Advanced Code Flow, Notes From the Field
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This document discusses the use of CI/CD (continuous integration and continuous delivery) pipelines to safely and quickly deliver code from development to production. It outlines the tools used, including BitBucket, Jenkins, Docker, and Mesos. It describes build conventions and how the build infrastructure is scaled horizontally. The deployment flow and types of operations like deploy, start, stop, and restart are explained. Auto healing, saving money, and the need for a PAAS platform are also covered. Build and deployment demos are included to demonstrate the workflows.
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This document summarizes Docker's experience dogfooding Docker Enterprise Edition 2.0 which focuses on Kubernetes. Key aspects covered include planning the migration process over several months, preparing infrastructure to support both Swarm and Kubernetes workloads, upgrading control plane components, and migrating select internal applications to Kubernetes. Benefits realized include leveraging Kubernetes features like pods, cronjobs, and the ability to provide feedback that improved the product before general release.
Web technologies for desktop development
This document discusses using web technologies like HTML5, CSS, and JavaScript to build desktop applications. It outlines several frameworks for creating hybrid desktop apps, including Adobe Air, Qt, Chrome Apps, and node-webkit. Node-webkit uses the Chromium rendering engine and allows developers to build desktop apps using HTML, CSS, JavaScript, and Node.js modules. The document provides an overview of node-webkit's capabilities like multi-platform support, debugging tools, native element access, and code packaging. It also gives examples of companies using node-webkit and popular projects that demonstrate its features.
Hybrid CI/CD with Kubernetes and Codefresh
Even though the public cloud has changed the way companies deploy and run applications, there are several cases (finance/healthcare) where all services of an organization are running in secure on-premise datacenters behind strict firewalls, in remote storefronts, or even in mobile locations with low connectivity. In this webinar, we will see how you can include these secure and remote services in your CI/CD pipelines, without compromising security and without opening firewall ports. We will use Codefresh and the new Codefresh Runner that can run wherever your clusters live.
CloudBees Jenkins and Pivotal Cloud Foundry - Continuous Delivery for Cloud N...
This document provides an overview of Continuous Delivery for Cloud Native Applications using the CloudBees Jenkins Platform for Pivotal Cloud Foundry. It introduces the speakers and their backgrounds. The agenda includes an introduction to CloudBees and the Jenkins Platform, a demo of a continuous delivery pipeline deploying an application to Pivotal Cloud Foundry, a deep dive into integrating the Jenkins Platform with Pivotal Cloud Foundry, and managing Jenkins through Pivotal Ops Manager and CloudBees Jenkins Operations Center.
DevSecOps - Security in DevOps
Talk held October 5th 2020 at the WeAreDevelopers.com Live week
Recording: https://youtu.be/_4rXBsp6K1I?t=7527
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
DevOpsDays Taipei 2017 從打鐵到雲端
從打鐵到雲端 - 架構適應與變遷
歷經了 2 年創業時間、3 次主機遷移、4 代架構改造，技術變革與容器編排工具的快速演進，影響了每一次架構改進的切入角度。
從 Bare metal 到 Public Cloud；從單機 Docker、Docker Swarm 到 Kubernetes。每一代複雜的業務需求考量、解決方案的選用與抉擇、資源不全的過渡時期，都是滿滿的辛酸血淚。
而當漸漸面對全球流量時，隻身一人的後台，又該如何以小搏大來面對？讓我們看下去。
Introduction to Modern DevOps Technologies
This document provides an introduction to modern DevOps technologies. It discusses DevOps concepts like source code management using Git, different methods of deploying programs including using bare metal servers, virtualization, containers, and cloud functions. Specific container and container orchestration technologies like Docker and Kubernetes are explained. Continuous integration and continuous delivery (CI/CD) practices are also introduced. The presentation includes an agenda with slides on these topics and ends with a question and answer section and announcement of a Docker workshop to deploy an HTTP server container.
The App Developer's Kubernetes Toolbox
Nebulaworks invited Bitnami's software engineer, Adnan Abdulhussein to present on, "The App Developer's Kubernetes Toolbox."
Details:
If you're developing applications on top of Kubernetes, you may be feeling overwhelmed with the vast number of development tools in the ecosystem at your disposal. Kubernetes is growing at a rapid pace, and it's becoming impossible to keep up with the latest and greatest development environments, debuggers, and build test and deployment tools.
Learn:
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• Comparison of shared and local Kubernetes development environments
• Overview of different development tools in the ecosystem
• Which tools make sense in common scenarios
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Web後端技術的演變
This document discusses the evolution of web backend technologies. It covers the history and concepts of infrastructure as code, immutable infrastructure, blue-green deployments, and canary deployments. It also discusses tools for physical delivery, virtual machines, configuration management, continuous integration/delivery, Docker, and Kubernetes. Kubernetes makes it easy to implement infrastructure as code practices and deployment strategies like blue-green and canary deployments through features like deployments and services.
DCEU 18: Building Your Development Pipeline
This document discusses building a development pipeline using containers. It outlines using containers for building images, automated testing, security scanning, and deploying to production. Containers make environments consistent and reproducible. The pipeline includes building images, testing, security scanning, and promoting images to production. Methods discussed include using multi-stage builds to optimize images, leveraging Buildkit for faster builds, and parallel testing across containers. Automated tools are available to implement rolling updates and rollbacks during deployments.
It's a Breeze to develop Apache Airflow (Apache Con Berlin)
his talk is about tools and mechanism we developed and used to improve productivity and teamwork in our team (of 6 currently) while developing 70+ operators for Airflow over more than 6 months.
We developed an "Airflow Breeze" simplified development environment which cuts down the time to become productive Apache Airflow developer from days to minutes.
It is part of Airflow Improvement Proposals:
AIP-10 Multi-layered and multi-stage official Airflow image
AIP-7 Simplified development workflow
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OSDC 2018 | Three years running containers with Kubernetes in Production by T...
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Docker on docker leveraging kubernetes in docker ee
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Kafka ops-new
This document provides an overview of Kafka including basic concepts like topics, brokers, and partitions. It discusses how to install and run Kafka, configure topics and clusters, and monitor and troubleshoot Kafka. It also demonstrates producing, consuming, and loading test scenarios. Key lessons learned are around balancing replication, partitions, and leaders across brokers while ensuring adequate disk space, IOPS, and retention periods. Automating cluster changes and backing up messages is also recommended.
Docker appsflyer
This document discusses why Docker was chosen for an organization's infrastructure, how it is being used and controlled, and the security measures in place. Docker was selected because it provides isolated environments through immutable images, has an easy to use API, a large community, and facilitates faster deployment and portability. The organization controls Docker services through its deployment system which defines who can deploy, what operations are allowed, includes flow control and auditing. Security measures implemented include MFA, image scanning, private registries, vault for secrets, VPC configuration, and AWS security groups.
Practical Monitoring Techniques
The document discusses practical monitoring techniques including current tools used like Collectd, Sensu, New Relic, Grafana, and PagerDuty. It covers increasing coverage by automatically collecting metrics and alerts for new instances. Other topics include on-call schedules, automatic self-healing, bots and alerts channels, an events dashboard, accessibility of monitoring tools, and best practices like automating monitoring, sharing responsibilities, and automating healing when possible.
Consul
Consul is a service discovery tool that allows services to register themselves and discover other services via a distributed key-value store. It provides service discovery, health checking, and distributed configuration management. Consul works by having Consul agents that gossip and use the Raft consensus protocol to maintain a consistent key-value store across datacenters. Clients can access services via HTTP endpoints to register services, discover health checks, and access the key-value store.
sensu
This document provides an overview of Sensu, an open source monitoring tool. It discusses what needs to be monitored at AppsFlyer, why Sensu was chosen, Sensu's architecture and configurations, defining alerts and checks, the metrics flow, the Sensu API, and the Uchiwa dashboard. Sensu allows AppsFlyer to monitor hundreds of instances and services for liveliness and metrics, scales properly for their needs, and provides a simple and flexible way to monitor their growing infrastructure and applications.
devopstools
This document discusses the evolution of DevOps tools at AppsFlyer. It notes that AppsFlyer processes around 4.9 billion events per day across 120 services running on elastic computing resources. It has a single development team of 25 people that builds tools to meet operational needs, extend existing tools, learn new technologies, and improve collaboration between development and operations teams. Two examples of internally developed tools that will be demonstrated are Sniffer, a mapping tool, and Sensu Reports, which aggregates reports from the Sensu monitoring system.
kafka
This document discusses the evolution of Kafka clusters at AppsFlyer over time. The initial cluster had 4 brokers and handled hundreds of millions of messages with low partitioning and replication. A new cluster was designed with more brokers, replication across availability zones, and higher partitioning to support billions of messages. However, this led to issues like uneven leader distribution and failures. Various solutions were implemented like increasing brokers, splitting topics, and hardware upgrades. Ongoing testing and monitoring helped identify more problems and improvements around replication, partitioning, and automation. Key lessons learned included balancing replication and leaders, supporting dynamic changes, and thorough testing of failure scenarios.
Bouncer
Bouncer is a reverse proxy that provides authentication and authorization for microservices. It aims to keep authentication and authorization centralized while enabling service discovery and distributed routing. Bouncer questions seek to understand its objectives of providing authentication, authorization, service discovery, and distributed routing for microservices in a centralized manner.
Devopstools
This document discusses the evolution of DevOps tools at AppsFlyer and provides examples. It notes that AppsFlyer processes around 4.9 billion events per day across 120 services running on elastic infrastructure with dozens of daily deployments and a team of 25 developers. The one team philosophy motivates building internal tools to meet operational needs, extend existing tools, learn new technologies, and improve collaboration between development and operations. Considerations for new tools include needs, usability, audience, maintenance, and time constraints. Examples given are a mapping tool called Sniffer, aggregated monitoring reports from Sensu, and an authentication system called Bouncer.
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Docker tlv
This document discusses how a company uses Docker, Docker private registries, Consul for service discovery, and Mesos/Marathon to deploy and manage applications at scale. It outlines the challenges of high traffic, data integrity, and fast growth that necessitated these tools. It provides an overview of how Dockerfiles are created and managed, how Consul integrates with DNS to enable service discovery, and how Mesos and Marathon abstract compute resources and enable deploying Docker containers across a cluster.
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Overview
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Advanced Code Flow, Notes From the Field
- 1. Advanced Code Flow, Notes From the Field
- 2. Today's Talk ● The goal for using CI/CD ● Our CI/CD tools set ● Building conventions ● Builds flow ● Scaling the build infrastracture ● Build demo ● How we deploy ● Additional operations in deployment process ● Auto Healing ● Saving Money ● The need for PAAS ● Deploy Demo
- 3. The Goal For Using CI/CD Deliver code safe & fast from SVC to production
- 4. Tools Set ● BitBucket ● Jenkins ● Docker ● Registry ● Consul ● RabbitMQ ● Mesos ● Redis ● And some code...
- 5. Conventions
- 6. Examples ● Projects Names: py-appsflyer-backoffice, Node- af-dashboard-data ● Projects Modes: clicks,launches,etc... ● Instance names: webh-20001-001-prod ● Container names: afwebhandler_webh-20001- 001-prod.eu1.appsflyer.com
- 7. Build Flow
- 8. Scaling/HA of the build infrastructure ● Jenkins ● Builders ● Rabbit ● Redis ● Registry Active/passive master + horizontal scaled slaves Scale out docker builders cluster Rabbit cluster for HA Master/Slave Redis with sentinel for auto switch over Active/passive with automatic switch over
- 10. Deploy Flow
- 11. Types Of Operations ● Deploy ● Start ● Stop ● Restart ● Revert ● Build/Deploy Branch ● The above actions on specific instances ● The above actions on several modes ● Deploy to Mesos ● And more…
- 12. Auto Healing
- 13. Saving Money
- 15. The Needs for PAAS ● Easier for branch testing ● Smoother testing→staging → production flow ● Ideal for small applications ● Faster delivery ● More dynamic ● Less configurations ● Potential for better utilization
- 16. Questions?