Operations | Monitoring | ITSM | DevOps | Cloud

In 2026, I think it’s safe to say that most mobile devices in enterprise organizations aren’t purchased just for their ability to make calls. And for millions of employees, especially frontline workers, their primary device isn’t even a laptop anymore - it’s a smartphone or tablet. Yet, mobile device insights have largely remained a blind spot for IT.

TL;DR: Customer Zero proves a unified observability model—ingest → detect → investigate → automate response—on a single platform for faster, end-to-end operations.

When users complain that an app or website is slow, the first question is always the same: Is it the network or the application? HTTP monitoring gives you the answer. Network metrics like latency and packet loss tell you what's happening on the wire. But they don't tell you whether users are actually feeling the impact. HTTP monitoring closes that gap.

Over the past 11 years, we have focused on one problem: ensuring complex conversion journeys work reliably in the real world. Across ecommerce platforms, travel services and large consumer websites, these journeys are where revenue is generated and where reliability matters most. In 2026, our focus sharpens further. The theme for the year is simple: Higher signal trust. Deeper intelligence. Stronger operational resilience.

PHP has evolved over the years and has become a lot more reliable, faster and refined. And with the release of PHP 8, which contained many features (named arguments, union types, attributes, constructor property promotion, match expressions, the null safe operator (?->) etc) and optimizations (JIT compiler), PHP has become more faster and cleaner. There are many more improvements and interesting features in the later versions of PHP 8. The 4 features I now rely on and wish PHP had introduced much earlier.

Most operational waste comes from fragmented workflows rather than individual performance constraints. An incident begins long before any fix is applied. Alerts trigger, tickets open, and engineers start reconstructing context across systems that were never designed to operate as one. Logs, metrics, past incidents, and runbooks sit in separate tools, each requiring manual lookup, interpretation, and validation before any decision can be made.

There was a time when SaaS felt predictable. You built something useful, scaled it, and charged a subscription. If the software did well enough, growth followed. It wasn’t easy, but it was clear. There was a sense of direction, a playbook that most companies seemed to follow, tweak, and succeed with. Ironically enough, the same playbook gave birth to numerous tech giants as we know them today. Now, that clarity feels different. Not entirely gone, but blurred. If you work in SaaS, you can feel it.