CNCF explore k8s api using java client

Mar 3, 20194 likes523 views

透過K8S的API來設計工具或應用程式 (Java) 使用官方版本的Kubernetes客戶端框架創建一個構建簡單但功能強大的工具範例: PVCWatch 本文件將聚焦在介紹如何使用Java程式語言的客戶端。為了說明這些客戶端框架的用法，我們將創建一個簡單的CLI工具這個工具PVCWatch會監視與計算K8S群集中PVC (Persistent Volume Claim)的使用總量, 並檢查它是否達到指定閥值當總量達到閥值時，它會採取一個動作（在這個例子中，會在console上打印出一個簡單的通知） Youtube: https://youtu.be/EJr_NWzZdKc Github: https://github.com/erhwenkuo/k8s-client-java-examples

Cloud Native: Building stuff with the Kubernetes API
K8S API
(Java)
1

Agenda
1. Introduction The Kubernetes Clients
2. A simple client tool for Kubernetes
3. The Kubernetes Java Client
• Connecting to the API server
• Listing cluster PVCs
• Watching the cluster PVCs
4. Run the program
5. Summary
2

• 5 /
• 3 MES/SFC
• 3 ERP (SAP-MM )/EAI Leader
• 2 End-To-End Business Integration Analyst
• 1 OEM Sales Team Leader
• 4 /
• 6 /
• IT –
• 4.0 / -
erhwenkuo@gmail.com
3

• Kubernetes
• Go client
• OpenAPI clients

• Kubernetes
• Swagger (OpenAPI) C
• https://github.com/kubernetes-client/gen

• C Kubernetes Java Python
JavaScript typescript
• Java

• l K c A e CLI
• l PVCWatch i K8S PVC (Persistent Volume
Claim) fo, n p
• fon p l
console e mb

• AKubernetes :
• (connectivity)
• (resource list retrieval and walk through)
• K (object watch)
• A

• f Kubernetes b
eAPI
• K c A Kubernetes

• Kubernetes Java Java Swagger
• https://github.com/kubernetes-client/java

• Java I C A API
• Config.defaultClient ApiClient

• Config ApiClient utility
I K8S APIP A
• Within a cluster
• From a config file
• Auto-detect
• I C

• defaultClient n c h
eP I g :
1. C o $KUBECONFIG kubeconfig ,
$HOME/.kube/config
2. (1) c s ( r
i )
3. (1) (2)v c n c http://
localhost:8080 t K8S API A

• ApiClientC eK8S API j b i
• P l A c e
b I API
• Java aOpenAPI b
API b

PVCs
(resource list retrieval and
walk through)
24

• API VL API
• C listNamespacedPersistentVolumeClaim()
P PVC
• P V1PersistentVolumeClaimList

• Javat h K8S WAPI P
c i C na ADDED MODIFIED DELETED
• CLI K8S PVC
(Persistent Volume Claim) , usV eW
• WP l r 2Gi n
• console
• r g

• Watch Watch.createWatch
API V1PersistentVolumeClaim

• SsetReadTimeout() ”0”( HTTP
K8S API c a )
•

• v V sn switcht K8S API e
• ADDED o PVC
• MODIFIED o PVC
• DELETED o PVC C
• i g PVC r c
totalClaims
• P c maxClaims console

• ( Helm) K8S
100Gi (persistent storage claim)

• Kubernetes
API
• https://www.slideshare.net/erhwenkuo/cncf-explore-k8sapi
• a Kubernetes Java
CLI S (namespace) PVC
• Kubernetes Java K8S API
a

- 7 A: 99 I 8 0 58 A8 8 2. 2 K A: /
• 87 B B: A: 58 A8 8 5 7 A:
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Datacon 2019-ksql-kubernetes-prometheusErhwen Kuo

大部分使用容器技術的企業，不約而同都會搭配以 Kubernetes為首的容器管理調度平台。Kubernetes 己經成為各大雲端供應商相繼支持的平台, 同時也廣泛地在企業內部擔負起重要的角色。為了能夠對 Kubernetes 有更完整的 Day2 運維機制, 佈建 Prometheus來收集 metrics 並搭配 alert manager 及 grafana 來搭建監控與預警的平台己經成為業界標準。然而 Prometheus 的資料模型並無法讓我們簡單地加入一些額外要分析的 label (enrichment/join), 或是客製資料處理的邏輯。因此, 結合了 Kafka 與 KSQL 來延伸對Kubernetes 的及時串流分析, 不僅補強 Prometheus 的弱項, 同時開展了對 Kubernetes 監控與預警的能力。

Cncf k8s Ingress Example-03Erhwen Kuo

Ingress & Ingress Controller範例(Part3) 目的在一般企業環境內, 在注重網路安全的年代裡, 通常都會要求Web應用程式必須使用Https(443)的協議來確保Web client對Web server之間的網路封包不會因為沒有加密而外洩了重要的資訊。然而現實的環境裡, 仍然有很多legacy的Web應用程式不容易(或不想)再修改來引人SSL的機制。這個時候, 最簡易的方法就是通過反向代理的伺服器在前端Web應用程式來進行SSL的握手協議, 然後再使用Http(80)的明文協議轉拋呼叫給後面Web應用程式。雖然並不鼓勵這樣的做法, 但卻也是用最少的代價來啟動Https(443)的過渡方針。範例範例(3):是對反向代理SSL通信模型的”復現“，即client與ingress controller(nginx)間採用https加密通信，但ingress controller(nginx)與app3間則是明文的http通信。為了讓ingress controller能夠進行SSL的通信握手, 必須要把SSL憑證上傳進Kubernetes裡, 然後設定Ingress來使用。 Youtube: https://youtu.be/gHNqwI378Hk Github: https://github.com/erhwenkuo/cncf-k8s

Cncf k8s Ingress Example-02Erhwen Kuo

Ingress & Ingress Controller範例(Part2) 目的: 在現實的環境中, 不免會用到一些原本就內嵌了憑證且使用Https(443)來開放存取介面的應用服務。當我們把這樣的服務跑在Kubernetes的集群中時, 又想要讓Kubernets外的使用者可以以一般的Http(80)來使用時, 如何讓Ingress controller可以順利地把服務開放出去就成為一個課題。而這個範例就是讓大家可以完成這個任務的手把手練習。同時也是讓大家練習如何使用OpenSSL來產生Self-signed憑證的基本步驟。範例: 通過app2-ing將內部服務app2-svc的https(443)服務端口暴露到集群外，通過訪問http://app2.example.com即可訪問app2服務 Youtube: https://youtu.be/0Gst9bUUTi4

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Realtime analytics with Flink and DruidErhwen Kuo

DataCon.TW 2017 Real-time analytics with Flink and Druid 講者：郭二文 / 資深經理 @ 緯創資通企業應用系統講題：Real-time analytics with Flink and Druid 摘要： “即時地以多維 (OLAP) 的分式來對數據進行探索與分析是數據驅動業務的關鍵功能。這個議程將說明如何應用 Kafka、Flink 和 Druid 來構建實時在線分析系統並介紹這個快速可靠流式數據處理的架構。近年來，Apache Kafka 已成為高可用性和高度可擴展的消息傳遞的事實標準。而 Apache Flink 允許我們以最少的延遲消費，處理和生成數據。 Druid 是一個專為實時多維分析 (OLAP) 而設計的數據存儲，它低延遲數據攝取架構允許事件在它們創建後快速地就可以進行過濾、聚合和查詢的資料操作或OLAP分析。”

Spark手把手:[e2-spk-s03]Erhwen Kuo

了解了Spark的基本架構之後, 對大多數的人來說如何可以開始把Spark跟自己的日常資料的處理程序掛上勾。Spark手把手:[e2-spk-s03]著重在體驗如何Spark SQL來處理資料庫的資料以及一些實用的小技巧。內容包括了: • DataFrame Pivot功能 • Parquet資料格式與Spark的結合 • Spark SQL給合JDBC資訊源 • Spark-SQL/Zeppelin與北風資料庫結合練習

Spark手把手:[e2-spk-s02]Erhwen Kuo

Spark手把手:[e2-spk-s01]Erhwen Kuo

「Spark 手把手 - 快速上手營」適合對於想了解如何應用Apache Spark/Hadoop/Kafka來建構大數據資料平台或是處理分析大數據的工程師或工程主管來參加。參加本次活動，參與者都將會有機會體驗 Apache Spark Family 中各項知名的專案，包括 Spark、Spark-SQL、Spark-Streaming、Kafka、HDFS、Parquet、Zeppelin 以及 Java, Scala等工具與技術。整個活動設計區分為兩大階段: 階段一 Spark應用於批次型資料處理 (Spark for Batch process): 約4週, 每週2小時階段二 Spark應用於串流式事件處理 (Spark for Streaming process): 約2週, 每週2小時

06 integrate elasticsearchErhwen Kuo

在這個大數據的時代, 使用者最常使用的功能之一就是檢索。而在一般的網頁應用程式的設計中最容易拖慢速度的不是檢索(Search)就是產生report(尤其是Summary或是Aggregation)。如何在幾TB的數據量下面而又能快速反應使用者對檢索(Search)或summary/aggregation reporting的需求, 我們需要能夠快速檢索的引擎。想知道如何輕輕鬆鬆地整合一個檢索的引擎, 而且是能夠很容易擴展的幾十個Ｎodes的檢索clusters嗎？想知道Stackoverflow或GitHub這些擁有幾十上百TB資料的網路大神如何提供檢索的功能嗎？在這個最終篇的課程中,讓我們一起登頂吧 (這是一本跑歩熱血小說中, 男主角對其它組員的勉勵slogan~~嗯…有點冷!!)

05 integrate redisErhwen Kuo

你/妳有聽過Stackoverlfow的網站嗎？你/妳知道Stackoverflow 只使用了兩台的Redis Cache Server就撐起來95 Million pages views per Month嗎？你/妳自己在上網的時候會忍受按一個link或一個button然後等超過一秒鐘才看過結果的網站嗎？到底這些網路的大神都怎麼設計網站來達到這樣高的流量的同時又能有這樣好的網頁回應速度。讓我們在這堂課中打開這個別人不說的祕密, 來建立一個高速和高乘載的網站應用程式!!

04 integrate entityframeworkErhwen Kuo

This document discusses integrating AngularJS, ASP.NET Web API, SignalR, and Entity Framework. It begins with an overview of object-relational mapping and Entity Framework. It then demonstrates how to develop an ASP.NET Web API with Entity Framework using Code First migrations to initialize and seed a database. Different data loading strategies like eager, lazy, and explicit loading are explained. Issues with navigation properties and circular references are addressed. The document also covers creating DTOs, mapping entities to DTOs with LINQ and AutoMapper, and integrating everything into a real-time dashboard using SignalR with Entity Framework backend.

03 integrate webapisignalrErhwen Kuo

進擊的 ASP.NET Web API 2 巨人 – 打造支援各種裝置及平台的服務你/妳知道WebApi (REST)己經成為一個企業IT系統整合及網路服務成長最為快速的趨勢嗎? 你/妳知道現今在網路上最被Mobile device使所用的資料交換的格式是JSON (Javascript Object Notation)而不再是肥大擁腫的XML怪獸嗎? 全世界的網路大咖都拼命地開發WebApi的服務來吸引Mobile或Web application的開發者, 我們將在這堂課中結合AngularJs與ASP.NET Web API 2來讓大家開始感受WebApi的吸引力。

02 integrate highchartErhwen Kuo

圖表在現今大數據當道的今天, 不僅可以適當的讓使用者可以快速理解趨勢或資料分析結果，同時也是網頁前端工程技術中不可獲缺一環。在本課程中我們將結合上一堂的AngularJs 與Highchart來設計一個動態的圖表網頁，俗話說”有圖有真相”, 想要讓你/妳分析資料背後的真相用漂亮的圖表來展現嗎? 千萬別missing這一堂課。

01 startoff angularjsErhwen Kuo

More and more web application is adopting "Single Page Application (SPA)" style to improve user experience (UX). There are many different SPA framework out there, however AngularJS leading by Google really stand out, not only because it can dramatically reduce the developing effort, but also it can improve the maintainability, testability and efficiency. In this tutorial, it will demonstrates the fundamentals features of AngularJS with easy to follow sample pages. All the source code could be found on GitHub: https://github.com/erhwenkuo/PracticalCoding

Datacon 2019-ksql-kubernetes-prometheusErhwen Kuo

Cncf k8s Ingress Example-03Erhwen Kuo

Cncf k8s Ingress Example-02Erhwen Kuo

Cncf k8s Ingress Example-01Erhwen Kuo

TDEA 2018 Kafka EOS (Exactly-once)Erhwen Kuo

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Realtime analytics with Flink and DruidErhwen Kuo

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Spark手把手:[e2-spk-s02]Erhwen Kuo

Spark手把手:[e2-spk-s01]Erhwen Kuo

06 integrate elasticsearchErhwen Kuo

05 integrate redisErhwen Kuo

04 integrate entityframeworkErhwen Kuo

03 integrate webapisignalrErhwen Kuo

02 integrate highchartErhwen Kuo

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2. Agenda 1. Introduction The Kubernetes Clients 2. A simple client tool for Kubernetes 3. The Kubernetes Java Client • Connecting to the API server • Listing cluster PVCs • Watching the cluster PVCs 4. Run the program 5. Summary 2

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