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, tests, and rollbacks controlled through Git flow ● 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 single repository with 10 branches. This means that you need to open/close 10 pull requests each time you do a release. ● 10 Git repositories. This means that you need to write your own solution that

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

platform approach alone is not enough. Organizations need to think strategically about how they would go about building and maintaining the platform. Further, how they would build a new development culture reaching out to the cybersecurity people outside of their team. This bakes in security from the get-go and allows a security-first mindset even when developers are working on an MVP. Everything we do 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

everything is derived and driven. This trivializes rollbacks; where you can use a `Git revert` to go back to your previous application state. With Git’s excellent security guarantees, you can also use 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

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

和 o n l i n e 发 版 生 产 环 境 。 字节跳动 - 飞书场景一：主干开发主干发布 工具链： 飞书 + Gerrit + Zadig + 内部发布平台 技术栈： Go +git （ yml ） + 多集群 K8s 分支策略： 单分支 master 开发 环境策略： 4 套同构环境动态分配 测试管理： 500 API+E2E cases 字节跳动

环 境 和 o n l i n e 发 版 生 产 环 境 。 字节跳动 - 飞书场景一：主干开发主干发布 工具链： 飞书 + Gerrit + Zadig + 内部发布平台 技术栈： Go +git（yml）+多集群 K8s 分支策略： 单分支 master 开发 环境策略： 4 套同构环境动态分配 测试管理： 500 API+E2E cases 字节跳动 - 飞书场景二：

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

大幅降低资源部署变更环节的操作风险。 1.4.4 对于企业  改变研发与 IT 的协作模式，由“柜台式“协作转变为”ATM 在线服务“模式。  能够加速业务系统新功能开发测试投产上线，缩短新业务以及新功能 Go-To-Market 投 产周期。  能够释放大量人力，提升效率，降低成本。  能够减少资源的浪费，降低资源池建设和使用成本。 1.5 技术工具能力建设提升 1.5.1 建立 IT 在线服务自动化门户

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