Operations | Monitoring | ITSM | DevOps | Cloud

Leverage AI to understand critical incidents in your IT infrastructure! With Applications Manager's AI driven alarm summaries, understand incident cascades to dig down to root cause of performance issues. Reduce cognitive labour and unlock actionable intelligence with the latest version.

Join our network heroes for a high-stakes chase inside modern networks where threats hide in plain sight, moves laterally, triggers no alerts, and exposing why visibility matters.

Quick Answer: Web transaction monitoring is a type of synthetic monitoring that uses scripted browser tests to simulate and validate multi-step user workflows, such as logins or checkouts. It proactively checks application functionality and performance from end-to-end, ensuring critical user journeys work correctly before customers are impacted.

The European directives NIS2 (Network and Information Security Directive 2) and Critical Entities Resilience (CER) Directive have rapidly sharpened the conversation around digital resilience. While many organizations initially viewed these directives as an extension of their cybersecurity obligations, it is becoming increasingly clear that much more is at stake. These directives require a strategic transformation in how organizations manage risks, processes, and responsibilities.

Sometimes the biggest challenges in software aren’t about code — they’re about consensus. What do we call things? What do we standardize? And how do you evolve a system that thousands of companies depend on without breaking everything along the way?

The things that separate a minimum viable product (MVP) from a production-ready app are polish, final touches, and the Pareto 'last 20%' of work. Most bugs, edge cases, and performance issues won't show up until after launch, when real users start hammering your application. If you're reading this, you're probably at the 80% mark, ready to tackle the rest.

Enterprises have never had more access to artificial intelligence and less certainty about what it is delivering. Generative AI tools now sit inside everyday workflows, embedded across productivity software and operational systems employees rely on for critical work. They generate insight at scale, reveal patterns more clearly than before, and offer earlier visibility into potential risk.