Operations | Monitoring | ITSM | DevOps | Cloud

Major US banks have found AI agents operating inside customer accounts, signed in with credentials customers handed over themselves. Nothing was breached. The agents authenticated correctly, and some of them still did things nobody asked for. That gap between having access and having authority is the agentic AI security problem every enterprise running agents now owns.

Improving an AI agent means knowing which behaviors to change and where those changes will have the greatest impact. Insights in Datadog Agent Observability improves AI agents by analyzing agent traces to identify recurring cost and reliability problems. It then explains the causes of those problems, assesses their impact, and recommends fixes backed by evidence. At Datadog, we use Insights to improve the agent behind Insights.

The best incident management software in 2026 depends on your team’s response workflow: OnPage for SMB and enterprise IT and digital operations teams prioritizing persistent critical alerts and on-call escalation, PagerDuty for large organizations with complex routing and integration requirements, and incident.io for engineering teams coordinating incidents in Slack.

Building automation systems help facility managers monitor equipment, optimize building performance, and detect potential issues before they become major disruptions. However, detecting an issue is only the first step. Ensuring the right technician receives and responds to a critical alarm is equally important. Johnson Controls Metasys is a building automation system (BAS) that enables facility teams to monitor and control HVAC equipment, lighting, energy usage, and other connected building systems.

A critical security vulnerability can put an entire business at risk before IT teams have even established where the problem lies. For CIOs, that means needing immediate answers about which systems are exposed, how essential business services could be affected and how quickly their teams can get ahead of the threat. That was the challenge facing organizations on October 21, when two critical PHP vulnerabilities, CVE-2026-109618 and CVE-2026-109619, emerged.

More customers, businesses, and consumers are beginning to care more about where their data is stored, who can access it, and how to keep the cloud private.

Running several coding agents at once is pretty straightforward. Give each a task, let them work independently, and you can make progress on multiple things at the same time. But the more agents you have working, the more changes you need to coordinate. Agents can edit overlapping code, make conflicting assumptions, or finish work that depends on changes another agent hasn’t completed.

Starting new software work has never been easier. Developers can assign tasks to multiple coding agents, let them work independently, and turn their attention elsewhere while those agents write, test, and revise code. As models improve, teams have more opportunities to pursue work that previously would have waited. Getting all that work validated and merged is another matter. The 2026 State of Software Delivery Q3 Pulse report shows teams working across more branches and projects.

A tricky Google Cloud support ticket that spanned GKE, Private Service Connect (PSC), Networking, Hostnet, Kernel, and the Linux kernel itself.

Coroot's node-agent has had an eBPF CPU profiler for a long time. When something burns CPU, you open the flame graph and see which function. When something waits for the disk, you have nothing: the CPU profile is flat, because waiting does not consume CPU. The metrics for disk problems are always the same. Latency on a volume goes up, utilization hits 100%, queries slow down. Every chart agrees the disk is the bottleneck, none of them says what the database was doing while it waited. Flushing pages?