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.

Right now, 48% of organizations say they’re being asked to measure or report on AI-related costs. The problem is that they’re still figuring out how to do it. That was a very telling stat from a recent CloudZero webinar on AI and profitability, and speaks loudly to the reality that many organizations are still struggling to get a grasp on AI spend which our data shows to be rising sharply as a part of total spend in recent months.

In 2025, Oracle shocked the market. Its cloud growth was so aggressive that Oracle’s stock surged, briefly making founder Larry Ellison the world’s richest person. That didn’t happen by accident. Oracle closed fiscal 2025 with $57.4 billion in revenue, mainly driven by cloud services. Oracle Cloud Infrastructure (OCI) grew roughly 50% year over year, driven by enterprise databases, AI workloads, and network-intensive applications migrating from more expensive platforms.

Megaport On-ramp as a Service is the fastest way for service providers to offer secure, private connectivity to mission-critical applications, and it’s now available. Considered the gold standard, private connectivity is the superior way to reach enterprise applications, storage services, or security services. But for most service providers, offering a private on-ramp for customers to connect to isn’t straightforward.

While traditional cloud storage is the normal method people use to store, share, sync, and back up their files online, there are many other options available to consider, especially if you want quick access to large amounts of data. For this, many teams consider checking an object storage vendor list to choose the right service to meet this need. Object storage is a cloud storage architecture designed to handle large amounts of unstructured data.

There usually isn’t a hard and fast rule about who should be on-call. Teams often look for criteria like seniority, experience, or expertise. While those factors certainly help, they might matter less than you think. It is often more useful to look at whether your processes are ready. When incident responses rely on memory and intuition rather than documentation, even experienced engineers can struggle. They might handle things through internal knowledge that isn’t available to everyone else.