Operations | Monitoring | ITSM | DevOps | Cloud

In microservices and cloud-native environments, vulnerabilities buried in transitive dependencies or runtime behaviors can go undetected for weeks. During that time, your attack surface keeps expanding and production systems remain exposed. The longer remediation is delayed, the greater the risk of exploitation, compliance failures, and operational disruption.

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.

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.

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.

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.

Picking an SQLite ODBC driver is like choosing a key; you need one that opens every door cleanly, without snapping or jamming. The right driver must connect your data effortlessly—no errors, no limitations. It also has to withstand real challenges: complex queries, cross-platform environments, and large datasets. In this guide, we’ll show you which 2026 drivers stand up to these demands, so you can pick the one that won’t let you down.

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.