- Stream Analytics with Microsoft Azure
- Anindita Basak Krishna Venkataraman Ryan Murphy Manpreet Singh
- 126字
- 2021-07-02 22:35:57
Mission-critical and enterprise-less scalability and availability
Azure Stream Analytics is available across multiple worldwide data centers and sovereign clouds. Azure Stream Analytics promises 3-9s availability that is financially guaranteed with built-in auto recovery so that you will never lose the data. The good thing is customers do not need to write a single line of code to achieve this. The bottom-line is that enterprise readiness is built into the platform. Here is a summary of the Enterprise-ready features:
- Distributed scale-out architecture
- Ingests millions of events per second
- Accommodates variable loads
- Easily adds incremental resources to scale
- Available across multiple data centers and sovereign clouds
- Guaranteed events delivery
- Guaranteed 3-9s availability
- State management of auto recovery
- Scales using slider in Azure portal and not writing code
- Localization
推薦閱讀
- 大數據技術與應用基礎
- Mastering Proxmox(Third Edition)
- 我的J2EE成功之路
- 手把手教你學AutoCAD 2010
- 大數據時代的數據挖掘
- Zabbix Network Monitoring(Second Edition)
- INSTANT Varnish Cache How-to
- Mastering Machine Learning Algorithms
- Storm應用實踐:實時事務處理之策略
- Kubernetes for Serverless Applications
- RedHat Linux用戶基礎
- 統計挖掘與機器學習:大數據預測建模和分析技術(原書第3版)
- 學練一本通:51單片機應用技術
- 傳感器與自動檢測
- 寒江獨釣:Windows內核安全編程