Operations | Monitoring | ITSM | DevOps | Cloud

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.

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?

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.

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.

Harness AI is starting 2026 by doubling down on what it does best: applying intelligent automation to the hardest “after code” problems, incidents, security, and test setup, with three new AI-powered capabilities. These updates continue the same theme as December: move faster, keep control, and let AI handle more of the tedious, error-prone work in your delivery and security pipelines. ‍

The Software Metering feature in InvGate Asset Management lets you monitor how applications are actually used across the different devices in your IT ecosystem. The benefits are clear. At an organizational level, Software Metering helps reduce costs, strengthen compliance, and optimize software investments across the entire company. At an operational level, it gives IT teams the clarity they need to manage applications more efficiently and plan future purchases with confidence.

The Software Compliance module in InvGate Asset Management gives you a clear view of your software compliance status against your organization’s contracts. From a single place, you can quickly see whether you’re using more licenses than you purchased, which software is underutilized, and when contracts are expiring, helping you stay ahead of audit risks and make decisions based on accurate data. Beyond compliance, the module also focuses on financial impact.

Digital businesses today generate a flood of telemetry—metrics, logs, traces, and events—at a scale that grows exponentially with every new application, cloud service, and user interaction. In one recent IDC survey, every organization reported sharing observability data across teams, yet nearly half said poor collaboration still prevents them from identifying performance problems.

IT Operations Leaders, Platform Engineering Managers, SRE Team Leads, and DevOps Directors managing complex, multi-tool observability environments who are struggling with alert overload and extended incident resolution times.