Operations | Monitoring | ITSM | DevOps | Cloud

The Three Pillars Were Built for Humans

It was 2am and I was paying for the privilege. Something was on fire in production, and I’d done the modern thing: I pointed an AI agent at it. It ingested the dashboards. It read the logs. It walked the traces. Then it handed me back a beautifully formatted paragraph that said, in effect, “latency is elevated on the checkout path.” I knew that. The page told me that.

Notes from the Field: Understanding "Lost connection" LAS activations in Citrix Virtual Apps and Desktops

With the transition from file-based licensing to the License Activation Service now complete, many Citrix administrators are spending more time in the Citrix Cloud licensing portal. As organizations continue to operate and troubleshoot LAS-based Citrix Virtual Apps and Desktops environments, it becomes increasingly important to understand what the licensing dashboard is actually showing.

5 Reasons OnPage Tops the Best HIPAA Messaging Apps List

Choosing a HIPAA-compliant messaging app is rarely about security alone. Healthcare teams need messages that get read, on-call schedules that route to the right provider, and reliability that holds up at 3 a.m. Most apps clear the encryption bar. Fewer guarantee a missed page never happens. Or that critical alerts from medical systems and urgent after-hours calls from a discharged patient reach the right on-call staff.

What's New in InfluxDB 3 Explorer 1.9: Flux-to-SQL Conversion, InfluxQL Support, and More

InfluxDB 3 Explorer 1.9 makes it easier to work with your existing queries. Whether you’re migrating Flux queries to SQL or you’ve been writing in InfluxQL for years, this release helps bring your existing queries forward instead of starting from scratch. For teams moving to v3 from earlier versions of InfluxDB, query migration is often one of the last major hurdles.

Debug and evaluate your AI app from your coding agent with Datadog Agent Observability

Coding agents like Claude Code, Cursor, and Codex CLI handle the coding parts of building an AI application well. The harder work comes after: understanding why a response went wrong, building eval sets that reflect real production behavior, and keeping up with an application that changes faster than any one-off script can. Teams spend 60–80% of their time on evaluation and error analysis, and much of that work needs to be redone every time the stack shifts.

5 pitfalls to avoid when measuring DevEx in the AI era

Developer experience, commonly known as DevEx, describes how an organization’s systems, workflows, tools, and culture affect developer productivity. A positive DevEx leads to tangible organizational benefits, including faster releases, increased innovation, and reduced technical debt. Measuring DevEx enables engineering management to quantify their team’s impact and understand where to direct improvement efforts.