Operations | Monitoring | ITSM | DevOps | Cloud

Modern IT teams are experimenting with AI agents. But individual agents, working in isolation are not enough. To truly achieve Agentic IT Operations, organisations need a platform — one that coordinates, governs, and contextualises AI-driven actions across the entire IT landscape. That’s where Interlink Software comes in.

Coroot is an open source observability tool that uses eBPF to collect telemetry directly from applications and infrastructure. One of the things it does is capture L7 traffic from TLS connections without any code changes, by hooking into TLS libraries and syscalls. Works great for OpenSSL. Works for Go. Then rustls enters the picture and everything stops being obvious. With OpenSSL, everything is nicely wrapped: From eBPF’s point of view this is perfect: Everything happens inside one call.

In the shift left era where it feels like we’re pushing everything as far to the start of the SDLC as we can, it may seem counterintuitive to shift anything right. That is, however, exactly what I suggest when it comes to generating metrics. How far you go to the right of the SDLC is a much more nuanced question and is dependent on a lot of factors, and on what metrics you’re talking about.

Technology leaders spent the past decade investing heavily in visibility. They expanded monitoring footprints, adopted cloud-native observability tools, integrated analytics dashboards, and layered on automation intended to streamline detection. Every addition promised deeper insight. Every initiative aimed to bring clarity to increasingly complex environments. Yet operations feel more chaotic, not less. Outages move faster. Incidents cross more boundaries. Signals appear without context.

Have you noticed AI recently? Yeah, us too. Generative AI is wreaking havoc on the software status quo, and that includes licensing, and that generates … opinions. Sentry has a long history of having opinions about software licensing. We started life as an unlicensed side project in 2008, then went through BSD, to BSL, to writing our own license, FSL.

The world is generating data at a pace that defies the human ability to draw insights and comprehend. By 2028, we’ll reach almost 400 zettabytes of global data—with over 55% of it coming from machines talking to machines. For enterprises, this isn’t just a storage problem; it’s an existential challenge.

This is a guest post from udara.ratnakumara. In a recent webinar I hosted with my colleague Chris Hawkins, Inside a DBA’s Day: What Really Happens and How to Stay Ahead, we talked through the realities of a typical DBA day and the practical ways teams can stay ahead of issues rather than constantly reacting. For many DBAs, the day doesn’t start with coffee. It starts with an alert. A report is suddenly slow. An application query is timing out.

Note: This blog post is co-authored by Daniel Shechter, CEO and co-founder of Miggo Security. Modern runtime security is critical to understand complex systems and detect and protect against attacks, especially in rapidly evolving cloud native architectures. For many security teams, however, achieving deep visibility into runtime risks remains a moving target.

This is a comprehensive reference of every HTTP status code defined in the HTTP specification (RFC 9110) and common extensions. Use it as a quick lookup when you encounter a status code in your browser, server logs, or API responses. For a beginner-friendly guide to the most common codes, see From 200 to 503: Understanding the Most Common HTTP Status Codes.

Your monitoring fires at 2 AM. The on-call engineer picks up but doesn't know who to call next, what information to include, or which Slack channel to use. Sound familiar? That's what happens when escalation procedures exist only in people's heads — or worse, don't exist at all. The fix isn't complicated: a documented escalation procedure that every team member can follow under pressure. The problem is building one from scratch takes hours.