際際滷shows by User: ToddFritz / http://www.slideshare.net/images/logo.gif 際際滷shows by User: ToddFritz / Fri, 24 Feb 2017 14:52:24 GMT 際際滷Share feed for 際際滷shows by User: ToddFritz Reactive Fast Data & the Data Lake with Akka, Kafka, Spark /slideshow/reactive-fast-data-the-data-lake-with-akka-kafka-spark/72543895 2017devnexusreactive-fast-data-and-data-lake-akka-kafka-spark-170224145224
Reactive Fast Data & the Data Lake with Akka, Kafka, Spark, Flink]]>
Reactive Fast Data & the Data Lake with Akka, Kafka, Spark, Flink]]> Fri, 24 Feb 2017 14:52:24 GMT /slideshow/reactive-fast-data-the-data-lake-with-akka-kafka-spark/72543895 ToddFritz@slideshare.net(ToddFritz) Reactive Fast Data & the Data Lake with Akka, Kafka, Spark ToddFritz Reactive Fast Data & the Data Lake with Akka, Kafka, Spark, Flink <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2017devnexusreactive-fast-data-and-data-lake-akka-kafka-spark-170224145224-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Reactive Fast Data &amp; the Data Lake with Akka, Kafka, Spark, Flink
Reactive Fast Data & the Data Lake with Akka, Kafka, Spark from Todd Fritz
]]> 2896 6 https://cdn.slidesharecdn.com/ss_thumbnails/2017devnexusreactive-fast-data-and-data-lake-akka-kafka-spark-170224145224-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Building Reactive Fast Data & the Data Lake with Akka, Kafka, Spark /slideshow/building-reactive-fast-data-the-data-lake-with-akka-kafka-spark/71121316 2017janajugfinal-170117230014
In this session, we will discuss: * reactive architecture tenets * distributed fast data streams * application and analytics focused Data Lake Enterprise level concerns and the importance of holistic governance, operational management, and a Metadata Lake will be conceptually investigated. The next level of detail will be to explore what a prospective architecture looks like at scale with Terabytes of ingestion per day, how scale puts pressure on an architecture, and how to be successful without losing data in a mission critical system via resilient, self-healing, scalable technologies. DevOps and application architecture concerns will be first-class themes throughout. Reactive principles and technology will be the second act of this talk. Kafka. Akka. Spark. Various streaming technologies (Kafka Streams, Akka Streams, Spark Streaming) will be reviewed to identify what they are best suited for. The fast data pipeline discussion will center around Kafka, Akka, and Apache Flink (Lightbend Fast Data platform). Well also walk through an exciting addition to the Akka family, Alpakka, which is a Camel equivalent for Enterprise Integration Patterns. The final act will be to dive into the Data Lake, from both an analytics and application development perspective. Technologies used to explain concepts will include Amazon and Hadoop. A Data Lake may service multiple analytics consumers with various views (and access levels) of data. It may also be a participant of various applications, perhaps by acting as a centralized source for reference data or common middleware (in turn feeding the analytics aspect). The concept of the Metadata Lake to apply structure, meaning and purpose will be an over-arching success factor for a Data Lake. The difference between the Data Lake and Metadata Lake is conceptually similar to a Halocline Various technologies (Iglu/Snowplow and more) will be discussed from a feature standpoint to flesh out the technology capabilities needed for Data Lake governance. ]]>
In this session, we will discuss: * reactive architecture tenets * distributed fast data streams * application and analytics focused Data Lake Enterprise level concerns and the importance of holistic governance, operational management, and a Metadata Lake will be conceptually investigated. The next level of detail will be to explore what a prospective architecture looks like at scale with Terabytes of ingestion per day, how scale puts pressure on an architecture, and how to be successful without losing data in a mission critical system via resilient, self-healing, scalable technologies. DevOps and application architecture concerns will be first-class themes throughout. Reactive principles and technology will be the second act of this talk. Kafka. Akka. Spark. Various streaming technologies (Kafka Streams, Akka Streams, Spark Streaming) will be reviewed to identify what they are best suited for. The fast data pipeline discussion will center around Kafka, Akka, and Apache Flink (Lightbend Fast Data platform). Well also walk through an exciting addition to the Akka family, Alpakka, which is a Camel equivalent for Enterprise Integration Patterns. The final act will be to dive into the Data Lake, from both an analytics and application development perspective. Technologies used to explain concepts will include Amazon and Hadoop. A Data Lake may service multiple analytics consumers with various views (and access levels) of data. It may also be a participant of various applications, perhaps by acting as a centralized source for reference data or common middleware (in turn feeding the analytics aspect). The concept of the Metadata Lake to apply structure, meaning and purpose will be an over-arching success factor for a Data Lake. The difference between the Data Lake and Metadata Lake is conceptually similar to a Halocline Various technologies (Iglu/Snowplow and more) will be discussed from a feature standpoint to flesh out the technology capabilities needed for Data Lake governance. ]]> Tue, 17 Jan 2017 23:00:14 GMT /slideshow/building-reactive-fast-data-the-data-lake-with-akka-kafka-spark/71121316 ToddFritz@slideshare.net(ToddFritz) Building Reactive Fast Data & the Data Lake with Akka, Kafka, Spark ToddFritz In this session, we will discuss: * reactive architecture tenets * distributed fast data streams * application and analytics focused Data Lake Enterprise level concerns and the importance of holistic governance, operational management, and a Metadata Lake will be conceptually investigated. The next level of detail will be to explore what a prospective architecture looks like at scale with Terabytes of ingestion per day, how scale puts pressure on an architecture, and how to be successful without losing data in a mission critical system via resilient, self-healing, scalable technologies. DevOps and application architecture concerns will be first-class themes throughout. Reactive principles and technology will be the second act of this talk. Kafka. Akka. Spark. Various streaming technologies (Kafka Streams, Akka Streams, Spark Streaming) will be reviewed to identify what they are best suited for. The fast data pipeline discussion will center around Kafka, Akka, and Apache Flink (Lightbend Fast Data platform). Well also walk through an exciting addition to the Akka family, Alpakka, which is a Camel equivalent for Enterprise Integration Patterns. The final act will be to dive into the Data Lake, from both an analytics and application development perspective. Technologies used to explain concepts will include Amazon and Hadoop. A Data Lake may service multiple analytics consumers with various views (and access levels) of data. It may also be a participant of various applications, perhaps by acting as a centralized source for reference data or common middleware (in turn feeding the analytics aspect). The concept of the Metadata Lake to apply structure, meaning and purpose will be an over-arching success factor for a Data Lake. The difference between the Data Lake and Metadata Lake is conceptually similar to a Halocline Various technologies (Iglu/Snowplow and more) will be discussed from a feature standpoint to flesh out the technology capabilities needed for Data Lake governance. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2017janajugfinal-170117230014-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this session, we will discuss: * reactive architecture tenets * distributed fast data streams * application and analytics focused Data Lake Enterprise level concerns and the importance of holistic governance, operational management, and a Metadata Lake will be conceptually investigated. The next level of detail will be to explore what a prospective architecture looks like at scale with Terabytes of ingestion per day, how scale puts pressure on an architecture, and how to be successful without losing data in a mission critical system via resilient, self-healing, scalable technologies. DevOps and application architecture concerns will be first-class themes throughout. Reactive principles and technology will be the second act of this talk. Kafka. Akka. Spark. Various streaming technologies (Kafka Streams, Akka Streams, Spark Streaming) will be reviewed to identify what they are best suited for. The fast data pipeline discussion will center around Kafka, Akka, and Apache Flink (Lightbend Fast Data platform). Well also walk through an exciting addition to the Akka family, Alpakka, which is a Camel equivalent for Enterprise Integration Patterns. The final act will be to dive into the Data Lake, from both an analytics and application development perspective. Technologies used to explain concepts will include Amazon and Hadoop. A Data Lake may service multiple analytics consumers with various views (and access levels) of data. It may also be a participant of various applications, perhaps by acting as a centralized source for reference data or common middleware (in turn feeding the analytics aspect). The concept of the Metadata Lake to apply structure, meaning and purpose will be an over-arching success factor for a Data Lake. The difference between the Data Lake and Metadata Lake is conceptually similar to a Halocline Various technologies (Iglu/Snowplow and more) will be discussed from a feature standpoint to flesh out the technology capabilities needed for Data Lake governance.
Building Reactive Fast Data & the Data Lake with Akka, Kafka, Spark from Todd Fritz
]]> 3487 4 https://cdn.slidesharecdn.com/ss_thumbnails/2017janajugfinal-170117230014-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 2015 03-11_todd-fritz_devnexus_2015 /ToddFritz/2015-0311toddfritzdevnexus2015 2015-03-11toddfritzdevnexus2015-150310202110-conversion-gate01
DevNexus 2015 Docker: containerizing a monolithic app into a microservice-based PaaS Convert a monolithic application into a microservice-based PaaS using Docker and related, containerization technologies. This will be the third presentation of a series of presentations that began greater than one year ago to evangelize the benefits of Docker. The scope of content spans from a development environment to a hybrid PaaS, and how Containerization is an enabler of architectural choice, innovation, scalability, and polyglot solutions. The basics of Docker will be examined including repositories, brief discussion about managing and monitoring Docker containers, service discovery, and security. New and emerging technologies will be a constant theme, particularly about microservices, in addition to the ongoing evolution of the market and what the future may bring. Common organizational issues (and tactical solutions) that may impede successful decomposition and migration of legacy monoliths will be discussed, including security, DevOps and refactoring. Hypothetical architectures will be described for building progressively more robust and complex applications and deployment models. The goal is to highlight the power, flexibility and scalability that containers enable. Examples will start simple, from a local development environment, that is a simple two container setup that encapsulate a database and application tier. Subsequent discussion will involve progressively more complex and robust deployments that include features such as service discovery, automatic load balancing, and abstractions to simplify linking of containers including service gateways. With the stopping point of a hybrid PaaS.]]>
DevNexus 2015 Docker: containerizing a monolithic app into a microservice-based PaaS Convert a monolithic application into a microservice-based PaaS using Docker and related, containerization technologies. This will be the third presentation of a series of presentations that began greater than one year ago to evangelize the benefits of Docker. The scope of content spans from a development environment to a hybrid PaaS, and how Containerization is an enabler of architectural choice, innovation, scalability, and polyglot solutions. The basics of Docker will be examined including repositories, brief discussion about managing and monitoring Docker containers, service discovery, and security. New and emerging technologies will be a constant theme, particularly about microservices, in addition to the ongoing evolution of the market and what the future may bring. Common organizational issues (and tactical solutions) that may impede successful decomposition and migration of legacy monoliths will be discussed, including security, DevOps and refactoring. Hypothetical architectures will be described for building progressively more robust and complex applications and deployment models. The goal is to highlight the power, flexibility and scalability that containers enable. Examples will start simple, from a local development environment, that is a simple two container setup that encapsulate a database and application tier. Subsequent discussion will involve progressively more complex and robust deployments that include features such as service discovery, automatic load balancing, and abstractions to simplify linking of containers including service gateways. With the stopping point of a hybrid PaaS.]]> Tue, 10 Mar 2015 20:21:09 GMT /ToddFritz/2015-0311toddfritzdevnexus2015 ToddFritz@slideshare.net(ToddFritz) 2015 03-11_todd-fritz_devnexus_2015 ToddFritz DevNexus 2015 Docker: containerizing a monolithic app into a microservice-based PaaS Convert a monolithic application into a microservice-based PaaS using Docker and related, containerization technologies. This will be the third presentation of a series of presentations that began greater than one year ago to evangelize the benefits of Docker. The scope of content spans from a development environment to a hybrid PaaS, and how Containerization is an enabler of architectural choice, innovation, scalability, and polyglot solutions. The basics of Docker will be examined including repositories, brief discussion about managing and monitoring Docker containers, service discovery, and security. New and emerging technologies will be a constant theme, particularly about microservices, in addition to the ongoing evolution of the market and what the future may bring. Common organizational issues (and tactical solutions) that may impede successful decomposition and migration of legacy monoliths will be discussed, including security, DevOps and refactoring. Hypothetical architectures will be described for building progressively more robust and complex applications and deployment models. The goal is to highlight the power, flexibility and scalability that containers enable. Examples will start simple, from a local development environment, that is a simple two container setup that encapsulate a database and application tier. Subsequent discussion will involve progressively more complex and robust deployments that include features such as service discovery, automatic load balancing, and abstractions to simplify linking of containers including service gateways. With the stopping point of a hybrid PaaS. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2015-03-11toddfritzdevnexus2015-150310202110-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> DevNexus 2015 Docker: containerizing a monolithic app into a microservice-based PaaS Convert a monolithic application into a microservice-based PaaS using Docker and related, containerization technologies. This will be the third presentation of a series of presentations that began greater than one year ago to evangelize the benefits of Docker. The scope of content spans from a development environment to a hybrid PaaS, and how Containerization is an enabler of architectural choice, innovation, scalability, and polyglot solutions. The basics of Docker will be examined including repositories, brief discussion about managing and monitoring Docker containers, service discovery, and security. New and emerging technologies will be a constant theme, particularly about microservices, in addition to the ongoing evolution of the market and what the future may bring. Common organizational issues (and tactical solutions) that may impede successful decomposition and migration of legacy monoliths will be discussed, including security, DevOps and refactoring. Hypothetical architectures will be described for building progressively more robust and complex applications and deployment models. The goal is to highlight the power, flexibility and scalability that containers enable. Examples will start simple, from a local development environment, that is a simple two container setup that encapsulate a database and application tier. Subsequent discussion will involve progressively more complex and robust deployments that include features such as service discovery, automatic load balancing, and abstractions to simplify linking of containers including service gateways. With the stopping point of a hybrid PaaS.
2015 03-11_todd-fritz_devnexus_2015 from Todd Fritz
]]> 2846 6 https://cdn.slidesharecdn.com/ss_thumbnails/2015-03-11toddfritzdevnexus2015-150310202110-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 2014, April 15, Atlanta Java Users Group /slideshow/2014-april-15-atlanta-java-users-group/33569678 20140415ajug-docker-140415153627-phpapp01
Server to Cloud convert a legacy platform to a micro-PaaS using Docker and related, containerization technologies Video: http://vimeo.com/94556976 The talk will begin with how to setup a local Docker development environment (Windows or Mac OSX) as Docker runs atop Linux. The basics of Docker will be examined including how to use image repositories, and a brief description of available UIs for managing Docker containers (Shipyard and DockerUI). Next, example applications will be built for progressively more robust use cases and deployments; to demonstrate the power, flexibility and scalability of Containerization with Docker. The first example will discuss a simple two container model to encapsulate a database and application layer, which will lead to demonstration and discussion about more robust deployments that include features such as service discovery, automatic load balancing, and abstractions to simplify linking of containers. The context of the talk with be how Containerization enables architectural choice, scalability, and polyglot environments. Docker and supporting technologies will be discussed to expose the multitude of supporting technologies within the ecosystem such as Flynn, Serf (makes or Vagrant), CoreOS, Deus, HAProxy and more. Technologies that may be employed within containers during the demonstration include, Java, Scala, Akka, Docker, vert.x or node.js, memcached, mysql, mongo.]]>
Server to Cloud convert a legacy platform to a micro-PaaS using Docker and related, containerization technologies Video: http://vimeo.com/94556976 The talk will begin with how to setup a local Docker development environment (Windows or Mac OSX) as Docker runs atop Linux. The basics of Docker will be examined including how to use image repositories, and a brief description of available UIs for managing Docker containers (Shipyard and DockerUI). Next, example applications will be built for progressively more robust use cases and deployments; to demonstrate the power, flexibility and scalability of Containerization with Docker. The first example will discuss a simple two container model to encapsulate a database and application layer, which will lead to demonstration and discussion about more robust deployments that include features such as service discovery, automatic load balancing, and abstractions to simplify linking of containers. The context of the talk with be how Containerization enables architectural choice, scalability, and polyglot environments. Docker and supporting technologies will be discussed to expose the multitude of supporting technologies within the ecosystem such as Flynn, Serf (makes or Vagrant), CoreOS, Deus, HAProxy and more. Technologies that may be employed within containers during the demonstration include, Java, Scala, Akka, Docker, vert.x or node.js, memcached, mysql, mongo.]]> Tue, 15 Apr 2014 15:36:27 GMT /slideshow/2014-april-15-atlanta-java-users-group/33569678 ToddFritz@slideshare.net(ToddFritz) 2014, April 15, Atlanta Java Users Group ToddFritz Server to Cloud convert a legacy platform to a micro-PaaS using Docker and related, containerization technologies Video: http://vimeo.com/94556976 The talk will begin with how to setup a local Docker development environment (Windows or Mac OSX) as Docker runs atop Linux. The basics of Docker will be examined including how to use image repositories, and a brief description of available UIs for managing Docker containers (Shipyard and DockerUI). Next, example applications will be built for progressively more robust use cases and deployments; to demonstrate the power, flexibility and scalability of Containerization with Docker. The first example will discuss a simple two container model to encapsulate a database and application layer, which will lead to demonstration and discussion about more robust deployments that include features such as service discovery, automatic load balancing, and abstractions to simplify linking of containers. The context of the talk with be how Containerization enables architectural choice, scalability, and polyglot environments. Docker and supporting technologies will be discussed to expose the multitude of supporting technologies within the ecosystem such as Flynn, Serf (makes or Vagrant), CoreOS, Deus, HAProxy and more. Technologies that may be employed within containers during the demonstration include, Java, Scala, Akka, Docker, vert.x or node.js, memcached, mysql, mongo. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20140415ajug-docker-140415153627-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Server to Cloud convert a legacy platform to a micro-PaaS using Docker and related, containerization technologies Video: http://vimeo.com/94556976 The talk will begin with how to setup a local Docker development environment (Windows or Mac OSX) as Docker runs atop Linux. The basics of Docker will be examined including how to use image repositories, and a brief description of available UIs for managing Docker containers (Shipyard and DockerUI). Next, example applications will be built for progressively more robust use cases and deployments; to demonstrate the power, flexibility and scalability of Containerization with Docker. The first example will discuss a simple two container model to encapsulate a database and application layer, which will lead to demonstration and discussion about more robust deployments that include features such as service discovery, automatic load balancing, and abstractions to simplify linking of containers. The context of the talk with be how Containerization enables architectural choice, scalability, and polyglot environments. Docker and supporting technologies will be discussed to expose the multitude of supporting technologies within the ecosystem such as Flynn, Serf (makes or Vagrant), CoreOS, Deus, HAProxy and more. Technologies that may be employed within containers during the demonstration include, Java, Scala, Akka, Docker, vert.x or node.js, memcached, mysql, mongo.
2014, April 15, Atlanta Java Users Group from Todd Fritz
]]> 2682 3 https://cdn.slidesharecdn.com/ss_thumbnails/20140415ajug-docker-140415153627-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 server to cloud: converting a legacy platform to an open source paas /slideshow/2014-04-03legacytocloud/33062703 20140403legacytocloud-140402212640-phpapp02
This session discusses the process to move legacy applications "into the cloud". It is intended for a diverse audience including developers, architects, and managers. We will discuss techniques, methodologies, and thought processes used to analyze, design, and execute a migration strategy and implementation plan -- from planning through rollout and operational. An important aspect of this is the necessity for technical staff to effectively communicate to mid-level management how these design decisions and strategies translate into cost, complexity and schedule. Commonly used migration strategies, cloud technologies, architecture options, and low level technologies will be discussed. The case will be made that investing in strategic refactoring and decomposition during the migration will reap the benefits of a modern, decoupled and simplified system. The end game being alignment and adoption of current best practices around PaaS, Saas, SOA, event-driven architectures, and message-oriented middleware, at scale in the cloud, to provide quantifiable business value. This talk will focus more on the big picture, at times delving into technical architectures and discussion of certain technologies and service providers. Use of Containers (Docker) is evangelized for decoupling and decomposing legacy systems.]]>
This session discusses the process to move legacy applications "into the cloud". It is intended for a diverse audience including developers, architects, and managers. We will discuss techniques, methodologies, and thought processes used to analyze, design, and execute a migration strategy and implementation plan -- from planning through rollout and operational. An important aspect of this is the necessity for technical staff to effectively communicate to mid-level management how these design decisions and strategies translate into cost, complexity and schedule. Commonly used migration strategies, cloud technologies, architecture options, and low level technologies will be discussed. The case will be made that investing in strategic refactoring and decomposition during the migration will reap the benefits of a modern, decoupled and simplified system. The end game being alignment and adoption of current best practices around PaaS, Saas, SOA, event-driven architectures, and message-oriented middleware, at scale in the cloud, to provide quantifiable business value. This talk will focus more on the big picture, at times delving into technical architectures and discussion of certain technologies and service providers. Use of Containers (Docker) is evangelized for decoupling and decomposing legacy systems.]]> Wed, 02 Apr 2014 21:26:40 GMT /slideshow/2014-04-03legacytocloud/33062703 ToddFritz@slideshare.net(ToddFritz) server to cloud: converting a legacy platform to an open source paas ToddFritz This session discusses the process to move legacy applications "into the cloud". It is intended for a diverse audience including developers, architects, and managers. We will discuss techniques, methodologies, and thought processes used to analyze, design, and execute a migration strategy and implementation plan -- from planning through rollout and operational. An important aspect of this is the necessity for technical staff to effectively communicate to mid-level management how these design decisions and strategies translate into cost, complexity and schedule. Commonly used migration strategies, cloud technologies, architecture options, and low level technologies will be discussed. The case will be made that investing in strategic refactoring and decomposition during the migration will reap the benefits of a modern, decoupled and simplified system. The end game being alignment and adoption of current best practices around PaaS, Saas, SOA, event-driven architectures, and message-oriented middleware, at scale in the cloud, to provide quantifiable business value. This talk will focus more on the big picture, at times delving into technical architectures and discussion of certain technologies and service providers. Use of Containers (Docker) is evangelized for decoupling and decomposing legacy systems. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20140403legacytocloud-140402212640-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This session discusses the process to move legacy applications &quot;into the cloud&quot;. It is intended for a diverse audience including developers, architects, and managers. We will discuss techniques, methodologies, and thought processes used to analyze, design, and execute a migration strategy and implementation plan -- from planning through rollout and operational. An important aspect of this is the necessity for technical staff to effectively communicate to mid-level management how these design decisions and strategies translate into cost, complexity and schedule. Commonly used migration strategies, cloud technologies, architecture options, and low level technologies will be discussed. The case will be made that investing in strategic refactoring and decomposition during the migration will reap the benefits of a modern, decoupled and simplified system. The end game being alignment and adoption of current best practices around PaaS, Saas, SOA, event-driven architectures, and message-oriented middleware, at scale in the cloud, to provide quantifiable business value. This talk will focus more on the big picture, at times delving into technical architectures and discussion of certain technologies and service providers. Use of Containers (Docker) is evangelized for decoupling and decomposing legacy systems.
server to cloud: converting a legacy platform to an open source paas from Todd Fritz
]]> 2489 5 https://cdn.slidesharecdn.com/ss_thumbnails/20140403legacytocloud-140402212640-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-ToddFritz-48x48.jpg?cb=1538063761 Demonstrated success delivering on complex, high-impact initiatives with expertise in technical management (multiple agile teams), strategy, Enterprise Architecture, process automation, software and infrastructure engineering. I have built multiple business critical systems that handle greater than $1 Billion dollars annually using agile methodologies. I lead software development teams to design and build innovative, enterprise-class and distributed systems. My background contains numerous roles of responsibility, and I have a diverse skill set that spans from back-end to front-end, with emphasis on high volume, message oriented middleware and back-end solutions (such as Data Lakes). I e... https://cdn.slidesharecdn.com/ss_thumbnails/2017devnexusreactive-fast-data-and-data-lake-akka-kafka-spark-170224145224-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/reactive-fast-data-the-data-lake-with-akka-kafka-spark/72543895 Reactive Fast Data &amp; t... https://cdn.slidesharecdn.com/ss_thumbnails/2017janajugfinal-170117230014-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/building-reactive-fast-data-the-data-lake-with-akka-kafka-spark/71121316 Building Reactive Fast... https://cdn.slidesharecdn.com/ss_thumbnails/2015-03-11toddfritzdevnexus2015-150310202110-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds ToddFritz/2015-0311toddfritzdevnexus2015 2015 03-11_todd-fritz_...