Operations | Monitoring | ITSM | DevOps | Cloud

The customer satisfaction survey is more than a metric. It is the tool that connects users’ real-world experiences to the decisions shaping the future of Collective IQ. At Almaden, we believe that a product is not built solely on technical requirements or market trends. Above all, it is built by listening to the people who use it every day. That is why Net Promoter Score (NPS) plays a central role in our strategy. It is not just a number.

Many engineering organizations first encounter SOC 2 when a customer or prospect requests proof of compliance before proceeding with a relationship. Access controls, change management processes, logging configurations, vulnerability scanning, and incident response procedures all need to be in place, documented, and producing evidence before an auditor evaluates them. A 2026 benchmark of 75 SOC 2 examinations found that these engineering-owned areas were the most common sources of exceptions.

If you work with robots, perhaps you’ve come up against a common, but annoying situation: the one field run that mattered is the one nobody recorded. Or it was recorded but the ROS 2 bag (a recording of ROS 2 topics) is sitting in the robot’s storage, at a customer site, three time zones away. This issue is commonly caused by manually starting ros2 bag record and using scp to copy gigabytes off the robot after every test, which just does not scale.

Q3 2026 has been one of the greatest quarters for VictoriaMetrics Cloud, and that is thanks to the whole team, including open source, of course. The big milestone is that VictoriaTraces is now part of VictoriaMetrics Cloud, which means that the full VictoriaStack lives in one managed place, with a single bill and the same experience users already know.

We gave five metrics backends the same budget, the same week of data and the same ten queries, then ran those queries at rising concurrency. At one query at a time, the open source engines looked strong. Under concurrency, two of them stopped answering, and the rest slowed down by an order of magnitude.

Configuration Management Databases (CMDBs) have long played an important role in IT Service Management, providing a structured record of technology assets, their configurations and relationships. For enterprises managing complex IT environments, they remain a valuable foundation for understanding infrastructure and supporting operational processes.

For the last few weeks I’ve used a coding agent to find and fix backend performance issues in Sentry, starting from the traces Sentry sends to itself. Most of the fixes only changed a line or two. But together, they removed hundreds of millions of queries a week, and some expensive lookups became hundreds or thousands of times faster (more details on that below).

Teams that build agents on open models hosted on Fireworks AI, such as GPT-OSS, Kimi, GLM, Qwen, and MiniMax, need a reliable way to measure whether their LLM applications and agents are giving accurate, safe, and helpful answers efficiently. Datadog Agent Observability now supports Fireworks AI as a model provider, so you can get end-to-end visibility into your agents built on Fireworks AI, from traces and token usage to quality evaluations.

AI can already tell operations teams what is wrong. The harder part is everything between knowing and doing. Skylar is closing that gap through guided action: recommendations grounded in live operational context, reviewed by the right owner, and connected to governed execution. In many post-incident reviews, the surprising moment is not when the team finally understood the problem. It is when they realize how long the organization waited after it already knew enough to act.

Running multiple AI coding agents in parallel across repositories sounds like a productivity multiplier. In practice, it creates a coordination problem: conflicting file edits, orphaned branches, and zero visibility into which agent finished what. AI coding agent orchestration tools exist to solve exactly this, and Kepler by GitKraken gives you one surface to direct every agent from backlog to merged pull request. This guide compares seven tools built for multi-repo, multi-agent development workflows.