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. With your application’s continuous integration environment Runs inside the production cluster Read/Write access to configuration repository Read access to image repository Read/Write access to the production cluster GitOps clicking on the Explore tab. For automated deployments and GitOps, there is one additional configuration step that we will cover in part two of this tutorial. Part 1: Spin up a Kubernetes Cluster

规范，配备了业界领先的 Web Terminal 方案，交互界面美观、用户体验好。采纳分布式架构，支持多机 房跨区域部署，支持横向扩展，无资产数量及并发限制。 CMDB 全称为配置管理数据库，Configuration Management Database, 用于保 存构筑企业 IT 及应用的资源信息、资源归属信息、应用系统应用信息、以 及资源与资源关系信息，为 IT 系统运维、运营、管理，应用开发测试运维 Nutanix 服务器 IP，用户名，密码（由管理员创建） o Nutanix 服务器 IP 杭州飞致云信息科技有限公司 52 查看方法为： 登录 Nutanix 管理控制台后，进入【Settings】页面，在页面 中左侧菜单中选择【Cluster Details】打开【Cluster Details】页面，如图 3-31 所示，在页面中，Cluster Virtual IP Address

Ecosystems NINAD DESAI STAFF ENGINEER, INFRACLOUD CONTENTS • About GitOps for Kubernetes • Configuration Management in Kubernetes • GitOps for Kubernetes Essentials • Conclusion Git is the most experience. In the last few years, the number of tools and systems needed to manage version control, configuration management, Infrastructure as Code, CI/CD, and observability have drastically increased. This Thus, to improve developer experience, GitOps emerged where infrastructure and application configuration changes revolve around Git, i.e., the version control ecosystem. The focus is entirely on

as the infrastructure layer managing the applications. One day there was an incident where a configuration change took down their entire hosting platform, but the DevOps engineers were able to bring back infrastructure stack instead of just one object. We’ve seen that the desired state is pulled from configuration information that is versioned and stored in an immutable storage system. If there is a difference the entire software infrastructure at a datacenter using configuration files that are both ma- chine-readable and human-readable. The configuration files are machine-readable in a structured format (usually

#IstioCon Target audience ✅ If you want to ... ● play with Istio offerings ● see the actual configuration files ● understand how Istio can be used / installed with other services ● know what multicluster Install into some cluster ● Tweak some simple configuration ● Add / remove offerings you are keen to test and see in action ● Add custom configuration on top of simple setup ● Install in cluster Install into some cluster ● Tweak some simple configuration ● Add / remove offerings you are keen to test and see in action ● Add custom configuration on top of simple setup With requirements such

entire software stack through Git and treat your servers 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 you should trust the platform you are building on. With GitOps, you can make sure that each configuration change is verified by your peers and automatically tested before it is deployed. Your platform Git as the single source of truth, and all platform configuration stored in Git, platform operations can be automated with ease. Whenever configuration drift occurs, it is immediately spotted and corrected

treat everything as code – from the application code itself to the underlying infrastructure and configuration – you can keep it in version control. This means the desired state and any changes of an entire ecosystem of cloud native tools are declarative, as opposed to imperative, which allows for configuration to be treated as code. It is this declarative nature that enables the infrastructure to be held make crucial decisions before they deploy new features. Features or other updates like cluster configuration can be pushed to Git and then observed in real-time – and rolled back if necessary. This means

being generic). ● It requires extra effort to keep all branches in sync (in case of hotfixes or configuration changes). ● It puts unnecessary strain on the CI system that has to check/rebuild/unit test each environment and can quickly lead to configuration duplication or people making commits to specific environments (instead of using shared configuration). For example, if you have 20 git repositories release to a previous environment (e.g. production to QA in order to examine a bug) ● has a configuration mechanism in place to define multiple version of the same environment (i.e. for different geographical

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 ⼀條龍 ⼯程團隊 Configuration Automation Ops / Infra GitLab 說的~ GitOps = IaC + MRs + CI/CD Infrastructure as Code Infrastructure System Configuration Application Configuration GitOps = IaC + MRs + CI/CD Merge Requests GitOps = IaC + MRs + CI/CD Continuous

@codefresh ● Predictable - Comprehensive understanding of deployment impact ○ Declarative configuration with a known end state ● Auditable - Traceable changes to infrastructure and applications ○ desired state of configuration ● Pull requests drive all application & infrastructure changes ● Cluster state always matches Git state ○ Tooling should understand and monitor for configuration drift ● Deployments feature development @codefresh Practicing GitOps ● Templating: Helm, Kustomize, and more ● Configuration Drift: Monitors live state against desired state ● Enterprise Ready: SSO, multi-cluster, and