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 other issues. Paired with open source monitoring tools like OpenTelemetry, developers can gain real-time visibility of the system’s state and changes. Observability complements monitoring by providing application and infrastructure components while ensuring clear separation and control over changes in each layer of the system. User Permissions and Access Controls To operate and maintain a GitOps system effectively

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 Feedback and control loop Because about-to-be-released services or updates can be observed in real-time within the running cluster, you can deploy with confidence and deliver higher-quality features deployment pipeline is triggered, and once the image is ready to be released, it can be observed in real-time against the running cluster. At this point, the developer may return to the beginning of the pipeline

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 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 teams can deploy and make changes to the infrastructure

(SaaS) company that hosted applications on their platform using Kubernetes as the infrastructure layer managing the applications. One day there was an incident where a configuration change took down their The drawback to this model is that integrating the pipeline with the GitOps con- troller adds a layer of complexity. You are mixing the synchronous CI actions with asynchronous Git-based processes. This 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

questions. Ideally, a GitOps solution should have native support for measuring and storing historical data for: ● Business features implemented in each release ● The journey of each software release for Pull Requests (more on this in the next section) or even creating a higher-level abstraction layer for specifying different environments. The end result should be that for any GitOps project product owners or business analysts. 2. High-level “deployment” tools that are actually a fancy UI layer on top of a low-level tool exposing only a minimal amount of information. These tools treat a deployment

$HOME/admin.conf export KUBECONFIG=$HOME/admin.conf 6. Install Weave Net as the Pod Networking Layer In this section, you will install a Weave Net pod network so that your pods can communicate with

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

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

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