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on
1
Intro
2
Talk Motivation
3
Troubleshooting Models
4
Cloud Troubleshooting Model
5
Telemetry Scenarios
6
Disclosures
7
Telemetry Scaling - Lessons Learned
8
What Data To Collect?
9
Building Batch Pipelines
10
Table Storage
11
Blob Storage + SQL Database
12
Example Dashboard/Report System
13
Cloud Service Fundamentals
14
Approach 3 - Petabyte Scale Telemetry
15
Approach 3 - Details/Limitations
16
(Near Real-Time) Alerting
17
Using Machine Learning Option 1: Go get R-it is free
Description:
Explore how Microsoft manages over a million databases in SQL Azure through this conference talk from PASS Data Community Summit. Dive into big data techniques for cloud troubleshooting, telemetry scaling, and data collection strategies. Learn about building batch pipelines, utilizing table and blob storage, and creating dashboard systems. Discover cloud service fundamentals and approaches to petabyte-scale telemetry. Gain insights on near real-time alerting and the potential of machine learning in database management. Understand the challenges and solutions in managing massive-scale database operations in the cloud.

Managing 1 Million+ DBs - How Big Data is Used to Run SQL Azure

PASS Data Community Summit
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