Operations | Monitoring | ITSM | DevOps | Cloud

So your database is slow. Now what? Grafana Cloud Database Observability already gives you visibility into your SQL queries with RED metrics, individual execution samples, wait event breakdowns, table schemas, and visual explain plans. But visibility is just the starting point. You can see that a query's P99 latency spiked, but what should you do about it? You can see wait events like wait/synch/mutex/innodb firing, but what does that actually mean?

SQL Prompt's April releases focused on SSMS 22.5 compatibility, a new AI transparency hub, and dark mode readability improvements.

We’re excited to learn that our vmagent helped Airbnb migrate its high-volume metrics pipeline from StatsD and Veneur to OpenTelemetry. Airbnb is now handling 100 million samples per second. You can read more about the migration in these articles: In other news, April saw releases across the VictoriaMetrics Observability Stack. We have released several important bugfixes for VictoriaMetrics and many new features in VictoriaLogs. This release round-up covers updates for.

Salesforce ODBC drivers solve a specific problem: they allow SQL-based tools to query Salesforce data without requiring custom API integrations. That capability matters because Salesforce holds over 20% of the global CRM market and is used by more than 150,000 companies worldwide, making it the largest CRM ecosystem in operation today.

Built on Postgres, Supabase is an open source, all-in-one backend platform for developers who want to ship applications without managing infrastructure. This makes it especially popular with frontend developers and vibe coders who may have little to no database expertise. Datadog's Supabase integration provides high-level infrastructure metrics, but developers also need query-level visibility to easily diagnose, optimize, and trace performance issues back to their source.

In high-throughput database environments, a latency spike is rarely a simple story. Modern data layers are distributed, stateful, and constantly changing as shards move, nodes rebalance, caches warm, queries evolve, and connections churn. In practice, spikes usually come from one of three places: For many SRE and Platform teams, the real challenge is disconnected tooling. As one engineering lead recently shared during a technical workshop: “It’s all disconnected.

Redgate Test Data Manager now ships as a Docker image. Pull it, run it, and you're in the product in minutes. For teams working with containers, this is the fastest way to get started.

Part 3, key insights from a fireside chat with Chris Yates. Read part 1 here, and part 2 here. Most database monitoring proof of concepts (POCs) answer the wrong questions. Here's how to structure a proof of concept that genuinely de-risks your vendor decision with the questions to ask during the process. A POC is often treated as the final hurdle in vendor evaluation, but too often, it becomes theatre. A guided tour of the flashiest features, run by one person, under unrealistic conditions.

Most development teams today build everything around Git, and deploy with GitOps principles. Code sits in version controlled environments, changes go through PRs, and deployments are handled through modern CI/CD. That part is pretty standard at this point, especially when using a modern DevOps platform like Harness.