Technology Geek

Most database security controls focus on the perimeter: who can connect, what ports are open, whether TLS is enforced. Those controls matter. But they say nothing about what happens inside the database once a connection is established. Which users have excessive privileges they never use? Which tables contain sensitive data that should be masked in non-production environments...

Event Hubs is Azure’s distributed log: millions of events per second, partitioned, replayable, and Kafka protocol compatible. It is the front door for telemetry pipelines, clickstreams, IoT ingestion, and increasingly as a drop in Kafka endpoint for applications you do not want to re-platform. The concepts are simple, but the sizing and consumer design decisions are where pip...

A caching layer is the cheapest performance upgrade most applications can buy, and Redis is the default answer. On Azure that now means choosing between the classic Azure Cache for Redis tiers and the newer Azure Managed Redis offering built on Redis Enterprise. This post covers the selection, the deployment, and the patterns that separate a cache that helps from a cache that...

Cosmos DB rewards good design more than almost any Azure service, and punishes bad design in your invoice. Three decisions determine whether it is fast and affordable or slow and shocking: the partition key, the consistency level, and how you provision throughput. All three are hard or impossible to change later, so this post is about getting them right the first time.

Exadata Database Service on OCI is not simply a larger database instance. It is a purpose-built converged infrastructure that offloads query processing from database server CPUs to storage servers using Smart Scan, delivers persistent memory for redo log writes, and scales compute and storage independently. The workloads that benefit most are large analytical queries against ...