Summary 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 Considerations Multicluster Management Non-Declarative Infrastructure Security Base Image Selection Everything as Code Conclusion 45 About the Author The Path to GitOps | tooling. My mindset at the time was, “We can do better.” We had new, declarative tools for infrastructure and a new paradigm to work. However, there weren’t many tools that had fully embraced Kubernetes

GitOps is rapidly gaining popularity to extend the scope of DevOps further to include application infrastructure. In this article, we will have a look at GitOps and how to leverage it for delivering cloud-native underlying infrastructure of an 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 DevOps practices which uses Git as the single source of truth for provisioning infrastructure declaratively. The term GitOps was confined by Weaveworks in 2017 and was primarily aimed at managing Kubernetes

the 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 framework that aims to streamline and automate the deployment and management of applications and infrastructure using Git as the single source of truth. It simplifies and standardizes the deployment and the cloud-native ecosystem, particularly in Kubernetes-based environments, where managing infrastructure as code is crucial. Essential elements of GitOps include continuous integration / continuous delivery

number of 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 developer focuses mainly on delivering business value via code. Thus, to improve developer experience, GitOps emerged where infrastructure and application configuration changes revolve around Git single source of truth for infrastructure and application configuration changes. In an ideal world, this approach allows the developer to focus on working and pushing code to Git, and then, further

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 Here are some of the key reasons: Manage deployments from on-premise to cloud to edge Scale infrastructure to meet demands Enable built-in compliance Enforce zero-trust security Let’s look at each

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

by using Git as a source of truth for declarative infrastructure and applications. Automated CI/CD pipelines roll out changes to your infrastructure when commits are pushed and approved in Git. It also 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 back to and from Kubernetes. And even more importantly, when disaster strikes, your cluster’s infrastructure can also be dependably and quickly reproduced. --------------- --- The canonical desired system

Jonas Janz AppDev Solutions Architect https://github.com/pixeljonas 2 GitOps is when the infrastructure and/or application state is fully represented by the contents of a git repository. Any changes changes to the git repository are reflected in the corresponding state of the associated infrastructure and applications through automation. GitOps is a natural evolution of Agile and DevOps methodologies are easily stored and managed in git OpenShift GitOps Principles ● Separate application source code (Java/.Net/etc) from manifests (yaml) ● Deployment manifests are standard k8s manifests ● Avoid

from the waterfall approach to application development to the DevOps approach. Instead of throwing code over a wall to a separate engineering team and never seeing it again, they would prefer to have small using the DevOps approach can find the operations side tricky when they’re trying to spin up infrastructure on modern, cloud-native technologies. They need a way to confidently and securely deploy changes of many modern, cloud-native tools that are declarative and can be treated as code. The system’s entire infrastructure must be described in Git. After a PR is merged, the changes are automatically

well-worn path for using the principles of “GitOps” to take advantage of Kubernetes declarative infrastructure in order to deploy more often, and with more reliability. In this session, you’ll learn the reliable, and fast releases time and time again. Rather than pushing changes, Argo pulls and syncs code changes to a cluster. When combined with Codefresh’s CI/CD components we can get something magical impact ○ Declarative configuration with a known end state ● Auditable - Traceable changes to infrastructure and applications ○ Understand exact state during any prior time period ● Accessible - Changes