Operations | Monitoring | ITSM | DevOps | Cloud

The bell rings. Last call for 398-day certificates is March 15. After that, every CA is required to cut you off at 200 days. Some have already stopped serving them early. The rest follow in two weeks. The irony of good certificate management is that when it works, nobody notices. No alerts, no outages, no 2am pages. The only time it gets attention is when something expires. Which means the teams doing it well rarely have the budget or the political capital to fix the process before it breaks.

AI is creating an overwhelming surge of digital artifacts and software components. The key to success is learning how to ride, secure, govern, and manage that wave – rather than being overwhelmed by it. This weekend, I asked my team to watch Chasing Mavericks. Jay Moriarity (not J-Frog, but stay with me) was one of the most driven and determined surfers imaginable. His courage and spirit were extraordinary. But those virtues were shaped and refined by his mentor, Frosty Hesson.

More and more often, infotainment systems are being developed and delivered like software, yet often they are still tested and validated using hardware-centric processes. This is far from ideal: access to devices is limited, environments are difficult to reproduce, and iteration slows down as soon as multiple teams need to work in parallel. These challenges become even more visible as cockpit systems move toward wide displays and high resolutions.

Front-end deployment is usually introduced as the easy part of web app deployment. "Build the assets and push them." Seems simple, right? Yet on the contrary, those 6 words have most likely caused more production issues than most error messages. Because while front ends do look simple, they are actually a delicate stack of assumptions wearing a UI that is misleadingly easy to use.

This is part two of a series of the implications of AI generated code becoming mainstream. We recently wrote about how AI-generated code is overwhelming SRE teams with production complexity they can’t manage. Turns out that’s only half the problem. The other half shows up on the cloud bill. A prospect reached out to us last month. They’d been using Cursor and Claude Code for six months, shipping features at unprecedented velocity. Product was thrilled.

As digital transformation accelerates, the underlying infrastructure supporting your enterprise or service provider network faces unprecedented pressure. The exponential growth of data, driven by cloud computing, 5G, and particularly Artificial Intelligence (AI), demands a fundamental rethink of how you approach connectivity.