2_人見人愛的control-m作業請求流程
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人見人愛的 Control-M 作業請求流程
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2_人見人愛的control-m作業請求流程
- 3. 溝通時間總是曠日廢時 3 Developers Operations Business UsersSystem Administrators
- 4. 既有的批次作業部署 4
- 5. 全新的批次作業部署 5
- 7. 人見人愛的Control-M作業請求流程 7 Control-M Managed File Transfer Build, schedule, and manage file transfers within in a single system via an ecosystem-wide dashboard view Automation API Build workflows in JSON, and manage them together with other applications in a source code environment On the Cloud Provision, install, configure, and scale up / down automation environments to meet changing business needs Self-Service Submit and monitor jobs through an easily-understandable interface (incl. mobile) without interfacing with IT. For Hadoop Develop, schedule, manage, monitor, and integrate Hadoop workflows within a single, centralized system. Workload Change Manager Build workflows that automatically adhere to enterprise-wide standards Application Integrator Extend workflow automation solutions to any application via a simple, web-based design tool. Batch Impact Manager Automatically detect delays and errors in workflows, and extrapolate those errors to see a system-wide impact
- 9. Drag picture to placeholder or click icon to add 專為 DevOps設計的專屬 Web平台 直觀的圖形介面開發 開發人員依據業務需求 定義批次排程 送出排程請求讓批管審核 提供介面快速排解問題 集中管理，一目了然 Workload Change Manager功能說明 9
- 12. Control-M 批管人員進行審核 12 退回請求 or 審核通過 檢視設定 有無滿足規則
- 15. 15 WCM作業請求生命週期 建立工作區 新增、修改作業定義 開發人員發出請求 批管人員審核請求 退回請求，修改內容 批准請求，作業上版
- 18. 更加彈性的控制批次排程 18 AP開發人員 Control-M CLI、HTTP Request 執行批次作業 安裝 CLI (CTM Command Line Interface)
- 25. 25 國家產業創新獎 卓越中堅企業 Vital 雲端服務家族GSS 叡揚資訊 謝謝聆聽 Q&A GSS 技術部落格
Hinweis der Redaktion
- 在公司的同一部門，甚至不同部門之間，都需要各種業務的合作，並做到流程自動化，但各自不同的系統和技術團隊，經常會有不同的情況、需求、願望，溝通時間總是曠日廢時。
- 過往可能遇到的問題: 填寫需求單，但不一定有涵蓋到自身需求 乍看下，覺得需求單太過複雜，不好填寫 填單時有問題，但與批管人員的時間不好喬 需求單填寫好了，但又來來回回修改了好幾次 造成許多時間的浪費
- 開發人員是最清楚業務需求的 所以讓開發人員親自定義業務需求的排程 避免溝通上的誤會 減少因認知不同造成的差異 降低流程的等待時間
- 所以我們如何促進彼此間的合作，減少磨合，增進效率，是我們接下來的重心。
- 根據 Site Standards 定義批次排程 提供線上使用手冊 WCM is an intuitive user interface which does not require a steep learning curve. This is one of many forward thinking innovations from BMC which is designed to include those areas which need batch scheduling so that the time to value is decreased. Time to deployment is key to value.
- 介面介紹，各格說明 設定亦可依循 Server的 Site Standards
- 集中管理，一目了然
- Control-M Automation API允許你建立、測試、管理作業流程
- 只要設定好環境 Control-M Automation API允許你建立、測試、管理批次排程 它讓你可以更好的控制 Control-M排程功能，而不需藉由 IT服務 讓AAPI於Enterprise Manager server，意謂著AAPI可以從其他applications，或其他Server，接收 request，或是 HTTP request，代表你可以對job定義、submissions job、配置 job至enterprise manager，而這過程中你無需 interface或是 GUI client。 我們提供 CLI interface，把它安裝在你的機器後，您便得以透過commands進行作業。你可以將所有意見和一切都裝在一個 JSON file，並送出所有submissions。AAPI的一切code都在開發者的環境中。
- The next several slides are in lieu of a demo. This presentation is intended for a technical audience and a live demo is always preferred to slides. If however, you do not have an environment or are not comfortable doing a live demo, these slides provide an alternative. This slide builds so watch it in Slideshow mode: The first image is of Notepad++, a very popular text editor showing jobs in json format. This is the visual of Jobs-as-Code. Items to highlight are: You code only what you need The folder has a “defaults” section that applies to all the jobs, to reduce the effort even further Flow definitions implicitly define “conditions”. If desired, they can be defined explicitly. JSON is a de-facto standard for RESTful Web Services The Command prompt shows the “ctm env sh” command and output. The “environment” in Automation API is a combination of a logical name, the RESTful Endpoint providing services, username and password. You can see multiple environments in the list , with one being the default. When submitting requests, they are sent to the default environment unless another one is specified explicitly. The next operation we perform is a build. This lets us verify the syntax of the json. The verification is performed with the “standards” of that environment. So this is the next click where we see the Workload Change Manager site standards. Whatever that target Control-M has defined as its syntax, that’s the validation that is applied,
- Next is testing. Use the “run” service to actually run jobs in a Control-M environment. The service returns a “run id”. As we saw previously, you can define multiple environments and then run the jobs in any of those environments by adding the “-e <environment name> to the run request. If you’re a developer or DevOps engineer, you may be working on building a CI/CD process or developing an automated test that will be included in the pipeline. You may want to submit the run request to a persistent test environment. In any case, the run id that is returned , is used to query the status of the submission using “ctm run status <runid>. The stats of each job is provided along with a “job id” which can then be used to get a job’s output, log, rerun the job, kill it if it’s still running, etc. Functions to demonstrate if doing a demo: ctm run job:output::get <runid> ctm run job:log::get <runid> ctm run job::hold <runid>
- 不需額外安裝作業環境 由開發人員定義排程 提供良好的溝通介面 AAPI 可 Run SQL script，也支援 docker 、Hadoop…等應用
- 為此，我們提出兩個解決方案 Workload Change Manager Automation API 便是授權給 OP以外的人，也就是 AP本身，來請求、建造、測試，與 部署 Control-M jobs， 更快速的部署關鍵排程，並更貼近真實狀況的需求，縮短各方溝通時間，一同創造 Control-M的更高價值。