Jenkins has been the preferred tool for continuous integration and deployment for many years already due to it's smooth user experience, easy configuration, abundance of available plugins and integrations. During the talk we will tell about best practices on using Jenkins together with Cloud Foundry installations, accelerating cloud-native application delivery and packaging using combination of Docker and Jenkins and thoughtful configuration of CI/CD pipelines and keeping apps up-to-date on all CF environments.
Continuous Integration and Deployment with Jenkins for PCFVMware Tanzu
SpringOne Platform 2017
Andrei Krasnitski, Altoros
Jenkins has been the preferred tool for continuous integration and deployment for many years already due to it's smooth user experience, easy configuration, abundance of available plugins and integrations. During the talk we will tell about best practices on using Jenkins together with Cloud Foundry installations, accelerating cloud-native application delivery and packaging using combination of Docker and Jenkins and thoughtful configuration of CI/CD pipelines and keeping apps up-to-date on all CF environments. Together with that, Altoros will make an intro to Jenkins tile for PCF and tell how to boost release engineering practice with the help of this instrument.
DCSF19 Adding a Modern API Layer to ‘Dockerized’ Legacy Apps Docker, Inc.
Dejim Juang, Mulesoft & Elton Stoneman, Docker
As enterprises navigate a high degree of change, IT teams are stretched across supporting existing services and driving innovation. But when it comes to delivering on new services like a mobile app or IoT, a common challenge is that the crown jewels of the enterprise, its data and systems, remain locked up in proprietary applications or in the brains of specialists.
In this hands-on demo and talk, we show how you can unlock the data in your proprietary applications and core systems. You'll see how to go beyond containerization by adding a restful API-layer to a dockerized legacy app, which can unlock its capabilities and data in a secure and managed way. Lastly, we also introduce the idea of an Application Network, its key guiding principles (discoverability, security, and manageability), and how it can help fuel innovation.
DCSF 19 Microservices API: Routing Across Any InfrastructureDocker, Inc.
Alex Hokanson + Brett Inman, Docker
Microservice architectures can be difficult to implement. Specifically how to route to the a service correctly and ensure that traffic is spread across all instances of that service. What happens in a cloud environment where it is normal to lose and gain service instances as a part of daily operations? How do you configure something to be able to consistently route to your service when you don’t even know where your service is running!? At Docker, we developed our own highly available and automated API server on top of HAProxy with deep integration with Consul. Our API server acts as a service discovery and load balancing service to ensure availability in a highly dynamic environment. In addition to running such a complex application, we need to support thousands of requests per second while being able to monitor every request that comes through--that is no small feat!
In addition to running a highly available API server, we also recently migrated it from running natively on Ubuntu 14.04 to run all components inside of containers by using Kubernetes with Docker Enterprise. With the containerization journey came some benefits along with new challenges that were not foreseen.
DCSF 19 Building Your Development Pipeline Docker, Inc.
Oliver Pomeroy, Docker & Laura Tacho, Cloudbees
Enterprises often want to provide automation and standardisation on top of their container platform, using a pipeline to build and deploy their containerized applications. However this opens up new challenges; Do I have to build a new CI/CD Stack? Can I build my CI/CD pipeline with Kubernetes orchestration? What should my build agents look like? How do I integrate my pipeline into my enterprise container registry? In this session full of examples and how-to's, Olly and Laura will guide you through common situations and decisions related to your pipelines. We'll cover building minimal images, scanning and signing images, and give examples on how to enforce compliance standards and best practices across your teams.
DevOps @ OpenShift Online
Presenter: Adam Miller
As the Release Engineer and a member of Operations team for OpenShift Online, a downstream consumer of OpenShift Origin and the largest Public implementation of OpenShift to date, Adam Miller will discuss what it's like behind the scenes at OpenShift.com and share lessons learned and bring his thoughts and feedback on the future direction of Origin.
Slides from DockerCon SF 2015 –
Docker at Lyft: Speeding up development w/ Matthew Leventi
Talk description: Learn how Docker enables Lyft to increase developer productivity across our engineering organization. We'll go through a local development model that decreases our developer onboard time, and keeps our teams focused on delivering product goals. We'll also talk about how we use Docker to test changes to our servers and allow QA testing of our mobile clients. You'll come out of the talk with techniques and reasons for integrating docker not just in the cloud but also onto developer's laptops.
Continuous Integration and Deployment with Jenkins for PCFVMware Tanzu
SpringOne Platform 2017
Andrei Krasnitski, Altoros
Jenkins has been the preferred tool for continuous integration and deployment for many years already due to it's smooth user experience, easy configuration, abundance of available plugins and integrations. During the talk we will tell about best practices on using Jenkins together with Cloud Foundry installations, accelerating cloud-native application delivery and packaging using combination of Docker and Jenkins and thoughtful configuration of CI/CD pipelines and keeping apps up-to-date on all CF environments. Together with that, Altoros will make an intro to Jenkins tile for PCF and tell how to boost release engineering practice with the help of this instrument.
DCSF19 Adding a Modern API Layer to ‘Dockerized’ Legacy Apps Docker, Inc.
Dejim Juang, Mulesoft & Elton Stoneman, Docker
As enterprises navigate a high degree of change, IT teams are stretched across supporting existing services and driving innovation. But when it comes to delivering on new services like a mobile app or IoT, a common challenge is that the crown jewels of the enterprise, its data and systems, remain locked up in proprietary applications or in the brains of specialists.
In this hands-on demo and talk, we show how you can unlock the data in your proprietary applications and core systems. You'll see how to go beyond containerization by adding a restful API-layer to a dockerized legacy app, which can unlock its capabilities and data in a secure and managed way. Lastly, we also introduce the idea of an Application Network, its key guiding principles (discoverability, security, and manageability), and how it can help fuel innovation.
DCSF 19 Microservices API: Routing Across Any InfrastructureDocker, Inc.
Alex Hokanson + Brett Inman, Docker
Microservice architectures can be difficult to implement. Specifically how to route to the a service correctly and ensure that traffic is spread across all instances of that service. What happens in a cloud environment where it is normal to lose and gain service instances as a part of daily operations? How do you configure something to be able to consistently route to your service when you don’t even know where your service is running!? At Docker, we developed our own highly available and automated API server on top of HAProxy with deep integration with Consul. Our API server acts as a service discovery and load balancing service to ensure availability in a highly dynamic environment. In addition to running such a complex application, we need to support thousands of requests per second while being able to monitor every request that comes through--that is no small feat!
In addition to running a highly available API server, we also recently migrated it from running natively on Ubuntu 14.04 to run all components inside of containers by using Kubernetes with Docker Enterprise. With the containerization journey came some benefits along with new challenges that were not foreseen.
DCSF 19 Building Your Development Pipeline Docker, Inc.
Oliver Pomeroy, Docker & Laura Tacho, Cloudbees
Enterprises often want to provide automation and standardisation on top of their container platform, using a pipeline to build and deploy their containerized applications. However this opens up new challenges; Do I have to build a new CI/CD Stack? Can I build my CI/CD pipeline with Kubernetes orchestration? What should my build agents look like? How do I integrate my pipeline into my enterprise container registry? In this session full of examples and how-to's, Olly and Laura will guide you through common situations and decisions related to your pipelines. We'll cover building minimal images, scanning and signing images, and give examples on how to enforce compliance standards and best practices across your teams.
DevOps @ OpenShift Online
Presenter: Adam Miller
As the Release Engineer and a member of Operations team for OpenShift Online, a downstream consumer of OpenShift Origin and the largest Public implementation of OpenShift to date, Adam Miller will discuss what it's like behind the scenes at OpenShift.com and share lessons learned and bring his thoughts and feedback on the future direction of Origin.
Slides from DockerCon SF 2015 –
Docker at Lyft: Speeding up development w/ Matthew Leventi
Talk description: Learn how Docker enables Lyft to increase developer productivity across our engineering organization. We'll go through a local development model that decreases our developer onboard time, and keeps our teams focused on delivering product goals. We'll also talk about how we use Docker to test changes to our servers and allow QA testing of our mobile clients. You'll come out of the talk with techniques and reasons for integrating docker not just in the cloud but also onto developer's laptops.
DCEU 18: 5 Patterns for Success in Application TransformationDocker, Inc.
Elton Stoneman - Developer Advocate, Docker
Legacy applications weren't designed to run in a modern distributed platform like Docker. They have their own ideas about logging, configuration and health which don't translate to the world of containers and make transformation projects hard.
This session shows you how to bring your old applications into the modern world, and integrate them with Docker - without changing code. We'll cover patterns for all the core application concerns:
* logging
* configuration
* monitoring
* health
* dependency management
The sample applications will be in .NET and Java, and will show you how to turn your existing applications into good Docker citizens.
By, Pradipta Banerjee
Planning to use Docker and Kubernetes in production for cloud-native apps. Concerned about how to integrate a Kubernetes cluster into your existing infrastructure!! This talk will take you through some of the common challenges when deploying an on-prem Kubernetes cluster and how to address those challenges
DockerCon SF 2015: From Months to MinutesDocker, Inc.
How GE Appliances Brought Docker Into the Enterprise -
Talk Description: In a traditional enterprise IT shop, it’s common to find a plethora of aging technologies. From COBOL running on mainframes, to huge Java applications spread across both physical and virtual hardware, the enterprise can sometimes resemble a living museum of IT. For application owners, bureaucracy, lack of business priority, and complex infrastructure can slow innovation, and make it difficult to stay current.
At GE, we leveraged Docker/Mesos to create an internal application platform that brings speed, simplicity, and cutting edge deployment processes to our enterprise, empowering developers to go from concept to production in minutes, rather than months.
"The majority of the container security discussion revolves around containers on Linux while the security of containers in Windows is left as a mystical black box. In this talk we'll peel back the curtain and dive in to how Windows containers are secured.
Does Windows have namespaces? How does it compose the layers of a container's filesystem? How does it limit resource usage of containers? I heard there's a Hyper-V isolation thing, what's that about?
We'll answer all these questions and more!"
You have heard about containers and would like to see more than some hand waving and slideware. Well sit back and enjoy. We'll cover some basic vocabulary and tech for those who are new to the technology. From there on out, it will be all demos! Starting with just deploying a simple Docker image, we will work all the way up to a complete application and scale it on demand. You will leave a great taste of the technology Red Hat and Cisco will be bringing you to get your application development on the right track!
An application path to production does not end with a deployment, even if you are using Kubernetes (K8s) as your application deployment platform. Reliable BCDR (backup and disaster recovery) plan and framework is a must for any production-ready system.
This presentation accompanies meetups and webinars in which Oleg Chunikhin, CTO at Kublr, shows how Velero BCDR framework works and demonstrates how it can be used to backup and recover realistic applications running on Kubernetes in different clouds and environments.
What is covered:
- general notions of Kubernetes applications BCDR
- Velero BCDR framework
- demo Velero BCDR for stateful applications running on AWS and Azure clouds
- demo Velero BCDR using Strimzi / Kafka cluster and ArgoCD CI/CD manager as example application
DockerCon SF 2015: Docker in the New York Times NewsroomDocker, Inc.
Eric Buth's Presentation at DockerCon SF 2015:
Talk Description: In the New York Times newsroom you’ll find a deeply heterogeneous technology environment that exists – by necessity – outside of the larger, more well-defined development pipelines of the rest of the organization. On the Interactive News team, part of our mission is providing a reliable path to production for designers/developers/reporters who need to be able to make their own technology choices on what can be extremely tight deadlines.
Containerization is becoming increasingly important to these efforts, and we’re ready to share our experience working with Docker and crafting complementary orchestration, communication, and organization solutions.
5 patterns for success for application transformationDocker, Inc.
Legacy apps weren't designed to run in a modern distributed platform like Docker. They have their own ideas about logging, configuration and health which don't translate to the world of containers and make transformation projects hard.
This session shows you how to bring your old apps into the modern world, and integrate them with Docker - without changing code. We'll cover patterns for all the core application concerns:
* logging
* configuration
* monitoring
* health
* dependency management
The sample apps will be in .NET and Java, and will show you how to turn your existing apps into good Docker citizens.
Cost-effective Compute Clusters with Spot and Pre-emptible Instances - KubeCo...Platform9
Kubernetes and Spot/Pre-emptible Instances (SPIs) are arguably a match made in heaven. Traditionally, the uncertainty of SPIs (they can be terminated at any time due to price fluctuations) have made managing them tricky, and restricted them to specific workloads and use cases.
Kubernetes, in contrast, not only handles node failure very well, it has trained developers and architects to design applications to tolerate and even embrace failure. The prospect of Kubernetes abstracting the complexities of SPIs is now a reality, enabling applications to take advantage of low-cost compute across different clouds and possibly vendors.
The purpose of this talk is to educate the audience on strategies for making the most out of this powerful combination. Specifically, we will discuss these topics:
1. What are spot bidding strategies, and what is their cost vs. predictability trade-off?
2. What class of Kubernetes applications would benefit the most from SPIs?
3. Available Kubernetes mechanisms (e.g taints/tolerations, affinity, availability zones) for placing applications based on their tolerance with SPIs
3. Implementation strategies (e.g. blending multiple autoscaling groups to satisfy both SPI-optimized applications vs. applications that are more mission-critical or stateful)
4. What out-of-the box solutions exist, either free or commercial?
5. How to take abstract away clouds from different regions and vendors, allowing workloads to always take advantage of the best available pricing?
The talk concludes with real-world test results involving multiple use cases and configurations, giving the audience an idea of the potential cost savings and trade-offs (if any) of combining Kubernetes and SPIs.
"Container technologies such as Docker are rapidly becoming the de-facto way to deploy cloud applications, and Java is committed to being a good container citizen. This session will explain how OpenJDK fits into the world of containers, specifically how it fits with Docker images and containers.
The session will focus on the production of optimized Docker images containing a JDK. We will introduce technologies such as jlink, that can be used to reduce the size of the created image. The session will explain Alpine/musl support for an effective image and runtime. The session will also talk about and the inclusion of Class Data Sharing (CDS) archives and Ahead of Time (AOT) shared object libraries for improving startup time.
The attendees will learn about the recent work that has gone into OpenJDK for interacting with container resource limitations."
OSDC 2018 | Git things done with GitLab by Gabriel Hartmann and Nicole LangNETWAYS
Version control can basically be found in almost every company, team or project – no matter if it is used for creating and releasing software or providing a safe place for your setup’s configurations. A lot of professionals have chosen GitLab for making work life easier, better and more flexible.
So, ever wondered why GitLab is so famous? Or why it is easy to use while still being such a feature-rich application? And how you can take a fast start with a new idea?
Then come and check out GitLab with us! We will give you an introduction to GitLab and the basics needed for working with this version control software – create your project, write a Dockerfile and power it on with a runner.
Git things done fast and efficiently!
By,
Sajith Ainikkal
In this brief talk I will touch up on how Pivotal & CloudFoundry Foundation driving a Cloud Agnostic Platform based approach towards building modern cloud native applications without worrying about the hassles of 'Day 2' issues of managing VM and Container clusters and its adoption across enterprise segments. I will also talk about few of the latest stuff in the market including the developments in BOSH, Open Service Broker APIs initiative and OCI (Open Container Initiative). Today Cloud Foundry Garden and Docker are two implementations of OCI and Garden containers can run a Cloud Foundry / Docker /Windows container image.
DCSF 19 Developing Apps with Containers, Functions and Cloud ServicesDocker, Inc.
Cloud native applications are composed of containers, serverless functions and managed cloud services.
What is the best set of tools on your desktop to provide a rapid, iterative development experience and package applications using these three components?
This hand-on talk will explain how you can complement Docker Desktop, with it’s local Docker engine and Kubernetes cluster, with open source tools such as the Virtual Kubelet, Open Service Broker, the Gloo hybrid app gateway, Draft, and others, to build the most productive development inner-loop for these type of applications.
It will also cover how you can use the Cloud Native Application Bundle (CNAB) format and it’s implementation in the Docker app experimental tool to package your application and manage it with container supply chain tooling such as Docker Hub.
Automating CICD Pipeline with GitLab and Docker Containers for Java ApplicationsJelastic Multi-Cloud PaaS
Setting up proper CI/CD pipeline usually appears to be quite a complex and time-consuming task even for an experienced developer, as you need to know how to properly combine all the application components with the required CI/CD interconnection points. Moreover, in the Docker world you have to manage builds of your stack images. But everyone understands the importance of this process to save time, money and efforts, as well as increase the quality. See how to make the required configurations in order to automate and simplify the preparation of environments for all lifecycle stages, perform instant integration of new product versions and make updates without downtimes.
Kubernetes reminds me a lot of git. Git was originally designed to be a collection of tools to create a version control system. Kubernetes is very similar. It exposes a lot of primitives to help people develop their own orchestration, dev-ops tooling because of it's low-level, beautifully designed APIs. A lot of kubectl tooling, is just using lower level kubernetes APIs underneath. In this talk, I will talk about how we created an opinionated workflow for devops that did everything triggered from receiving git-push and then generate a docker image, issue a zero-downtime rollout, generate SSL certificates, and reconfigure the API gateway using Kubernetes as a framework. This talk will help you understand the Kubernetes API, the Kubernetes execution model and design philosophy, and maybe write your own tools for fun and profit!
Presented in Bangalore Container Conference 2017.
Efficient Parallel Testing with Docker by Laura FrankDocker, Inc.
Fast and efficient software testing is easy with Docker. We often
use containers to maintain parity across development, testing, and production environments, but we can also use containerization to significantly reduce time needed for testing by spinning up multiple instances of fully isolated testing environments and executing tests in parallel. This strategy also helps you maximize the utilization of infrastructure resources. The enhanced toolset provided by Docker makes this process simple and unobtrusive, and you’ll see how Docker Engine, Registry, Machine, and Compose can work together to make your tests fast.
DCEU 18: 5 Patterns for Success in Application TransformationDocker, Inc.
Elton Stoneman - Developer Advocate, Docker
Legacy applications weren't designed to run in a modern distributed platform like Docker. They have their own ideas about logging, configuration and health which don't translate to the world of containers and make transformation projects hard.
This session shows you how to bring your old applications into the modern world, and integrate them with Docker - without changing code. We'll cover patterns for all the core application concerns:
* logging
* configuration
* monitoring
* health
* dependency management
The sample applications will be in .NET and Java, and will show you how to turn your existing applications into good Docker citizens.
By, Pradipta Banerjee
Planning to use Docker and Kubernetes in production for cloud-native apps. Concerned about how to integrate a Kubernetes cluster into your existing infrastructure!! This talk will take you through some of the common challenges when deploying an on-prem Kubernetes cluster and how to address those challenges
DockerCon SF 2015: From Months to MinutesDocker, Inc.
How GE Appliances Brought Docker Into the Enterprise -
Talk Description: In a traditional enterprise IT shop, it’s common to find a plethora of aging technologies. From COBOL running on mainframes, to huge Java applications spread across both physical and virtual hardware, the enterprise can sometimes resemble a living museum of IT. For application owners, bureaucracy, lack of business priority, and complex infrastructure can slow innovation, and make it difficult to stay current.
At GE, we leveraged Docker/Mesos to create an internal application platform that brings speed, simplicity, and cutting edge deployment processes to our enterprise, empowering developers to go from concept to production in minutes, rather than months.
"The majority of the container security discussion revolves around containers on Linux while the security of containers in Windows is left as a mystical black box. In this talk we'll peel back the curtain and dive in to how Windows containers are secured.
Does Windows have namespaces? How does it compose the layers of a container's filesystem? How does it limit resource usage of containers? I heard there's a Hyper-V isolation thing, what's that about?
We'll answer all these questions and more!"
You have heard about containers and would like to see more than some hand waving and slideware. Well sit back and enjoy. We'll cover some basic vocabulary and tech for those who are new to the technology. From there on out, it will be all demos! Starting with just deploying a simple Docker image, we will work all the way up to a complete application and scale it on demand. You will leave a great taste of the technology Red Hat and Cisco will be bringing you to get your application development on the right track!
An application path to production does not end with a deployment, even if you are using Kubernetes (K8s) as your application deployment platform. Reliable BCDR (backup and disaster recovery) plan and framework is a must for any production-ready system.
This presentation accompanies meetups and webinars in which Oleg Chunikhin, CTO at Kublr, shows how Velero BCDR framework works and demonstrates how it can be used to backup and recover realistic applications running on Kubernetes in different clouds and environments.
What is covered:
- general notions of Kubernetes applications BCDR
- Velero BCDR framework
- demo Velero BCDR for stateful applications running on AWS and Azure clouds
- demo Velero BCDR using Strimzi / Kafka cluster and ArgoCD CI/CD manager as example application
DockerCon SF 2015: Docker in the New York Times NewsroomDocker, Inc.
Eric Buth's Presentation at DockerCon SF 2015:
Talk Description: In the New York Times newsroom you’ll find a deeply heterogeneous technology environment that exists – by necessity – outside of the larger, more well-defined development pipelines of the rest of the organization. On the Interactive News team, part of our mission is providing a reliable path to production for designers/developers/reporters who need to be able to make their own technology choices on what can be extremely tight deadlines.
Containerization is becoming increasingly important to these efforts, and we’re ready to share our experience working with Docker and crafting complementary orchestration, communication, and organization solutions.
5 patterns for success for application transformationDocker, Inc.
Legacy apps weren't designed to run in a modern distributed platform like Docker. They have their own ideas about logging, configuration and health which don't translate to the world of containers and make transformation projects hard.
This session shows you how to bring your old apps into the modern world, and integrate them with Docker - without changing code. We'll cover patterns for all the core application concerns:
* logging
* configuration
* monitoring
* health
* dependency management
The sample apps will be in .NET and Java, and will show you how to turn your existing apps into good Docker citizens.
Cost-effective Compute Clusters with Spot and Pre-emptible Instances - KubeCo...Platform9
Kubernetes and Spot/Pre-emptible Instances (SPIs) are arguably a match made in heaven. Traditionally, the uncertainty of SPIs (they can be terminated at any time due to price fluctuations) have made managing them tricky, and restricted them to specific workloads and use cases.
Kubernetes, in contrast, not only handles node failure very well, it has trained developers and architects to design applications to tolerate and even embrace failure. The prospect of Kubernetes abstracting the complexities of SPIs is now a reality, enabling applications to take advantage of low-cost compute across different clouds and possibly vendors.
The purpose of this talk is to educate the audience on strategies for making the most out of this powerful combination. Specifically, we will discuss these topics:
1. What are spot bidding strategies, and what is their cost vs. predictability trade-off?
2. What class of Kubernetes applications would benefit the most from SPIs?
3. Available Kubernetes mechanisms (e.g taints/tolerations, affinity, availability zones) for placing applications based on their tolerance with SPIs
3. Implementation strategies (e.g. blending multiple autoscaling groups to satisfy both SPI-optimized applications vs. applications that are more mission-critical or stateful)
4. What out-of-the box solutions exist, either free or commercial?
5. How to take abstract away clouds from different regions and vendors, allowing workloads to always take advantage of the best available pricing?
The talk concludes with real-world test results involving multiple use cases and configurations, giving the audience an idea of the potential cost savings and trade-offs (if any) of combining Kubernetes and SPIs.
"Container technologies such as Docker are rapidly becoming the de-facto way to deploy cloud applications, and Java is committed to being a good container citizen. This session will explain how OpenJDK fits into the world of containers, specifically how it fits with Docker images and containers.
The session will focus on the production of optimized Docker images containing a JDK. We will introduce technologies such as jlink, that can be used to reduce the size of the created image. The session will explain Alpine/musl support for an effective image and runtime. The session will also talk about and the inclusion of Class Data Sharing (CDS) archives and Ahead of Time (AOT) shared object libraries for improving startup time.
The attendees will learn about the recent work that has gone into OpenJDK for interacting with container resource limitations."
OSDC 2018 | Git things done with GitLab by Gabriel Hartmann and Nicole LangNETWAYS
Version control can basically be found in almost every company, team or project – no matter if it is used for creating and releasing software or providing a safe place for your setup’s configurations. A lot of professionals have chosen GitLab for making work life easier, better and more flexible.
So, ever wondered why GitLab is so famous? Or why it is easy to use while still being such a feature-rich application? And how you can take a fast start with a new idea?
Then come and check out GitLab with us! We will give you an introduction to GitLab and the basics needed for working with this version control software – create your project, write a Dockerfile and power it on with a runner.
Git things done fast and efficiently!
By,
Sajith Ainikkal
In this brief talk I will touch up on how Pivotal & CloudFoundry Foundation driving a Cloud Agnostic Platform based approach towards building modern cloud native applications without worrying about the hassles of 'Day 2' issues of managing VM and Container clusters and its adoption across enterprise segments. I will also talk about few of the latest stuff in the market including the developments in BOSH, Open Service Broker APIs initiative and OCI (Open Container Initiative). Today Cloud Foundry Garden and Docker are two implementations of OCI and Garden containers can run a Cloud Foundry / Docker /Windows container image.
DCSF 19 Developing Apps with Containers, Functions and Cloud ServicesDocker, Inc.
Cloud native applications are composed of containers, serverless functions and managed cloud services.
What is the best set of tools on your desktop to provide a rapid, iterative development experience and package applications using these three components?
This hand-on talk will explain how you can complement Docker Desktop, with it’s local Docker engine and Kubernetes cluster, with open source tools such as the Virtual Kubelet, Open Service Broker, the Gloo hybrid app gateway, Draft, and others, to build the most productive development inner-loop for these type of applications.
It will also cover how you can use the Cloud Native Application Bundle (CNAB) format and it’s implementation in the Docker app experimental tool to package your application and manage it with container supply chain tooling such as Docker Hub.
Automating CICD Pipeline with GitLab and Docker Containers for Java ApplicationsJelastic Multi-Cloud PaaS
Setting up proper CI/CD pipeline usually appears to be quite a complex and time-consuming task even for an experienced developer, as you need to know how to properly combine all the application components with the required CI/CD interconnection points. Moreover, in the Docker world you have to manage builds of your stack images. But everyone understands the importance of this process to save time, money and efforts, as well as increase the quality. See how to make the required configurations in order to automate and simplify the preparation of environments for all lifecycle stages, perform instant integration of new product versions and make updates without downtimes.
Kubernetes reminds me a lot of git. Git was originally designed to be a collection of tools to create a version control system. Kubernetes is very similar. It exposes a lot of primitives to help people develop their own orchestration, dev-ops tooling because of it's low-level, beautifully designed APIs. A lot of kubectl tooling, is just using lower level kubernetes APIs underneath. In this talk, I will talk about how we created an opinionated workflow for devops that did everything triggered from receiving git-push and then generate a docker image, issue a zero-downtime rollout, generate SSL certificates, and reconfigure the API gateway using Kubernetes as a framework. This talk will help you understand the Kubernetes API, the Kubernetes execution model and design philosophy, and maybe write your own tools for fun and profit!
Presented in Bangalore Container Conference 2017.
Efficient Parallel Testing with Docker by Laura FrankDocker, Inc.
Fast and efficient software testing is easy with Docker. We often
use containers to maintain parity across development, testing, and production environments, but we can also use containerization to significantly reduce time needed for testing by spinning up multiple instances of fully isolated testing environments and executing tests in parallel. This strategy also helps you maximize the utilization of infrastructure resources. The enhanced toolset provided by Docker makes this process simple and unobtrusive, and you’ll see how Docker Engine, Registry, Machine, and Compose can work together to make your tests fast.
Develop and deploy Kubernetes applications with Docker - IBM Index 2018Patrick Chanezon
Docker Desktop and Enterprise Edition now both include Kubernetes as an optional orchestration component. This talk will explain how to use Docker Desktop (Mac or Windows) to develop and debug a cloud native application, then how Docker Enterprise Edition helps you deploy it to Kubernetes in production.
Building Efficient Parallel Testing Platforms with DockerLaura Frank Tacho
We often use containers to maintain parity across development, testing, and production environments, but we can also use containerization to significantly reduce time needed for testing by spinning up multiple instances of fully isolated testing environments and executing tests in parallel. This strategy also helps you maximize the utilization of infrastructure resources. The enhanced toolset provided by Docker makes this process simple and unobtrusive, and you’ll see how Docker Engine, Registry, and Compose can work together to make your tests fast.
Awareness presentation on the integration of Network Operations into DevOps and using tools like Ansible and UCS director to automate network operations.
Fast and efficient software testing is easy with Docker. We often
use containers to maintain parity across development, testing, and production environments, but we can also use containerization to significantly reduce time needed for testing by spinning up multiple instances of fully isolated testing environments and executing tests in parallel. This strategy also helps you maximize the utilization of infrastructure resources. The enhanced toolset provided by Docker makes this process simple and unobtrusive, and you’ll see how Docker Engine, Registry, and Compose can work together to make your tests fast.
JUC Europe 2015: From Virtual Machines to Containers: Achieving Continuous In...CloudBees
By Christian Lipphardt, Camunda Services
Camunda is an open source, Java-based framework process/business process automation. As a middleware technology, Camunda integrates with six different Java application servers (in different versions) and supports six different database products. The team at Camunda maintains five supported versions of Camunda itself, adding two versions every year. Maintaining the necessary continuous integration (CI) infrastructure based on virtual machines became increasingly problematic, with poor build reproducibility and limited scalability. Feedback cycles for developers were unacceptable. Recently Camunda switched from the virtual machine model to a container model based on Docker. The Camunda team now develops infrastructure as code and applies microservice-like separation of concerns. In the talk, Daniel will share the new CI architecture and present lessons learned.
Building Distributed Systems without Docker, Using Docker Plumbing Projects -...Patrick Chanezon
Docker provides an integrated and opinionated toolset to build, ship and run distributed applications. Over the past year, the Docker codebase has been refactored extensively to extract infrastructure plumbing components that can be used independently, following the UNIX philosophy of small tools doing one thing well: runC, containerd, swarmkit, hyperkit, vpnkit, datakit and the newly introduced InfraKit.
This talk will give an overview of these tools and how you can use them to build your own distributed systems without Docker.
Patrick Chanezon & David Chung, Docker & Phil Estes, IBM
Evénement Docker Paris: Anticipez les nouveaux business model et réduisez vos...Docker, Inc.
Au programme : la mise en place de plateformes agiles pour s’adapter aux nouveaux business models, l’optimisation des coûts IT dans le cadre de vos déploiements applicatifs, réussir la mise en oeuvre de Kubernetes, garantir la sécurité de vos applications tout au long de leur cycle de vie et bien plus encore.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2aLgjxD.
John Willis takes a brief look at the history of how Devops principles and operating systems have converged. He spends most of the time forward looking at what and how unikernels will converge with Devops tools, processes and culture. He ends with a demo of how containers, unikernels and Devops ideas can work together in the future. Filmed at qconnewyork.com.
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Similar to Continuous Integration and Deployment with Jenkins for PCF (20)
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Continuous Integration and Deployment with Jenkins for PCF
1. Andrei Krasnitski
Cloud Foundry Engineer
ALTOROS
@altoros
Continuous Integration and
Deployment with Jenkins for
PCF
@infra-red
2. 2
ABOUT JENKINS
An extensible automation server built on
the JVM with hundreds of plugin to support
nearly every continuous integration,
delivery and deployment pipeline
imaginable
3. 3
ABOUT ME
• Cloud Foundry Engineer at Altoros
Andrei Krasnitski
• Long time Jenkins user and community
member
• Contributor on various open-source
projects @infra-red
@andreikrasnitski
• Maintainer of the Log Search project
4. 4
WHY JENKINS?
• Easy setup Procedure
• Cross system support
• Answers to most of the questions are available on the WEB
• Extensive Documentation and Tutorials
• Distributed builds
• Full Transparency and Total Control
7. 7
BENEFITS?
• CI pipelines + project source code are in a one place
• Configuration change tracking
• Built-in global library to share scripts, functions,
variables across jobs
• Extend the DSL with your own
steps
8. 8
PIPELINE SAMPLE
• Syntax: Groovy-based DSL
• Store job description on SCM, e.g. jenkinsfile in the repo’s root
• https://tiny.cc/jenkins-pipeline
9. 9
SNIPPET GENERATOR
• First steps are
always the hardest
• Create your code
for individual steps
• Discover all the
steps provided by
plugin
10. 10
PIPELINE EDITOR
• Edit the Jenkinsfile
for a specific branch
directly from the
Web user interface
using the Visual
Pipeline Editor
11. 11
TOOLS
• Blue Ocean editor
• Command-line pipeline linter
• Jenkins Pipeline Unit Testing Framework
• ”Replay” function
12. 12
MULTIBRANCH WORKFLOW
• Job configurations contain only the reference to the
SCM
• Jenkins takes pipeline from jenkinsfile in SCM
• Pull-request builds
• Jenkins creates separate subtasks for branches,
builds and report results separately
• Organization Folders
14. 14
CONTAINER RUNTIME
Docker
Kubernetes
Apache Mesos
Docker is an open platform for developers and sysadmins to build, ship, and run distributed
applications, whether on laptops, data center VMs, or the cloud.
Kubernetes is an open-source system for automating deployment, scaling, and management of
containerized applications.
Apache Mesos is an open-source project to manage computer clusters.
15. 15
BENEFITS?
• No need for manual worker nodes
management
• All builds run in stateless infrastructure
• Restriction of services
• Isolation of resources
16. 16
DOCKER SLAVES
• No need to install software on Jenkins nodes
• Use multiple versions of the same tool
• Possibility to use existing containers based on Dockerfile
content
18. 18
SUMMARY
• Finally nice pipelines!
• The way to go with Jenkins
• Many of Jenkins plugins already compatible
• Pipeline as code!
• Versioned
• Code sharing
• New UI stuff is still broken
• Endless possibilities – can be complex and
painful