Using Go in DevOps

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Natalie Pistunovich Engineering Manager – Fraugster Natalie is an Engineering Manager, Go Developer, Berlin’s Go User Group Lead, GopherCon Europe organizer and Public Speaker. She also describes herself as a Passionate Learner and Professional Questions Asker.

Tecnologia

Using Go
in DevOps
Natalie Pistunovich
@NataliePis

- Intro to Go
- OPS/SRE Tools in Go
- What’s Next?

$GOOS $GOARCH
darwin 386 -- 32 bit MacOSX
darwin amd64 -- 64 bit MacOSX
linux 386 -- 32 bit Linux
linux amd64 -- 64 bit Linux
linux arm -- RISC Linux
windows 386 -- 32 bit Windows
windows amd64 -- 64 bit Windows
And there’s more…

• fmt
• io/ioutil
• net/http
• os/exec
• path/filepath
• regexp
• strings
• text/tabwriter
• time
stdlib

Pointers Exist,
Pointer Arithmetic
Doesn’t

The Go community
  doubled
in the last year

There are approx. 1.5
Million active Go users

New Go users in 2017
=
New Go users in
the last 9 years

invite.slack.golangbridge.org
github.com/golang/go/wiki
play.golang.org
golang.org/blog
twitter.com/golang (also: #golang)
Go Resources

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Snap CI enables software teams to do Continuous Delivery (CD). When practicing CD, the goal is to automate the deployment process and build software in such a way that it can be deployed to production any time. As a deployment tool, Snap CI cannot have downtime. If it did, our users would not be able to deploy their own software. We had to change Snap CI’s architecture to ensure zero-downtime and we chose to do blue-green deployments to achieve it. In this approach, we had to maintain two instances of our system: one active instance, and one inactive instance. Based on our experiences, we will share some tricks of the trade from the numerous challenges we faced such as: making the application aware of whether it was active or inactive, handling data migrations, and babysitting long-running jobs. These are the slides from Akshay Karle and Fernando Junior's presentation on Agile Brazil 2015.

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What is the right balance between moving fast, innovating, experimenting with new technology, and protecting the personal data of our customers and interests of our stakeholders? How can we safely try new ideas in production without risking costly downtime? Does the utopia where developers are free from lock-in and operators enjoy the calm of a steadily running system exist in the real world? Is it possible to have open platforms with better security? At Kroger Digital we are still working through these questions every day but are redesigning our systems with the goals of true operational maturity and security. Discover how we are building capabilities for monitoring, A/B testing, and continuous delivery with Docker Datacenter, plugins, and open source building blocks such as NGiNX, ElasticSearch, and more.

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Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1WlpXHF. Axel Fontaine looks at what Immutable Infrastructure is and how it affects scaling, logging, sessions, configuration, service discovery and more. He also looks at how containers and machine images compare and why some things people took for granted may not be necessary anymore. Filmed at qconlondon.com. Axel Fontaine is the founder and CEO of Boxfuse. Axel is also the creator and project lead of Flyway, the open source tool that makes database migration easy. He is a Continuous Delivery and Immutable Infrastructure expert, a Java Champion, a JavaOne Rockstar and a regular speaker at various large international conferences.

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Continuous delivery is a powerful concept, but hard to achieve. One of the challenges is automating the setup of environments and the deployment of the Java EE applications. We have looked at and used quite some tools like for instance Chef, Puppet, Vagrant and Nolio. All tools had one thing in common: we had never used them. Why should we invest time in mastering those tools? There is a perfect alternative in Jenkins, a tool most developers are familiar with. Besides the basic Jenkins buildserver capabilities it offers quite some useful plugins like the Build Pipeline plugin. To setup environments the popular Docker project is used. Docker allows you to create containers from any application. Only some knowledge is required for the setup of the containers. The rest of the configuration is done through commands most people are quite familiar with.

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Presented by Sandro Cirulli, Platform Tech Lead, Oxford University Press Oxford University Press (OUP) recently started the Oxford Global Languages (OGL) initiative (http://www.oxforddictionaries.com/words/oxfordlanguages) which aims at providing language resources for digitally under represented languages. In August 2015 OUP launched two African languages websites for Zulu (http://zu.oxforddictionaries.com) and Northern Sotho (http://nso.oxforddictionaries.com). The backend of these websites is based on an API retrieving data in RDF from a triple store and delivering data to the frontend in JSON-LD. The entire micro-service infrastructure for development, staging, and production runs on Docker containers in Amazon EC2 instances. In particular, we use Jenkins to rebuild the Docker image for the API based on a Python Flask application and Docker Compose to orchestrate the containers. A typical CI workflow is as follows: - a developer commits code to the codebase - Jenkins triggers a job to run unit tests - if the unit tests are successful, the Docker image of the Python Flask application is rebuilt and the container is restarted via Docker Compose - if the unit tests or the Docker build failed, the monitor view shows the Jenkins jobs in red and displays the name of the possible culprit who broke the build. A demo of this CI workflow is available at http://www.sandrocirulli.net/continuous-integration-with-jenkins-docker-and-compose

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Oliver Pomeroy, Docker & Laura Tacho, Cloudbees Enterprises often want to provide automation and standardisation on top of their container platform, using a pipeline to build and deploy their containerized applications. However this opens up new challenges; Do I have to build a new CI/CD Stack? Can I build my CI/CD pipeline with Kubernetes orchestration? What should my build agents look like? How do I integrate my pipeline into my enterprise container registry? In this session full of examples and how-to's, Olly and Laura will guide you through common situations and decisions related to your pipelines. We'll cover building minimal images, scanning and signing images, and give examples on how to enforce compliance standards and best practices across your teams.

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This talk will walk through the critical parts of a tool chain that forms the service delivery platform, a robust, secure solution with Jenkins as the main orchestrator that scales with many teams and hundreds of pipelines. I will show a tool chain with Git, Jenkins, Jenkins Job Builder, Puppet, Graphite, Logstash and more that is proven in battle. I will share insights and details on good ways of building a platform for pipelines that recognizes the individual teams needs for fast feedback, traceability and visibility in the delivery process.

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Creating a Secure Supply Chain of images is vitally important. Every organization needs to weigh ALL options available and understand the security risks. With so many options for images, it is tough to pick the right ones or even to create your own. Ultimately, every organization needs to know the provenance of all the images. Then once the images are imported into the infrastructure, a vulnerability scan is vital. Docker Trusted Registry with Image Scanning will give organizations insight into any vulnerabilities. Better yet, its automated with a succinct audit trail, so you can still take that vacation you had planned and make your security team happy.

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Lee Namba - EMEA Professional Services Manager, Docker The Docker Enterprise container platform helps organizations deploy and manage applications faster and it secures the application pipeline at a lower cost than traditional application delivery models. But it takes more than just great technology to achieve the desired results. The organization and culture of your enterprise directly impacts what you transform, how it’s done, and who does it. Success requires a strategy for how you will govern the container platform environment, how to assess your application estate, what your delivery pipeline will look like, and how to ensure developers, operators, security teams and others play nicely together. In this talk I will cover topics such as different types of workloads (legacy, microservices, FaaS, big data and more), how your org chart can influence whether you deploy CaaS (Containers as a Service) vs CLaaS (Clusters as a Service), how "shifting left" can determine if you can outsource, centralized vs distributed CI/CD and how containers play a role, transforming your pets into cattle, how giant whale balloons are used for onboarding, and a prescriptive and comprehensive methodology for successfully deploying containers into your enterprise.

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