Operations | Monitoring | ITSM | DevOps | Cloud

Every security incident starts as a small signal: an unusual connection, a mistyped command, or a subtle change in behavior. The challenge is that most of these signals are buried in mountains of noise. Modern SOCs process terabytes of telemetry each day, but only a fraction contains real indicators of compromise. Without intelligent detection and prioritization, valuable warning signs get lost in the flood of low-value events.

Your CFO just asked why cloud costs jumped 40% last quarter. You pull up your dashboards, confident in your tagging strategy, until you realize 30% of your spend is labeled ‘unallocated’. This is the moment every FinOps team dreads. It reveals a hidden complexity that even mature organizations struggle with: the challenge of accurately allocating cloud costs in a way that’s both granular enough to be actionable and trusted enough to drive decisions.

From the time I joined CloudZero almost two years ago, one thing was unmistakably clear: the team here had built the most powerful cost allocation engine in the FinOps industry. It was also clear that this power came with something of a tradeoff. While engineers and technical FinOps practitioners loved what our YAML-based CostFormation engine could do, the experience wasn’t always simple for non-technical people getting their hands on the product for the first time.

Coralogix Real User Monitoring (RUM) already gives teams a complete view of how users experience their websites. Now, that same visibility comes to mobile. With Session Replay for iOS and Android, you can watch real sessions unfold and understand exactly what users saw and did, without relying on vague support tickets or incomplete crash logs. Session replay captures exactly how users interact with your mobile app: taps, swipes, scrolls, and screen transitions.

Engineering teams need to deliver reliable, secure, and high-performing applications, all while keeping costs under control. But engineers often lack visibility into cloud cost data, relying on finance-driven reports that they receive only after the billing cycle closes. Without daily cost insights alongside observability data, they don’t know until it’s too late that an infrastructure change caused a significant cost increase.

Every network administrator encounters the same question during discovery scans: Should this device be monitored or ignored? Routers are critical, but what about test servers, lab switches, or that aging and unused printer still on the network? Manually deciding for each device creates decision overload and risks overlooking what really matters.