8 - OpenShift - A look at a container platform: what's in the boxKangaroot
Many already have some familiarity with containers, and maybe even with Kubernetes. But what's the difference between those and a container platform? In this session the goal is to look at OpenShift, Red Hat's container platform based on Kubernetes. We see what it's made out of, what makes it tick, and what the future of OpenShift & Kubernetes holds.
Docker has created enormous buzz in the last few years. Docker is a open-source software containerization platform. It provides an ability to package software into standardised units on Docker for software development. In this hands-on introductory session, I introduce the concept of containers, provide an overview of Docker, and take the participants through the steps for installing Docker. The main session involves using Docker CLI (Command Line Interface) - all the concepts such as images, managing containers, and getting useful work done is illustrated step-by-step by running commands.
Leveraging Azure DevOps across the EnterpriseAndrew Kelleher
In this presentation we exploring how teams across the enterprise can leverage Azure DevOps' by diving into its different capabilities and services. Specifically in the context of Azure platform teams that can leverage agile and DevOps practices when deploying and supporting services within Azure.
This document discusses DevOps, including what it is, its principles, challenges and benefits. DevOps aims to bridge the gap between development and operations through communication, collaboration and automation. It allows for rapid product evolution, improved quality and reduced costs and risks. DevOps principles include developing in similar environments to production and frequent, validated deployments. Challenges include release management and coordination, which DevOps addresses through continuous integration, delivery and automation tools. When to adopt DevOps includes ecommerce and websites, but not critical platforms like banking systems.
This document discusses OpenShift Container Platform, a platform as a service (PaaS) that provides a full development and deployment platform for applications. It allows developers to easily manage application dependencies and development environments across basic infrastructure, public clouds, and production servers. OpenShift provides container orchestration using Kubernetes along with developer tools and a user experience to support DevOps practices like continuous integration/delivery.
This document provides an overview of continuous integration (CI), continuous delivery (CD), and continuous deployment. CI involves regularly integrating code changes into a central repository and running automated tests. CD builds on CI by automatically preparing code changes for release to testing environments. Continuous deployment further automates the release of changes to production without human intervention if tests pass. The benefits of CI/CD include higher quality, lower costs, faster delivery, and happier teams. Popular CI tools include Jenkins, Bamboo, CircleCI, and Travis. Key practices involve automating all stages, keeping environments consistent, and making the pipeline fast. Challenges include requiring organizational changes and technical knowledge to automate the full process.
This document compares traditional monolithic applications to microservices applications. Traditional applications have most functionality within a few processes separated by layers and libraries, while microservices segregate functionality into separate, independently deployable services. Traditional applications scale by cloning the entire app, while microservices can scale services individually. Microservices use a graph of interconnected services with distributed data ownership, while traditional apps typically use a single shared database.
8 - OpenShift - A look at a container platform: what's in the boxKangaroot
Many already have some familiarity with containers, and maybe even with Kubernetes. But what's the difference between those and a container platform? In this session the goal is to look at OpenShift, Red Hat's container platform based on Kubernetes. We see what it's made out of, what makes it tick, and what the future of OpenShift & Kubernetes holds.
Docker has created enormous buzz in the last few years. Docker is a open-source software containerization platform. It provides an ability to package software into standardised units on Docker for software development. In this hands-on introductory session, I introduce the concept of containers, provide an overview of Docker, and take the participants through the steps for installing Docker. The main session involves using Docker CLI (Command Line Interface) - all the concepts such as images, managing containers, and getting useful work done is illustrated step-by-step by running commands.
Leveraging Azure DevOps across the EnterpriseAndrew Kelleher
In this presentation we exploring how teams across the enterprise can leverage Azure DevOps' by diving into its different capabilities and services. Specifically in the context of Azure platform teams that can leverage agile and DevOps practices when deploying and supporting services within Azure.
This document discusses DevOps, including what it is, its principles, challenges and benefits. DevOps aims to bridge the gap between development and operations through communication, collaboration and automation. It allows for rapid product evolution, improved quality and reduced costs and risks. DevOps principles include developing in similar environments to production and frequent, validated deployments. Challenges include release management and coordination, which DevOps addresses through continuous integration, delivery and automation tools. When to adopt DevOps includes ecommerce and websites, but not critical platforms like banking systems.
This document discusses OpenShift Container Platform, a platform as a service (PaaS) that provides a full development and deployment platform for applications. It allows developers to easily manage application dependencies and development environments across basic infrastructure, public clouds, and production servers. OpenShift provides container orchestration using Kubernetes along with developer tools and a user experience to support DevOps practices like continuous integration/delivery.
This document provides an overview of continuous integration (CI), continuous delivery (CD), and continuous deployment. CI involves regularly integrating code changes into a central repository and running automated tests. CD builds on CI by automatically preparing code changes for release to testing environments. Continuous deployment further automates the release of changes to production without human intervention if tests pass. The benefits of CI/CD include higher quality, lower costs, faster delivery, and happier teams. Popular CI tools include Jenkins, Bamboo, CircleCI, and Travis. Key practices involve automating all stages, keeping environments consistent, and making the pipeline fast. Challenges include requiring organizational changes and technical knowledge to automate the full process.
This document compares traditional monolithic applications to microservices applications. Traditional applications have most functionality within a few processes separated by layers and libraries, while microservices segregate functionality into separate, independently deployable services. Traditional applications scale by cloning the entire app, while microservices can scale services individually. Microservices use a graph of interconnected services with distributed data ownership, while traditional apps typically use a single shared database.
Atomic Design - An Event Apart San DiegoBrad Frost
Design systems, not pages. This is an introduction to atomic design (http://bradfrostweb.com/blog/post/atomic-web-design/), a methodology for crafting an effective interface design system. It also introduces Pattern Lab (http://patternlab.io/), a tool for implementing atomic design systems and pattern libraries.
This document discusses Docker Registry API V2, a new model for image distribution that addresses limitations in the previous V1 API. Key changes include making layers content-addressable using cryptographic digests for identification and verification. Images are now described by manifests containing layer digests. The registry stores content in repositories and no longer exposes internal image details. Early adoption shows V2 providing significantly better performance than V1 with 80% fewer requests and 60% less bandwidth used. Future goals include improving documentation, adding features like pull-through caching, and developing the Docker distribution components to provide a foundation for more advanced distribution models.
Redgate Community Circle: Tools For SQL Server Performance TuningGrant Fritchey
This slide deck is in support of the live and video classes held by Redgate Software as part of the Community Circle initiative. This series of classes is meant to teach you the tools that can help to make query tuning easier in SQL Server. There are a number of different tools, all part of the fundamental Microsoft Data Platform offering, that can be used to help tune queries. This class outlines those tools and their uses.
DevOps combines software development and IT operations to shorten the development lifecycle while allowing for frequent, close-aligned releases with business objectives. It uses toolchains across coding, building, testing, packaging, releasing, configuring, and monitoring. Key principles include incorporating business needs, decomposing user stories methodically, and using clouds to improve computing. DevOps emerged from agile methodology and blends development and operations roles. Career paths can begin as system administrators who gain programming skills or developers who learn operations processes.
Indexes: The neglected performance all rounderMarkus Winand
The document discusses improper index use as a common cause of poor database performance. It argues that indexing is often treated as an administrative task rather than a development task, but developers do not fully understand how to properly use indexes. As a result, indexes are not designed to match the overall needs of an application's queries. The document advocates that indexing should be viewed as a design task and that developers need to more fully learn how to utilize indexes to improve performance.
DevOps Interview Questions Part - 2 | Devops Interview Questions And Answers ...Simplilearn
This presentation is about "DevOps interview questions" will take you through some of the most popular questions that you face in a DevOps interview. This video covers interview questions related to source code management, continuous integration, continuous testing, configuration management, containerization and continuous monitoring. "The DevOps Hiring Boom” claims that as many as 80 percent of Fortune 1000 organizations are expected to adopt DevOps by 2019. If you’ve started cross-training to prepare for development and operations roles in the IT industry, you know it’s a challenging field that will take some real preparation to break into. Here are some of the most common DevOps interview questions and answers that can help you while you prepare for DevOps roles in the industry. Learn and get a deeper understanding of these questions to set you apart from the crowd in this booming industry.
This "DevOps interview questions" presentation will answer the questions related to the topics mentioned below:
1. Configuration management - Chef, Puppet and Ansible
2. Containerization - Docker
3. Continuous monitoring - Nagios
Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery, and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
Learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
Write your Helm charts as a professional. Design templates and inheritance. B...Volodymyr Shynkar
Helm is a new templating tool for your applications. As with any other tool, it has thicks and hacks that you probably heard, but haven’t actually tried. In this lesson, we will review some of those approaches and also pass through different ways of deploying project workloads to the Kubernetes cluster.
DevOps is a set of practices intended to reduce the time between committing a change to a system and deploying it to production while ensuring high quality. It focuses on bridging the gap between developers and operations teams. Key principles of DevOps include systems thinking, amplifying feedback loops, and a culture of continuous learning and experimentation. DevOps aims to achieve lightning fast delivery through practices like continuous integration, deployment pipelines, infrastructure automation, and deployment strategies like blue-green deployments and canary testing.
The ability to grow (and shrink) according to the needs and the available resources is an essential part of designing applications. In this talk we'll cover the fundamental elements of scalability, including aspects involving people, processes and technology. With sound and proven principles and some advice on how to shape your organisation, set the right processes and design your application, this session is a must-see for developers and technical leads alike.
Why DevOps?
DevOps principles
DevOps concepts
DevOps practices
DevOps people
DevOps controls
DevOps training and further reading
Where do you start with DevOps?
1) LucidChart is a free online tool that allows users to create and collaborate on diagrams, flowcharts, and other visuals from a web browser.
2) The document provides tutorials and examples on how to sign up for LucidChart, create and share diagrams, work collaboratively, cite images, and publish diagrams.
3) LucidChart can be used to create various types of diagrams for educational purposes and aligns with standards for communication, collaboration, and digital citizenship.
Docker vs VM | | Containerization or Virtualization - The Differences | DevOp...Edureka!
** Edureka DevOps Training : https://www.edureka.co/devops **
This Edureka Video on Docker vs VM (Virtual Machine) video compares the Major Differences between Docker and VM. Below are the topics covered in the video:
1. What is Virtual Machine?
2. Benefits of Virtual Machine
3. What are Docker Containers
4. Benefits of Docker Containers
5. Docker vs VM – Main Differences
6. Use Case
Check our complete DevOps playlist here (includes all the videos mentioned in the video): http://goo.gl/O2vo13
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
dcVAST offers a complete managed services solution for Cohesity's hyperconverged data platform, including licensing, hardware, support and managed backup services. The Cohesity platform consolidates secondary data from backups, files and test/dev copies onto a scalable, globally deduplicated storage fabric. It provides simplified data protection with 15 minute recovery points and instant recoveries. dcVAST's managed backup service leverages Cohesity to reduce the impact of IT failures and simplify data protection.
This document compares Bicep and Terraform for infrastructure as code on Azure. It provides an overview of infrastructure as code, describes Terraform and its key principles like idempotency. Bicep is introduced as the native language for Azure Resource Manager templates that uses a simpler syntax than JSON. The document concludes that both tools can work with Azure but Bicep is tailored specifically for it while Terraform supports multi-cloud infrastructure management.
You will learn about source control principles and source control systems. You will also learn about Azure repositories, migrating strategies and authentication options.
Understand the concept of DevOps by employing DevOps Strategy Roadmap Lifecycle PowerPoint Presentation Slides Complete Deck. Describe how DevOps is different from traditional IT with these content-ready PPT themes. The slides also help to discuss DevOps use cases in the business, roadmap, and its lifecycle. Explain the roles, responsibilities, and skills of DevOps engineers by utilizing this visually appealing slide deck. Demonstrate DevOp roadmap for implementation in the organization with the help of a thoroughly researched PPT slideshow. Describe the characteristics of cloud computing, its benefits, and risks with the aid of this PPT layout. Utilize this easy-to-use DevOps transformation strategy PowerPoint slide deck to showcase the difference between cloud and traditional data centers. This ready-to-use PowerPoint layout also discusses the roadmap to integrate cloud computing in business. Highlight the usages of cloud computing and deployment models with the help of visual attention-grabbing DevOps implementation roadmap PowerPoint slides. https://bit.ly/3eFxYYr
Unique course notes for the Certified Kubernetes Administrator (CKA) for each section of the exam. Designed to be engaging and used as a reference in the future for kubernetes concepts.
Learn about the advantages of Docker technology, how it enables Informix users and developers to quickly start using Informix. Informix docker image available on docker hub requires no initial setup and/or configuration.
Docker allows applications to be packaged into standardized units called containers that can run on any infrastructure. IBM Bluemix supports Docker containers and provides services for building, managing, and hosting containerized applications in a hybrid cloud environment. Key benefits of Docker containers include increased portability and efficiency in development and deployment across physical and cloud infrastructure.
Atomic Design - An Event Apart San DiegoBrad Frost
Design systems, not pages. This is an introduction to atomic design (http://bradfrostweb.com/blog/post/atomic-web-design/), a methodology for crafting an effective interface design system. It also introduces Pattern Lab (http://patternlab.io/), a tool for implementing atomic design systems and pattern libraries.
This document discusses Docker Registry API V2, a new model for image distribution that addresses limitations in the previous V1 API. Key changes include making layers content-addressable using cryptographic digests for identification and verification. Images are now described by manifests containing layer digests. The registry stores content in repositories and no longer exposes internal image details. Early adoption shows V2 providing significantly better performance than V1 with 80% fewer requests and 60% less bandwidth used. Future goals include improving documentation, adding features like pull-through caching, and developing the Docker distribution components to provide a foundation for more advanced distribution models.
Redgate Community Circle: Tools For SQL Server Performance TuningGrant Fritchey
This slide deck is in support of the live and video classes held by Redgate Software as part of the Community Circle initiative. This series of classes is meant to teach you the tools that can help to make query tuning easier in SQL Server. There are a number of different tools, all part of the fundamental Microsoft Data Platform offering, that can be used to help tune queries. This class outlines those tools and their uses.
DevOps combines software development and IT operations to shorten the development lifecycle while allowing for frequent, close-aligned releases with business objectives. It uses toolchains across coding, building, testing, packaging, releasing, configuring, and monitoring. Key principles include incorporating business needs, decomposing user stories methodically, and using clouds to improve computing. DevOps emerged from agile methodology and blends development and operations roles. Career paths can begin as system administrators who gain programming skills or developers who learn operations processes.
Indexes: The neglected performance all rounderMarkus Winand
The document discusses improper index use as a common cause of poor database performance. It argues that indexing is often treated as an administrative task rather than a development task, but developers do not fully understand how to properly use indexes. As a result, indexes are not designed to match the overall needs of an application's queries. The document advocates that indexing should be viewed as a design task and that developers need to more fully learn how to utilize indexes to improve performance.
DevOps Interview Questions Part - 2 | Devops Interview Questions And Answers ...Simplilearn
This presentation is about "DevOps interview questions" will take you through some of the most popular questions that you face in a DevOps interview. This video covers interview questions related to source code management, continuous integration, continuous testing, configuration management, containerization and continuous monitoring. "The DevOps Hiring Boom” claims that as many as 80 percent of Fortune 1000 organizations are expected to adopt DevOps by 2019. If you’ve started cross-training to prepare for development and operations roles in the IT industry, you know it’s a challenging field that will take some real preparation to break into. Here are some of the most common DevOps interview questions and answers that can help you while you prepare for DevOps roles in the industry. Learn and get a deeper understanding of these questions to set you apart from the crowd in this booming industry.
This "DevOps interview questions" presentation will answer the questions related to the topics mentioned below:
1. Configuration management - Chef, Puppet and Ansible
2. Containerization - Docker
3. Continuous monitoring - Nagios
Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery, and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
Learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
Write your Helm charts as a professional. Design templates and inheritance. B...Volodymyr Shynkar
Helm is a new templating tool for your applications. As with any other tool, it has thicks and hacks that you probably heard, but haven’t actually tried. In this lesson, we will review some of those approaches and also pass through different ways of deploying project workloads to the Kubernetes cluster.
DevOps is a set of practices intended to reduce the time between committing a change to a system and deploying it to production while ensuring high quality. It focuses on bridging the gap between developers and operations teams. Key principles of DevOps include systems thinking, amplifying feedback loops, and a culture of continuous learning and experimentation. DevOps aims to achieve lightning fast delivery through practices like continuous integration, deployment pipelines, infrastructure automation, and deployment strategies like blue-green deployments and canary testing.
The ability to grow (and shrink) according to the needs and the available resources is an essential part of designing applications. In this talk we'll cover the fundamental elements of scalability, including aspects involving people, processes and technology. With sound and proven principles and some advice on how to shape your organisation, set the right processes and design your application, this session is a must-see for developers and technical leads alike.
Why DevOps?
DevOps principles
DevOps concepts
DevOps practices
DevOps people
DevOps controls
DevOps training and further reading
Where do you start with DevOps?
1) LucidChart is a free online tool that allows users to create and collaborate on diagrams, flowcharts, and other visuals from a web browser.
2) The document provides tutorials and examples on how to sign up for LucidChart, create and share diagrams, work collaboratively, cite images, and publish diagrams.
3) LucidChart can be used to create various types of diagrams for educational purposes and aligns with standards for communication, collaboration, and digital citizenship.
Docker vs VM | | Containerization or Virtualization - The Differences | DevOp...Edureka!
** Edureka DevOps Training : https://www.edureka.co/devops **
This Edureka Video on Docker vs VM (Virtual Machine) video compares the Major Differences between Docker and VM. Below are the topics covered in the video:
1. What is Virtual Machine?
2. Benefits of Virtual Machine
3. What are Docker Containers
4. Benefits of Docker Containers
5. Docker vs VM – Main Differences
6. Use Case
Check our complete DevOps playlist here (includes all the videos mentioned in the video): http://goo.gl/O2vo13
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
dcVAST offers a complete managed services solution for Cohesity's hyperconverged data platform, including licensing, hardware, support and managed backup services. The Cohesity platform consolidates secondary data from backups, files and test/dev copies onto a scalable, globally deduplicated storage fabric. It provides simplified data protection with 15 minute recovery points and instant recoveries. dcVAST's managed backup service leverages Cohesity to reduce the impact of IT failures and simplify data protection.
This document compares Bicep and Terraform for infrastructure as code on Azure. It provides an overview of infrastructure as code, describes Terraform and its key principles like idempotency. Bicep is introduced as the native language for Azure Resource Manager templates that uses a simpler syntax than JSON. The document concludes that both tools can work with Azure but Bicep is tailored specifically for it while Terraform supports multi-cloud infrastructure management.
You will learn about source control principles and source control systems. You will also learn about Azure repositories, migrating strategies and authentication options.
Understand the concept of DevOps by employing DevOps Strategy Roadmap Lifecycle PowerPoint Presentation Slides Complete Deck. Describe how DevOps is different from traditional IT with these content-ready PPT themes. The slides also help to discuss DevOps use cases in the business, roadmap, and its lifecycle. Explain the roles, responsibilities, and skills of DevOps engineers by utilizing this visually appealing slide deck. Demonstrate DevOp roadmap for implementation in the organization with the help of a thoroughly researched PPT slideshow. Describe the characteristics of cloud computing, its benefits, and risks with the aid of this PPT layout. Utilize this easy-to-use DevOps transformation strategy PowerPoint slide deck to showcase the difference between cloud and traditional data centers. This ready-to-use PowerPoint layout also discusses the roadmap to integrate cloud computing in business. Highlight the usages of cloud computing and deployment models with the help of visual attention-grabbing DevOps implementation roadmap PowerPoint slides. https://bit.ly/3eFxYYr
Unique course notes for the Certified Kubernetes Administrator (CKA) for each section of the exam. Designed to be engaging and used as a reference in the future for kubernetes concepts.
Learn about the advantages of Docker technology, how it enables Informix users and developers to quickly start using Informix. Informix docker image available on docker hub requires no initial setup and/or configuration.
Docker allows applications to be packaged into standardized units called containers that can run on any infrastructure. IBM Bluemix supports Docker containers and provides services for building, managing, and hosting containerized applications in a hybrid cloud environment. Key benefits of Docker containers include increased portability and efficiency in development and deployment across physical and cloud infrastructure.
docker : how to deploy Digital Experience in a container drinking a cup of co...Matteo Bisi
This document discusses deploying IBM Social Software in Docker containers. It begins with introductions of the authors and their backgrounds. It then provides an overview of Docker, including its key components like Docker Engine, Machine, and registry. The document discusses using Docker to package and deploy IBM software like WebSphere Application Server and DB2. It provides a Dockerfile example for installing WAS 9 in a container through silent installation. The document concludes with links to additional Docker and IBM resources.
.docker : How to deploy Digital Experience in a container, drinking a cup of ...ICON UK EVENTS Limited
Matteo Bisi / Factor-y srl
Andrea Fontana / SOWRE SA
Docker is one of best technologies available on market to install and run and deploy application fastest , securely like never before. In this session you will see how to deploy a complete digital experience inside containers that will enable you to deploy a Portal drinking a cup of coffee. We will start from a deep overview of docker: what is docker, where you can find that, what is a container and why you should use container instead a complete Virtual Machine. After the overview we will enter inside how install IBM software inside a container using docker files that will run the setup using silent setup script. At last part we will talk about possible use of this configuration in real work scenario like staging or development environment or in WebSphere Portal farm setup.
IBM Bluemix Paris Meetup #14 - Le Village by CA - 20160413 - Introduction à D...IBM France Lab
This document discusses Docker and how IBM uses Docker for ODM (Operational Decision Management). Some key points:
- Docker allows decoupling applications from the underlying infrastructure and providing consistent runtime environments and operations.
- IBM leverages Docker for ODM on Cloud, running ODM in Docker containers on a predefined set of VMs managed by Docker Swarm.
- Internally, IBM is working to Dockerize existing ODM runtimes by running product components like RES and Decision Center in separate Docker containers connected via REST APIs. This aims to provide a homogeneous software delivery, topology and operations using Docker.
IBM WebSphere Application Server traditional and DockerDavid Currie
IBM WebSphere Application Server can run in both traditional and Docker environments. Docker provides benefits like consistency across environments, faster build and deployment, higher server density, and separation of concerns between development and operations. IBM supports WebSphere Liberty and traditional editions running in Docker containers. Dockerfiles are available to build WebSphere images containing application servers, deployment managers, and other software components. Organizations can use Docker to improve the deployment and management of WebSphere environments.
.docker : how to deploy Digital Experience in a container drinking a cup of c...Andrea Fontana
This document discusses deploying digital experiences using Docker containers. It provides background on Docker, describing it as a way to package and ship software applications. It outlines key Docker components like the Docker Engine, Docker Machine, and Docker Registry. It then discusses how IBM supports Docker, including on platforms like Bluemix, zSystems, and PureApplication. Finally, it provides guidance on creating Docker images for IBM social software, covering preparing installations scripts and using Dockerfiles to automate the image creation process.
Preparing your dockerised application for production deploymentDave Ward
You’ve got your application dockerised for development. That process is working smoothly, and you’re gaining a lot of the benefits that docker gives you - environments are trivial to setup, independent of platform, and they are consistent for everyone on your team.
How do you go about taking the next step so that your application is deployed into a scalable and reliable production setup?
How do you create deployment artefacts which are built with consistency and transparency? How do you manage environment variables between staging and production environments? How do you perform actions / schedule processes in one environment and not another?
In this talk we will discuss what you need to do to get your dockerised application ready for deployment into a production environment.
Docker, how to use it. organize a meeting with IBM products...Andrea Fontana
The document provides information about Docker and how it can be used with IBM software and products. It discusses what Docker is, its key components like Engine, Machine and Registry. It also summarizes how Docker can be used to package, ship and run applications in lightweight containers across different environments. The document mentions that IBM supports Docker installation for products like DB2, Websphere Application Server, and provides Docker images on Docker Hub. It also discusses how Docker can be used with IBM products and services like Bluemix, PureApplication System, and for developing IBM Social software.
This document provides a walkthrough for deploying applications using Docker containers. It explains that Docker allows building, testing, and deploying applications in standardized container units. OpenShift builds on Docker and Kubernetes to make container deployment accessible to developers. The document demonstrates building a Docker image from a Dockerfile and using docker-compose to run multi-container applications defined in a compose file. It provides Indico as an example and deploys it using these Docker tools.
This document provides a walkthrough of container deployment using Docker. It discusses what Docker and containers are, and how tools like Docker Hub, Dockerfile, and docker-compose can be used to build, run, and manage containerized applications. Specifically, it demonstrates building a containerized Indico application using these tools.
From VMs to Containers: Introducing Docker Containers for Linux and Windows S...Ido Flatow
This document introduces Docker containers as an alternative to virtual machines for deploying applications. It discusses how containers provide a lightweight method of virtualization compared to VMs. The key Docker concepts of images, containers, registries and Dockerfiles are explained. Examples are provided of building and running containers on both Linux and Windows. The document also outlines how Docker can be used across the development, testing and production environments and integrated with continuous integration/delivery pipelines.
Docker is a tool designed to make it easier to create, deploy, and run applications
by using containers. Containers allow a developer to package up
an application with all of the parts it needs, such as libraries and other dependencies,
and ship it all out as one package. By doing so, thanks to the
container, the developer can rest assured that the application will run on
any other Linux machine regardless of any customized settings that machine
might have that could differ from the machine used for writing and testing
the code.
In a way, Docker is a bit like a virtual machine. But unlike a virtual
machine, rather than creating a whole virtual operating system, Docker allows
applications to use the same Linux kernel as the system that they’re
running on and only requires applications be shipped with things not already
running on the host computer. This gives a significant performance boost
and reduces the size of the application.
This document provides an introduction to Docker, including:
- Docker allows developers to package applications with all dependencies into standardized units called containers that can run on any infrastructure.
- Docker uses namespaces and control groups to provide isolation and security between containers while allowing for more efficient use of resources than virtual machines.
- The Docker architecture includes images which are templates for creating containers, a Dockerfile to automate image builds, and Docker Hub for sharing images.
- Kubernetes is an open-source platform for automating deployment and management of containerized applications across clusters of hosts.
Container technology is shaping the future of software development and is causing a structural change in the cloud-computing world. Developers are embracing container technology and enterprises are adopting it at an explosive rate. Containers are portion of "IT" in technology as they're a very powerful tool which streamline your development and ops processes, save company's money & make life for developers much easier.
The document outlines the agenda for the OpenStack Summit in November 2013, including presentations on Docker and its ecosystem, how Docker can be used with OpenStack and Rackspace, and a demonstration of cross-cloud application deployment using Docker. Docker is presented as a solution to the "matrix from hell" of running applications across different environments by providing lightweight, portable containers that can run anywhere regardless of the operating system. The summit aims to educate attendees on Docker and showcase its integration with OpenStack for simplified and efficient application deployment and management across multiple clouds.
This document provides an overview of Docker and the author's experience. It discusses key Docker concepts like images, containers, the Dockerfile and Docker Engine. It also summarizes Docker benefits like portability, scalability and efficiency. Components like Docker Hub, Docker Machine and orchestration tools are briefly introduced. Security considerations and using Docker in production are also mentioned.
Docker is a system for running applications in lightweight containers that can be deployed across machines. It allows developers to package applications with all dependencies into standardized units for software development. Docker eliminates inconsistencies in environments and allows applications to be easily deployed on virtual machines, physical servers, public clouds, private clouds, and developer laptops through the use of containers.
Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013dotCloud
The document outlines the agenda for the OpenStack Summit in November 2013. The agenda includes sessions on Docker and its ecosystem, using Docker with OpenStack and Rackspace, and a cross-cloud deployment demo. Docker is presented as a solution for developing and deploying applications across multiple environments by encapsulating code and dependencies in portable containers. It can help eliminate inconsistencies between development, testing, and production environments.
Docker-Hanoi @DKT , Presentation about Docker EcosystemVan Phuc
The document provides an overview of Docker Platform and Ecosystem. It begins with introductions and background on Docker, explaining how Docker solves the problem of dependency hell and portability issues by allowing applications to run in isolated containers that package code and dependencies. It then discusses key components of Docker including Engine, Registry, Machine, Swarm, Compose and tools like Toolbox and Cloud. The document concludes with examples of using Docker for continuous integration pipelines and microservices architectures.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
2. Docker Engine
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• Open source project
• Supported on every major OS – Linux, Windows, MacOS
• Client-server architecture with daemon deployed on physical or virtual host
• Uses host OS groups and namespaces for process resource management and isolation
• Uses copy-on-write filesystem for git-like image change management
A portable, lightweight application runtime and packaging tool built on top of
kernel container primitives
Build Ship Run
Docker Engine
3. Containers
3
App
A’ Host OS
Server
Bins/Libs
App
A
App
B
App
B’
App
B’
App
B’
Container
What is a Container
• An isolated user space within a running Linux OS
• Shared kernel across containers
• Direct device access
• All packages and data in an isolated run-time, saved as a filesystem.
• Resource management implemented with cgroups
• Resource isolation through namespaces
Run
Bins/Libs
4. Docker Hub
• Enable sharing and collaboration of Docker Images
• Private and public repositories of images
• Certified base images by ISVs
4
Ship
Docker Hub
$ docker push $ docker pull
5. Informix on Docker Hub
https://hub.docker.com/r/ibmcom/informix-innovator-c/
•IBM Informix Innovator-C Edition
•Free database for limited production use
•12.10.FC8
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Docker Hub
$docker pull ibmcom/informix-innovator-c
6. Informix on Docker Hub
https://hub.docker.com/r/ibmcom/informix-developer-database/
• IBM Informix Developer Edition
• Fully featured
• Free database for non-production use
• 12.10.FC8
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Docker Hub
$docker pull ibmcom/informix-developer-database
7. Why develop in Docker?
• Build once… run anywhere [Docker motto]
• A safe, hygienic, portable environment
• Like aVM… much smaller, without the overhead of aVM
• Eliminate platform dependency
• Consistent environment for development, testing, and integration
• Easy to modify or customize
• Save and publish your own images
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8. Why Informix on Docker Hub?
• No product download
• No installation
• No configuration
• Informix is ready with all the APIs exposed
• Start app development out of the box… err out of the container!
• Easy to customize
• Build your own Informix docker images from scratch!
https://github.com/IBM-IoT/informix-dockerfiles
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9. Convinced? Get started!
• Install and run Docker engine
https://docs.docker.com/engine/installation/
• Pull the Informix image
https://hub.docker.com/r/ibmcom/informix-developer-database/
• Run Informix in a container
• Customize the container as needed
• Start creating your application
https://github.com/ibm-informix/informix-client-examples
• Save and publish to a private repository
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