Model Driven SDLC using Docker #gopaddle #dockermeetup
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The document discusses model driven software development lifecycle (SDLC) using Docker. It describes using models for requirements, design, testing, and composition. Models are used to define services, dependencies, build processes and deployment configuration. The SDLC can be implemented from the models using forward or reverse engineering to generate Dockerfiles, images and docker-compose files to build, test and deploy applications as containers.
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Configuration Management, including techniques such as environment variable injection, externalized configuration files, and configuration overrides
Following the release of the Docker Init command, this presentation will provide insights into the possibilities and advantages it brings to complex products Docker deployment process. A PoC of a Docker Plugin, including this product-oriented approach for docker init, will be demoed live. >> Note that the Open Source Alfresco product is used only to explain the concepts of building a Docker Compose generator with a real example.
Docker & aPaaS: Enterprise Innovation and Trends for 2015
WaveMaker Webinar: Cloud-based App Development and Docker: Trends to watch out for in 2015 - http://www.wavemaker.com/news/webinar-cloud-app-development-and-docker-trends/
CIOs, IT planners and developers at a growing number of organizations are taking advantage of the simplicity and productivity benefits of cloud application development. With Docker technology, cloud-based app development or aPaaS (Application Platform as a Service) is only becoming more disruptive − forcing organizations to rethink how they handle innovation, time-to-market pressures, and IT workloads.
[Codelab 2017] Docker 기초 및 활용 방안
1. Docker is a container platform that packages applications and dependencies to run seamlessly in any computing environment. It helps eliminate issues caused by differences in computing environments.
2. Kitematic provides a graphical user interface for Docker that makes it easy to run Docker containers without using the command line. It allows visually managing containers.
3. The Docker CLI can be used to run containers by pulling images from Docker Hub, a registry for Docker images, and using commands like docker run to launch containers from those images.
Introduction to Codenvy / JugSummerCamp 2014
This document provides an overview of Codenvy, an open source cloud IDE platform. It summarizes Codenvy's user base, products, company information, and key features. The document demonstrates Codenvy's dashboard, code editor, factory configuration, command line tool, SDK for extensions, and plugins for AngularJS and connecting to data sources.
HPC Cloud Burst Using Docker
This document discusses using Docker containers to deploy high performance computing (HPC) applications across private and public clouds. It begins with an abstract describing cloud bursting using Docker containers when demand spikes. The introduction provides background on Docker, a container-based virtualization technology that is more lightweight than hypervisor-based virtual machines. The authors implement a model for deploying distributed applications using Docker containers, which have less overhead than VMs since they share the host operating system and libraries. The system overview shows the process of creating Docker images of web applications, deploying them to containers on private cloud, and bursting to public cloud when thresholds are exceeded. The implementation details installing Docker and deploying applications within containers on the private cloud, then pushing the images
Getting Started with MariaDB with Docker
This document discusses deploying MariaDB databases with Docker from development to production. It recommends using Docker containers to encapsulate dependencies and isolate processes for easy deployment on-premise, in the cloud, or in hybrid environments. It highlights challenges like orchestration complexity and outlines requirements for data durability, self-discovery, self-healing, and application discovery of database clusters. It demonstrates building a Python/Flask app in Docker, deploying it to a Swarm cluster, and scaling the web tier behind HAProxy. It also shows deploying a 3-node Galera MariaDB cluster and 2-node MaxScale proxy for high availability.
Introduction to Docker - Vellore Institute of Technology
- The document introduces Docker, including what problem it solves for software development workflows, its key concepts and terminology, and how to use Docker to build, ship, and run containers.
- It compares Docker containers to virtual machines and discusses Docker's build process using Dockerfiles and images composed of layers.
- Hands-on demos are provided for running a first Docker container, building an image with Dockerfile, and using Docker Compose to run multi-container apps.
- Later sections cover Docker Swarm for clustering multiple Docker hosts and running distributed apps across nodes, demonstrated through a Raspberry Pi example.
Accelerate Your Automation Testing Effort using TestProject & Docker | Docker...
Accelerate Your Test Automation using TestProject & Docker
A recording of a live webinar hosted on May 17th, 2020 - Learn from Docker Captain Ajeet Singh Raina how you can leverage TestProject Agents running in Docker containers, easily setup virtual labs & run tests in parallel.
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- Why TestProject for Automation?
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- Why Docker?
- Why run TestProject Agents inside Docker containers?
- Live Demo
- Game with Prizes!
Docker Azure Friday OSS March 2017 - Developing and deploying Java & Linux on...
This document provides an overview of developing and deploying Java applications on Azure using Docker. It discusses using Docker to build Java applications, running containers, and deploying stacks. It also covers Docker Enterprise Edition, including subscriptions, certifications, and security features. Finally, it demonstrates using Docker on Azure, such as with Azure Container Service, and shows examples of building, running, and deploying Java applications with Docker.
Java in a world of containers
"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."
Java in a World of Containers - DockerCon 2018
This document discusses Java and containers. It begins with an introduction to Java's suitability for containers due to its managed runtime, hardware agnosticism, safety/security, reliability, and rich ecosystem. It then covers topics like creating Docker images from Java applications, building custom Java runtimes using jlink, and optimizing image sizes through multi-stage builds and smaller base images like Alpine Linux. The document also discusses features like class data sharing between containers using AppCDS, ahead-of-time compilation with jaotc, and how the JVM can honor Docker resource limits for CPU and memory. Overall it provides an overview of using Java in container environments and related tools and techniques.
Red Hat Forum Benelux 2015
This document discusses OpenShift v3 and how it can help organizations accelerate development at DevOps speed. It provides an overview of Kubernetes and OpenShift's technical architecture, how OpenShift enables continuous delivery and faster cycle times from idea to production. It also summarizes benefits for developers, integrations, administration capabilities, and the OpenShift product roadmap.
[20200720]cloud native develoment - Nelson Lin
There is no shortage now of development and CI/CD tools for cloud-native application development. But how do we put the cloud-native concept and think as the cloud-native way on the leftmost side of CI/CD pipeline.
During developing phrase, the tools provided with cloud code can help you expedite iteration of source codes, run and debug cloud native applications in an easy and fast way, making cloud-native development turn into real-time process, reduce the gap between deployment and development.
現在不乏用於雲原生應用程序開發的開發和 CI/CD工具。 但是，我們如何將雲原生概念放在的 CI/CD 流水線的最左側呢？
在開發階段，如何用 Cloud code 協助您加快原始碼的迭代速度，以簡便快捷的方式運行和調用雲原生應用程序，使雲原生開發變為即使過程，縮小開發與部署之間的差
Dockercon eu tour 2015 - Devoxx Casablanca
This document provides an overview of Docker and Michel Courtine's role at Docker Inc. It discusses Docker's mission to build tools for mass innovation and how Docker aims to enable a software layer to program the internet. It also highlights key Docker technologies like containers, images, and orchestration tools and how Docker is being used across various industries and platforms.
Considerations for operating docker at scale
"Scale" happens along 3 different aspects: (1) applications and their services scale up and down leading to (2) the infrastructure scaling up to meet the needs of the applications, and finally (3) sites scale across multiple locations, including movement to public cloud. In this session, we will talk about how Docker EE scales along all three of these dimensions to give you a consistent platform for running your applications:
1. At the application level: how do you manage application state & health along with resource and security constraints to scale containers up and down up in a controlled fashion?
2. The infrastructure level: as your application estate grows on the Docker EE platform you will need to scale across more nodes. How do automate the provisioning of these new nodes and how do you integrate the Docker EE platform layer with your existing infrastructure systems and tools.
3. Finally, we'll talk about distributed scale: how do you take what works for applications in one data center and spread it across multiple sites, in an integrated fashion so you can operate seamlessly?
Docker Timisoara: Dockercon19 recap slides, 23 may 2019
DockerCon 2019 took place in San Francisco, from April 29th to May 2nd.
Open Source @ Dockercon Summit took place Thursday, May 2nd.
Dockercon 2019 was a success with 5000+ participants. We are planning a recap Meetup to highlight overall announcements, new features & news from the event:,
- new CLI plugins announcement (docker app, docker buildx, docker pipeline etc);
- features of Docker Enterprise 3.0 ( assemble, template etc)
- takeaways; useful links, demos, tips and tricks and of course all videos from all the sessions
- cool stuff from the Open summit, like the powerful buildkit
- Demo: Multi-arch Docker Builds
Under this Meetup, we'll discuss news / new feature announcements during Dockercon and their implications for the ecosystem and end user. In addition to the DockerCon recap, we'll have the usual opportunities for networking and Q&A. We will look to answer any questions you have about Dockercon at this meetup.
We invite all of our members to come -- whether you're a beginner or an experienced user of containers. Don't forget to RSVP for this event so we can make sure we have plenty of place for everyone. Save the date for Docker Timisoara Meetup on May 23th @ CoWork The Garden!
Demystifying Docker101
This document provides an overview of Docker and microservices architecture. It begins with introducing the speaker and their experience with Docker. It then discusses the shift from monolithic to microservices architecture for building applications. Key advantages and disadvantages of monolithic and microservices approaches are outlined. The document dives into details of Docker, including what it is, how it works, and how it compares to virtual machines. Common Docker commands and concepts like images, containers, and Dockerfile are explained. Finally, the document demonstrates building and running Docker containers and microservices using Docker CLI, Docker Compose, and Docker Hub.
Demystifying Docker
This document provides an overview of Docker and how it addresses challenges with traditional monolithic application architectures. It begins with introductions to Docker and microservices architecture. Key points include:
- Docker allows building applications from loosely coupled microservices that can be developed and scaled independently.
- Docker containers leverage resource isolation using process virtualization for improved efficiency over virtual machines.
- The Docker architecture includes images constructed from layered filesystem changes and containers running instances of images.
- Docker Compose and Dockerfiles help define and build multi-container applications and microservices.
Introduction to Docker - VIT Campus
- The document introduces Docker, explaining that it provides standardized packaging for software and dependencies to isolate applications and share the same operating system kernel.
- Key aspects of Docker are discussed, including images which are layered and can be version controlled, containers which start much faster than virtual machines, and Dockerfiles which provide build instructions for images.
- The document demonstrates Docker's build, ship, and run workflow through examples of building a simple image and running a container, as well as using Docker Compose to run multi-container applications like WordPress. It also introduces Docker Swarm for clustering multiple Docker hosts.
WSO2Con EU 2015: Keynote - The Containerization of the Developer Workspace
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Efficient platform engineering with Microk8s & gopaddle.pdf
This document discusses the evolution of DevOps and platform engineering challenges. It introduces gopaddle as a low-code DevSecOps platform for Kubernetes that can provide automated multi-cloud provisioning, issue identification, and app release automation. Using MicroK8s and the gopaddle Lite addon allows setting up a platform in 15-20 minutes, improving efficiency and reducing time to develop and deploy microservices compared to traditional methods.
AWS ECS Quick Introduction
- ECS provides a way to run Docker containers on a cluster of Amazon EC2 instances. It consists of container instances, tasks, services, and a scheduler.
- A task definition specifies the details of a task/container such as name, image, memory requirements, and port mappings.
- A service keeps desired number of tasks running and provides load balancing using an ELB. It ensures tasks are rescheduled if they fail health checks.
- The launch process involves setting up security, IAM roles, container instances, task definitions, services, and pushing Docker images to ECR.
goPaddle Quick Introduction
goPaddle is a container-based software development lifecycle (SDLC) platform that can forward and reverse engineer applications in a portable manner across different infrastructure and platform clouds. It uses containers to improve application performance and reduce costs. The forward engineering process involves creating a blueprint, adding application artifacts, testing across clouds, and deploying. The reverse engineering process discovers existing applications and infrastructure, converts them to blueprints, and deploys them to clouds. goPaddle allows applications to be portable across cloud layers, vendors, and operating systems. It offers benefits like faster development, more application density, and no vendor lock-in.
Composite cloud & portable topologies
This document discusses composite cloud applications and portable topologies. It covers the business drivers for continuous delivery and microservices, including the limitations of monolithic applications. Containers and federated clouds allow for increased portability and composability. Service templates can be used to define portable application topologies that can be deployed across different infrastructure layers and cloud vendors. Dynamic composition of applications and services using templates is a vision for the future that is still maturing. Service templates combined with containers allow both legacy and modern applications to be modernized and made portable.
SDN for Hybrid Cloud
Gartner predicts that 50% of enterprises will adopt hybrid cloud by 2017 to meet business needs for continuity, expansion, and innovation. The Open Network Foundation defines key aspects of next-generation hybrid clouds like workload migration, replication between clouds, and dynamic network capacity provisioning. However, networks may not be ready for this hybrid model as they need to be cloud-ready with elastic, automated consumption-based capabilities to avoid over-provisioning costs or under-provisioning losses. SDN provides intelligent workload mobility between clouds through an SDN controller that can automate QoS policies during migration and dynamically provision virtual switches and data paths for an elastic, isolated control and data plane to enable DevOps for networks.
Continuous Multi-stack Deployments, PaaS & Containers as enablers
This document discusses continuous deployment using Platform as a Service (PaaS) and containers. It provides examples of how companies like Etsy and Facebook deploy updates continuously. It describes different types of PaaS and trends in PaaS including support for Docker containers by platforms like OpenShift, Google Compute Engine, AWS Elastic Beanstalk, and Red Hat. It demonstrates how to deploy a Docker container on AWS Elastic Beanstalk by creating a Dockerfile and Dockerrun configuration file.
vCloudSync – Hybrid disaster recovery for Openstack
This document discusses a proposed hybrid disaster recovery solution for OpenStack using VMware and object storage. The solution would backup VM disks to object storage like Swift, Amazon S3 or Google Storage for reliable, distributed storage. It would then use the VMware vCloud driver and OpenStack Cinder to restore disks back to VMware datastores. This provides backups across on-premise VMware and public clouds with reliability improvements over traditional backup methods. The proposed vCloudSync product would provide agentless, deduplicated backups to object storage along with migration between VMware and Google Compute Engine.
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Paper Link: https://eprint.iacr.org/2024/257
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This video focuses on integration of Salesforce with Bonterra Impact Management.
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Overview
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Key Topics Covered
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2. Understanding Edge (IoT)
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- 1. Model Driven SDLC using Docker Vinothini Raju Founder & CEO Bluemeric Technologies Pvt Ltd @vinothiniraju Bluemeric Technologies Pvt Ltd
- 2. SDLC Decide Analyse Design Implement Deploy Maintain Model or not to model ? commonalities & variabilities (requires user configs) (iterative) -> basic libs, Composable modules Makes use of languages, interpreters, runtimes etc versioning model + SOA Build, Distribute Bluemeric Technologies Pvt Ltd
- 3. User Requirement model Model based shift left testing Bluemeric Technologies Pvt Ltd User Requirements Design Module Unit testing Integ testing User Acceptance test Unit Model Design Model
- 4. Process Project Module Dockerfile Build Docker Hub Compose Deploy Project Module Dockerfile Container/ Cluster Define Bluemeric Technologies Pvt Ltd docker-compose.yml
- 5. Docker Model & Composition payments: build: our.repository.host/payments:prod ports: - "8081:8080" postgres: image: our.repository.host/postgres:prod expose: - "5432" Docker hub db: type: external host: 1.2.3.4 port: 5432 environment: POSTGRES_USER: produser POSTGRES_PASSWORD: prodpass Future: (add services run time) named containers —env / env-file —link catalog: build: our.repository.host/catalog:prod ports: - "8082:8080" links: - postgres web: build: our.repository.host/web:prod ports: - "8080:8080" links: - postgres - payments - catalog Bluemeric Technologies Pvt Ltd
- 6. Docker Swarm Docker Host Docker Host Docker Host Docker Cluster Bluemeric Technologies Pvt Ltd
- 7. Forward Engineering Bluemeric Technologies Pvt Ltd
- 8. Architect - Model payments: build: NA ports: - "8081:8080" postgres: image: our.repository.host/postgres:prod expose: - "5432" catalog: build: NA ports: - "8082:8080" links: - postgres web: build: NA web:prod ports: - "8080:8080" links: - postgres - payments - catalog docker compose.yml Bluemeric Technologies Pvt Ltd
- 9. Developer - Model web: build: DEFINE BUILD web:prod ports: - "8080:8080" links: - postgres - payments - catalog Install UnInstall Start Stop Application build Base Image Application Artifact - Dockerfile
- 10. Reverse Engineering • Bluemeric Technologies Pvt Ltd
- 11. Reverse Engineering (Cont) • Discover applications, ports & links • Capture applications & artifacts • Create Dockerfile • Create docker-compose spec Bluemeric Technologies Pvt Ltd
- 12. Compose Bluemeric Technologies Pvt Ltd + ModernLegacy
- 13. goPaddle - Container based SDLC Platform Bluemeric Technologies Pvt Ltd Improve collaboration Reproduce production issues Port applications across cloud layers Modernize legacy applications
- 14. goPaddle - Container based SDLC Platform Bluemeric Technologies Pvt Ltd
- 15. Riddle Time (Generate Docker Model) • Alfresco - open platform for business critical document management software. ami- e6f0f68e • Liferay - leading open source portal for the enterprise, offering content management, collaboration, and social out-of-the-box. ami-9ad8cff2 • Jasper Reports - open source java reporting engine, is Java based and doesn't have its own expression syntax. ami-54efbc3c • Railo - Open Source ColdFusion Markup Language (CFML) engine and the fastest CFML engine available. ami-fa84c092 • Roller - Java-based, full-featured, multi-user and group-blog server suitable for blog sites large and small. ami-f4f9ff9c Bluemeric Technologies Pvt Ltd Ref: #gopaddle-blrmeetup
- 16. Bluemeric Technologies Pvt Ltd #187, Pearl Wood, AECS Layout, A Block, Bangalore - 560037, India Telephone: +91-80-28540594 E-mail: info@bluemeric.io Web: http://bluemeric.com Twitter: @bluemeric Bluemeric Technologies Pvt Ltd Thanks !