Operations | Monitoring | ITSM | DevOps | Cloud

"Every website was once designed for people. That assumption is beginning to change." For nearly three decades, the internet has worked in a predictable way. Whenever we wanted to know something, we searched for it, clicked through a few websites, compared information, and made a decision. Whether it was buying a new phone, planning a vacation, or researching software for work, businesses knew exactly how people behaved online.

As businesses in India embrace the cloud, a critical question looms: Where does your data really live, and who controls it? India's cloud market is estimated at USD 26.43 billion in 2026, growing at 21% annually with projections reaching USD 68.82 billion by 2031. This rapid expansion underscores the strategic importance of cloud infrastructure in the country, but with growth comes growing urgency.

GitBench is our attempt to see how well LLMs handle git-specific tasks. We put together a suite of 17 benchmark categories with a total of 204 specific test cases. We ran these benchmarks against 43 (and counting) different models with all of their supported effort/reasoning levels.

There’s a difference between seeing a problem and preventing one is not a question of tooling. It is a question of operational posture. Across eleven operator interviews at Nexus Live, a consistent pattern emerged. Teams are not struggling because they lack visibility. They are struggling because visibility alone does not produce confidence. Alert floods, late root cause discovery, and 3am escalations have become normalized in hybrid environments. The result is not just fatigue.

Every time a client connects to your server, a small negotiation happens before a single byte of application data moves. That negotiation, the TLS handshake, is what makes encrypted web traffic possible. It's also at risk of being recorded. Not the content of your sessions, but the handshake itself. And that's enough. A well-resourced attacker doesn't need to break your encryption today.

Agentic AI has moved quickly from experimentation to enterprise planning. IT leaders are no longer asking whether AI agents can summarize tickets; they’re asking a more important question: Can agentic AI actually complete work consistently and measurably? That is where agentic process automation becomes critical.

Not all alerts are created equal. Some are resolved quickly by the on-call engineer. Others signal something serious enough to affect your business and require your whole team to coordinate. That is why we redesigned incidents as a dedicated coordination workspace for the alerts that have the most business impact.‍ Until now, incidents in ilert were used to communicate status updates to customers and stakeholders. Creating one meant publishing to your status page. We have separated the two.