ºÝºÝߣshows by User: jkowall / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: jkowall / Fri, 20 Oct 2017 19:56:33 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: jkowall #Fstoco - Monitoring and Instrumentation, why Tracing is Key /slideshow/fstoco-monitoring-and-instrumentation-why-tracing-is-key/81030528 fstoco-monitoringandinstrumentationstrategiestipsandbestpractices-171020195633
Fundamentals are key to understanding advanced use cases and techniques. Nothing could be more valid when it comes to collecting data about complex systems. Most of our tooling is focused on a component level view, when we are building increasingly complex and distributed systems to support today’s application requirements. This requires instrumentation and transaction visibility. Monitoring is complicated, and in most organizations consists of far too many tools owned by many teams. Investigate what instrumentation is most scalable and effective across languages, commonly used APIs, and possibilities for capturing data from common languages like Java, .NET, and PHP. Cover browser and mobile instrumentation techniques. Get tips on which APIs to use, what open source tools and frameworks can be leveraged, and how to coordinate and communicate requirements across your organization. New instrumentation techniques in open source are also facilitating transaction tracing which is key to problem isolation in distributed systems. Then we will go deep into transaction tracing using commercial and open source tools. There are also a lot of emerging standards which will be discussed. Finally we’ll talk about logging and correlating logs to transaction traces for the best of both world. Key takeaways: o What is instrumentation, and what to instrument, collect, and store o How this can be accomplished on common software stacks o How to work with application owners to collect business data o How transaction tracing and correlation works in open source and commercial monitoring tools]]>

Fundamentals are key to understanding advanced use cases and techniques. Nothing could be more valid when it comes to collecting data about complex systems. Most of our tooling is focused on a component level view, when we are building increasingly complex and distributed systems to support today’s application requirements. This requires instrumentation and transaction visibility. Monitoring is complicated, and in most organizations consists of far too many tools owned by many teams. Investigate what instrumentation is most scalable and effective across languages, commonly used APIs, and possibilities for capturing data from common languages like Java, .NET, and PHP. Cover browser and mobile instrumentation techniques. Get tips on which APIs to use, what open source tools and frameworks can be leveraged, and how to coordinate and communicate requirements across your organization. New instrumentation techniques in open source are also facilitating transaction tracing which is key to problem isolation in distributed systems. Then we will go deep into transaction tracing using commercial and open source tools. There are also a lot of emerging standards which will be discussed. Finally we’ll talk about logging and correlating logs to transaction traces for the best of both world. Key takeaways: o What is instrumentation, and what to instrument, collect, and store o How this can be accomplished on common software stacks o How to work with application owners to collect business data o How transaction tracing and correlation works in open source and commercial monitoring tools]]>
Fri, 20 Oct 2017 19:56:33 GMT /slideshow/fstoco-monitoring-and-instrumentation-why-tracing-is-key/81030528 jkowall@slideshare.net(jkowall) #Fstoco - Monitoring and Instrumentation, why Tracing is Key jkowall Fundamentals are key to understanding advanced use cases and techniques. Nothing could be more valid when it comes to collecting data about complex systems. Most of our tooling is focused on a component level view, when we are building increasingly complex and distributed systems to support today’s application requirements. This requires instrumentation and transaction visibility. Monitoring is complicated, and in most organizations consists of far too many tools owned by many teams. Investigate what instrumentation is most scalable and effective across languages, commonly used APIs, and possibilities for capturing data from common languages like Java, .NET, and PHP. Cover browser and mobile instrumentation techniques. Get tips on which APIs to use, what open source tools and frameworks can be leveraged, and how to coordinate and communicate requirements across your organization. New instrumentation techniques in open source are also facilitating transaction tracing which is key to problem isolation in distributed systems. Then we will go deep into transaction tracing using commercial and open source tools. There are also a lot of emerging standards which will be discussed. Finally we’ll talk about logging and correlating logs to transaction traces for the best of both world. Key takeaways: o What is instrumentation, and what to instrument, collect, and store o How this can be accomplished on common software stacks o How to work with application owners to collect business data o How transaction tracing and correlation works in open source and commercial monitoring tools <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fstoco-monitoringandinstrumentationstrategiestipsandbestpractices-171020195633-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Fundamentals are key to understanding advanced use cases and techniques. Nothing could be more valid when it comes to collecting data about complex systems. Most of our tooling is focused on a component level view, when we are building increasingly complex and distributed systems to support today’s application requirements. This requires instrumentation and transaction visibility. Monitoring is complicated, and in most organizations consists of far too many tools owned by many teams. Investigate what instrumentation is most scalable and effective across languages, commonly used APIs, and possibilities for capturing data from common languages like Java, .NET, and PHP. Cover browser and mobile instrumentation techniques. Get tips on which APIs to use, what open source tools and frameworks can be leveraged, and how to coordinate and communicate requirements across your organization. New instrumentation techniques in open source are also facilitating transaction tracing which is key to problem isolation in distributed systems. Then we will go deep into transaction tracing using commercial and open source tools. There are also a lot of emerging standards which will be discussed. Finally we’ll talk about logging and correlating logs to transaction traces for the best of both world. Key takeaways: o What is instrumentation, and what to instrument, collect, and store o How this can be accomplished on common software stacks o How to work with application owners to collect business data o How transaction tracing and correlation works in open source and commercial monitoring tools
#Fstoco - Monitoring and Instrumentation, why Tracing is Key from Jonah Kowall
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Building DevOps in the enterprise: Transforming challenges into organizational opportunities /slideshow/building-devops-in-the-enterprise-transforming-challenges-into-organizational-opportunities/76388438 appdbuildingdevopsenterprisetransformingchallengesv2-170526174947
In the second webinar of this multi-part series, Building DevOps in the Enterprise, Jonah Kowall, VP of Market Development and Insights at AppDynamics, will present his thoughts and opinions on the current and future state of DevOps. Join Jonah as he explores best practices, concepts, and ideas to enable your enterprise DevOps. You’ll also learn about team management areas that are key for success, like developing ownership, trust, accountability, and how that culture is managed at scale while preserving team autonomy. Key takeaways: Organizational patterns: How to manage teams and foster culture to scale Legacy problems enterprises face: How to work faster despite legacy applications Microservices — Peak Hype: Examine the cycle on this hot trend, balanced with a reality check and raised expectations The Struggle of Bimodal IT: Which apps work best in a lower, yet more predictable and stable mode versus those which need fast iteration and experimentation API-Driven Architectures and Microservices: Learn to solve common DevOps challenges​]]>

In the second webinar of this multi-part series, Building DevOps in the Enterprise, Jonah Kowall, VP of Market Development and Insights at AppDynamics, will present his thoughts and opinions on the current and future state of DevOps. Join Jonah as he explores best practices, concepts, and ideas to enable your enterprise DevOps. You’ll also learn about team management areas that are key for success, like developing ownership, trust, accountability, and how that culture is managed at scale while preserving team autonomy. Key takeaways: Organizational patterns: How to manage teams and foster culture to scale Legacy problems enterprises face: How to work faster despite legacy applications Microservices — Peak Hype: Examine the cycle on this hot trend, balanced with a reality check and raised expectations The Struggle of Bimodal IT: Which apps work best in a lower, yet more predictable and stable mode versus those which need fast iteration and experimentation API-Driven Architectures and Microservices: Learn to solve common DevOps challenges​]]>
Fri, 26 May 2017 17:49:47 GMT /slideshow/building-devops-in-the-enterprise-transforming-challenges-into-organizational-opportunities/76388438 jkowall@slideshare.net(jkowall) Building DevOps in the enterprise: Transforming challenges into organizational opportunities jkowall In the second webinar of this multi-part series, Building DevOps in the Enterprise, Jonah Kowall, VP of Market Development and Insights at AppDynamics, will present his thoughts and opinions on the current and future state of DevOps. Join Jonah as he explores best practices, concepts, and ideas to enable your enterprise DevOps. You’ll also learn about team management areas that are key for success, like developing ownership, trust, accountability, and how that culture is managed at scale while preserving team autonomy. Key takeaways: Organizational patterns: How to manage teams and foster culture to scale Legacy problems enterprises face: How to work faster despite legacy applications Microservices — Peak Hype: Examine the cycle on this hot trend, balanced with a reality check and raised expectations The Struggle of Bimodal IT: Which apps work best in a lower, yet more predictable and stable mode versus those which need fast iteration and experimentation API-Driven Architectures and Microservices: Learn to solve common DevOps challenges​ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/appdbuildingdevopsenterprisetransformingchallengesv2-170526174947-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In the second webinar of this multi-part series, Building DevOps in the Enterprise, Jonah Kowall, VP of Market Development and Insights at AppDynamics, will present his thoughts and opinions on the current and future state of DevOps. Join Jonah as he explores best practices, concepts, and ideas to enable your enterprise DevOps. You’ll also learn about team management areas that are key for success, like developing ownership, trust, accountability, and how that culture is managed at scale while preserving team autonomy. Key takeaways: Organizational patterns: How to manage teams and foster culture to scale Legacy problems enterprises face: How to work faster despite legacy applications Microservices — Peak Hype: Examine the cycle on this hot trend, balanced with a reality check and raised expectations The Struggle of Bimodal IT: Which apps work best in a lower, yet more predictable and stable mode versus those which need fast iteration and experimentation API-Driven Architectures and Microservices: Learn to solve common DevOps challenges​
Building DevOps in the enterprise: Transforming challenges into organizational opportunities from Jonah Kowall
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Uxdevsummit - Microservices the modern it stack- trends of tomorrow /slideshow/uxdevsummit-microservices-the-modern-it-stack-trends-of-tomorrow/71765974 uxdevsummit-microservicesthemodernitstack-trendsoftomorrow-170204221038
Current trends in software development such as Microservices, Containers, and Orchestration. Look into the future of IoT, AR/VR, and voice interfaces as well.]]>

Current trends in software development such as Microservices, Containers, and Orchestration. Look into the future of IoT, AR/VR, and voice interfaces as well.]]>
Sat, 04 Feb 2017 22:10:38 GMT /slideshow/uxdevsummit-microservices-the-modern-it-stack-trends-of-tomorrow/71765974 jkowall@slideshare.net(jkowall) Uxdevsummit - Microservices the modern it stack- trends of tomorrow jkowall Current trends in software development such as Microservices, Containers, and Orchestration. Look into the future of IoT, AR/VR, and voice interfaces as well. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/uxdevsummit-microservicesthemodernitstack-trendsoftomorrow-170204221038-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Current trends in software development such as Microservices, Containers, and Orchestration. Look into the future of IoT, AR/VR, and voice interfaces as well.
Uxdevsummit - Microservices the modern it stack- trends of tomorrow from Jonah Kowall
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Uxdevsummit - Best practices for instrumentation /slideshow/uxdevsummit-best-practices-for-instrumentation/71765971 uxdevsummit-bestpracticesforinstrumentation-170204221023
Deep dive into what Instrumentation is (monitoring), and the different ways to extract data from software applications such as those written in Java, PHP, Python, .NET, node.js, browser, and mobile devices.]]>

Deep dive into what Instrumentation is (monitoring), and the different ways to extract data from software applications such as those written in Java, PHP, Python, .NET, node.js, browser, and mobile devices.]]>
Sat, 04 Feb 2017 22:10:23 GMT /slideshow/uxdevsummit-best-practices-for-instrumentation/71765971 jkowall@slideshare.net(jkowall) Uxdevsummit - Best practices for instrumentation jkowall Deep dive into what Instrumentation is (monitoring), and the different ways to extract data from software applications such as those written in Java, PHP, Python, .NET, node.js, browser, and mobile devices. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/uxdevsummit-bestpracticesforinstrumentation-170204221023-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Deep dive into what Instrumentation is (monitoring), and the different ways to extract data from software applications such as those written in Java, PHP, Python, .NET, node.js, browser, and mobile devices.
Uxdevsummit - Best practices for instrumentation from Jonah Kowall
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Microservices the modern it stack trends of tomorrow /slideshow/microservices-the-modern-it-stack-trends-of-tomorrow/71566875 expeditors-microservicesthemodernitstack-trendsoftomorrow-170131014127
Latest talk on trends, also includes a little AppDynamics description here. This was actually requested by the conference organizer in Seattle.]]>

Latest talk on trends, also includes a little AppDynamics description here. This was actually requested by the conference organizer in Seattle.]]>
Tue, 31 Jan 2017 01:41:27 GMT /slideshow/microservices-the-modern-it-stack-trends-of-tomorrow/71566875 jkowall@slideshare.net(jkowall) Microservices the modern it stack trends of tomorrow jkowall Latest talk on trends, also includes a little AppDynamics description here. This was actually requested by the conference organizer in Seattle. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/expeditors-microservicesthemodernitstack-trendsoftomorrow-170131014127-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Latest talk on trends, also includes a little AppDynamics description here. This was actually requested by the conference organizer in Seattle.
Microservices the modern it stack trends of tomorrow from Jonah Kowall
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The differing ways to monitor and instrument /slideshow/the-differing-ways-to-monitor-and-instrument-64058626/64058626 thedifferingwaystomonitorandinstrument-160715124903
FullStack London July 15th, 2016 Monitoring is complicated, and in most organizations consists of far too many tools owned by many teams. These tools consist of monitoring tools each looking at a component myopically. These tools metrics and logs from devices and software emitting them. Increasingly modern companies are creating their own instrumentation, but there is a large base of generic instrumentation of software. Fixing monitoring issues requires people, process, and technology. In this talk we will cover many common issues seen in the real world. For example decisions on what should be monitored or collected from a technology and a business perspective. This requires process and coordination. We will investigate what instrumentation is most scalable and effective across languages this includes the commonly used APIs and possibilities to capture data from common languages like Java, .NET and PHP, but we’ll also go into methods which work with Python, Node.js, and golang. We will cover browser and mobile instrumentation techniques. How these are done? which APIs are being used? What open source tools and frameworks can be leveraged? Most importantly how to coordinate and communicate requirements across your organization. Attendees of this session will walk away with a clear understanding of: What is instrumentation, and what do I instrument, collect, and store? The understanding of overhead and how this can be accomplished on common software stacks? How to work with application owners to collect business data. How correlation works in custom open source or packaged monitoring tools. ]]>

FullStack London July 15th, 2016 Monitoring is complicated, and in most organizations consists of far too many tools owned by many teams. These tools consist of monitoring tools each looking at a component myopically. These tools metrics and logs from devices and software emitting them. Increasingly modern companies are creating their own instrumentation, but there is a large base of generic instrumentation of software. Fixing monitoring issues requires people, process, and technology. In this talk we will cover many common issues seen in the real world. For example decisions on what should be monitored or collected from a technology and a business perspective. This requires process and coordination. We will investigate what instrumentation is most scalable and effective across languages this includes the commonly used APIs and possibilities to capture data from common languages like Java, .NET and PHP, but we’ll also go into methods which work with Python, Node.js, and golang. We will cover browser and mobile instrumentation techniques. How these are done? which APIs are being used? What open source tools and frameworks can be leveraged? Most importantly how to coordinate and communicate requirements across your organization. Attendees of this session will walk away with a clear understanding of: What is instrumentation, and what do I instrument, collect, and store? The understanding of overhead and how this can be accomplished on common software stacks? How to work with application owners to collect business data. How correlation works in custom open source or packaged monitoring tools. ]]>
Fri, 15 Jul 2016 12:49:03 GMT /slideshow/the-differing-ways-to-monitor-and-instrument-64058626/64058626 jkowall@slideshare.net(jkowall) The differing ways to monitor and instrument jkowall FullStack London July 15th, 2016 Monitoring is complicated, and in most organizations consists of far too many tools owned by many teams. These tools consist of monitoring tools each looking at a component myopically. These tools metrics and logs from devices and software emitting them. Increasingly modern companies are creating their own instrumentation, but there is a large base of generic instrumentation of software. Fixing monitoring issues requires people, process, and technology. In this talk we will cover many common issues seen in the real world. For example decisions on what should be monitored or collected from a technology and a business perspective. This requires process and coordination. We will investigate what instrumentation is most scalable and effective across languages this includes the commonly used APIs and possibilities to capture data from common languages like Java, .NET and PHP, but we’ll also go into methods which work with Python, Node.js, and golang. We will cover browser and mobile instrumentation techniques. How these are done? which APIs are being used? What open source tools and frameworks can be leveraged? Most importantly how to coordinate and communicate requirements across your organization. Attendees of this session will walk away with a clear understanding of: What is instrumentation, and what do I instrument, collect, and store? The understanding of overhead and how this can be accomplished on common software stacks? How to work with application owners to collect business data. How correlation works in custom open source or packaged monitoring tools. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thedifferingwaystomonitorandinstrument-160715124903-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> FullStack London July 15th, 2016 Monitoring is complicated, and in most organizations consists of far too many tools owned by many teams. These tools consist of monitoring tools each looking at a component myopically. These tools metrics and logs from devices and software emitting them. Increasingly modern companies are creating their own instrumentation, but there is a large base of generic instrumentation of software. Fixing monitoring issues requires people, process, and technology. In this talk we will cover many common issues seen in the real world. For example decisions on what should be monitored or collected from a technology and a business perspective. This requires process and coordination. We will investigate what instrumentation is most scalable and effective across languages this includes the commonly used APIs and possibilities to capture data from common languages like Java, .NET and PHP, but we’ll also go into methods which work with Python, Node.js, and golang. We will cover browser and mobile instrumentation techniques. How these are done? which APIs are being used? What open source tools and frameworks can be leveraged? Most importantly how to coordinate and communicate requirements across your organization. Attendees of this session will walk away with a clear understanding of: What is instrumentation, and what do I instrument, collect, and store? The understanding of overhead and how this can be accomplished on common software stacks? How to work with application owners to collect business data. How correlation works in custom open source or packaged monitoring tools.
The differing ways to monitor and instrument from Jonah Kowall
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Efficiency in the connected factory /slideshow/efficiency-in-the-connected-factory/60966042 efficiencyintheconnectedfactory-160415165306
This was a talk I presented at the IoT North America conference outside of Chicago in April 2016. It goes quite deep into the systems in use and the challenges of today's digital businesses, which must focus on the customer journey from the order through the delivery and even post-delivery of goods.]]>

This was a talk I presented at the IoT North America conference outside of Chicago in April 2016. It goes quite deep into the systems in use and the challenges of today's digital businesses, which must focus on the customer journey from the order through the delivery and even post-delivery of goods.]]>
Fri, 15 Apr 2016 16:53:06 GMT /slideshow/efficiency-in-the-connected-factory/60966042 jkowall@slideshare.net(jkowall) Efficiency in the connected factory jkowall This was a talk I presented at the IoT North America conference outside of Chicago in April 2016. It goes quite deep into the systems in use and the challenges of today's digital businesses, which must focus on the customer journey from the order through the delivery and even post-delivery of goods. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/efficiencyintheconnectedfactory-160415165306-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This was a talk I presented at the IoT North America conference outside of Chicago in April 2016. It goes quite deep into the systems in use and the challenges of today&#39;s digital businesses, which must focus on the customer journey from the order through the delivery and even post-delivery of goods.
Efficiency in the connected factory from Jonah Kowall
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The Business Justification for APM /slideshow/the-business-justification-for-apm/55763186 thebusinessjustificationforapm-v3-151203013658-lva1-app6891
Keynote presentation from CMG Conference explaining the challenges in management and now monitoring and business visibility provided by modern APM tools is critical to business execution]]>

Keynote presentation from CMG Conference explaining the challenges in management and now monitoring and business visibility provided by modern APM tools is critical to business execution]]>
Thu, 03 Dec 2015 01:36:58 GMT /slideshow/the-business-justification-for-apm/55763186 jkowall@slideshare.net(jkowall) The Business Justification for APM jkowall Keynote presentation from CMG Conference explaining the challenges in management and now monitoring and business visibility provided by modern APM tools is critical to business execution <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thebusinessjustificationforapm-v3-151203013658-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Keynote presentation from CMG Conference explaining the challenges in management and now monitoring and business visibility provided by modern APM tools is critical to business execution
The Business Justification for APM from Jonah Kowall
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Containers and microservices create new performance challenges kowall - app sphere 2015 /jkowall/containers-and-microservices-create-new-performance-challenges-kowall-app-sphere-2015 containersandmicroservicescreatenewperformancechallenges-kowall-appsphere2015-151203013530-lva1-app6892
AppSphere 2015 presentation on the challenges brought forth by Microservices and Containers such as Docker. Goes into OSS and commercial tools to manage availability and performance. ]]>

AppSphere 2015 presentation on the challenges brought forth by Microservices and Containers such as Docker. Goes into OSS and commercial tools to manage availability and performance. ]]>
Thu, 03 Dec 2015 01:35:30 GMT /jkowall/containers-and-microservices-create-new-performance-challenges-kowall-app-sphere-2015 jkowall@slideshare.net(jkowall) Containers and microservices create new performance challenges kowall - app sphere 2015 jkowall AppSphere 2015 presentation on the challenges brought forth by Microservices and Containers such as Docker. Goes into OSS and commercial tools to manage availability and performance. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/containersandmicroservicescreatenewperformancechallenges-kowall-appsphere2015-151203013530-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> AppSphere 2015 presentation on the challenges brought forth by Microservices and Containers such as Docker. Goes into OSS and commercial tools to manage availability and performance.
Containers and microservices create new performance challenges kowall - app sphere 2015 from Jonah Kowall
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DevOps monitoring: Feedback loops in enterprise environments /slideshow/devops-monitoring-feedback-loops-in-enterprise-environments/52025493 devopsmonitoringfeedbackloopsinenterpriseenvironments-150824233550-lva1-app6891
This presentation was given at TopConf Tallinn in May 2015. Title: Driving the DevOps feedback loop in the Enterprise Description (brief overview for marketing purposes, max. length 400 characters-about 65 words): DevOps requires feedback loops backed by consistent data, within enterprises many layers of tools make visibility a challenge. This session outlines modernizing monitoring and providing the right data collection capabilities to support agile application operations. This session will outline the use of open source and commercial software solutions which fit startups to the enterprise. Abstract (Longer, more detailed description (3-6 paragraphs, bullet points welcome) of your presentation to help the program committee understand what you will cover. Please keep in mind that if your proposal is chosen, this abstract will also appear on the website to help conference attendees decide if it's right for them.): Enterprises do not have the benefit of starting from scratch, they must implement DevOps in an existing environment, often managing heritage investments along with fast moving projects. The monitoring tools unfortunately fall into the same category. These complex, dated, and costly monitoring tools don’t meet today’s needs in providing the visibility required for agile development that leverage continuous delivery and DevOps. Not only are the tools an issue, but the visibility and approaches are also problematic. The use of open source tools has been the de facto approach for DevOps, but this approach comes with it’s own set of challenges in terms of managing a complex stack of tools with varying quality of support/community. The move to a metrics-driven feedback loop enables teams to act fast at any stage of the product lifecycle. We will outline common technology stacks and approaches using graphite, statsd, and collectd along with nagios, munin, and other system monitoring tools. We will also outline commercial solutions, and how these tools tend to fall into silos as well. Monitoring must be reformed with new platforms and technologies, fitting specific design patterns which meet the needs of DevOps teams, these will be outlined and explained from a requirements perspective, providing a roadmap for how to apply these learnings inside your company. Join this session to take back an evolved approach to unified monitoring and how you can get your company to be metrics driven Attendees of this session will walk away with a clear understanding of: Understanding today’s tooling limitations Open source tool sprawl issues Fundamental patterns of monitoring How these will be solved in the future ]]>

This presentation was given at TopConf Tallinn in May 2015. Title: Driving the DevOps feedback loop in the Enterprise Description (brief overview for marketing purposes, max. length 400 characters-about 65 words): DevOps requires feedback loops backed by consistent data, within enterprises many layers of tools make visibility a challenge. This session outlines modernizing monitoring and providing the right data collection capabilities to support agile application operations. This session will outline the use of open source and commercial software solutions which fit startups to the enterprise. Abstract (Longer, more detailed description (3-6 paragraphs, bullet points welcome) of your presentation to help the program committee understand what you will cover. Please keep in mind that if your proposal is chosen, this abstract will also appear on the website to help conference attendees decide if it's right for them.): Enterprises do not have the benefit of starting from scratch, they must implement DevOps in an existing environment, often managing heritage investments along with fast moving projects. The monitoring tools unfortunately fall into the same category. These complex, dated, and costly monitoring tools don’t meet today’s needs in providing the visibility required for agile development that leverage continuous delivery and DevOps. Not only are the tools an issue, but the visibility and approaches are also problematic. The use of open source tools has been the de facto approach for DevOps, but this approach comes with it’s own set of challenges in terms of managing a complex stack of tools with varying quality of support/community. The move to a metrics-driven feedback loop enables teams to act fast at any stage of the product lifecycle. We will outline common technology stacks and approaches using graphite, statsd, and collectd along with nagios, munin, and other system monitoring tools. We will also outline commercial solutions, and how these tools tend to fall into silos as well. Monitoring must be reformed with new platforms and technologies, fitting specific design patterns which meet the needs of DevOps teams, these will be outlined and explained from a requirements perspective, providing a roadmap for how to apply these learnings inside your company. Join this session to take back an evolved approach to unified monitoring and how you can get your company to be metrics driven Attendees of this session will walk away with a clear understanding of: Understanding today’s tooling limitations Open source tool sprawl issues Fundamental patterns of monitoring How these will be solved in the future ]]>
Mon, 24 Aug 2015 23:35:50 GMT /slideshow/devops-monitoring-feedback-loops-in-enterprise-environments/52025493 jkowall@slideshare.net(jkowall) DevOps monitoring: Feedback loops in enterprise environments jkowall This presentation was given at TopConf Tallinn in May 2015. Title: Driving the DevOps feedback loop in the Enterprise Description (brief overview for marketing purposes, max. length 400 characters-about 65 words): DevOps requires feedback loops backed by consistent data, within enterprises many layers of tools make visibility a challenge. This session outlines modernizing monitoring and providing the right data collection capabilities to support agile application operations. This session will outline the use of open source and commercial software solutions which fit startups to the enterprise. Abstract (Longer, more detailed description (3-6 paragraphs, bullet points welcome) of your presentation to help the program committee understand what you will cover. Please keep in mind that if your proposal is chosen, this abstract will also appear on the website to help conference attendees decide if it's right for them.): Enterprises do not have the benefit of starting from scratch, they must implement DevOps in an existing environment, often managing heritage investments along with fast moving projects. The monitoring tools unfortunately fall into the same category. These complex, dated, and costly monitoring tools don’t meet today’s needs in providing the visibility required for agile development that leverage continuous delivery and DevOps. Not only are the tools an issue, but the visibility and approaches are also problematic. The use of open source tools has been the de facto approach for DevOps, but this approach comes with it’s own set of challenges in terms of managing a complex stack of tools with varying quality of support/community. The move to a metrics-driven feedback loop enables teams to act fast at any stage of the product lifecycle. We will outline common technology stacks and approaches using graphite, statsd, and collectd along with nagios, munin, and other system monitoring tools. We will also outline commercial solutions, and how these tools tend to fall into silos as well. Monitoring must be reformed with new platforms and technologies, fitting specific design patterns which meet the needs of DevOps teams, these will be outlined and explained from a requirements perspective, providing a roadmap for how to apply these learnings inside your company. Join this session to take back an evolved approach to unified monitoring and how you can get your company to be metrics driven Attendees of this session will walk away with a clear understanding of: Understanding today’s tooling limitations Open source tool sprawl issues Fundamental patterns of monitoring How these will be solved in the future <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/devopsmonitoringfeedbackloopsinenterpriseenvironments-150824233550-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This presentation was given at TopConf Tallinn in May 2015. Title: Driving the DevOps feedback loop in the Enterprise Description (brief overview for marketing purposes, max. length 400 characters-about 65 words): DevOps requires feedback loops backed by consistent data, within enterprises many layers of tools make visibility a challenge. This session outlines modernizing monitoring and providing the right data collection capabilities to support agile application operations. This session will outline the use of open source and commercial software solutions which fit startups to the enterprise. Abstract (Longer, more detailed description (3-6 paragraphs, bullet points welcome) of your presentation to help the program committee understand what you will cover. Please keep in mind that if your proposal is chosen, this abstract will also appear on the website to help conference attendees decide if it&#39;s right for them.): Enterprises do not have the benefit of starting from scratch, they must implement DevOps in an existing environment, often managing heritage investments along with fast moving projects. The monitoring tools unfortunately fall into the same category. These complex, dated, and costly monitoring tools don’t meet today’s needs in providing the visibility required for agile development that leverage continuous delivery and DevOps. Not only are the tools an issue, but the visibility and approaches are also problematic. The use of open source tools has been the de facto approach for DevOps, but this approach comes with it’s own set of challenges in terms of managing a complex stack of tools with varying quality of support/community. The move to a metrics-driven feedback loop enables teams to act fast at any stage of the product lifecycle. We will outline common technology stacks and approaches using graphite, statsd, and collectd along with nagios, munin, and other system monitoring tools. We will also outline commercial solutions, and how these tools tend to fall into silos as well. Monitoring must be reformed with new platforms and technologies, fitting specific design patterns which meet the needs of DevOps teams, these will be outlined and explained from a requirements perspective, providing a roadmap for how to apply these learnings inside your company. Join this session to take back an evolved approach to unified monitoring and how you can get your company to be metrics driven Attendees of this session will walk away with a clear understanding of: Understanding today’s tooling limitations Open source tool sprawl issues Fundamental patterns of monitoring How these will be solved in the future
DevOps monitoring: Feedback loops in enterprise environments from Jonah Kowall
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TopConf : DevOps Monitoring: Feedback Loops in Enterprise Environments /slideshow/topconf-devops-monitoring-feedback-loops-in-enterprise-environments/48605538 devopsmonitoringfeedbackloopsinenterpriseenvironments-150526121225-lva1-app6891
Enterprises do not have the benefit of starting from scratch, they must implement DevOps in an existing environment, often managing heritage investments along with fast moving projects. The monitoring tools unfortunately fall into the same category. These complex, dated, and costly monitoring tools don’t meet today’s needs in providing the visibility required for agile development that leverage continuous delivery and DevOps. Not only are the tools an issue, but the visibility and approaches are also problematic. The use of open source tools has been the de facto approach for DevOps, but this approach comes with it’s own set of challenges in terms of managing a complex stack of tools with varying quality of support/community. The move to a metrics-driven feedback loop enables teams to act fast at any stage of the product lifecycle. We will outline common technology stacks and approaches using graphite, statsd, and collectd along with nagios, munin, and other system monitoring tools. We will also outline commercial solutions, and how these tools tend to fall into silos as well. Monitoring must be reformed with new platforms and technologies, fitting specific design patterns which meet the needs of DevOps teams, these will be outlined and explained from a requirements perspective, providing a roadmap for how to apply these learnings inside your company. Join this session to take back an evolved approach to unified monitoring and how you can get your company to be metrics driven Attendees of this session will walk away with a clear understanding of: Understanding today’s tooling limitations Open source tool sprawl issues Fundamental patterns of monitoring How these will be solved in the future]]>

Enterprises do not have the benefit of starting from scratch, they must implement DevOps in an existing environment, often managing heritage investments along with fast moving projects. The monitoring tools unfortunately fall into the same category. These complex, dated, and costly monitoring tools don’t meet today’s needs in providing the visibility required for agile development that leverage continuous delivery and DevOps. Not only are the tools an issue, but the visibility and approaches are also problematic. The use of open source tools has been the de facto approach for DevOps, but this approach comes with it’s own set of challenges in terms of managing a complex stack of tools with varying quality of support/community. The move to a metrics-driven feedback loop enables teams to act fast at any stage of the product lifecycle. We will outline common technology stacks and approaches using graphite, statsd, and collectd along with nagios, munin, and other system monitoring tools. We will also outline commercial solutions, and how these tools tend to fall into silos as well. Monitoring must be reformed with new platforms and technologies, fitting specific design patterns which meet the needs of DevOps teams, these will be outlined and explained from a requirements perspective, providing a roadmap for how to apply these learnings inside your company. Join this session to take back an evolved approach to unified monitoring and how you can get your company to be metrics driven Attendees of this session will walk away with a clear understanding of: Understanding today’s tooling limitations Open source tool sprawl issues Fundamental patterns of monitoring How these will be solved in the future]]>
Tue, 26 May 2015 12:12:25 GMT /slideshow/topconf-devops-monitoring-feedback-loops-in-enterprise-environments/48605538 jkowall@slideshare.net(jkowall) TopConf : DevOps Monitoring: Feedback Loops in Enterprise Environments jkowall Enterprises do not have the benefit of starting from scratch, they must implement DevOps in an existing environment, often managing heritage investments along with fast moving projects. The monitoring tools unfortunately fall into the same category. These complex, dated, and costly monitoring tools don’t meet today’s needs in providing the visibility required for agile development that leverage continuous delivery and DevOps. Not only are the tools an issue, but the visibility and approaches are also problematic. The use of open source tools has been the de facto approach for DevOps, but this approach comes with it’s own set of challenges in terms of managing a complex stack of tools with varying quality of support/community. The move to a metrics-driven feedback loop enables teams to act fast at any stage of the product lifecycle. We will outline common technology stacks and approaches using graphite, statsd, and collectd along with nagios, munin, and other system monitoring tools. We will also outline commercial solutions, and how these tools tend to fall into silos as well. Monitoring must be reformed with new platforms and technologies, fitting specific design patterns which meet the needs of DevOps teams, these will be outlined and explained from a requirements perspective, providing a roadmap for how to apply these learnings inside your company. Join this session to take back an evolved approach to unified monitoring and how you can get your company to be metrics driven Attendees of this session will walk away with a clear understanding of: Understanding today’s tooling limitations Open source tool sprawl issues Fundamental patterns of monitoring How these will be solved in the future <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/devopsmonitoringfeedbackloopsinenterpriseenvironments-150526121225-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Enterprises do not have the benefit of starting from scratch, they must implement DevOps in an existing environment, often managing heritage investments along with fast moving projects. The monitoring tools unfortunately fall into the same category. These complex, dated, and costly monitoring tools don’t meet today’s needs in providing the visibility required for agile development that leverage continuous delivery and DevOps. Not only are the tools an issue, but the visibility and approaches are also problematic. The use of open source tools has been the de facto approach for DevOps, but this approach comes with it’s own set of challenges in terms of managing a complex stack of tools with varying quality of support/community. The move to a metrics-driven feedback loop enables teams to act fast at any stage of the product lifecycle. We will outline common technology stacks and approaches using graphite, statsd, and collectd along with nagios, munin, and other system monitoring tools. We will also outline commercial solutions, and how these tools tend to fall into silos as well. Monitoring must be reformed with new platforms and technologies, fitting specific design patterns which meet the needs of DevOps teams, these will be outlined and explained from a requirements perspective, providing a roadmap for how to apply these learnings inside your company. Join this session to take back an evolved approach to unified monitoring and how you can get your company to be metrics driven Attendees of this session will walk away with a clear understanding of: Understanding today’s tooling limitations Open source tool sprawl issues Fundamental patterns of monitoring How these will be solved in the future
TopConf : DevOps Monitoring: Feedback Loops in Enterprise Environments from Jonah Kowall
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