Operations | Monitoring | ITSM | DevOps | Cloud

According to Redgate’s 2026 State of the Database Landscape report, 91% of teams – no matter how experienced – still hit at least one significant challenge during their move to the cloud.

The best ADO.NET tools for SQLite should preserve the speed that makes SQLite worth using in the first place. Recent benchmarks show it completing 100,000 sequential reads in 272 milliseconds, nearly 5x faster than MySQL on the same hardware, because there’s zero network overhead between your app and the database. A slow or poorly matched provider wipes out that advantage. Queries drag, operations behave unpredictably under concurrency, and simple data access turns into a scaling problem.

The time has come to announce the release of dbForge 2026.1, a grand update that brings a variety of new features and long-anticipated enhancements to the entire dbForge ecosystem. As usual, the update will cover all database systems that dbForge is compatible with, but this time, there will be a special focus on PostgreSQL and related databases and cloud services, whose users will be witnessing a major step forward, with multiple new features, options, and whatnot.

Without a dedicated Dynamics 365 connector, software engineers can spend up to 50% of their time building custom integrations instead of shipping core features. They get pulled into JSON handling, OAuth setup, and OData limits, which slows everything down. A dedicated ADO.NET provider changes all that. It lets teams query CRM data with SQL, use familiar C# tools, and plug into ORMs like Entity Framework or Dapper, making it a practical dynamics CRM connector for modern.NET applications.

When your database performance degrades, diagnosing the root cause is rarely quick or straightforward. Your existing tools might surface metrics like CPU utilization, wait events, and query duration, but then leave you to correlate the data and identify what went wrong. Worse, what first appears to be the root cause can often just be a downstream effect of multiple interrelated issues.

Observability in large companies is rarely one-size-fits-all. The VictoriaMetrics topologies guide shows why different deployment patterns are needed as scale, isolation, and reliability requirements grow. Different workloads require different trade-offs: some need long retention for audits and trend analysis, while others need higher resolution for debugging. Business-critical systems also demand dependable alerting and high availability, often with several 9s of reliability.

In today’s cloud-driven, multi-platform environments, answering the simple question - who owns that database? - is no longer straightforward. As teams adopt open-source tools and spin up cloud services on demand, ownership is becoming fragmented across development, operations, and data teams. This shift is accelerating innovation but also creating new challenges in visibility, control, and accountability, as Grant Fritchey explains.

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.