DevOps Practices @Pipedrive
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This document discusses DevOps practices at Pipedrive, including: 1. Pipedrive has 150 software engineers and 20 infrastructure/quality engineers who use various technologies like Docker, Terraform, and Chef. 2. Their development environment uses Docker to provision developer environments quickly and reliably. Code is deployed through Jenkins to multiple environments and regions with automated testing at each stage. 3. Over 2017 they deployed over 70,000 times across 154 containerized services with a high success rate of deployments to production. Areas for continued improvement include automated rollbacks and improving visibility.
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DevOps Days Boston 2017: Developer first workflows for Kubernetes
Kubernetes is a powerful, operational platform for containerized applications. However, the developer workflow on Kubernetes – how you code, deploy, update, and monitor your services – is much less mature.
How should you lay out your Git repo? How do you create loosely coupled services? How do you support deploying your service at any time?
In this talk, we’ll talk about these questions and more. We’ll discuss the journey towards a rapid development workflow, discuss best practices, and, talk about the process we followed to get to a rapid development workflow.
DevOps Days Boston 2017
Docker and Puppet for Continuous Integration
Today developers want to change the code, build and deploy often, even several times per day.
New versions of software may need to be tested on different distributions, and with different configurations.
Achieving this with Virtual Machines it’s possible, but it’s very resource and time consuming. Docker provides an incredibly good solution for this, in particular if combined with Continuous Integration tools like Jenkins and Configuration Management tools like Puppet.
This presentation focuses on the opportunities to configure automatically Docker images, use Docker containers as disposable workers during your tests, and even running your Continuous Integration system inside Docker.
Drupal 8 DevOps . Profile and SQL flows.
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Continuous Delivery with Docker and Amazon ECS
- The document outlines best practices for using containers in continuous delivery solutions with Docker and Amazon ECS, including using containers to provide predictable environments, fast feedback, and quick feature rollouts.
- It demonstrates a development and deployment workflow using AWS CodeCommit for source control, Jenkins for builds and testing, and Amazon ECS for deployment, with CodePipeline automating the workflow.
- Live demos were presented showing building and deploying a Rails application using Docker Compose locally and on Amazon ECS, running tests with Jenkins, and integrating the stages with AWS CodePipeline.
How (and why) to roll your own Docker SaaS
SkyDock is an open source solution for building & hosting Docker images at scale in the cloud. Designed to solve real-world problems faced in traditional CI systems that limit throughput and hinder your ability to deliver software quickly and reliably.
From a Skyscanner Engineering perspective this is a great opportunity to showcase some of the cutting edge work that we are doing with Docker, Ansible and AWS. It also highlights that we are solving problems at scale from a both a technical and organisational perspective.
Extensible dev secops pipelines with Jenkins, Docker, Terraform, and a kitche...
Extensible dev secops pipelines with Jenkins, Docker, Terraform, and a kitche...Richard Bullington-McGuire
Have you ever needed to wrestle a legacy application onto a modern, scalable cloud platform, while increasing security test coverage? Sometimes real applications are not easily stuffed into a Docker container and deployed in a container orchestration system. In this talk, Modus Create Principal Architect Richard Bullington-McGuire will show how to compose Jenkins, Docker, Terraform, Packer, Ansible, Packer, Vagrant, Gauntlt, OpenSCAP, the CIS Benchmark for Linux, AWS CodeDeploy, Auto Scaling Groups, Application Load Balancers, and other AWS services to create a performant and scalable solution for deploying applications. A local development environment using Vagrant mirrors the cloud deployment environment to minimize surprises upon deployment.What's New in Docker - February 2017
This document provides an overview of Container as a Service (CaaS) with Docker. It discusses key concepts like Docker containers, images, and orchestration tools. It also covers DevOps practices like continuous delivery that are enabled by Docker. Specific topics covered include Docker networking, volumes, and orchestration with Docker Swarm and compose files. Examples are provided of building and deploying Java applications with Docker, including Spring Boot apps, Java EE apps, and using Docker for builds. Security features of Docker like content trust and scanning are summarized. The document concludes by discussing Docker use cases across different industries and how Docker enables critical transformations around cloud, DevOps, and application modernization.
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Devops with Python by Yaniv Cohen DevopShift
This document discusses implementing DevOps with Python using Ansible. It provides an agenda for the presentation including discussing DevOps hotspots, infrastructure as code with Ansible, continuous integration/continuous delivery (CI/CD) using TravisCI and CircleCI, and an open discussion on monitoring and automated tests. It then covers problems commonly faced, how DevOps solves these problems, and the expected benefits of adopting a DevOps culture including standardized environments, infrastructure as code, automated delivery, monitoring, and improved collaboration. It provides an overview of Ansible concepts like inventories, ad-hoc commands, modules, playbooks, roles, and templates. It also demonstrates writing a custom Python module for Ansible and using it in a playbook. Finally, it
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Jenkins as a Service
1) The document describes how a PaaS provider implemented continuous integration as a service at scale for over 700 .NET repositories using a Cake-based approach with common scripts and interfaces.
2) Common Cake scripts were developed and stored in a master repository to enable centralized management of CI/CD processes and deployment of repositories on demand.
3) Additional features like static code analysis, Slack notifications, and custom dashboards were integrated to provide visibility and monitoring across all repositories.
4) While Cake covered around 30% of repositories initially, additional adoption of Jenkins pipelines increased coverage to 70% by automating more common processes.
5) The provider aims to further improve automation and hide complexity by never exposing
Priming Your Teams For Microservice Deployment to the Cloud
You think of a great idea for a microservice and want to ship it to production as quickly as possible. Of course you'll need to create a Git repo with a codebase that reuses libraries you share with other services. And you'll want a build and a basic test suite. You'll want to deploy it to immutable servers using infrastructure as code that dev and ops can maintain. Centralised logging, monitoring, and HipChat notifications would also be great. Of course you'll want a load balancer and a CNAME that your other microservices can hit. You'd love to have blue-green deploys and the ability to deploy updates at any time through a Continuous Delivery pipeline. Phew! How long will it take to set all this up? A couple of days? A week? A month?
What if you could do all of this within 30 minutes? And with a click of a button soon be receiving production traffic?
Matt introduces "Primer", Expedia's microservice generation and deployment platform that enables rapid experimentation in the cloud, how it's caused unprecedented rates of learning, and explain tips and tricks on how to build one yourself with practical takeaways for everyone from the startup to the enterprise.
Video: https://www.youtube.com/watch?v=Xy4EkaXyEs4
Meetup: http://www.meetup.com/Devops-Brisbane/events/225050723/
O'Reilly Software Architecture Conference London 2017: Building Resilient Mic...
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Fluo CICD OpenStack Summit
This document describes eBay's use of Fluo for continuous integration and deployment using OpenStack. Fluo provides a single interface for configuring, building, testing, and deploying code changes. It provisions instances on OpenStack to run tasks defined in a configuration file like running tests, building packages, and deploying code. Fluo replicates code, packages, and configuration management code across regions and datacenters. It supports common workflows from code review through integration testing, releases, and periodic jobs. Fluo aims to provide a fully automated and scalable continuous delivery system to deploy code changes to eBay's global infrastructure on OpenStack.
HOW TO DRONE.IO IN CI/CD WORLD
eugene.starchenko@gmail.com
https://github.com/eugenestarchenko
Cloud Engineer
@ AWS Meetup Kiev #4
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.
Cloud Native Engineering with SRE and GitOps
1) The presentation introduced Brice Fernandes and Sebastian Bernheim from Weaveworks and discussed their roles as customer reliability engineers.
2) It provided an overview of Weaveworks' approach to enabling GitOps across the Kubernetes landscape through open source projects and consulting services.
3) Key SRE practices like embracing risk, establishing service level objectives, automating processes, and implementing deliberate release engineering were shown to be well-aligned with a GitOps model for Kubernetes management.
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DevOps Days Boston 2017: Developer first workflows for Kubernetes
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DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
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DevOps Practices @Pipedrive
- 1. DevOps practices @Pipedrive Renno Reinurm DevClub.ee 25.01.18
- 2. Before we do deep dive in Engineering organization: ● 10 infrastructure engineers ● 10 quality automation engineers ● 150 software engineers Key words: ● Automation ● Visibility ● Self service
- 3. Technical stack Rackspace private cloud and AWS Terraform to provision infrastructure resources Chef for OS configuration management Docker Enterprise Edition (Docker Swarm on steroids)
- 4. Technical stack 2 NewRelic Consul Graylog Zabbix, Prometheus with Grafana dashboards Mysql, MongoDB, CouchDB, Redis, McRouter Slightly more than 150 containerized in-house developed micro/macro services (NodeJS, PHP, Golang, Python)
- 5. Development environment Early days we used Vagrant + chef combo Average provisioning process took 30minutes with success ratio 50% Compared to Dockerized dev-env setup ~5min with success ratio 95%
- 6. Development environment (2) Contains required infrastructure to use Pipedrive framework for (micro-)services: Consul Registrator Nginx Internally developed api gateway. Several must have product components Demo...
- 7. Development of microservice Classical project needs few steps to get up and running: ● Get the code - git .. ● Fetch libraries - for example npm install in case of Nodejs ● Start containers - docker-compose up
- 8. Deployment of code (very simplified) 1. Add label ‘ready-for-deploy’ to pull request in Github 2. In-house developed automation Rakett a. Merges master -> branch 3. Jenkins [ staging -> us-live -> eu-live -> sandboxes] a. Build project into Docker image [staging] b. Run unit-test suite [staging] c. Deploy image to own sandbox with mocked services and run functional test-suite [staging] d. Upload Docker image to Docker HUB [staging] e. Deploy image to UCP cluster with `docker stack deploy` command [all] f. And just in case run more tests with full integration test-suite [staging] i. Or run small test-suite with smoke tests [*-live] g. Send results to our statistics/reporting systems 4. If us-live success deployment synchronization takes over and delivers code to other regions/sandboxes
- 9. Statistics since 2017 Live + staging regions: 3 + 3 Sandboxes: 15 Number of Dockerized services 154 Overall deployments and tests 71449 Successful deployments 61330 Successful deployments to live 15602
- 11. Come and experience yourself We still have lot of challenges: Automated rollbacks Keeping CI/CD processes stable and fast is constant battle Visibility improvements UX
- 12. More questions? Thank you! Give me your feedback: @rreinurm
Editor's Notes
- demo
- Demo