Summary
In this chapter, we learned about different ADX cluster SKUs and how to select the correct SKU for your use case. The different SKUs are optimized for data ingestion/storage and high-volume workloads.
We then discussed ADX's scaling capabilities and what you should be aware of when using either manual or automatic scaling, and how workload groups can help reduce the risk of bad-performing queries/jobs impacting how we auto-scale.
Next, we introduced a useful Azure feature called Azure Advisor. Based on our usage patterns, Azure Advisor analyzes our usage patterns and makes cost-saving and performance-related recommendations based on how we use the platform.
Finally, we introduced Azure's cost management and billing features and learned how to view our invoices, generate billing reports and forecasts, and how to configure budgets and alerts so that we are notified when we are close to or have exceeded our budgets.
Before we end the book, I would like to...