Open Business Conference: Continuous Delivery At Netflix -- Powered by Open Source

The build engineering team at Atlassian uses Bamboo, Bitbucket Server, and HipChat to maintain full control over the entire software and infrastructure life cycles – from a customer raising an incident all the way through to deploying a fix. We're not a product team, but we've applied agile development practices to improve how we deploy infrastructure. Puppet and Bamboo help us automate everything, while Terraform and AWS let us treat our infrastructure as code, allowing for reviewed changes and easy scaling. In this talk I'll show you how the build engineering team has managed to stay the same size over the last few years while supporting both a 10x growth in the number of builds run in Atlassian and 2x growth in the number of developers in the company. You'll walk out understanding how you and your team can do the same. Products covered: JIRA Software, JIRA Service Desk, Confluence, HipChat, Bitbucket, Bamboo

Scaling Without Expanding: a DevOps Story

Visual Recognition with Anki Cozmo and TensorFlow - Deployed on IBM Cloud viaKubernetes and Apache OpenWhisk https://github.com/nheidloff/visual-recognition-for-cozmo-with-tensorflow http://heidloff.net/article/visual-recognition-for-cozmo-with-tensorflow https://twitter.com/nheidloff https://github.com/anki/cozmo-python-sdk https://codelabs.developers.google.com/codelabs/tensorflow-for-poets https://www.ibm.com/cloud https://openwhisk.apache.org

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Spinnaker Microsrvices

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ibmmobile

Are you someone who runs multiple stable Scrum teams, but is curious about migrating to Kanban? Do you think Kanban might lead to a loss of team control and productivity? Join me as I first discuss the pros and cons of Scrum and Kanban. Because whichever you choose, it should be for the right reasons. Next, I'll talk about how I used JIRA Software's powerful reports and metrics to migrate three Scrum teams to Kanban, without losing agility or control. I'll highlight some aspects of our migration: - Rituals - How to run metric driven planning meetings and retrospectives in a Kanban oriented team - Estimation - From point estimation to story consistency - Metrics - Fluency and cycle times for estimations Marcio Ghiraldelli, Senior Quality Engineer, Atlassian

Scrum Control or Kanban Agility? You Can Have both, Using Metrics

Docker is rapidly gaining mind-share amongst both operations and development teams. One of Docker's sweet spots is in the area of rapid development and testing. This talk will show how we use Docker containers to resolve dependency problems in tests, and how to integrate this workflow into a Bamboo continuous integration and deployment pipeline. This talk is for current Bamboo customers or those familiar with Bamboo who are interested in combining CI with Docker to it's fullest potential.

AWS re:Invent "The secrets to building and delivering amazing apps at scale"

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Cloud computing projects by inspire-groups (Pravin Hanchinal)

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Let's Program The Cloud

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Infrastructure as Code @BuildStuff2013

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Docker, Continuous Integration, and You

Swift is a robust language for mobile but cloud development opens the door to new opportunities for today's top app developers. Integrating projects to backend systems can sometimes be problematic, requiring new tools and skills. It doesn't have to be; end-to-end Swift opens the door to radically simpler app dev so we can all focus on the engagement. This session will describe the work that's been done to bring Swift to the server, both in terms of efforts in the Swift.org projects, and with implementation of server frameworks, and show you how you can quickly create and deploy applications with both server and client components. Presented by Chris Bailey at the Swift Summit, Nov 7th 2016

Pushing Swift to the Server

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Web Scale Applications using NeflixOSS Cloud Platform

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I Don't Test Often ...

Gareth Bowles

PagerDuty Summit 2016 Presenters: Bruce Wong, James Burns https://www.pagerduty.com/pagerduty-summit-2016/ Heard of Netflix' Chaos Engineering & the Simian Army? Google's legendary DiRT exercises? Hear about how Twilio is getting started on its journey with Chaos Engineering. This talk is the story of how Twilio got started with Chaos Engineering, lessons learned, and the impact to our engineering culture.

The Journey of Chaos Engineering Begins with a Single Step

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Embracing Failure - Fault Injection and Service Resilience at Netflix

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Release the Monkeys ! Testing in the Wild at Netflix

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Automated Fault Tolerance Testing

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Scaling the Cloud - Cloud Security

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AWS Re:Invent 2012 - Chaos Monkey & The Netflix Simian Army

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Can we inject failure scenarios into deployed systems to reduce platform risk? During this talk, demonstrations of the Simian Army, Chaos Lemur and Locust.io tools will be presented. We will go beyond reliability, stability and availability to help your platform operations team build a continuous process improvement program which will prepare your production systems for the unexpected. 92% of catastrophic system failures were the result of incorrect handling of nonfatal errors. It is simply not possible to fully reproduce the entire architecture and run an end to end test. Don't trust claims systems make about themselves & their dependencies. Verify by breaking.

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Run your Java apps on Cloud Foundry

Andy Piper

Presented at JAX London 2013 Public, private, and hybrid; software, platform, and infrastructure. This talk will discuss the current state of the Platform-as-a-Service space, and why the keys to success lie in enabling developer productivity, and providing openness and choice. We'll do this by considering the success of Open Source in general, look at the Cloud Foundry project, and find out why Cloud Foundry-based PaaSes are the best places to host your applications written in Java and other JVM-based languages.

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With AWS, companies now have the ability to develop and run their applications with speed and flexibility like never before. Working with an infrastructure that can be 100 percent API driven enables businesses to use lean methodologies and realize these benefits. This in turn leads to greater success for those who make use of these practices. In this session, we talk about some key concepts and design patterns for continuous deployment and continuous integration, two elements of lean development of applications and infrastructures.

Continuous Deployment @ AWS Re:Invent

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Today’s cutting-edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes that Amazon’s engineers use to practice DevOps and discuss how you can bring these processes to your company by using a new set of AWS tools (AWS CodePipeline and AWS CodeDeploy). These services were inspired by Amazon's own internal developer tools and DevOps culture.

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Applying DevOps to Databricks can be a daunting task. In this talk this will be broken down into bite size chunks. Common DevOps subject areas will be covered, including CI/CD (Continuous Integration/Continuous Deployment), IAC (Infrastructure as Code) and Build Agents. We will explore how to apply DevOps to Databricks (in Azure), primarily using Azure DevOps tooling. As a lot of Spark/Databricks users are Python users, will will focus on the Databricks Rest API (using Python) to perform our tasks.

DevOps for Databricks

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KubeCon/Cloud Native Keynote December 2017

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The Paved Road at Netflix

Leadership isn’t something that you achieve with a manager role. It’s something that you *are*. Leaders exist everywhere in an organization. Leaders lead up, sideways, and down in a hierarchy. How do they do that? Why do they do that? How do they maintain their technical acumen if they relinquish their hands-on roles? You may choose to use your leadership skills to lead a project, lead an organization or simply to rally your coworkers. Or, you may just build better communication with your manager. You will leave this talk with a better understanding of what your leadership tendencies are, and how you might grow as a leader, regardless of whether or not you want to become a manager.

ScalaDays 2015 Keynote

Netflix moves fast and Engineering Tools is charged with enabling that velocity. With that goal in mind, we made a lot of tooling changes in the past year. But with change, comes cost. We are in the process of migrating several systems near and dear to our developers, including our version control system, deployment tool, and operating system for our AMIs. Our goal is to do this while minimizing impact on our customer teams, How did we do? What could we have done better? What aspects of Netflix's culture enabled this? And, most importantly, what can you take back to your own companies regarding the importance of making improvements while mitigating the tax on your teams?

Introducing Change while Preserving Engineering Velocity

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Is your organization committed to the power of the Java platform but stuck in the Java language? Do you spend your time wishing you could use Scala at work, but don’t see how you can get it approved? There are good reasons to push for it! Scala is a popular language with Java developers because of its expressiveness and lack of boilerplate code. It allows you to focus on the problem rather than the ceremony required by Java. Yet, businesses are often reluctant to move to Scala, citing concerns about availability of developers and risks of working in a new language. Learn strategies for bringing Scala into your organization, including using it in non-production code, integrating Scala into a Java application, and easing your fellow programmers into functional programming. See how to use Scala for new development while maintaining your investment in existing Java code. Hear stories of how other organizations have done this and succeeded. You’ll leave knowing how you can move to Scala without risking your job or the success of your projects.

Sneaking Scala through the Back Door

This presentation covers the following topics: What is logging? The purpose of logging: Debugging The purpose of logging: Security The purpose of logging: Stats & analytics Traditional logging Traditional logging: Advantages Traditional logging: Disadvantages The solution: Large-scale logging Large-scale logging: Core principles Large-scale logging: Solution types Large-scale logging: Cloud vs on-prem Large-scale logging: Operational complexity Large-scale logging: Security Large-scale logging: Costs Large-scale logging: On-prem comparison - Elasticsearch - Grafana Loki - VictoriaLogs On-prem comparison: Setup and operation On-prem comparison: Costs On-prem comparison: Full-text search support On-prem comparison: How to efficiently query 100TB of logs? On-prem comparison: Integration with CLI tools VictoriaLogs for large-scale logging VictoriaLogs demo instance - Ingestion rate: 3600 messages / minute - The number of log messages: 1.1 billion - Uncompressed log messages’ size: 1.5TB - Compressed log messages’ size: 23GB - Compression ratio: 47x - Memory usage: 150MB VictoriaLogs CLI integration demo - Which errors have occurred in all the apps during the last hour? - How many errors have occurred during the last hour? - Which apps generated the most of errors during the last hour? - The number of per-minute errors for the last 10 minutes - Status codes for the last hour - Non-200 status codes for the last week - Top client IPs for the last 4 weeks with 404 and 500 response status codes - Per-month stats for the given IP across all the logs Large-scale logging solution MUST provide excellent CLI integration VictoriaLogs: (temporary) drawbacks VictoriaLogs: Recap - Easy to setup and operate - The lowest RAM usage and disk space usage (up to 30x less than Elasticsearch and Grafana Loki) - Fast full-text search - Excellent integration with traditional command-line tools for log analysis - Accepts logs from popular log shippers (Filebeat, Fluentbit, Logstash, Vector, Promtail, Grafana Agent) - Open source and free to use!

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ADR, or Architecture Decision Record, is a valuable tool in software development for several reasons. It provides a centralized location for documenting and tracking architectural decisions, aiding both current and future team members. ADRs enhance communication among team members by documenting the rationale behind architectural decisions, especially beneficial during onboarding of new team members or when revisiting decisions. They serve as a knowledge base, enabling teams to learn from past decisions and refine their decision-making process. Additionally, ADRs contribute to transparency by helping stakeholders understand the reasons behind specific architectural choices. As with any other tool or process, introducing them into an organization can face several obstacles, and overcoming these challenges is crucial for successful implementation. In this talk I go through some common problems and our way of solving them.

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MakeMyPass" Online Bus Pass Management System illustrates the flow of activities and actions that occur within the system to accomplish specific tasks or use cases. This type of diagram focuses on representing the sequence of activities and decision points involved in a particular process. Below is an example outline and description of key elements that could be included in an Activity Diagram for the system:

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