GitOps: Stop, collaborate and deploy | DevNation Tech Talk

May 28, 20200 likes3,848 views

The barrier to using Kubernetes and Openshift has never been lower, but how do we manage the applications that run on these clusters? During this presentation, we will have a live demonstration deploying a GitOps tool and then using it to manage both applications as well as cluster resources. We will also migrate an application live across the United States on multiple clusters with zero downtime, all managed through git.

CONFIDENTIAL designator
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GitOps
Stop, Collaborate, and Deploy
1
Ryan Cook
Principal Software Engineer
@cooktheryan

CONFIDENTIAL designator
V0000000
GitOps
● YAML objects stored in git repository with version control
● Templating available with Helm or Kustomize
● Quite simply “kubectl apply -f $path” runs over and over
● No object type creation limitations

CONFIDENTIAL designator
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Best Practices
● Least privileges as possible
● Store code and Kubernetes objects in different repositories
● Kubernetes objects should be in a private repo
○ Secrets
○ Routing information
● Document the process to create/recreate GitOps the
artifacts

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Deployment Models
● Hub and Spoke
● Independent

CONFIDENTIAL designator
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ArgoCD
● Web UI
● Templating available with Helm or Kustomize
● Multiple sync options
○ Pruning
○ Auto-sync
○ Webhook
● Multiple cluster conﬁguration

CONFIDENTIAL designator
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Kustomize
● Allows you to override values in your Kubernetes objects
● Integrated into kubectl
● kustomize is super powerful for multisite

CONFIDENTIAL designator
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Architecture

CONFIDENTIAL designator
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Stop, Collaborate, and Deploy
DEMO

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Quarkus Renarde 🦊♥ is a new Web framework based on Quarkus. This framework focuses not on microservices but web applications and makes Quarkus even easier to use for web apps: - Endpoints based on convention, even easier than RESTEasy Reactive and JAX-RS - Server-side templating with Qute - Validation with Hibernate Validation - Data with Hibernate ORM or Reactive with Panache - Simple authentication with OpenID Connect or WebAuthn Quarkus Renarde 🦊♥ can deliver all this while still providing the joy of developing with Quarkus, with live reload, continuous testing, the Dev, and more.

Containers without docker | DevNation Tech TalkRed Hat Developers

This document summarizes a talk about running containers without Docker. It discusses alternatives like Podman and Buildah that can replace Docker functionality. The talk demonstrates installing and using Podman to run containers, Buildah to build images from Dockerfiles, and Skopeo to copy images between registries. The presentation encourages understanding containers beyond just Docker and knowing other tools in the ecosystem.

Distributed deployment of microservices across multiple OpenShift clusters | ...Red Hat Developers

Hybrid-cloud and multi-cloud patterns are the next application deployment architectures, and Kubernetes is the de facto container orchestration engine. 50% of production Kubernetes workloads involve some form of microservices applications. How can we manage this inter-cluster application connectivity? Meet Skupper: an open-source project that solves multi-cloud communication for Kubernetes. In this Tech Talk, you will briefly learn about Skupper and watch a live demo of an e-commerce application with 10 microservices spanning three OpenShift clusters running on three different public cloud providers.

DevNation Workshop: Object detection with Red Hat OpenShift Data Science [Mar...Red Hat Developers

In this workshop, you’ll learn an easy way to incorporate data science and AI/ML into an OpenShift development workflow. As an example, you’ll use an object detection model to detect ‘dog(s)’ in an image. You will: Use Jupyter Notebooks and TensorFlow to explore a pre-trained object detection model Serve the model in a REST API as a Flask App Use Source-to-Image (S2I) to build and deploy the Flask app Explore Kafka streams from Notebooks Deploy a Kafka consumer with the same object detection model You’ll be able to do all of this without having to install anything on your own computer, thanks to Red Hat OpenShift Data Science and Red Hat OpenShift Streams for Apache Kafka. Note: Beginner data handling and Python skills are required for this workshop.

Dear security, compliance, and auditing: We’re sorry. Love, DevOps | DevNatio...Red Hat Developers

DevOps solved the conflict between development and operations, but other essential aspects of the delivery lifecycle—security, compliance, and audit—were left out. DevSecOps is an excellent reminder that security must be DevOps’d, but compliance and audit are still missing. There’s no need for a new DevSecAuditComplianceOps buzzword; instead, let’s talk about continuous authorization, which applies Zero Trust principles to continuous monitoring. In this tech talk, Bill Bensing will discuss practical ways to start with continuous authorization for the software delivery lifecycle using Ploigos.

11 CLI tools every developer should know | DevNation Tech TalkRed Hat Developers

A Microservices approach with Cassandra and Quarkus | DevNation Tech TalkRed Hat Developers

We will dissect the world famous todo app that provides a REST API (which is the foundation of microservices) with data backed by Apache Cassandra. We will leverage the TODO MVC and the TODO backend projects with the back end that we will build with Quarkus and Cassandra. Attendees will get an overview of Cassandra, including the driver for Quarkus. Through live coding (that attendees can try out later) in a cloud-based environment, primarily in Quarkus and Cassandra, attendees will understand how to implement and connect the APIs to the backend and leverage the generic client(s)provided. After attending this session attendees will walk away with a good understanding of implementing microservices using Cassandra and Quarkus. They will also get a working knowledge of how Astra (Cassandra as a service) can be leveraged in other solutions.

GitHub Actions and OpenShift: Supercharging your software development loops...Red Hat Developers

Every software developer wants more productivity. What if the only commands you needed to deploy were "git commit" and "git push"? Join us as we walk you through a live demonstration of how you can ship your lovely application code from your local machine to a free OpenShift cluster, fully automated through GitHub Actions. By the end of this session, you'll have a sound understanding of building a GitHub Action workflow for your codebase that leverages OpenShift to deploy your application.

To the moon and beyond with Java 17 APIs! | DevNation Tech TalkRed Hat Developers

Since moving to a 6 monthly release cadence, the Java platform is evolving more dynamically than ever before. It can be quite a challenge to stay on top of all the changes and new features. In this talk we're going to explore the most important developments in the Java API: which classes have been added, and what has been removed? Join Duke, the Java mascot, for a trip to space and learn which exciting new APIs provided by the Java platform can help him with his journey: The Java Vector API for utilizing the SIMD capabilities of modern CPU architectures The Foreign Linker API for integrating with native code The JFR Event Streaming API for publishing JDK Flight Recorder Events We'll also take a look at some useful changes to the Java runtime, such as CDS archives for a faster spaceship..., uhm, application launch!

Kafka at the Edge: an IoT scenario with OpenShift Streams for Apache Kafka | ...Red Hat Developers

This document discusses Apache Kafka and Red Hat OpenShift Streams for Apache Kafka. It begins with an overview of what Apache Kafka is and its common use cases. It then demonstrates how Red Hat OpenShift Streams provides a managed Apache Kafka cluster as a service, including a dedicated cluster, configuration management, metrics, monitoring and other features to provide a streamlined developer experience. It concludes with information on trying OpenShift Streams for Apache Kafka and additional resources.

Level-up your gaming telemetry using Kafka Streams | DevNation Tech TalkRed Hat Developers

Many modern video games are constantly evolving post-release. New maps, game modes, and game balancing adjustments are rolled out, often on a weekly basis. This continuous iteration to improve player engagement and satisfaction requires data-driven decision making based on events and telemetry captured during gameplay, and from community forums and discussions. In this session you will learn how OpenShift Streams for Apache Kafka and Kafka Streams can be used to analyze real-time events and telemetry reported by a game server, using a practical example that encourages audience participation. Specifically you’ll learn how to: Provision Kafka clusters on OpenShift Streams for Apache Kafka. Develop a Java application that uses Kafka Streams and Quarkus to process event data. Deploy the application locally, or on OpenShift and connect it to your OpenShift Streams for Apache Kafka Cluster.

Friends don't let friends do dual writes: Outbox pattern with OpenShift Strea...Red Hat Developers

Dual writes are a common source of issues in distributed event-driven applications. A dual write occurs when an application has to change data in two different systems - for instance, when an application needs to persist data in the database and send a Kafka message to notify other systems. If one of these two operations fail, you might end up with inconsistent data which can be hard to detect and fix. OpenShift Streams for Apache Kafka is Red Hat's fully hosted and managed Apache Kafka service targeting development teams that want to incorporate streaming data and scalable messaging in their applications, without the burden of setting up and maintaining a Kafka cluster infrastructure. Debezium is an open source distributed platform for change data capture. Built on top of Apache Kafka, it allows applications to react to inserts, updates, and deletes in your databases. In this session you will learn how you can leverage OpenShift Streams for Apache Kafka and Debezium to avoid the dual write issue in an event-driven application using the outbox pattern. More specifically, we will show you how to: Provision a Kafka cluster on OpenShift Streams for Apache Kafka. Deploy and configure Debezium to use OpenShift Streams for Apache Kafka. Refactor an application to leverage Debezium and OpenShift Streams for Apache Kafka to avoid the dual write problem.

Know your app: Add metrics to Java with Micrometer | DevNation Tech TalkRed Hat Developers