Operations | Monitoring | ITSM | DevOps | Cloud

AI coding agent sandboxes compared for 2026: OpenAI Codex, Cursor cloud agents, Claude Code, GitHub Copilot agent and Qovery. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

We’re excited to announce the new StatusGator SharePoint integration. Many organizations use SharePoint as the central hub for company resources, communications, and internal tools. Now, you can add real-time service status directly to your SharePoint pages, helping employees stay informed about outages, maintenance, and service disruptions without leaving the platforms they already use every day.

For years, monitoring was the gold standard of infrastructure management. Dashboards. Thresholds. Alerts. If everything on the dashboard was green, you didn't need to worry. If something turned red, you responded. It was a model built on predictability, and for a long time, it worked. But modern infrastructure is no longer predictable.

If you run a platform tools or security team, you have likely heard this request from developers: “I just need a copy of the production database for staging so I can run realistic load and integration tests.” It is a completely reasonable request. Production traffic and data contain the actual request shapes, real-world value distributions, long-tail anomalies, and timing patterns that make tests useful.

If you've ever joined an incident call only to discover the monitor for the affected service was either misconfigured, deleted, or never set up in the first place—you already understand why monitoring as code (MaC) exists.

When a critical application crashes, how does your IT team respond? Is there a documented process everyone follows, or does the outcome depend on who happens to be available at the time? Without structured service management, responses often vary from one situation to another. hat inconsistency leads to delays, missed handoffs, and slower resolution of issues. Requests become harder to track, and recurring problems continue to disrupt day-to-day operations.

Satellite operations depend on telemetry as the primary interface to systems that teams cannot directly inspect. Once a spacecraft reaches orbit, signals such as battery levels, temperature, signal strength, and fault codes become the foundation for understanding system health and maintaining control. Telemetry streams continuously, so the underlying data system becomes a critical control point that needs to handle a constant, heavy flow of data.

This month brings a batch of practical Flyway Desktop and GitHub Actions improvements, a closer look at what auditable database change management means under DORA, and some news we're proud of: Redgate Flyway has been named a Leader in the latest G2 report. Here's the round-up.

Across two AWS Summit events in London and New York City, we had the chance to speak with more than 1,000 engineers. They came from startups building their first production stack, and enterprises managing large AWS and multi-cloud deployments. The energy was exactly what you'd expect: major AWS launches, dozens of new service announcements, wall-to-wall cloud conversations. And HAProxy right in the middle of it.