Operations | Monitoring | ITSM | DevOps | Cloud

Organization Settings let you set defaults for the whole org, one time for everyone.

TL;DR OpenSearch 3.6 makes agentic search production-ready, with the AI-powered Launchpad provisioning full search apps in minutes and faster default vector search, and it's the first LTS release, bringing 18+ months of guaranteed support, SBOMs, and an upstream-first commitment (every fix goes back to the main project) so teams get fast-moving open source and a stable, supported platform at once.

The relentless growth of data traffic, driven by cloud services, high-speed residential broadband, 5G mobility, and enterprise digitalization, places enormous pressure on network infrastructure. Service providers and large enterprises must scale capacity while simultaneously controlling costs and reducing operational complexity. In this environment, traditional network architectures are reaching their breaking point, creating an urgent need for a more efficient and integrated approach to transport.

Today, we are pleased to announce the release of CFEngine 3.28.0! The code word for this release is introspection. This is a non-LTS, not supported, feature release, with features which will become part of the next LTS scheduled for summer 2027.

In some organizations, high token counts have become a proxy for productivity. Some engineering teams are being pushed to max out context windows and wire in sprawling tool sets. More tokens can mean better agent reasoning and richer context during development, but token costs compound in production. Tokens accumulate across sessions, users, and tool calls in ways that are easy to overlook. Datadog’s 2026 State of AI Engineering report quantifies the scale of this problem.

How many tools does your team need to answer one question about production? For most enterprise IT teams the honest count is four: a metrics dashboard, a log analyzer, a tracing tool, and the spreadsheet where someone stitches the other three together during an incident. Each of those tools stores its own copy of the truth and sends its own bill.

What happens when a city's traffic signals freeze at rush hour and nobody in the operations center knows why? For the teams running a connected city, that gap between a failure and its first clue is the worst place to be. Smart city monitoring closes that gap. It gives operators a live view of every network, device, and service the city runs. A fault gets caught and traced before citizens ever feel it. Without that visibility, small problems stay hidden until they spread.

Last updated: July 2026. Pricing verified against public vendor pricing pages on July 9, 2026. The monitoring tool market in 2026 is split. On one side, enterprise platforms keep adding features: security scanning, network monitoring, CI/CD integration, cost management. On the other, developer-focused tools are going deeper on what matters during a production incident: how fast you get from alert to the line of code that caused the problem.

Your Node.js app is slow and you are not sure where. The response time dashboard shows spikes but not causes. The logs say nothing useful. CPU looks fine. Memory looks fine. Users are complaining anyway. This is the standard Node.js performance debugging experience. The single-threaded event loop, async-everything execution model, and connection pool sharing across all requests make Node.js performance problems different from what you see in Ruby or Python.