one example of many modern cloud native tools that are “declarative” and that can be treated as code. Declarative means that configuration is guaranteed by a set of facts instead of by a set of instructions sign commits that enforce strong security guarantees about the authorship and provenance of your code. Approved changes to the desired state are automatically applied to the system. Once you have times. 1. Increased Productivity 2. Enhanced Developer Experience Key Benefits of GitOps Push code and not containers. By applying GitOps best practices developers use familiar tools like Git to manage

GitOps Second Demo What’s next? Some edge routing httpbin color-svc Debug toolkit Cluster: kind-armadillo Some edge routing httpbin color-svc Debug toolkit Cluster: kind-bison @rytswd #IstioCon What’s next? Istio Egress Gateway Debug toolkit Cluster: kind-armadillo Istio Ingress Gateway color-svc Debug toolkit Cluster: kind-bison Istio Proxy Sidecar Main container VirtualService Gateway About GitOps Second Demo What’s next? httpbin color-svc Debug toolkit Cluster: kind-armadillo Istio Ingress Gateway for Multicluster httpbin color-svc Debug toolkit Cluster: kind-bison Istio Ingress

14 Chapter 2–Tools of the Trade Infrastructure as Code History of Infrastructure as Code Challenges of Infrastructure as Code Containers Change the Game Argo CD Flux Management Non-Declarative Infrastructure Security Base Image Selection Everything as Code Conclusion 45 About the Author The Path to GitOps | 5 Foreword In May 2018, I recorded a workloads running on them) back to its original state. They essentially implemented infrastructure as code by keeping every- thing they wrote (including configurations) stored and versioned in Git, and by

tools and systems needed to manage version control, configuration management, Infrastructure as Code, CI/CD, and observability have drastically increased. This puts an additional burden on the developer of the application. Ideally, the developer focuses mainly on delivering business value via code. Thus, to improve developer experience, GitOps emerged where infrastructure and application configuration configuration changes. In an ideal world, this approach allows the developer to focus on working and pushing code to Git, and then, further deployment and tweaks would be taken care of by an automated mechanism

cloud-native ecosystem, particularly in Kubernetes-based environments, where managing infrastructure as code is crucial. Knowing the philosophy of GitOps, what your current deployment strategy looks like, cloud-native ecosystem, particularly in Kubernetes-based environments, where managing infrastructure as code is crucial. Essential elements of GitOps include continuous integration / continuous delivery (CI/CD) DevOps that uses Git as the single source of truth for declarative infrastructure and application code. In GitOps, the desired state of the system is versioned and stored in a Git repository, and a reconciliation

behind GitOps are quite straight-forward: ● Infrastructure as Code: Git is always the source of truth on what happens in the system ● Code changes always go through an automated process ● Deployments that your deployment artifacts are already there. This means that tasks such as… ● Compiling code ● Running unit/integration tests ● Security scanning ● Static analysis ...are not a concern artifacts and normally does not touch (or know about) source code. But in most cases, in order to run unit tests, you need access to the source code of the application. The current crop of GitOps tools cannot

the autonomy to deploy their own code and make infrastructure changes with minimal intervention from Ops, organizations naturally become more productive. They deploy code more quickly and bring new features engineering teams across the world against four key measures: lead time for new features, failure rate of code changes, frequency of deployment and the time it takes to restore service following an outage. deployment frequencies, ranging between once a month and once every six months. 2. Lead time for code changes This metric refers to the average time from check-in to production release. Businesses that

Commit Code OK! Dev Ops Deploy Code 炸 炸 炸 啊～我忘了說有⼀個新的 Config ~ Commit Code OK Again ! Dev Ops Code Deploy 炸 炸 炸 Again Again Again Ops 啊！我昨天有⼿動改了 ⼀個 Config，應該不是 這個原因吧？ Commit Code OK Again Again x2 Dev Ops Code Deploy 炸 炸 炸 Again Again AgainAgain Again Again 炸 炸 炸炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 炸 Infra Infra 有⼀些調整，忘了 跟你說～ Photo by Fancycrave on Unsplash 什麼是 GitOps Provision Code Deploy Artifacts Production ⼀條龍 ⼯程師 Configuration Provision Code Deploy CI / CD Production ⼀條龍 ⼯程團隊 Configuration Automation Code Deploy CI / CD Production

application. It utilizes Git as the source code management tool for managing the infrastructure code. In other words, GitOps is an evaluation of infrastructure as code and DevOps practices which uses Git as application infrastructure GitOps allows developers or the Ops team to declare their infrastructure as code and version control them via Git. Whenever a new change is required, a pull request with the new change undergo almost the same verification and validation process for application code with consistent: End-to-end workflows Standardized code structures Documentation Testing methods This introduces standardized

In this situation, developer experience is of utmost importance as developers collaborate around code. The way to foster an outstanding developer experience is to leverage the internal platform approach Stream-aligned teams are essentially application development teams that build features and release code into production. Platform teams, on the other hand, exist to support application development teams as your source code. Every change and configuration is done through a pull request and everyone has access to the application, which can be rolled back if needed. Just like with your code, you should trust