Operations | Monitoring | ITSM | DevOps | Cloud

We’ve gotten used to understanding our applications through signals, summaries, and traces. Tiny little bits of information about how the app really works. Not because that’s the best way to do it, but because it’s been too hard to get the real thing. The real information exists. It’s on the network. How people called your app and what your code did. What other systems it called, the database queries it made, and the result sets that came back.

We are pleased to announce the release of Excel Add-ins 3.0, a major update to our Excel Add-ins for databases and cloud applications. The new version adds support for Microsoft Excel 2024 across all products. It also includes new database versions, expanded object and report support, improved data type handling, and enhanced connection security.

A multi-hypervisor environment is an infrastructure in which multiple virtualization technologies coexist. Common drivers include mergers and acquisitions, hybrid cloud strategies, workload-specific optimization, and the avoidance of vendor lock-in.

On June 9, 2026, the OpenSSL project released patches covering 18 vulnerabilities across its supported releases. The headline flaw, CVE-2026-45447, is rated high severity and has the potential for remote code execution. Not too long ago, a security advisory with 18 vulnerabilities would have been routine. Microsoft’s Patch Tuesday provided a predictable cycle, and organizations operated with the expectation of a meaningful remediation window. That model is under pressure.

How many tools does your team open before anyone can say why production is slow? If the answer is more than two, you are paying for that gap in engineering hours every week. We understand the frustration. So we did the research work for you to help you pick the best observability tools.

Sentry’s job is to tell you when your app breaks. To do that, we group individual errors into issues. First by fingerprinting, which lexically matches errors based on their structure, then by an AI fallback: when fingerprinting can’t find a match, an ML model compares the new error’s stacktrace against existing issues and merges it if they’re semantically similar.

If anyone knows how to operate under scrutiny, it’s database teams within finance organizations. It’s a given considering the more rigorous compliance requirements and processes they must follow. But the 2026 State of the Database Landscape: Finance Edition reveals something more specific, and more uncomfortable, than the familiar story of regulatory pressure.