�ݺ�ߣshows by User: ghaff

�ݺ�ߣshows by User: ghaff / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: ghaff / Fri, 21 Aug 2020 13:08:46 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: ghaff Artificial Intelligence: Beyond Machine Learning /slideshow/artificial-intelligence-beyond-machine-learning/238113458 aibeyondml-devconf-200821130846
The past decade or so has seen such rapid advances in supervised deep learning and neural networks that those areas, and machine learning more generally, have become almost synonymous with AI especially in popular media. However, there are other broad areas of research that have fed into AI historically and continue to be important today. In this talk, Red Hat’s Gordon Haff will place machine learning within this set of broader science and engineering specialties that include cognitive psychology, control theory, linguistics, and human factors. The goal is to provide attendees with a broader context for both learning and applying cross-disciplinary fields of study to their AI-related work.]]>
The past decade or so has seen such rapid advances in supervised deep learning and neural networks that those areas, and machine learning more generally, have become almost synonymous with AI especially in popular media. However, there are other broad areas of research that have fed into AI historically and continue to be important today. In this talk, Red Hat’s Gordon Haff will place machine learning within this set of broader science and engineering specialties that include cognitive psychology, control theory, linguistics, and human factors. The goal is to provide attendees with a broader context for both learning and applying cross-disciplinary fields of study to their AI-related work.]]> Fri, 21 Aug 2020 13:08:46 GMT /slideshow/artificial-intelligence-beyond-machine-learning/238113458 ghaff@slideshare.net(ghaff) Artificial Intelligence: Beyond Machine Learning ghaff The past decade or so has seen such rapid advances in supervised deep learning and neural networks that those areas, and machine learning more generally, have become almost synonymous with AI especially in popular media. However, there are other broad areas of research that have fed into AI historically and continue to be important today. In this talk, Red Hat’s Gordon Haff will place machine learning within this set of broader science and engineering specialties that include cognitive psychology, control theory, linguistics, and human factors. The goal is to provide attendees with a broader context for both learning and applying cross-disciplinary fields of study to their AI-related work. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aibeyondml-devconf-200821130846-thumbnail.jpg?width=120&height=120&fit=bounds" /> The past decade or so has seen such rapid advances in supervised deep learning and neural networks that those areas, and machine learning more generally, have become almost synonymous with AI especially in popular media. However, there are other broad areas of research that have fed into AI historically and continue to be important today. In this talk, Red Hat’s Gordon Haff will place machine learning within this set of broader science and engineering specialties that include cognitive psychology, control theory, linguistics, and human factors. The goal is to provide attendees with a broader context for both learning and applying cross-disciplinary fields of study to their AI-related work.

Artificial Intelligence: Beyond Machine Learning from Gordon Haff

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0 Blockchains for Business 101 /slideshow/blockchains-for-business-101/238113456 blockchain-devconf2020-200821130843
Blockchain has passed the height of its hype. But it’s relatively quietly made its way into important enterprise use cases. In this talk, Red Hat’s Gordon Haff will provide an overview of the open source blockchain technologies that have emerged as the market leaders. He’ll also examine the areas of the market in which enterprise blockchains have gained the greatest early traction and explain why that’s the case. This knowledge will provide attendees with the basics they need to become involved with blockchain projects and to understand where blockchain might be applicable to their organization’s business needs.]]>
Blockchain has passed the height of its hype. But it’s relatively quietly made its way into important enterprise use cases. In this talk, Red Hat’s Gordon Haff will provide an overview of the open source blockchain technologies that have emerged as the market leaders. He’ll also examine the areas of the market in which enterprise blockchains have gained the greatest early traction and explain why that’s the case. This knowledge will provide attendees with the basics they need to become involved with blockchain projects and to understand where blockchain might be applicable to their organization’s business needs.]]> Fri, 21 Aug 2020 13:08:43 GMT /slideshow/blockchains-for-business-101/238113456 ghaff@slideshare.net(ghaff) Blockchains for Business 101 ghaff Blockchain has passed the height of its hype. But it’s relatively quietly made its way into important enterprise use cases. In this talk, Red Hat’s Gordon Haff will provide an overview of the open source blockchain technologies that have emerged as the market leaders. He’ll also examine the areas of the market in which enterprise blockchains have gained the greatest early traction and explain why that’s the case. This knowledge will provide attendees with the basics they need to become involved with blockchain projects and to understand where blockchain might be applicable to their organization’s business needs. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/blockchain-devconf2020-200821130843-thumbnail.jpg?width=120&height=120&fit=bounds" /> Blockchain has passed the height of its hype. But it’s relatively quietly made its way into important enterprise use cases. In this talk, Red Hat’s Gordon Haff will provide an overview of the open source blockchain technologies that have emerged as the market leaders. He’ll also examine the areas of the market in which enterprise blockchains have gained the greatest early traction and explain why that’s the case. This knowledge will provide attendees with the basics they need to become involved with blockchain projects and to understand where blockchain might be applicable to their organization’s business needs.

Blockchains for Business 101 from Gordon Haff

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0 Preserving privacy while sharing data /slideshow/preserving-privacy-while-sharing-data/237292022 usingdata-devconf-200727155114
Deep learning and machine learning more broadly depend on large quantities of data to develop accurate predictive models. In areas such as medical research, sharing data among institutions can lead to even greater value. However, data often includes personally identifiable information that we may not want to (or even be legally allowed to) share with others. Traditional anonymization techniques only help to a degree. In this talk, Red Hat's Gordon Haff will share with you the active activity taking place in academia, open source communities, and elsewhere into techniques such as differential privacy and secure multi-party computation. The goal of this research and ongoing work is to help individuals and organizations work collaboratively while preserving the anonymity of individual data points.]]>
Deep learning and machine learning more broadly depend on large quantities of data to develop accurate predictive models. In areas such as medical research, sharing data among institutions can lead to even greater value. However, data often includes personally identifiable information that we may not want to (or even be legally allowed to) share with others. Traditional anonymization techniques only help to a degree. In this talk, Red Hat's Gordon Haff will share with you the active activity taking place in academia, open source communities, and elsewhere into techniques such as differential privacy and secure multi-party computation. The goal of this research and ongoing work is to help individuals and organizations work collaboratively while preserving the anonymity of individual data points.]]> Mon, 27 Jul 2020 15:51:14 GMT /slideshow/preserving-privacy-while-sharing-data/237292022 ghaff@slideshare.net(ghaff) Preserving privacy while sharing data ghaff Deep learning and machine learning more broadly depend on large quantities of data to develop accurate predictive models. In areas such as medical research, sharing data among institutions can lead to even greater value. However, data often includes personally identifiable information that we may not want to (or even be legally allowed to) share with others. Traditional anonymization techniques only help to a degree. In this talk, Red Hat's Gordon Haff will share with you the active activity taking place in academia, open source communities, and elsewhere into techniques such as differential privacy and secure multi-party computation. The goal of this research and ongoing work is to help individuals and organizations work collaboratively while preserving the anonymity of individual data points. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/usingdata-devconf-200727155114-thumbnail.jpg?width=120&height=120&fit=bounds" /> Deep learning and machine learning more broadly depend on large quantities of data to develop accurate predictive models. In areas such as medical research, sharing data among institutions can lead to even greater value. However, data often includes personally identifiable information that we may not want to (or even be legally allowed to) share with others. Traditional anonymization techniques only help to a degree. In this talk, Red Hat's Gordon Haff will share with you the active activity taking place in academia, open source communities, and elsewhere into techniques such as differential privacy and secure multi-party computation. The goal of this research and ongoing work is to help individuals and organizations work collaboratively while preserving the anonymity of individual data points.

Preserving privacy while sharing data from Gordon Haff

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0 Lightning Talk: Using Data without Compromising Privacy /slideshow/lightning-talk-using-data-without-compromising-privacy/188107014 usingdata-osslyon2019-191029081504
Deep learning and machine learning more broadly depend on large quantities of data to develop accurate predictive models. In areas such as medical research, sharing data among institutions can lead to even greater value. However, data often includes personally identifiable information that we may not want to (or even be legally allowed to) share with others. Traditional anonymization techniques only help to some degree. In this talk, Red Hat's Gordon Haff will share with you the active research activity taking place in academia and elsewhere into techniques such as multi-party computation and homomorphic encryption. The goal of this research is to enable broad information sharing leading to better models while preserving the anonymity of individual data points.]]>
Deep learning and machine learning more broadly depend on large quantities of data to develop accurate predictive models. In areas such as medical research, sharing data among institutions can lead to even greater value. However, data often includes personally identifiable information that we may not want to (or even be legally allowed to) share with others. Traditional anonymization techniques only help to some degree. In this talk, Red Hat's Gordon Haff will share with you the active research activity taking place in academia and elsewhere into techniques such as multi-party computation and homomorphic encryption. The goal of this research is to enable broad information sharing leading to better models while preserving the anonymity of individual data points.]]> Tue, 29 Oct 2019 08:15:04 GMT /slideshow/lightning-talk-using-data-without-compromising-privacy/188107014 ghaff@slideshare.net(ghaff) Lightning Talk: Using Data without Compromising Privacy ghaff Deep learning and machine learning more broadly depend on large quantities of data to develop accurate predictive models. In areas such as medical research, sharing data among institutions can lead to even greater value. However, data often includes personally identifiable information that we may not want to (or even be legally allowed to) share with others. Traditional anonymization techniques only help to some degree. In this talk, Red Hat's Gordon Haff will share with you the active research activity taking place in academia and elsewhere into techniques such as multi-party computation and homomorphic encryption. The goal of this research is to enable broad information sharing leading to better models while preserving the anonymity of individual data points. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/usingdata-osslyon2019-191029081504-thumbnail.jpg?width=120&height=120&fit=bounds" /> Deep learning and machine learning more broadly depend on large quantities of data to develop accurate predictive models. In areas such as medical research, sharing data among institutions can lead to even greater value. However, data often includes personally identifiable information that we may not want to (or even be legally allowed to) share with others. Traditional anonymization techniques only help to some degree. In this talk, Red Hat's Gordon Haff will share with you the active research activity taking place in academia and elsewhere into techniques such as multi-party computation and homomorphic encryption. The goal of this research is to enable broad information sharing leading to better models while preserving the anonymity of individual data points.

Lightning Talk: Using Data without Compromising Privacy from Gordon Haff

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0 Free and Open:An Historical Perspective /slideshow/free-and-openan-historical-perspective/188106001 freeandopen-191029081206
Software freedom. Open source development approaches. Commercial business models that incorporate open source software in some fashion. These interrelated threads have always had points of conflict and that has never been truer than in today’s cloud era. In this talk, Red Hat’s Gordon Haff will take you on a tour through how conflicting notions of ownership, cooperation, shared commons, and profit has played out since the early days of software and before. But this won’t be just a history lesson. There are today real and serious questions about what it means to have commercial software businesses that can thrive in a world of mega-scale public cloud providers delivering software in a far different manner than the world in which free and open source software was originally conceived. Does open source mean something different today? Should it? ]]>
Software freedom. Open source development approaches. Commercial business models that incorporate open source software in some fashion. These interrelated threads have always had points of conflict and that has never been truer than in today’s cloud era. In this talk, Red Hat’s Gordon Haff will take you on a tour through how conflicting notions of ownership, cooperation, shared commons, and profit has played out since the early days of software and before. But this won’t be just a history lesson. There are today real and serious questions about what it means to have commercial software businesses that can thrive in a world of mega-scale public cloud providers delivering software in a far different manner than the world in which free and open source software was originally conceived. Does open source mean something different today? Should it? ]]> Tue, 29 Oct 2019 08:12:06 GMT /slideshow/free-and-openan-historical-perspective/188106001 ghaff@slideshare.net(ghaff) Free and Open:An Historical Perspective ghaff Software freedom. Open source development approaches. Commercial business models that incorporate open source software in some fashion. These interrelated threads have always had points of conflict and that has never been truer than in today’s cloud era. In this talk, Red Hat’s Gordon Haff will take you on a tour through how conflicting notions of ownership, cooperation, shared commons, and profit has played out since the early days of software and before. But this won’t be just a history lesson. There are today real and serious questions about what it means to have commercial software businesses that can thrive in a world of mega-scale public cloud providers delivering software in a far different manner than the world in which free and open source software was originally conceived. Does open source mean something different today? Should it? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/freeandopen-191029081206-thumbnail.jpg?width=120&height=120&fit=bounds" /> Software freedom. Open source development approaches. Commercial business models that incorporate open source software in some fashion. These interrelated threads have always had points of conflict and that has never been truer than in today’s cloud era. In this talk, Red Hat’s Gordon Haff will take you on a tour through how conflicting notions of ownership, cooperation, shared commons, and profit has played out since the early days of software and before. But this won’t be just a history lesson. There are today real and serious questions about what it means to have commercial software businesses that can thrive in a world of mega-scale public cloud providers delivering software in a far different manner than the world in which free and open source software was originally conceived. Does open source mean something different today? Should it?

Free and Open:An Historical Perspective from Gordon Haff

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0 Why do we contribute (to open source)? /slideshow/why-do-we-contribute-to-open-source/185812858 contributelightning-191023144500
Why do individuals contribute to open source? For some, it's their day job but both principles from psychology and direct research paint a more complex story.]]>
Why do individuals contribute to open source? For some, it's their day job but both principles from psychology and direct research paint a more complex story.]]> Wed, 23 Oct 2019 14:45:00 GMT /slideshow/why-do-we-contribute-to-open-source/185812858 ghaff@slideshare.net(ghaff) Why do we contribute (to open source)? ghaff Why do individuals contribute to open source? For some, it's their day job but both principles from psychology and direct research paint a more complex story. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/contributelightning-191023144500-thumbnail.jpg?width=120&height=120&fit=bounds" /> Why do individuals contribute to open source? For some, it's their day job but both principles from psychology and direct research paint a more complex story.

Why do we contribute (to open source)? from Gordon Haff

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0 How do you get started in AI? /slideshow/how-do-you-get-started-in-ai/182794323 learningaiato2019-191016143523
[Shortened but updated version of talk] With all the market interest in artificial intelligence, it’s no surprise that many are asking about the best way to learn more about it. What should I read? What should I watch? There’s so much material out there. But, before one can properly answer those types of questions, it’s useful to take a step back and consider what “doing AI” even means because it turns out that AI can mean a lot of different things depending upon what you’re trying to accomplish. In this talk, Gordon Haff will provide you with both a high-level roadmap and specific pointers for adding AI smarts to your toolbox. He’ll distinguish between research AI and applied AI, discuss how AI intersects with data science more broadly, and look at some of the related research and practice areas that will help you understand AI beyond just machine learning. Armed with this knowledge, you will be better prepared to chart out a program for learning AI that targets your specific needs and objectives rather than wasting time on topics that are not interesting or relevant to you.]]>
[Shortened but updated version of talk] With all the market interest in artificial intelligence, it’s no surprise that many are asking about the best way to learn more about it. What should I read? What should I watch? There’s so much material out there. But, before one can properly answer those types of questions, it’s useful to take a step back and consider what “doing AI” even means because it turns out that AI can mean a lot of different things depending upon what you’re trying to accomplish. In this talk, Gordon Haff will provide you with both a high-level roadmap and specific pointers for adding AI smarts to your toolbox. He’ll distinguish between research AI and applied AI, discuss how AI intersects with data science more broadly, and look at some of the related research and practice areas that will help you understand AI beyond just machine learning. Armed with this knowledge, you will be better prepared to chart out a program for learning AI that targets your specific needs and objectives rather than wasting time on topics that are not interesting or relevant to you.]]> Wed, 16 Oct 2019 14:35:23 GMT /slideshow/how-do-you-get-started-in-ai/182794323 ghaff@slideshare.net(ghaff) How do you get started in AI? ghaff [Shortened but updated version of talk] With all the market interest in artificial intelligence, it’s no surprise that many are asking about the best way to learn more about it. What should I read? What should I watch? There’s so much material out there. But, before one can properly answer those types of questions, it’s useful to take a step back and consider what “doing AI” even means because it turns out that AI can mean a lot of different things depending upon what you’re trying to accomplish. In this talk, Gordon Haff will provide you with both a high-level roadmap and specific pointers for adding AI smarts to your toolbox. He’ll distinguish between research AI and applied AI, discuss how AI intersects with data science more broadly, and look at some of the related research and practice areas that will help you understand AI beyond just machine learning. Armed with this knowledge, you will be better prepared to chart out a program for learning AI that targets your specific needs and objectives rather than wasting time on topics that are not interesting or relevant to you. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/learningaiato2019-191016143523-thumbnail.jpg?width=120&height=120&fit=bounds" /> [Shortened but updated version of talk] With all the market interest in artificial intelligence, it’s no surprise that many are asking about the best way to learn more about it. What should I read? What should I watch? There’s so much material out there. But, before one can properly answer those types of questions, it’s useful to take a step back and consider what “doing AI” even means because it turns out that AI can mean a lot of different things depending upon what you’re trying to accomplish. In this talk, Gordon Haff will provide you with both a high-level roadmap and specific pointers for adding AI smarts to your toolbox. He’ll distinguish between research AI and applied AI, discuss how AI intersects with data science more broadly, and look at some of the related research and practice areas that will help you understand AI beyond just machine learning. Armed with this knowledge, you will be better prepared to chart out a program for learning AI that targets your specific needs and objectives rather than wasting time on topics that are not interesting or relevant to you.

How do you get started in AI? from Gordon Haff

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0 The good the bad and the ugly: Getting started doing AI /slideshow/the-good-the-bad-and-the-ugly-getting-started-doing-ai/151671021 learningai-190625041341
With all the market interest in artificial intelligence, it’s no surprise that many are asking about the best way to learn more about it. What should I read? What should I watch? There’s so much material out there. But, before one can properly answer those types of questions, it’s useful to take a step back and consider what “doing AI” even means because it turns out that AI can mean a lot of different things depending upon what you’re trying to accomplish. In this talk, Gordon Haff will provide you with both a high-level roadmap and specific pointers for adding AI smarts to your toolbox. He’ll distinguish between research AI and applied AI, discuss how AI intersects with data science more broadly, and look at some of related research and practice areas that will help you understand AI beyond just machine learning. Armed with this knowledge, you will be better prepared to chart out a program for learning AI that targets your specific needs and objectives rather than wasting time on topics that are not interesting or relevant to you.]]>
With all the market interest in artificial intelligence, it’s no surprise that many are asking about the best way to learn more about it. What should I read? What should I watch? There’s so much material out there. But, before one can properly answer those types of questions, it’s useful to take a step back and consider what “doing AI” even means because it turns out that AI can mean a lot of different things depending upon what you’re trying to accomplish. In this talk, Gordon Haff will provide you with both a high-level roadmap and specific pointers for adding AI smarts to your toolbox. He’ll distinguish between research AI and applied AI, discuss how AI intersects with data science more broadly, and look at some of related research and practice areas that will help you understand AI beyond just machine learning. Armed with this knowledge, you will be better prepared to chart out a program for learning AI that targets your specific needs and objectives rather than wasting time on topics that are not interesting or relevant to you.]]> Tue, 25 Jun 2019 04:13:41 GMT /slideshow/the-good-the-bad-and-the-ugly-getting-started-doing-ai/151671021 ghaff@slideshare.net(ghaff) The good the bad and the ugly: Getting started doing AI ghaff With all the market interest in artificial intelligence, it’s no surprise that many are asking about the best way to learn more about it. What should I read? What should I watch? There’s so much material out there. But, before one can properly answer those types of questions, it’s useful to take a step back and consider what “doing AI” even means because it turns out that AI can mean a lot of different things depending upon what you’re trying to accomplish. In this talk, Gordon Haff will provide you with both a high-level roadmap and specific pointers for adding AI smarts to your toolbox. He’ll distinguish between research AI and applied AI, discuss how AI intersects with data science more broadly, and look at some of related research and practice areas that will help you understand AI beyond just machine learning. Armed with this knowledge, you will be better prepared to chart out a program for learning AI that targets your specific needs and objectives rather than wasting time on topics that are not interesting or relevant to you. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/learningai-190625041341-thumbnail.jpg?width=120&height=120&fit=bounds" /> With all the market interest in artificial intelligence, it’s no surprise that many are asking about the best way to learn more about it. What should I read? What should I watch? There’s so much material out there. But, before one can properly answer those types of questions, it’s useful to take a step back and consider what “doing AI” even means because it turns out that AI can mean a lot of different things depending upon what you’re trying to accomplish. In this talk, Gordon Haff will provide you with both a high-level roadmap and specific pointers for adding AI smarts to your toolbox. He’ll distinguish between research AI and applied AI, discuss how AI intersects with data science more broadly, and look at some of related research and practice areas that will help you understand AI beyond just machine learning. Armed with this knowledge, you will be better prepared to chart out a program for learning AI that targets your specific needs and objectives rather than wasting time on topics that are not interesting or relevant to you.

The good the bad and the ugly: Getting started doing AI from Gordon Haff

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0 Cloud-Native: A New Ecosystem for Putting Containers into Production /slideshow/cloudnative-a-new-ecosystem-for-putting-containers-into-production-151669792/151669792 cloud-native-2019-190625040832
Updated version for CloudExpo 2019 The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addresses many of the challenges faced by developers and operators as monolithic applications transition towards a distributed microservice architecture. A tracing tool like Jaeger analyzes what's happening as a transaction moves through a distributed system. Monitoring software like Prometheus captures time-series events for real-time alerting and other uses. Grafeas and Kritis provide security policy attestation and enforcement. And there are many more. In short, there's an entire new cloud-native ecosystem growing up around containers. Come to this talk by Red Hat technology evangelist Gordon Haff and learn all about it.]]>
Updated version for CloudExpo 2019 The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addresses many of the challenges faced by developers and operators as monolithic applications transition towards a distributed microservice architecture. A tracing tool like Jaeger analyzes what's happening as a transaction moves through a distributed system. Monitoring software like Prometheus captures time-series events for real-time alerting and other uses. Grafeas and Kritis provide security policy attestation and enforcement. And there are many more. In short, there's an entire new cloud-native ecosystem growing up around containers. Come to this talk by Red Hat technology evangelist Gordon Haff and learn all about it.]]> Tue, 25 Jun 2019 04:08:32 GMT /slideshow/cloudnative-a-new-ecosystem-for-putting-containers-into-production-151669792/151669792 ghaff@slideshare.net(ghaff) Cloud-Native: A New Ecosystem for Putting Containers into Production ghaff Updated version for CloudExpo 2019 The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addresses many of the challenges faced by developers and operators as monolithic applications transition towards a distributed microservice architecture. A tracing tool like Jaeger analyzes what's happening as a transaction moves through a distributed system. Monitoring software like Prometheus captures time-series events for real-time alerting and other uses. Grafeas and Kritis provide security policy attestation and enforcement. And there are many more. In short, there's an entire new cloud-native ecosystem growing up around containers. Come to this talk by Red Hat technology evangelist Gordon Haff and learn all about it. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cloud-native-2019-190625040832-thumbnail.jpg?width=120&height=120&fit=bounds" /> Updated version for CloudExpo 2019 The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addresses many of the challenges faced by developers and operators as monolithic applications transition towards a distributed microservice architecture. A tracing tool like Jaeger analyzes what's happening as a transaction moves through a distributed system. Monitoring software like Prometheus captures time-series events for real-time alerting and other uses. Grafeas and Kritis provide security policy attestation and enforcement. And there are many more. In short, there's an entire new cloud-native ecosystem growing up around containers. Come to this talk by Red Hat technology evangelist Gordon Haff and learn all about it.

Cloud-Native: A New Ecosystem for Putting Containers into Production from Gordon Haff

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0 Containers: Don't Skeu Them Up /slideshow/containers-dont-skeu-them-up/151668918 deck-3-7-190625040500
June 2019 update for CloudExpo Santa Clara Skeuomorphism usually means retaining existing design cues in something new that doesn't actually need them. However, the concept of skeuomorphism can be thought of as relating more broadly to applying existing patterns to new technologies that, in fact, cry out for new approaches. In his session at ServerlessSUMMIT, Gordon Haff, Technology Evangelist at Red Hat, will discuss why containers should be paired with new architectural practices such as microservices rather than mimicking legacy server virtualization workflows and architectures. It's far more fruitful and useful to approach containers as something fundamentally new and enabling that's part and parcel of an environment including containerized operating systems, container packaging systems, container orchestration like Kubernetes, DevOps continuous integration and deployment practices, microservices architectures, "cattle" workloads, software-defined everything, management across hybrid infrastructures, and pervasive open source as part of a new platform for cloud apps.]]>
June 2019 update for CloudExpo Santa Clara Skeuomorphism usually means retaining existing design cues in something new that doesn't actually need them. However, the concept of skeuomorphism can be thought of as relating more broadly to applying existing patterns to new technologies that, in fact, cry out for new approaches. In his session at ServerlessSUMMIT, Gordon Haff, Technology Evangelist at Red Hat, will discuss why containers should be paired with new architectural practices such as microservices rather than mimicking legacy server virtualization workflows and architectures. It's far more fruitful and useful to approach containers as something fundamentally new and enabling that's part and parcel of an environment including containerized operating systems, container packaging systems, container orchestration like Kubernetes, DevOps continuous integration and deployment practices, microservices architectures, "cattle" workloads, software-defined everything, management across hybrid infrastructures, and pervasive open source as part of a new platform for cloud apps.]]> Tue, 25 Jun 2019 04:05:00 GMT /slideshow/containers-dont-skeu-them-up/151668918 ghaff@slideshare.net(ghaff) Containers: Don't Skeu Them Up ghaff June 2019 update for CloudExpo Santa Clara Skeuomorphism usually means retaining existing design cues in something new that doesn't actually need them. However, the concept of skeuomorphism can be thought of as relating more broadly to applying existing patterns to new technologies that, in fact, cry out for new approaches. In his session at ServerlessSUMMIT, Gordon Haff, Technology Evangelist at Red Hat, will discuss why containers should be paired with new architectural practices such as microservices rather than mimicking legacy server virtualization workflows and architectures. It's far more fruitful and useful to approach containers as something fundamentally new and enabling that's part and parcel of an environment including containerized operating systems, container packaging systems, container orchestration like Kubernetes, DevOps continuous integration and deployment practices, microservices architectures, "cattle" workloads, software-defined everything, management across hybrid infrastructures, and pervasive open source as part of a new platform for cloud apps. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/deck-3-7-190625040500-thumbnail.jpg?width=120&height=120&fit=bounds" /> June 2019 update for CloudExpo Santa Clara Skeuomorphism usually means retaining existing design cues in something new that doesn't actually need them. However, the concept of skeuomorphism can be thought of as relating more broadly to applying existing patterns to new technologies that, in fact, cry out for new approaches. In his session at ServerlessSUMMIT, Gordon Haff, Technology Evangelist at Red Hat, will discuss why containers should be paired with new architectural practices such as microservices rather than mimicking legacy server virtualization workflows and architectures. It's far more fruitful and useful to approach containers as something fundamentally new and enabling that's part and parcel of an environment including containerized operating systems, container packaging systems, container orchestration like Kubernetes, DevOps continuous integration and deployment practices, microservices architectures, "cattle" workloads, software-defined everything, management across hybrid infrastructures, and pervasive open source as part of a new platform for cloud apps.

Containers: Don't Skeu Them Up from Gordon Haff

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0 Cloud-Native: A New Ecosystem for Putting Containers into Production /slideshow/cloudnative-a-new-ecosystem-for-putting-containers-into-production/122840126 cloudnative-181112205852
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addresses many of the challenges faced by developers and operators as monolithic applications transition towards a distributed microservice architecture. A tracing tool like Jaeger analyzes what's happening as a transaction moves through a distributed system. Monitoring software like Prometheus captures time-series events for real-time alerting and other uses. Grafeas and Kritis provide security policy attestation and enforcement. And there are many more. In short, there's an entire new cloud-native ecosystem growing up around containers. Come to this talk by Red Hat technology evangelist Gordon Haff and learn all about it.]]>
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addresses many of the challenges faced by developers and operators as monolithic applications transition towards a distributed microservice architecture. A tracing tool like Jaeger analyzes what's happening as a transaction moves through a distributed system. Monitoring software like Prometheus captures time-series events for real-time alerting and other uses. Grafeas and Kritis provide security policy attestation and enforcement. And there are many more. In short, there's an entire new cloud-native ecosystem growing up around containers. Come to this talk by Red Hat technology evangelist Gordon Haff and learn all about it.]]> Mon, 12 Nov 2018 20:58:52 GMT /slideshow/cloudnative-a-new-ecosystem-for-putting-containers-into-production/122840126 ghaff@slideshare.net(ghaff) Cloud-Native: A New Ecosystem for Putting Containers into Production ghaff The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addresses many of the challenges faced by developers and operators as monolithic applications transition towards a distributed microservice architecture. A tracing tool like Jaeger analyzes what's happening as a transaction moves through a distributed system. Monitoring software like Prometheus captures time-series events for real-time alerting and other uses. Grafeas and Kritis provide security policy attestation and enforcement. And there are many more. In short, there's an entire new cloud-native ecosystem growing up around containers. Come to this talk by Red Hat technology evangelist Gordon Haff and learn all about it. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cloudnative-181112205852-thumbnail.jpg?width=120&height=120&fit=bounds" /> The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addresses many of the challenges faced by developers and operators as monolithic applications transition towards a distributed microservice architecture. A tracing tool like Jaeger analyzes what's happening as a transaction moves through a distributed system. Monitoring software like Prometheus captures time-series events for real-time alerting and other uses. Grafeas and Kritis provide security policy attestation and enforcement. And there are many more. In short, there's an entire new cloud-native ecosystem growing up around containers. Come to this talk by Red Hat technology evangelist Gordon Haff and learn all about it.

Cloud-Native: A New Ecosystem for Putting Containers into Production from Gordon Haff

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0 DevSecOps: The Open Source Way for CloudExpo 2018 /slideshow/devsecops-the-open-source-way-for-cloudexpo-2018/122839941 cloudexpodevsecops-181112205602
DevOps purists may chafe at the DevSecOps term given that security and other important practices are supposed to already be an integral part of routine DevOps workflows. But the reality is that security often gets more lip service than thoughtful and systematic integration into open source software sourcing, development pipelines, and operations processes--in spite of an increasing number of threats. The extensive use of modular open source software from third-parties, distributed development teams, and rapid iterative releases require a commitment to security and the adoption of security approaches that are continuous, adaptive, and heavily automated. In this session, Red Hat Technology Evangelist Gordon Haff look at successful practices that distributed and diverse teams use to iterate rapidly. While still reacting quickly to threats and minimizing business risk. I'll discuss how a container platform can serve as the foundation for DevSecOps in your organization. I'll also consider the risk management associated with integrating components from a variety of sources--a consideration that open source software has had to deal with since the beginning. Finally, I'll show ways by which automation and repeatable trusted delivery of code can be built directly into a DevOps pipeline.]]>
DevOps purists may chafe at the DevSecOps term given that security and other important practices are supposed to already be an integral part of routine DevOps workflows. But the reality is that security often gets more lip service than thoughtful and systematic integration into open source software sourcing, development pipelines, and operations processes--in spite of an increasing number of threats. The extensive use of modular open source software from third-parties, distributed development teams, and rapid iterative releases require a commitment to security and the adoption of security approaches that are continuous, adaptive, and heavily automated. In this session, Red Hat Technology Evangelist Gordon Haff look at successful practices that distributed and diverse teams use to iterate rapidly. While still reacting quickly to threats and minimizing business risk. I'll discuss how a container platform can serve as the foundation for DevSecOps in your organization. I'll also consider the risk management associated with integrating components from a variety of sources--a consideration that open source software has had to deal with since the beginning. Finally, I'll show ways by which automation and repeatable trusted delivery of code can be built directly into a DevOps pipeline.]]> Mon, 12 Nov 2018 20:56:02 GMT /slideshow/devsecops-the-open-source-way-for-cloudexpo-2018/122839941 ghaff@slideshare.net(ghaff) DevSecOps: The Open Source Way for CloudExpo 2018 ghaff DevOps purists may chafe at the DevSecOps term given that security and other important practices are supposed to already be an integral part of routine DevOps workflows. But the reality is that security often gets more lip service than thoughtful and systematic integration into open source software sourcing, development pipelines, and operations processes--in spite of an increasing number of threats. The extensive use of modular open source software from third-parties, distributed development teams, and rapid iterative releases require a commitment to security and the adoption of security approaches that are continuous, adaptive, and heavily automated. In this session, Red Hat Technology Evangelist Gordon Haff look at successful practices that distributed and diverse teams use to iterate rapidly. While still reacting quickly to threats and minimizing business risk. I'll discuss how a container platform can serve as the foundation for DevSecOps in your organization. I'll also consider the risk management associated with integrating components from a variety of sources--a consideration that open source software has had to deal with since the beginning. Finally, I'll show ways by which automation and repeatable trusted delivery of code can be built directly into a DevOps pipeline. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cloudexpodevsecops-181112205602-thumbnail.jpg?width=120&height=120&fit=bounds" /> DevOps purists may chafe at the DevSecOps term given that security and other important practices are supposed to already be an integral part of routine DevOps workflows. But the reality is that security often gets more lip service than thoughtful and systematic integration into open source software sourcing, development pipelines, and operations processes--in spite of an increasing number of threats. The extensive use of modular open source software from third-parties, distributed development teams, and rapid iterative releases require a commitment to security and the adoption of security approaches that are continuous, adaptive, and heavily automated. In this session, Red Hat Technology Evangelist Gordon Haff look at successful practices that distributed and diverse teams use to iterate rapidly. While still reacting quickly to threats and minimizing business risk. I'll discuss how a container platform can serve as the foundation for DevSecOps in your organization. I'll also consider the risk management associated with integrating components from a variety of sources--a consideration that open source software has had to deal with since the beginning. Finally, I'll show ways by which automation and repeatable trusted delivery of code can be built directly into a DevOps pipeline.

DevSecOps: The Open Source Way for CloudExpo 2018 from Gordon Haff

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0 AI: The Good, the Bad, and the Practical for CloudExpo 2018 /ghaff/ai-the-good-the-bad-and-the-practical-for-cloudexpo-2018 aiforcloudexpo2018-181112205302
Artificial intelligence, machine learning, neural networks. We're in the midst of a wave of excitement around AI such as hasn't been seen for a few decades. But those previous periods of inflated expectations led to troughs of disappointment. This time is (mostly) different. Applications of AI such as predictive analytics are already decreasing costs and improving reliability of industrial machinery. Pattern recognition can equal or exceed the ability of human experts in some domains. It's developing into an increasingly commercially important technology area. (Although it's also easy to look at wins in specific domains and generalize to an overly-optimistic view of AI writ large.) In this session, Red Hat Technology Evangelist for Emerging Technology Gordon Haff will examine the AI landscape and identify those domains and approaches that have seen genuine advance and why. He'll also discuss some of the specific ways in which both organizations and individuals are getting up to speed with AI today.]]>
Artificial intelligence, machine learning, neural networks. We're in the midst of a wave of excitement around AI such as hasn't been seen for a few decades. But those previous periods of inflated expectations led to troughs of disappointment. This time is (mostly) different. Applications of AI such as predictive analytics are already decreasing costs and improving reliability of industrial machinery. Pattern recognition can equal or exceed the ability of human experts in some domains. It's developing into an increasingly commercially important technology area. (Although it's also easy to look at wins in specific domains and generalize to an overly-optimistic view of AI writ large.) In this session, Red Hat Technology Evangelist for Emerging Technology Gordon Haff will examine the AI landscape and identify those domains and approaches that have seen genuine advance and why. He'll also discuss some of the specific ways in which both organizations and individuals are getting up to speed with AI today.]]> Mon, 12 Nov 2018 20:53:02 GMT /ghaff/ai-the-good-the-bad-and-the-practical-for-cloudexpo-2018 ghaff@slideshare.net(ghaff) AI: The Good, the Bad, and the Practical for CloudExpo 2018 ghaff Artificial intelligence, machine learning, neural networks. We're in the midst of a wave of excitement around AI such as hasn't been seen for a few decades. But those previous periods of inflated expectations led to troughs of disappointment. This time is (mostly) different. Applications of AI such as predictive analytics are already decreasing costs and improving reliability of industrial machinery. Pattern recognition can equal or exceed the ability of human experts in some domains. It's developing into an increasingly commercially important technology area. (Although it's also easy to look at wins in specific domains and generalize to an overly-optimistic view of AI writ large.) In this session, Red Hat Technology Evangelist for Emerging Technology Gordon Haff will examine the AI landscape and identify those domains and approaches that have seen genuine advance and why. He'll also discuss some of the specific ways in which both organizations and individuals are getting up to speed with AI today. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aiforcloudexpo2018-181112205302-thumbnail.jpg?width=120&height=120&fit=bounds" /> Artificial intelligence, machine learning, neural networks. We're in the midst of a wave of excitement around AI such as hasn't been seen for a few decades. But those previous periods of inflated expectations led to troughs of disappointment. This time is (mostly) different. Applications of AI such as predictive analytics are already decreasing costs and improving reliability of industrial machinery. Pattern recognition can equal or exceed the ability of human experts in some domains. It's developing into an increasingly commercially important technology area. (Although it's also easy to look at wins in specific domains and generalize to an overly-optimistic view of AI writ large.) In this session, Red Hat Technology Evangelist for Emerging Technology Gordon Haff will examine the AI landscape and identify those domains and approaches that have seen genuine advance and why. He'll also discuss some of the specific ways in which both organizations and individuals are getting up to speed with AI today.

AI: The Good, the Bad, and the Practical for CloudExpo 2018 from Gordon Haff

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0 DevSecOps: The Open Source Way /slideshow/devsecops-the-open-source-way-103322004/103322004 flight2018emeadevsecops-180627182337
Amsterdam, May 2018 Even DevOps purists are now embracing the DevSecOps term as they’ve recognized how siloed security often remains. Security still gets more lip service than thoughtful and systematic integration into open source software sourcing, development pipelines, and operations processes--in spite of an increasing number of threats. Distributed development teams and rapid iterative releases require a commitment to security approaches that are continuous, adaptive, and heavily automated. In this session, Red Hat Technology Evangelist Gordon Haff will discuss successful practices for using a rich ecosystem of open source and other software to bake security into the development and deployment pipeline to both iterate quickly and minimize business risk. He’ll discuss how container platforms and other cloud-native tooling can serve as the foundation for DevSecOps. Finally, he’ll look at good practices for integrating components from a variety of sources--a consideration that open source software has had to deal with since the beginning. ]]>
Amsterdam, May 2018 Even DevOps purists are now embracing the DevSecOps term as they’ve recognized how siloed security often remains. Security still gets more lip service than thoughtful and systematic integration into open source software sourcing, development pipelines, and operations processes--in spite of an increasing number of threats. Distributed development teams and rapid iterative releases require a commitment to security approaches that are continuous, adaptive, and heavily automated. In this session, Red Hat Technology Evangelist Gordon Haff will discuss successful practices for using a rich ecosystem of open source and other software to bake security into the development and deployment pipeline to both iterate quickly and minimize business risk. He’ll discuss how container platforms and other cloud-native tooling can serve as the foundation for DevSecOps. Finally, he’ll look at good practices for integrating components from a variety of sources--a consideration that open source software has had to deal with since the beginning. ]]> Wed, 27 Jun 2018 18:23:37 GMT /slideshow/devsecops-the-open-source-way-103322004/103322004 ghaff@slideshare.net(ghaff) DevSecOps: The Open Source Way ghaff Amsterdam, May 2018 Even DevOps purists are now embracing the DevSecOps term as they’ve recognized how siloed security often remains. Security still gets more lip service than thoughtful and systematic integration into open source software sourcing, development pipelines, and operations processes--in spite of an increasing number of threats. Distributed development teams and rapid iterative releases require a commitment to security approaches that are continuous, adaptive, and heavily automated. In this session, Red Hat Technology Evangelist Gordon Haff will discuss successful practices for using a rich ecosystem of open source and other software to bake security into the development and deployment pipeline to both iterate quickly and minimize business risk. He’ll discuss how container platforms and other cloud-native tooling can serve as the foundation for DevSecOps. Finally, he’ll look at good practices for integrating components from a variety of sources--a consideration that open source software has had to deal with since the beginning. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/flight2018emeadevsecops-180627182337-thumbnail.jpg?width=120&height=120&fit=bounds" /> Amsterdam, May 2018 Even DevOps purists are now embracing the DevSecOps term as they’ve recognized how siloed security often remains. Security still gets more lip service than thoughtful and systematic integration into open source software sourcing, development pipelines, and operations processes--in spite of an increasing number of threats. Distributed development teams and rapid iterative releases require a commitment to security approaches that are continuous, adaptive, and heavily automated. In this session, Red Hat Technology Evangelist Gordon Haff will discuss successful practices for using a rich ecosystem of open source and other software to bake security into the development and deployment pipeline to both iterate quickly and minimize business risk. He’ll discuss how container platforms and other cloud-native tooling can serve as the foundation for DevSecOps. Finally, he’ll look at good practices for integrating components from a variety of sources--a consideration that open source software has had to deal with since the beginning.

DevSecOps: The Open Source Way from Gordon Haff

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0 Ten layers of container security for CloudCamp Nov 2017 /slideshow/ten-layers-of-container-security-for-cloudcamp-nov-2017/83737025 tenlayersofcontainersecurity-cloudcamp-171209175119
This presentation describes the multiple layers at which container security should be thought about and implemented.]]>
This presentation describes the multiple layers at which container security should be thought about and implemented.]]> Sat, 09 Dec 2017 17:51:19 GMT /slideshow/ten-layers-of-container-security-for-cloudcamp-nov-2017/83737025 ghaff@slideshare.net(ghaff) Ten layers of container security for CloudCamp Nov 2017 ghaff This presentation describes the multiple layers at which container security should be thought about and implemented. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tenlayersofcontainersecurity-cloudcamp-171209175119-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation describes the multiple layers at which container security should be thought about and implemented.

Ten layers of container security for CloudCamp Nov 2017 from Gordon Haff

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0 That's not a metric! Data for cloud-native success /slideshow/thats-not-a-metric-data-for-cloudnative-success/77274988 notametric-170626183929
“Without data, you’re just another person with an opinion.” W. Edwards Deming was talking about statistical quality control in manufacturing but he could equally have been referring to managing modern iterative and automated software deployment pipelines and cloud-native infrastructure. Certainly there's a wealth of open source tools to capture and visualize data. However, a data strategy isn’t solely or even mostly about drawing up a long list of technical measurements and instrumenting software to capture everything. It's crucial to distinguish between metrics that relate software initiatives to positive business outcomes, the alerts needed to respond to problems now, and the data required for root cause analysis or to optimize processes over time. All data is not equal. And most data is not a metric for measuring success.]]>
“Without data, you’re just another person with an opinion.” W. Edwards Deming was talking about statistical quality control in manufacturing but he could equally have been referring to managing modern iterative and automated software deployment pipelines and cloud-native infrastructure. Certainly there's a wealth of open source tools to capture and visualize data. However, a data strategy isn’t solely or even mostly about drawing up a long list of technical measurements and instrumenting software to capture everything. It's crucial to distinguish between metrics that relate software initiatives to positive business outcomes, the alerts needed to respond to problems now, and the data required for root cause analysis or to optimize processes over time. All data is not equal. And most data is not a metric for measuring success.]]> Mon, 26 Jun 2017 18:39:28 GMT /slideshow/thats-not-a-metric-data-for-cloudnative-success/77274988 ghaff@slideshare.net(ghaff) That's not a metric! Data for cloud-native success ghaff “Without data, you’re just another person with an opinion.” W. Edwards Deming was talking about statistical quality control in manufacturing but he could equally have been referring to managing modern iterative and automated software deployment pipelines and cloud-native infrastructure. Certainly there's a wealth of open source tools to capture and visualize data. However, a data strategy isn’t solely or even mostly about drawing up a long list of technical measurements and instrumenting software to capture everything. It's crucial to distinguish between metrics that relate software initiatives to positive business outcomes, the alerts needed to respond to problems now, and the data required for root cause analysis or to optimize processes over time. All data is not equal. And most data is not a metric for measuring success. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/notametric-170626183929-thumbnail.jpg?width=120&height=120&fit=bounds" /> “Without data, you’re just another person with an opinion.” W. Edwards Deming was talking about statistical quality control in manufacturing but he could equally have been referring to managing modern iterative and automated software deployment pipelines and cloud-native infrastructure. Certainly there's a wealth of open source tools to capture and visualize data. However, a data strategy isn’t solely or even mostly about drawing up a long list of technical measurements and instrumenting software to capture everything. It's crucial to distinguish between metrics that relate software initiatives to positive business outcomes, the alerts needed to respond to problems now, and the data required for root cause analysis or to optimize processes over time. All data is not equal. And most data is not a metric for measuring success.

That's not a metric! Data for cloud-native success from Gordon Haff

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0 The Interesting IoT: Digitizing Operations /slideshow/the-interesting-iot-digitizing-operations/76658855 theinterestingiot-digitizingoperations-170605145019
Internet-of-Things discussions can end up either going down the consumer gadget rabbit hole or focused on the sort of data logging that industrial manufacturers have been doing forever. However, in fact, companies today are already using IoT data both to optimize their operational technology and to improve the experience of customer interactions in novel ways. In this session, Red Hat Technology Evangelist Gordon Haff will share examples from a wide range of industries--including energy, transportation, and retail--of using IoT to create new business opportunities and improve efficiency. We’ll also discuss strategies for protecting data as it flows through a distributed IoT solution from endpoints that are often difficult to reliably secure. This includes practices for using IoT gateways, maintaining secure communications, and determining appropriate policies for different types of data. ]]>
Internet-of-Things discussions can end up either going down the consumer gadget rabbit hole or focused on the sort of data logging that industrial manufacturers have been doing forever. However, in fact, companies today are already using IoT data both to optimize their operational technology and to improve the experience of customer interactions in novel ways. In this session, Red Hat Technology Evangelist Gordon Haff will share examples from a wide range of industries--including energy, transportation, and retail--of using IoT to create new business opportunities and improve efficiency. We’ll also discuss strategies for protecting data as it flows through a distributed IoT solution from endpoints that are often difficult to reliably secure. This includes practices for using IoT gateways, maintaining secure communications, and determining appropriate policies for different types of data. ]]> Mon, 05 Jun 2017 14:50:18 GMT /slideshow/the-interesting-iot-digitizing-operations/76658855 ghaff@slideshare.net(ghaff) The Interesting IoT: Digitizing Operations ghaff Internet-of-Things discussions can end up either going down the consumer gadget rabbit hole or focused on the sort of data logging that industrial manufacturers have been doing forever. However, in fact, companies today are already using IoT data both to optimize their operational technology and to improve the experience of customer interactions in novel ways. In this session, Red Hat Technology Evangelist Gordon Haff will share examples from a wide range of industries--including energy, transportation, and retail--of using IoT to create new business opportunities and improve efficiency. We’ll also discuss strategies for protecting data as it flows through a distributed IoT solution from endpoints that are often difficult to reliably secure. This includes practices for using IoT gateways, maintaining secure communications, and determining appropriate policies for different types of data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/theinterestingiot-digitizingoperations-170605145019-thumbnail.jpg?width=120&height=120&fit=bounds" /> Internet-of-Things discussions can end up either going down the consumer gadget rabbit hole or focused on the sort of data logging that industrial manufacturers have been doing forever. However, in fact, companies today are already using IoT data both to optimize their operational technology and to improve the experience of customer interactions in novel ways. In this session, Red Hat Technology Evangelist Gordon Haff will share examples from a wide range of industries--including energy, transportation, and retail--of using IoT to create new business opportunities and improve efficiency. We’ll also discuss strategies for protecting data as it flows through a distributed IoT solution from endpoints that are often difficult to reliably secure. This includes practices for using IoT gateways, maintaining secure communications, and determining appropriate policies for different types of data.

The Interesting IoT: Digitizing Operations from Gordon Haff

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0 A short history of packaging (Monkigras 2017) /slideshow/a-short-history-of-packaging-monkigras-2017/71608321 ashorthistoryofpackaging-monkigras-170131213931
Big changes are well underway in how software gets packaged and delivered. But even relatively modern takes on packaging goods and services for sale and consumption go back hundreds of years. In this talk, Gordon Haff will take you on a whirlwind tour of packaging. What forms has packaging taken? What problems were being solved? What kinds of trade-offs need to be made? What lessons can we learn? The goal is to step back from specific technology and consider the fundamental objectives and solutions involved in moving from disaggregated one-off things to bundled, standardized, or homogenized packaged goods. And don’t worry. This isn’t another talk about container ships.]]>
Big changes are well underway in how software gets packaged and delivered. But even relatively modern takes on packaging goods and services for sale and consumption go back hundreds of years. In this talk, Gordon Haff will take you on a whirlwind tour of packaging. What forms has packaging taken? What problems were being solved? What kinds of trade-offs need to be made? What lessons can we learn? The goal is to step back from specific technology and consider the fundamental objectives and solutions involved in moving from disaggregated one-off things to bundled, standardized, or homogenized packaged goods. And don’t worry. This isn’t another talk about container ships.]]> Tue, 31 Jan 2017 21:39:31 GMT /slideshow/a-short-history-of-packaging-monkigras-2017/71608321 ghaff@slideshare.net(ghaff) A short history of packaging (Monkigras 2017) ghaff Big changes are well underway in how software gets packaged and delivered. But even relatively modern takes on packaging goods and services for sale and consumption go back hundreds of years. In this talk, Gordon Haff will take you on a whirlwind tour of packaging. What forms has packaging taken? What problems were being solved? What kinds of trade-offs need to be made? What lessons can we learn? The goal is to step back from specific technology and consider the fundamental objectives and solutions involved in moving from disaggregated one-off things to bundled, standardized, or homogenized packaged goods. And don’t worry. This isn’t another talk about container ships. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ashorthistoryofpackaging-monkigras-170131213931-thumbnail.jpg?width=120&height=120&fit=bounds" /> Big changes are well underway in how software gets packaged and delivered. But even relatively modern takes on packaging goods and services for sale and consumption go back hundreds of years. In this talk, Gordon Haff will take you on a whirlwind tour of packaging. What forms has packaging taken? What problems were being solved? What kinds of trade-offs need to be made? What lessons can we learn? The goal is to step back from specific technology and consider the fundamental objectives and solutions involved in moving from disaggregated one-off things to bundled, standardized, or homogenized packaged goods. And don’t worry. This isn’t another talk about container ships.

A short history of packaging (Monkigras 2017) from Gordon Haff

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0 Optimizing the Ops in DevOps /slideshow/optimizing-the-ops-in-devops/68429291 optimizingtheopsindevops-161108215704
As DevOps practices have been put into wide use, it's become evident that developers and operations aren't merging to become one discipline. Nor is operations simply going away. Rather, DevOps is leading software development and operations - together with other practices such as security - to collaborate and coexist with less overhead and conflict than in the past. In his session at @DevOpsSummit at 19th Cloud Expo, Gordon Haff, Red Hat Technology Evangelist, will discuss what modern operational practices look like in a world in which applications are more loosely coupled, are developed using DevOps approaches, and are deployed on software-defined, and often containerized, infrastructures - and where operations itself is increasingly another "as a service" capability from the perspective of developers. How does the operations tool chest change? How does the required skill set differ? How are the interactions between operations and other IT and business organizations different from in the past? How can operations provide the confidence to the entire organization that this new pipeline is still delivering non-functional requirements such as regulatory compliance and a secure and certified operating environment? How does operations safely consume vendor and upstream dependencies while meeting developer desires for the latest and greatest? Operations is more important than ever for a business to derive value from its IT organization. But the roles and the goals of operations are significantly different than they were historically.]]>
As DevOps practices have been put into wide use, it's become evident that developers and operations aren't merging to become one discipline. Nor is operations simply going away. Rather, DevOps is leading software development and operations - together with other practices such as security - to collaborate and coexist with less overhead and conflict than in the past. In his session at @DevOpsSummit at 19th Cloud Expo, Gordon Haff, Red Hat Technology Evangelist, will discuss what modern operational practices look like in a world in which applications are more loosely coupled, are developed using DevOps approaches, and are deployed on software-defined, and often containerized, infrastructures - and where operations itself is increasingly another "as a service" capability from the perspective of developers. How does the operations tool chest change? How does the required skill set differ? How are the interactions between operations and other IT and business organizations different from in the past? How can operations provide the confidence to the entire organization that this new pipeline is still delivering non-functional requirements such as regulatory compliance and a secure and certified operating environment? How does operations safely consume vendor and upstream dependencies while meeting developer desires for the latest and greatest? Operations is more important than ever for a business to derive value from its IT organization. But the roles and the goals of operations are significantly different than they were historically.]]> Tue, 08 Nov 2016 21:57:04 GMT /slideshow/optimizing-the-ops-in-devops/68429291 ghaff@slideshare.net(ghaff) Optimizing the Ops in DevOps ghaff As DevOps practices have been put into wide use, it's become evident that developers and operations aren't merging to become one discipline. Nor is operations simply going away. Rather, DevOps is leading software development and operations - together with other practices such as security - to collaborate and coexist with less overhead and conflict than in the past. In his session at @DevOpsSummit at 19th Cloud Expo, Gordon Haff, Red Hat Technology Evangelist, will discuss what modern operational practices look like in a world in which applications are more loosely coupled, are developed using DevOps approaches, and are deployed on software-defined, and often containerized, infrastructures - and where operations itself is increasingly another "as a service" capability from the perspective of developers. How does the operations tool chest change? How does the required skill set differ? How are the interactions between operations and other IT and business organizations different from in the past? How can operations provide the confidence to the entire organization that this new pipeline is still delivering non-functional requirements such as regulatory compliance and a secure and certified operating environment? How does operations safely consume vendor and upstream dependencies while meeting developer desires for the latest and greatest? Operations is more important than ever for a business to derive value from its IT organization. But the roles and the goals of operations are significantly different than they were historically. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/optimizingtheopsindevops-161108215704-thumbnail.jpg?width=120&height=120&fit=bounds" /> As DevOps practices have been put into wide use, it's become evident that developers and operations aren't merging to become one discipline. Nor is operations simply going away. Rather, DevOps is leading software development and operations - together with other practices such as security - to collaborate and coexist with less overhead and conflict than in the past. In his session at @DevOpsSummit at 19th Cloud Expo, Gordon Haff, Red Hat Technology Evangelist, will discuss what modern operational practices look like in a world in which applications are more loosely coupled, are developed using DevOps approaches, and are deployed on software-defined, and often containerized, infrastructures - and where operations itself is increasingly another "as a service" capability from the perspective of developers. How does the operations tool chest change? How does the required skill set differ? How are the interactions between operations and other IT and business organizations different from in the past? How can operations provide the confidence to the entire organization that this new pipeline is still delivering non-functional requirements such as regulatory compliance and a secure and certified operating environment? How does operations safely consume vendor and upstream dependencies while meeting developer desires for the latest and greatest? Operations is more important than ever for a business to derive value from its IT organization. But the roles and the goals of operations are significantly different than they were historically.

Optimizing the Ops in DevOps from Gordon Haff

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0 Containers: Don't Skeu Them Up. Use Microservices Instead. /slideshow/containers-dont-skeu-them-up-use-microservices-instead/64012942 containersdontskeu-160714054731
from LinuxCon Japan 2016 Skeuomorphism usually means retaining existing design cues in something new that doesn't actually need them. But the basic idea is far broader. For example, containers aren't legacy virtualization with a new spin. They're part and parcel of a new platform for cloud apps including containerized operating systems like Project Atomic, container packaging systems like Docker, container orchestration like Kubernetes and Mesos, DevOps continuous integration and deployment practices, microservices architectures, "cattle" workloads, software-defined everything, management across hybrid infrastructures, and pervasive open source. In this session, Red Hat's Gordon Haff and William Henry will discuss how containers can be most effectively deployed together with these new technologies and approaches -- including the resource management of large clusters with diverse workloads -- rather than mimicking legacy sever virtualization workflows and architectures.]]>
from LinuxCon Japan 2016 Skeuomorphism usually means retaining existing design cues in something new that doesn't actually need them. But the basic idea is far broader. For example, containers aren't legacy virtualization with a new spin. They're part and parcel of a new platform for cloud apps including containerized operating systems like Project Atomic, container packaging systems like Docker, container orchestration like Kubernetes and Mesos, DevOps continuous integration and deployment practices, microservices architectures, "cattle" workloads, software-defined everything, management across hybrid infrastructures, and pervasive open source. In this session, Red Hat's Gordon Haff and William Henry will discuss how containers can be most effectively deployed together with these new technologies and approaches -- including the resource management of large clusters with diverse workloads -- rather than mimicking legacy sever virtualization workflows and architectures.]]> Thu, 14 Jul 2016 05:47:31 GMT /slideshow/containers-dont-skeu-them-up-use-microservices-instead/64012942 ghaff@slideshare.net(ghaff) Containers: Don't Skeu Them Up. Use Microservices Instead. ghaff from LinuxCon Japan 2016 Skeuomorphism usually means retaining existing design cues in something new that doesn't actually need them. But the basic idea is far broader. For example, containers aren't legacy virtualization with a new spin. They're part and parcel of a new platform for cloud apps including containerized operating systems like Project Atomic, container packaging systems like Docker, container orchestration like Kubernetes and Mesos, DevOps continuous integration and deployment practices, microservices architectures, "cattle" workloads, software-defined everything, management across hybrid infrastructures, and pervasive open source. In this session, Red Hat's Gordon Haff and William Henry will discuss how containers can be most effectively deployed together with these new technologies and approaches -- including the resource management of large clusters with diverse workloads -- rather than mimicking legacy sever virtualization workflows and architectures. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/containersdontskeu-160714054731-thumbnail.jpg?width=120&height=120&fit=bounds" /> from LinuxCon Japan 2016 Skeuomorphism usually means retaining existing design cues in something new that doesn't actually need them. But the basic idea is far broader. For example, containers aren't legacy virtualization with a new spin. They're part and parcel of a new platform for cloud apps including containerized operating systems like Project Atomic, container packaging systems like Docker, container orchestration like Kubernetes and Mesos, DevOps continuous integration and deployment practices, microservices architectures, "cattle" workloads, software-defined everything, management across hybrid infrastructures, and pervasive open source. In this session, Red Hat's Gordon Haff and William Henry will discuss how containers can be most effectively deployed together with these new technologies and approaches -- including the resource management of large clusters with diverse workloads -- rather than mimicking legacy sever virtualization workflows and architectures.

Containers: Don't Skeu Them Up. Use Microservices Instead. from Gordon Haff

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