Operations | Monitoring | ITSM | DevOps | Cloud

Customers regularly come to us looking to solve their observability problem by connecting the dots from frontend to backend. It sounds straightforward in theory, but in practice it's one of the hardest problems in modern application monitoring. The frontend monitoring tools they already have in place tend to be proprietary or narrowly scoped to frontend needs, leaving them without the context-rich backend data that makes real triage possible.

Internal visibility isn’t enough for modern incident response. Your app team has three dashboards open and everything looks fine. CPU is healthy, memory is stable, the application servers are responding normally. But users are still complaining. The checkout page is slow. Logins are timing out. Support tickets are piling up. And your monitoring tools have nothing useful to say about why.

Today we’re launching Lightrun AI Skills, structured, repeatable investigation workflows built for AI coding agents. With Lightrun MCP, agents like Claude Code, Codex, and Cursor can already instrument live production services and reason over live runtime evidence without a redeployment. But AI agents remain non-deterministic by design, using the same tool differently every session.

When your mail server connects to a recipient server to deliver email, the very first thing it does after the TCP connection is established is introduce itself. That introduction happens through the EHLO command (or its older predecessor HELO), and it looks like this: That hostname in the EHLO line is your SMTP banner. It is what your server claims to be.

The Start of Authority record is the first record in any DNS zone file. It's the record that says "this zone exists, this is the primary nameserver in charge, and here are the timing rules that govern how this zone behaves." A full SOA record looks like this when you query it: Each of those numbers does something different. The one that triggered your warning is the Expire value, the fourth number. In this example, 1209600 seconds, which is exactly 14 days.

Kerberos is a secure network authentication protocol that allows users and systems to prove their identity over a network without sending passwords in plain text. It is widely used in enterprise environments (for example, in Windows domains) to enable single sign-on (SSO). At its core, Kerberos uses a trusted authority called the Key Distribution Center (KDC) to issue encrypted “tickets” that verify identity.

It’s 2:00 AM on a Saturday. An energy company’s thermal storage system temperature violently spikes past safe operating thresholds. The monitoring system instantly fires off an emergency alert via a standard Verizon email-to-text gateway. But instead of waking the engineer, the message is delayed by the carrier network. By the time the on-call responder sees the text hours later, the equipment has failed, resulting in catastrophic downtime.

Over the weekend, my own site went down and Oh Dear didn't catch it. The origin server had fallen over, but Cloudflare happily kept serving the cached HTML. Everything looked fine from the outside. Embarrassing. Scratching our own itch here, we just shipped magic variables: short placeholders you can drop into your monitor URL, request headers, or POST payload. Right before each check, we replace them with fresh values, so every request is unique enough to slip past any cache and actually hit your origin.

Measuring AI’s impact on your engineering team is harder than it sounds. Headlines claim AI writes 30% of code and doubles productivity, but those numbers rarely match what you see on the ground. Without a dedicated dashboard that blends leading indicators, anti-gaming safeguards, and ROI reporting, you cannot answer the question that matters most: is AI helping your team ship better software faster?

Choosing the right Git extension for your VS Code setup can make the difference between a smooth workflow and hours lost hunting for context. GitLens, developed by GitKraken, and VS Code Git Graph both aim to enhance your Git experience, but they approach the problem differently. This article ranks both extensions across key workflow scenarios – merge conflicts, commit history, code review, debugging, UX, and performance – so you can pick the right tool for how you work.