�ݺ�ߣshows by User: yveshwang

�ݺ�ߣshows by User: yveshwang / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: yveshwang / Fri, 24 Jun 2016 12:57:06 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: yveshwang Enterprise I.T. is dead, long live enterprise I.T.! /slideshow/enterprise-it-is-dead-long-live-enterprise-it/63414245 devoxx2016yves-160624125707
It is foretold that by 2020 more than three-quarters of the S&P 500 companies will be comprised of businesses that are yet known to us. The term “software is eating the world” is thus aptly coined. This is an enterprise transformation story, sprinkled liberally with devops principles, illustrating one important cog in the wheel for improving an antiquated and inefficient old school practices. At the core lies the a modern tale about ChatOps, build pipelines and continuous integration and deployment. Under the hood, the approach is grounded with Jenkins, Docker, AWS Elastic Beanstalk. and Jenkins Job Builder. This toolchain enables our teams to ship fast. In addition, the build pipeline is templated, reusable, and testable. This significantly speed up the process of configuring complex Jenkins jobs and enable highly parameterised build pipelines. Ultimately, this translates to reliability and scalability that allows the team to better support the business units in a highly efficient manner. Enterprises are forced to operate as a software shop and this presentation aims to share the findings, lessons with some hands-on, and the macabre journey that is enterprise transformation.]]>
It is foretold that by 2020 more than three-quarters of the S&P 500 companies will be comprised of businesses that are yet known to us. The term “software is eating the world” is thus aptly coined. This is an enterprise transformation story, sprinkled liberally with devops principles, illustrating one important cog in the wheel for improving an antiquated and inefficient old school practices. At the core lies the a modern tale about ChatOps, build pipelines and continuous integration and deployment. Under the hood, the approach is grounded with Jenkins, Docker, AWS Elastic Beanstalk. and Jenkins Job Builder. This toolchain enables our teams to ship fast. In addition, the build pipeline is templated, reusable, and testable. This significantly speed up the process of configuring complex Jenkins jobs and enable highly parameterised build pipelines. Ultimately, this translates to reliability and scalability that allows the team to better support the business units in a highly efficient manner. Enterprises are forced to operate as a software shop and this presentation aims to share the findings, lessons with some hands-on, and the macabre journey that is enterprise transformation.]]> Fri, 24 Jun 2016 12:57:06 GMT /slideshow/enterprise-it-is-dead-long-live-enterprise-it/63414245 yveshwang@slideshare.net(yveshwang) Enterprise I.T. is dead, long live enterprise I.T.! yveshwang It is foretold that by 2020 more than three-quarters of the S&P 500 companies will be comprised of businesses that are yet known to us. The term “software is eating the world” is thus aptly coined. This is an enterprise transformation story, sprinkled liberally with devops principles, illustrating one important cog in the wheel for improving an antiquated and inefficient old school practices. At the core lies the a modern tale about ChatOps, build pipelines and continuous integration and deployment. Under the hood, the approach is grounded with Jenkins, Docker, AWS Elastic Beanstalk. and Jenkins Job Builder. This toolchain enables our teams to ship fast. In addition, the build pipeline is templated, reusable, and testable. This significantly speed up the process of configuring complex Jenkins jobs and enable highly parameterised build pipelines. Ultimately, this translates to reliability and scalability that allows the team to better support the business units in a highly efficient manner. Enterprises are forced to operate as a software shop and this presentation aims to share the findings, lessons with some hands-on, and the macabre journey that is enterprise transformation. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/devoxx2016yves-160624125707-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> It is foretold that by 2020 more than three-quarters of the S&P 500 companies will be comprised of businesses that are yet known to us. The term “software is eating the world” is thus aptly coined. This is an enterprise transformation story, sprinkled liberally with devops principles, illustrating one important cog in the wheel for improving an antiquated and inefficient old school practices. At the core lies the a modern tale about ChatOps, build pipelines and continuous integration and deployment. Under the hood, the approach is grounded with Jenkins, Docker, AWS Elastic Beanstalk. and Jenkins Job Builder. This toolchain enables our teams to ship fast. In addition, the build pipeline is templated, reusable, and testable. This significantly speed up the process of configuring complex Jenkins jobs and enable highly parameterised build pipelines. Ultimately, this translates to reliability and scalability that allows the team to better support the business units in a highly efficient manner. Enterprises are forced to operate as a software shop and this presentation aims to share the findings, lessons with some hands-on, and the macabre journey that is enterprise transformation.

Enterprise I.T. is dead, long live enterprise I.T.! from Yves Hwang

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0 Transforming Enterprise Release Management in Elastic Beanstalk using Jenkins, Docker and Jenkins Job Builder /slideshow/transforming-enterprise-release-management-in-elastic-beanstalk-using-jenkins-docker-and-jenkins-job-builder/51821777 jues15yves-150819173052-lva1-app6892
Releasing software is hard. Getting rid of bad habits under the guise of old school enterprise I.T. is even harder. This is a devOps story about transforming an enterprise and its dated methods of release management into something modern, scalable, reliable and state of the art. On a technical level, and at the heart of this transformation, lies Jenkins, Docker, and Jenkins Job Builder. A number of our new microservices lives in Elastic Beanstalk in AWS. Coupled with bursty release cycles and multiple development teams, a need for a common build pipeline soon surfaced. Reliability and scalability is the shangri la of any build pipelines. The aforementioned toolchain allowed us to perform verification on the buildpipeline itself, template jobs for reusability, and most of all, deploy and track all changes to any Jenkins jobs via Git. This significantly sped up the process of configuring complex Jenkins jobs, and enabled highly parameterized build pipeline to take shape. Ultimately this allowed our teams to utilize Jenkins a lot more efficiently and to better manage Jenkins and the build pipeline overtime. This presentation aims to share the findings, lessons, and the slightly macabre story that is enterprise I.T. and how we went about cleaning up this mess.]]>
Releasing software is hard. Getting rid of bad habits under the guise of old school enterprise I.T. is even harder. This is a devOps story about transforming an enterprise and its dated methods of release management into something modern, scalable, reliable and state of the art. On a technical level, and at the heart of this transformation, lies Jenkins, Docker, and Jenkins Job Builder. A number of our new microservices lives in Elastic Beanstalk in AWS. Coupled with bursty release cycles and multiple development teams, a need for a common build pipeline soon surfaced. Reliability and scalability is the shangri la of any build pipelines. The aforementioned toolchain allowed us to perform verification on the buildpipeline itself, template jobs for reusability, and most of all, deploy and track all changes to any Jenkins jobs via Git. This significantly sped up the process of configuring complex Jenkins jobs, and enabled highly parameterized build pipeline to take shape. Ultimately this allowed our teams to utilize Jenkins a lot more efficiently and to better manage Jenkins and the build pipeline overtime. This presentation aims to share the findings, lessons, and the slightly macabre story that is enterprise I.T. and how we went about cleaning up this mess.]]> Wed, 19 Aug 2015 17:30:52 GMT /slideshow/transforming-enterprise-release-management-in-elastic-beanstalk-using-jenkins-docker-and-jenkins-job-builder/51821777 yveshwang@slideshare.net(yveshwang) Transforming Enterprise Release Management in Elastic Beanstalk using Jenkins, Docker and Jenkins Job Builder yveshwang Releasing software is hard. Getting rid of bad habits under the guise of old school enterprise I.T. is even harder. This is a devOps story about transforming an enterprise and its dated methods of release management into something modern, scalable, reliable and state of the art. On a technical level, and at the heart of this transformation, lies Jenkins, Docker, and Jenkins Job Builder. A number of our new microservices lives in Elastic Beanstalk in AWS. Coupled with bursty release cycles and multiple development teams, a need for a common build pipeline soon surfaced. Reliability and scalability is the shangri la of any build pipelines. The aforementioned toolchain allowed us to perform verification on the buildpipeline itself, template jobs for reusability, and most of all, deploy and track all changes to any Jenkins jobs via Git. This significantly sped up the process of configuring complex Jenkins jobs, and enabled highly parameterized build pipeline to take shape. Ultimately this allowed our teams to utilize Jenkins a lot more efficiently and to better manage Jenkins and the build pipeline overtime. This presentation aims to share the findings, lessons, and the slightly macabre story that is enterprise I.T. and how we went about cleaning up this mess. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jues15yves-150819173052-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Releasing software is hard. Getting rid of bad habits under the guise of old school enterprise I.T. is even harder. This is a devOps story about transforming an enterprise and its dated methods of release management into something modern, scalable, reliable and state of the art. On a technical level, and at the heart of this transformation, lies Jenkins, Docker, and Jenkins Job Builder. A number of our new microservices lives in Elastic Beanstalk in AWS. Coupled with bursty release cycles and multiple development teams, a need for a common build pipeline soon surfaced. Reliability and scalability is the shangri la of any build pipelines. The aforementioned toolchain allowed us to perform verification on the buildpipeline itself, template jobs for reusability, and most of all, deploy and track all changes to any Jenkins jobs via Git. This significantly sped up the process of configuring complex Jenkins jobs, and enabled highly parameterized build pipeline to take shape. Ultimately this allowed our teams to utilize Jenkins a lot more efficiently and to better manage Jenkins and the build pipeline overtime. This presentation aims to share the findings, lessons, and the slightly macabre story that is enterprise I.T. and how we went about cleaning up this mess.

Transforming Enterprise Release Management in Elastic Beanstalk using Jenkins, Docker and Jenkins Job Builder from Yves Hwang

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0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/devoxx2016yves-160624125707-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/enterprise-it-is-dead-long-live-enterprise-it/63414245 Enterprise I.T. is dea... https://cdn.slidesharecdn.com/ss_thumbnails/jues15yves-150819173052-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/transforming-enterprise-release-management-in-elastic-beanstalk-using-jenkins-docker-and-jenkins-job-builder/51821777 Transforming Enterpris...