Kubernetes日志平台建设最佳实践-元乙Data SQL�NoSQL Log Service / LogShipper Mobile & Web IoT Mobile Logs Web Text & Logs Services & Languages IoT & Devices Camera �� Log Service / LogHub Real-time Data Stream �� Visualization DataV Log Service / Dashboard ��� Stream Processing SparkStreaming Function Compute Hadoop HIVE Big Data Analytics Batch Processing Pig PAI MaxCompute EMR Interactive Analytics DLA Log Service0 码力 | 30 页 | 53.00 MB | 1 年前3
QCon北京2018/QCon北京2018-《Kubernetes-+面向未来的开发和部署》-Michael+ChenNamespace events 2. A user creates a new K8s Namespace 3. The K8s API Server notifies NCP of the change (addition) of Namespaces 4. NCP creates the network topology for the Namespace : a) Requests Context Unstructured Data Logs Messages VMware vRealize Log Insight Log analytics, aggregation, and search Virtual Applications vRealize Ops, Log Insight For Comprehensive Visibility 32 UI and API0 码力 | 42 页 | 10.97 MB | 1 年前3
Kubernetes开源书 - 周立API将会不断变化和发展。但是,在很⻓⼀段时间内并不会破坏与现有客户端的兼容性。⼀般来说,新的API资源和新的 资源字段通常可被频繁添加。消除资源或字段将需遵循 API deprecation policy 。 API change document 详细介绍了兼容更改以及如何更改API的内容。 OpenAPI与Swagger定义 完整的API详情使⽤ Swagger v1.2 和 OpenAPI 记录。Kubernetes kubectl rollout history deployment/nginx-deployment deployments "nginx-deployment" REVISION CHANGE-CAUSE 1 kubectl create -f docs/user-guide/nginx-deployment.yaml --record 2 Labels: app=nginx pod-template-hash=1159050644 Annotations: kubernetes.io/change-cause=kubectl set image deployment/nginx-deployment nginx=nginx:1.9.1 Containers: nginx:0 码力 | 135 页 | 21.02 MB | 1 年前3
Serverless Kubernetes - KubeConZone ENI Pod 使用场景 Use cases • Multimedia processing • IoT sensor messages processing • Stream processing at scale • Chat bots • Batch jobs or scheduled tasks • HTTP REST APIs and web applicated0 码力 | 16 页 | 4.25 MB | 1 年前3
高性能 Kubernetes 元数据存储 KubeBrain 的设计思路和落地效果-许辰写优化 - 3 事务优化 精心设计 key 格式 一个 k8s 对象的索引和数据在同一分区内 跨分区分布式事务 -> 分区内单机事务 读优化 - 1 Range 读 Unary -> Stream 代替分页,降低延迟 内存高效复用,避免 OOM 读优化 - 2 多分片并发读 通过并发,大大减少读时延 读优化 - 3 读写分离 follower 可以无限扩展,没有 raft0 码力 | 60 页 | 8.02 MB | 1 年前3
KubeCon2020/微服务技术与实践论坛/Spring Cloud Alibaba 在 Kubernetes 下的微服务治理最佳实践-方剑Circuit Breaker 实现 2019.7 Spring Cloud Alibaba 毕业 2019.8 Apache RocketMQ 成为 官方推荐的 Spring Cloud Stream 实现 2019.10 Spring Cloud Alibaba 官网在 Spring 官方网站上线 2019.11 Github Star 突破 1w 2020.2 Spring0 码力 | 27 页 | 7.10 MB | 1 年前3
K8S安装部署开放服务/etc/docker/daemon.json { "exec-opts": ["native.cgroupdriver=systemd"], "log-driver": "json-file", "log-opts": { "max-size": "100m" }, "storage-driver": "overlay2", "storage-opts": nbiot-udp: address: ":9092/udp" providers: kubernetesCRD: "" log: filePath: "" level: error format: json accessLog: filePath: lvwq Org = iSurpass Bucket = openservice [Log] Filename = /opt/tools/iSurpass/openservice/log/openservice.log MaxSize = 1 MaxBackups = 30 MaxAge = 150 码力 | 54 页 | 1.23 MB | 1 年前3
涂小刚-基于k8s的微服务实践/data/all-log pod-path /data/all-log kafka-cluster elasticsearch-cluster logstash-cluster kafka-groupid=es topic applog logstash kafka-groupid=file file-storage mkdir -p /data/all- log/${namespaces}/${pod-name} app-log-path pod 1 worker node pod * app-log log* daemonsets filebeat 容器启动挂载宿主/data/all-log到容器/data/all-log 容器启动时创建namespace和pod-name 创建软连接到logs目录 daemonset在每一个k8s-node节点启动 挂载/data/all-log目录 实时扫描发现新目录日志0 码力 | 19 页 | 1.34 MB | 1 年前3
Kubernetes Native DevOps PracticeJob Job Job Job Pod Pod Pod Pod ElasticSearch ElasticSearch Logging Service agent to collecting log data ElasticSearch ElasticSearch Monitor/Alert Service CronJob Node Pod Node Pod Unified collecting log data ElasticSearch ElasticSearch Monitor/Alert Service DevOps Operator Cluster AutoScaler k8s API DevOps Service DevOps Service DevOps Manager Restful API realtime log history history log pull metric data ElasticSearch ElasticSearch Prometheus Push Gateway push metric data • Build task can also expose custom metric data • Ephemeral build task can push metric to gateway if0 码力 | 21 页 | 6.39 MB | 1 年前3
在大规模Kubernetes集群上实现高SLO的方法ContainerCrashLoopBackOff, FailedPostStartHook, Unhealthy… Trace system Increase of SLO Data Collect Audit log Event The unhealthy node Monitoring Isolation Recover Degrade Data Analysis Failures/Machine problems automatically。 The infrastructure Log Event End User Storage Analysis Platform Trace Report Weakness The trace system Data Collect: Collect Audit log for the whole cluster. Data analysis: Analyze Auto Human experience Improve of strategy …… 1. Collect data from metrics NPD, Trace system and Log. 2. Analyze the problem of the node, such as DiskRO, critical Daemonset is not ready. 3. Processing0 码力 | 11 页 | 4.01 MB | 1 年前3
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