Operations | Monitoring | ITSM | DevOps | Cloud

Financial-services organizations may already have multiple tools telling them what exists across their environment. The problem is that those tools do not always agree. An endpoint platform may recognize a device that a vulnerability scanner does not. A network system may identify an active device that is missing from another asset record. The same device may even appear under multiple names across different platforms. That creates a simple but important question: Which view can you trust?

How WhatsUp Gold 360 Notification Management routes the right monitoring events to the right people, channels and schedules—and where the experience could go next.

"Event-driven architecture" has become one of the most overloaded phrases in software engineering. The phrase simultaneously means a simple pub/sub notification system, a full event-sourced domain model, a saga for distributed transaction coordination, and a CQRS read/write separation. These are architecturally distinct event-driven architecture patterns with different trade-offs, different failure modes, and different operational complexity requirements.

Engineering organizations spent the past decade learning to measure developer and team productivity. Measurement of the organization itself did not keep pace. Now that agents are responsible for writing most of the code across many engineering organizations, it’s more important than ever to have an effective methodology for measuring productivity.

A network monitoring platform can handle more than 1,000 devices, but the device total is only the starting point. A workable design must keep polling cycles on time, preserve visibility during failures, control notification volume, support the devices you own, and recover cleanly when the monitoring system itself has a problem. Crossing 1,000 monitored devices changes the job.

How many containers are running in your production environment right now that nobody can see inside? A vendored service, a compiled binary, an application whose build pipeline left with the developer who wrote it: each one runs, serves traffic, and reports nothing. Instrumenting those workloads means a code change, a rebuild, and a redeploy, and on these containers none of the three are available.

Splunk charges you in one of two ways: by how much data you send it each day, or by how much compute your searches and dashboards use. Security teams pay for both the platform and Splunk Enterprise Security, the app that turns Splunk into a SIEM, which is priced separately on top. This guide breaks down every part of a 2026 Splunk bill, works through a real, sourced pricing example, and lays out the ways to bring the number down, including the one lever many teams overlook.

Authored by Sven Delmas, VP of Research at Mezmo I wanted to know what Mezmo's new trace features feel like with real telemetry behind them, so I built the smallest honest rig I could: the OpenTelemetry demo application running in a local Kubernetes-in-Docker cluster on my machine, one collector, and one deliberately simple Mezmo pipeline.

Instead of building a separate role for every team, region, or department, admins can create a single role that automatically personalizes access for each user based on their SSO attributes. Someone moves teams or a new group gets created, and the new access takes effect at their next login with no CloudZero configuration. As AI spend grows, more companies are looking to give teams visibility into their own AI costs without exposing every individual’s usage across the org.