Azure Monitor Storage

Chaos Engineering in Azure

Chaos engineering is all about breaking your application. Let us see what it is all about and how easy it is in Azure.

Backup Architecture

Continuous backup in Cosmos DB doesn't quite work as Steve would expect. He has a few comments on why it is important you know how your backup and restore system works.

Disaster Recovery in Another Region

Years ago I worked at a large company, and we purchased a SAN appliance to consolidate our storage. This was at a time when the majority of our servers used locally attached storage. This was a big purchase, and we knew that we had to plan for issues. So, we actually purchased two appliances and […]

Azure Policies and Management Groups

You can define policies for your Azure SQL Databases for security and meeting your organization’s standards. Management groups simplify policies over multiple subscriptions. Michael Wood explains Azure Policies and Management Groups.

Adding Users to Azure SQL Databases

Learn about the options to add users to Azure SQL Databases including SQL authentication logins, contained SQL users, contained Azure Active Directory users, mapped logins to users - including code examples you can copy and use immediately.

Raw Data Ingestion into Delta Lake Bronze tables using Azure Synapse Mapping Data Flow

In this article we look at how ingestion will read data from the landing zone and push data into the Bronze layer of the Delta Lake tables for Azure Synapse Analytics.

Performance of querying blob storage with SQL

It’s possible to query blob storage using SQL, but what about performance? In this article, Dennes Torres compares several query methods to see which one performs the best.

Cosmos DB Data Migration Between Containers using Databricks and PySpark

In this article learn how to use PySpark scripts in Azure Databricks service to copy data between Cosmos DB containers.

Azure Cosmos DB – HTAP using Azure Synapse Link

In this article, we will explore the HTAP capabilities of Cosmos DB. The goal is to derive real-time insights from transactional changes made to Cosmos DB, in a cost-effective manner with minimal overhead. I want the solution to be scalable, reliable and overall simple to maintain.