metadata: name: product-catalog-dev namespace: argocd spec: destination: namespace: argocd server: https://kubernetes.default.svc project: product-catalog source: path: manifests/app/overlays/dev-quay CORE UX ● Unprivileged pipelines ● Auto-pruning pipeline runs and task runs ● Pipeline admin metrics in Prometheus ● In-cluster Tekton catalog and hub ● Jenkins migration guide ● Deployment pattern Pipeline logs in OpenShift logging stack ● Enhance pipeline builder in Console ● Expose Pipeline Dev metrics in Console ● Add Advanced pipeline templates in Console ● IntelliJ integration with Tekton Hub ●

quickens developer loops so much that often, features land in production that same day. All the golden metrics you track will improve, and morale along with it. Christian has built out a lot of the foundation Keptn is meant to automatically set up environments (such as dev/staging/prod) with gating based on metrics for your CI/CD workflows. You can also integrate testing tools, do performance testing, chaos engineering applications. You can build a containerized application on UBI, push it to your chosen container registry server, and share it. The Red Hat Universal Base Image al- lows you to build, share, and collaborate on

GitOps 2.0 2.1. Visibility into the whole software lifecycle 2.2. Observability and business metrics 2.3. Promotion among different environments 2.4. Achieving Continuous deployment and full Git observing the content of a cluster on a technical level but fail miserably in monitoring the business metrics of each deployment. Auditing is problematic despite having all information in Git A corollary and can also easily answer critical DevOps metrics such as lead time (the time it takes from a commit to reach production). Observability and business metrics As an extension to the previous point,

have distinct differences in their approach and scope. Monitoring provides a predefined set of metrics and indicators for tracking system health, while observability offers a more flexible and exploratory 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 system’s performance, health, and other issues. Paired

MutatingAdmission Webhook Node 超卖 HPAPlus HPAPlus • 一个HPA一个goroutine • 支持 metric/custom.nerics/external.metrics • HPA对象级别同步时间 • HPA对象级别抑制时间 • requests 和 limits 两种资源计算方式 • CronHPA • HPA对象Enable 和 Disable

response to users’ feedback without taking down the whole application and improves development metrics by orders of magnitude in some cases. However, developers using the DevOps approach can find the

referred to by DORA as measures of Software Delivery and Operational (SDO) performance and are metrics where elite and high performance excelled: 1. Deployment frequency DORA found that the world’s

ability to control traffic flow to the new version, and access to external monitoring tool- based metrics that verify if the new rollout is successful or not. Figure 4 BLUE-GREEN DEPLOYMENT Blue-green

⽀持对批量资产执⾏快捷命令、命令脚本以及 Playbook 脚本； 个性化设置（X-Pack） ⽀持⾃定义 LOGO 与主题； 数据库资产连接 MariaDB、MySQL、Redis、MongoDB； Oracle、SQL Server、PostgreSQL、ClickHouse、DB2；(X-Pack) ⾼清晰度 RDP 连接 ⽀持⾼清晰度 RDP 客户端连接；(X-Pack) 录像云端存储 录像云端存储，⽀持 S3、腾讯云 ⽀持的数据库 MySQL 数据库 MariaDB 数据库 Redis 数据库 MongoDB 数据库 Oracle 数据库（X-Pack） PostgreSQL 数据库（X-Pack） SQL Server 数据库（X-Pack） ClickHouse 数据库（X-Pack） DB2 数据库（X-Pack） 功能亮点 语法⾼亮 SQL 格式化 ⽀持快捷键 ⽀持选中执⾏ SQL 历史查询 ⽀持⻚⾯创建 ⽀持的功能有哪些？ 新增 Web 可视化数据库连接组件 Chen ，替代原有的 OmniDB 组件 MySQL 5.7/8.0+ MariaDB PostgreSQL （ X-Pack ） SQL Server（ X-Pack ） Oracle ( X-Pack ) DB2 ( X-Pack ) • Chen ⽀持的数据库有哪些？ 安全认证 SQL 过滤 SQL 录像 SQL 阻断 •

部署 部署 openshift-gitops-dex-server 部署 部署 openshift-gitops-redis 部署 部署 openshift-gitops-redis-ha-haproxy 部署 部署 openshift-gitops-repo-sever 部署 部署 openshift-gitops-server 部署 部署 openshift-gitops-application-controller ication-controller statefulset openshift-gitops-redis-server statefulset 流程 流程 1. 运行以下命令，将现有节点标记为基础架构： 2. 编辑 GitOpsService 自定义资源(CR)以添加基础架构节点选择器： $ oc label node node-role.kubernetes.io/infra=