Specifically, continuous integration (CI) and continuous delivery (CD) tooling. My mindset at the time was, “We can do better.” We had new, declarative tools for infrastructure and a new paradigm to work At the time, someone was trying to do better: A small, scrappy startup called Weaveworks. They’re the ones who coined the term GitOps in 2017. Our futures would be entwined for a significant time after multiple workshops and GitOpsCons and attended regular meetings to help shape GitOps. The entire time, Christian Hernandez established himself as one of the preeminent experts in GitOps. He deftly fielded

GitOps (and the current generation of GitOps tools) In the article we will see the following pain points of GitOps: 1. GitOps covers only a subset of the software lifecycle 2. Splitting CI and CD GitOp tools. Even though GitOps (the methodology) has some interesting characteristics and selling points, the current GitOps tools focus only on the deployment part of an application and nothing else is now getting the new version. But how do you promote this release to environment Y? Every time somebody declares that adopting GitOps is an easy process, I always ask how promotion between different

organizations being ‘stuck in the middle’, yet to reach high levels of DevOps maturity. The report points out that there are two types of teams that are prevalent in highly mature DevOps organizations - declarative, which means deployments are reliable and that any action can be replayed or rolled back at any time. Most of our teams operate their software and systems and are managing their infrastructure including ecosystem of available cloud-native open source projects in order to remain innovative and improve their time to market. However, they needed to implement cloud-native technologies within their highly regulated

eBook 5 Continuous deployment automation with an integrated feedback control loop speeds up your mean time to deployment. This allows your team to ship 30-100x more changes per day, and increases overall Make a record of the kubeadm join command that kubeadm init outputs. You will need this once it’s time to join the nodes. This token is used for mutual authentication between the master and any joining Part 3: Setup CI and Connect a Container Registry eBook 30 7. Modify the Manifest file so it Points to Your Container Image Using an editor of your choice, open manifests/front-end-dep.yaml, from

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. In 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 perform best against not performing well reported an average lead time of between one and six months. 3. Time to restore service This is defined by DORA as the average time from the detection of a user-impacting incident

Declarative definitions kept in Git allow developers to use familiar workflows, reducing the time it takes to spin up new development, test environments, or deploy new features to a cluster. Teams achieve vs. how it should be achieved, and then the automated system should take care of it ahead of time. The opposite of declarative is an imperative approach where you try to define the sequence of steps run the old version alongside the new version of your application; microservices run at the same time and then switch user traffic from the old to the new version. Once the new version is perfectly

using DevOps and GitOps together Deployment/Cycle Time Deployment Frequency Change Lead Time Change Failure Rate MTTR vs. MTTF (mean time to recover/fail) P.3 Simplify Kubernetes operations environment, the system can only be changed through Git, thereby reducing user error and speeding up time to deployment. P.5 Empower developers to deploy with confidence After a decade of DevOps refinement agent handled how those assets got deployed to Kubernetes. Deployment speed Deployment Frequency Time spent coding 50% 65% 75% faster increase more The GitOps Journey at Mettle by NatWest

infrastructure changes are available chronologically, enabling users to identify infrastructure changes over time easily. It is also helpful in: Troubleshooting Auditing Rollbacks Changes are automatically applied source-controlled, validated infrastructure reduces configuration errors that can occur during deployments, saving time for Ops teams to diagnose and fix those errors. Besides, source control allows multiple teams to work trails to identify details related to infrastructure changes such as Responsible users Deployment data time Affected resources Etc. The GitOps approach also helps to streamline the management of authentication

change again. In this talk we’ll show how to use GitOps to achieve reliable, and fast releases time and time again. Rather than pushing changes, Argo pulls and syncs code changes to a cluster. When combined - Traceable changes to infrastructure and applications ○ Understand exact state during any prior time period ● Accessible - Changes only require a pull request ● Git as a system of record for the desired

Some edge routing httpbin color-svc Debug toolkit Cluster: kind-bison @rytswd #IstioCon Demo Time! Target Audience What to expect Istio Multicluster First Demo About GitOps Second Demo What’s next Second Demo What’s next? color-svc https://github.com/rytswd/color-svc @rytswd #IstioCon Demo Time! Target Audience What to expect Istio Multicluster First Demo About GitOps Second Demo What’s next