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 the microservices-demo repo you forked wherever you have front-end checked out, open up the file ./public/css/style.blue.css in a text editor and search and replace #4993e4 with red. Push the change to Github: git commit -am “Change buttons

Istio Multicluster First Demo About GitOps Second Demo What’s next? Control Plane Data Plane istiod Manages data plane components Handles Custom Resources Handles actual traffic Can be standalone Operator istio-operator Manages Istio installation with IstioOperator Custom Resource Example ● Data Plane with 5 proxies ● Each pod knows endpoint details of other pods ● Can be Sidecar or Gateway What to expect Istio Multicluster First Demo About GitOps Second Demo What’s next? Control Plane Data Plane istiod Some container Istio Sidecar Proxy Istio Ingress Gateway Istio Egress Gateway @rytswd

对象存储服务，支持常用私有云和公有云对象存储 漏洞扫描（scan） 绿盟漏洞扫描对接和漏洞分析 堡垒机（jumpserver） 用于 Jumpserver 堡垒机对接 AWS 费用管理（aws-billing-data） AWS 费用可视化分析、优化及分摊 物理机管理（physical-machine） 物理机自动发现及自助申请 负载均衡（loadbalancer-service） 负载均衡自服务及资源管理 conf # 项目配置文件目录 │ ├── aws_images.json # aws-billing-data 模块 │ ├── aws_price.json # aws-billing-data 模块 │ ├── aws_price.json.zip # aws-billing-data 模块 │ ├── cmp-realm.json # keycloak 导入配置 │ ├── elasticsearch-jvm redis 配置 │ ├── redis.env # redis 配置 │ ├── settings.xml # nexus 配置 │ └── version # CE 版本文件 ├── data # 各个组件的数据文件存放目录 │ ├── ansible # Ansible 数据目录 │ ├── elasticsearch # ES 数据目录 │ ├── influxdb # InfluxDB

installment in the largest and longest-running project of its kind, pulling together six years of data drawn from over 31,000 technology professionals worldwide. It charts the performance of engineering concepts – speed and stability – might be expected to represent a trade-off. On the contrary, DORA’s data shows businesses that perform well in one tend to perform well in the other. Moreover, businesses via redundancy, which is significantly easier to achieve using GitOps. By storing all configuration data in Git, organizations can consistently deploy identical and complete Kubernetes Platforms to different

Self-service developer experience (DX) In the past, the only way a developer could get access to servers, data, or software was to ask a system administrator. In the modern era, however, developers require on-demand financial services and healthcare, compliance is a high priority. They have specific needs to have data stored only on-premises and ensure a complete audit trail of all actions performed within the system organization looks to deliver an outstanding developer experience—and manage infrastructure from data center to edge—an internal platform is the key enabler. Weaveworks, one of the key organizations

and system operations teams, which store infrastructure con- figurations. Applications use sensitive data, notably the token or credentials that grant access to a database. For operations, the critical secret Encrypted Secrets Storing encrypted secrets is one of the most popular ways to avoid exposing sensitive data. This solution involves encrypting the secret before uploading it into Git. Later, when the secret SealedSecret resource when it gets applied to the Kubernetes cluster. The controller then decrypts the data and loads the corresponding secret into the Kubernetes cluster. The process is illustrat- ed in Figure

and behavior of a system based on its external outputs, events, and data. It involves gathering and analyzing various types of data including logs, metrics, and traces in order to gain insights into a

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

sequential ● Tasks run on different nodes ● Task execution logic ○ Conditional ○ Retries ● Share data between tasks git build deploy 26 OpenShift GitOps Declarative GitOps for multi-cluster continuous

deployment workflows. Built-in observability allows engineers to make informed decisions on real-time data. For example, when a deployment is being rolled out, a final health check can be made against your