Operations | Monitoring | ITSM | DevOps | Cloud

In the last post we discussed why we’re building our own Certificate Transparency (CT) search tool. There’s good background on the CT ecosystem in that post, so check it out if you haven’t. This post assumes a certain understanding of terminology covered previously. Now that we know where the CT logs live, and the different kinds of logs, we need to start reading them.

Vendor lock-in remains one of the most significant concerns when choosing a cloud platform. When your data becomes trapped in proprietary formats or services, migration costs skyrocket and your flexibility disappears. This challenge affects organizations of all sizes, from startups planning for growth to enterprises managing complex compliance requirements.

It is no longer news that MariaDB 12 has officially landed, and it’s making waves across the database world. For over a decade, MariaDB has been the go-to open-source database for developers and businesses seeking a stable and innovative MySQL-compatible platform. This new release further enhances its value. MariaDB 12 delivers major performance upgrades, new features, and significant redesigns to enhance speed, scalability, and developers’ experience.

Cursor is fantastic at cranking out code changes. I recently used it to splice a brand-new downstream API call into one of our Go microservices, and the diff looked great. The unit tests finished before I lifted my coffee mug, yet I still had zero certainty the change would survive contact with real traffic. That gap is all about integration tests, so I paired Cursor with proxymock and the outerspace-go demo service to prove the behavior end to end.

Redgate took the main stage earlier today to open PASS Data Community Summit with our keynote, where we shared our vision for the future of the database development experience – one driven by speed, safety, and the intelligent use of AI. As data estates grow in scale and complexity, and as organizations push to deliver software faster than ever, the role of the database is undergoing significant change.

Everyone wants to move faster with AI, but few are truly ready for it. This is where organizations can position themselves better as AI readiness isn’t just about algorithms, it’s about whether your data, systems, and teams are prepared to support intelligent automation safely and effectively.

OpenTelemetry now supports maps, heterogeneous arrays, and byte arrays across all signals. Here’s where these new types shine — and where simple primitives still fit naturally. If you’ve been working with OpenTelemetry for a while, you’re likely familiar with the straightforward key-value approach to attributes. It’s simple, fast, and works well with how most telemetry backends store, index, and query data.

As cloud applications moved from VMs to containers and then to microservices, the amount of background work needed to keep everything running grew just as quickly. You gain speed and flexibility, but you also end up managing clusters, scaling rules, and capacity choices that don’t really add to the product you’re building. AWS Fargate steps in right there. It lets you run your ECS tasks without looking after any servers at all.