Operations | Monitoring | ITSM | DevOps | Cloud

When a critical incident triggers, there’s no time to figure out who to call. That decision needs to be made well before the incident arrives. A dedicated escalation policy for critical incidents gives your team a clear path to follow the moment things go wrong, rather than leaving it to whoever happens to be around. This guide covers the key decisions involved in building that policy.

Low-priority incidents are easy to deprioritise in the moment. Each one feels small and manageable. But without a proper escalation policy, they pile up quietly and reviewing them later often tells a different story. A simple escalation policy is usually all it takes to keep them from slipping through entirely.

Setting up an escalation policy for the first time can feel like standing at a crossroads with no clear sign pointing the way. You could escalate based on severity, by team, or by who’s available and all of them are valid. Knowing which one fits your situation is the hard part. Think of this guide as your compass for that decision.

Increasingly, enterprises are interested in improving their level of control over their data, achieving digital sovereignty, and even building their own sovereign cloud. However, this means moving beyond thinking about just where your data is stored to thinking about the entire data lifecycle. In this blog, we cover the differences between data residency and data sovereignty, how confidential computing works to enhance the security of your data, and can support you in achieving digital sovereignty.

SQL Prompt's February releases focused on compatibility and stability, with a critical fix for SSMS 22.3 users and several features graduating from experimental to fully supported.

In March 2026, CloudZero’s Ben Austin, Director of Product Marketing, sat down with Ray Rike, Founder and CEO of Benchmarkit, to walk through findings from FinOps in the AI Era: A Critical Recalibration, a joint survey of nearly 500 organizational leaders on how they’re managing or, rather, struggling to manage AI costs.

Short Summary: In this guide, we address performance problems that occur when PostgreSQL queries very large tables containing low-cardinality boolean fields. It also demonstrates how composite indexes, created and tested with Devart tools, allow PostgreSQL to locate the required rows directly instead of scanning the entire table.

Short Summary: This article explains how to expand your CLI query tool so it can handle multiple databases. First, we focus on key relational systems, then move to data warehouses. We’ll use dbForge Edge as a reference point, showing how different databases can be managed in one place while keeping automation simple.