Operations | Monitoring | ITSM | DevOps | Cloud

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.

A senior CSM managing 25 enterprise accounts can run effective QBRs, identify expansion signals, and execute renewal preparation with discipline. At 50 accounts, the function becomes reactive. Reactive customer success is the most reliable leading indicator of declining NRR (Net Revenue Retention).‍ The default response has been headcount. It no longer works.

Each year, there are increasing risks to the security of cloud data and our online privacy. Cloud storage statistics help us understand these risks in the cloud, how to prevent them, and which is the best cloud storage you can choose to protect your data. Throughout this article, we will cover: By understanding the common security risks in the cloud, we can also learn how to prevent them with cloud storage services and online privacy tools.

As enterprises embrace hybrid work models, SaaS-driven technology stacks, and highly distributed digital workplaces, employee experience has become inseparable from business performance.For years, IT investments were focused for customer-facing digital journeys, and internal systems were not a priority. However, the scenario has changed. Today, every employee relies on a complex and interdependent chain of endpoints, networks, cloud services, identity platforms, and business applications.

Every monitoring vendor on the market now has an AI story. AIOps has moved from category buzzword to standard line-item in IT operations strategy, and the reasoning is sound: as infrastructure spreads across cloud, hybrid, microservices, and virtualized platforms, the volume and velocity of operational data has outrun what human teams can process. AI-powered monitoring is the obvious answer.