Operations | Monitoring | ITSM | DevOps | Cloud

For years, Application Management/Maintenance Services (AMS) have been the go-to solution for IT leaders trying to keep their business applications stable and running. The AMS pitch was simple: Hand over your apps to us, and we’ll manage and maintain them for you! And for a long time, that model has delivered promising results. It allows internal teams to focus on innovation while service providers handle the operational heavy lifting.

Tempo 2.10 has arrived, delivering TraceQL enhancements, improved cardinality management for the metrics-generator, vParquet5, and more. You can continue reading and check out the video below to learn more about these and other new features. The Tempo 2.10 release notes and changelog provide more in-depth details and include all of the changes that came with this release.

In PostgreSQL, the EXPLAIN ANALYZE statement gives you a detailed report of what actually happens when you execute a query. This kind of information is important for troubleshooting slow queries, but using EXPLAIN ANALYZE to collect this data is often challenging in a production environment. Datadog Database Monitoring now supports automatic collection of EXPLAIN ANALYZE plans for PostgreSQL, enabling you to easily capture execution details that help you troubleshoot slow queries.

TL;DR - Turbopack became the default in Next.js, so we reworked our SDK to stop depending on bundlers. The result is less code, faster builds, and the same telemetry. This blog explains how we got there. You know the feeling when you spend years building tooling that supports something and all of a sudden that something becomes deprecated and you have to rethink your full approach?

As per the Enterprise AI Survey conducted by Digitate in collaboration with Sapio Research revealed that IT operations have emerged as the primary proving ground for artificial intelligence in the enterprise. With 78% of organizations already deploying AI in IT, 65% identifying ITOps as the biggest AI beneficiary, and adoption outpacing every other function, IT leads enterprise AI maturity.

Reliability used to mean “are we up?” Today, customers ask something more demanding: “Are you fast, everywhere, every time?” The SRE Report 2026 shows that this change is no longer emerging. It is already established.