Operations | Monitoring | ITSM | DevOps | Cloud

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.

When developers monitor application performance, they pick one of two paths: traditional APM tools with distributed tracing and code profilers, or metrics-driven monitoring with Prometheus. The second approach — Prometheus APM — tracks the signals that matter most: request rates, error rates, latency, and resource utilization. No agents to install, no per-host pricing, just exporters and PromQL. For most teams, Prometheus APM is where monitoring starts.

In the previous post, What is OpenTelemetry?, we went over the What, Why, and the How of OpenTelemetry. We also went over the telemetry data lifecycle (data generation à collection à storage à usage) and how telemetry data (MELT) could be put to use to troubleshoot a representative web application scenario.

In the first two parts of this series, we introduced Angular Signals and built a reactive shopping cart. Our CartService already supports core operations like adding, removing, and clearing items, as well as computing total price and item count using computed(). All of this was done without touching RxJS, subscriptions, or change detection hacks. But a real-world cart does more than tally up numbers.