Operations | Monitoring | ITSM | DevOps | Cloud

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.

Both user and server-side monitoring are important to make your apps better. Tools that offer monitoring of just one side leave gaps in your diagnosis, causing negative experiences and reliability issues. Here are the top 10 tools you should consider based on their benefits and coverage.

We’ve been working on a number of items here at InfluxData to give you even more options for creating visualizations and dashboards for your time series data in InfluxDB 3.

In today’s high-performance data centers, “all green” dashboards can mask catastrophic issues hiding just beneath the surface. If you’re missing the microbursts, hidden oversubscription, and routing imbalances that are devastating application performance, you’re flying blind. Learn how to close these visibility gaps and shift from reactive firefighting to proactive network intelligence.