Operations | Monitoring | ITSM | DevOps | Cloud

Teams running LLM applications in production face a cost problem that traditional APM tools were never designed to solve. CPU and memory costs are relatively predictable — a web service processing 1,000 requests per second costs roughly the same week over week. LLM API costs are not. A single user session can cost $0.01 or $5 depending on prompt length, model choice, conversation history, and how many retries happen inside your chain.

Go 1.20 introduced an experimental arena package that lets you allocate many objects from a contiguous region of memory and free them all at once — bypassing the garbage collector entirely. The package remains experimental and its future is uncertain, but arenas are a valuable concept for understanding Go memory management and writing high-performance code. The arena package is experimental and on hold indefinitely. The Go team has made no guarantees about compatibility or its continued existence.

You probably should avoid ctx.WithTimeout or ctx.WithDeadline with code that makes network calls. Here is why.

This article explains how to use opentelemetry-go Metrics API to collect metrics, for example, go-redis/cache stats.

Understanding Splunk pricing is crucial for organizations evaluating SIEM solutions. This guide examines licensing models, actual costs, and essential pricing factors to help you make an informed investment decision for your security and monitoring needs.

OpenTelemetry backends provide storage, analysis, and visualization for telemetry data (traces, metrics, logs). This guide lists available OpenTelemetry-compliant backend options, categorized by use case: APM platforms, storage backends, visualization tools, and distributed tracing systems. For detailed comparison, see OpenTelemetry Backend Comparison.

Managing Docker container logs is essential for debugging and monitoring application performance. Tailoring Docker logs allows for real-time insights, quick issue resolution, and optimized performance. This guide focuses on efficient methods for tailing Docker logs, with clear examples and command options to streamline log management.

The kubectl logs command retrieves container logs from Kubernetes pods. It supports real-time log streaming with -f, time-based filtering with --since, viewing previous container instances with --previous, and accessing logs from specific containers in multi-container pods using -c.

Node.js applications power millions of APIs, microservices, and real-time systems. But without proper monitoring, performance issues, memory leaks, and errors can go undetected until they impact users. This guide explains how to monitor Node.js applications in production, what metrics to track, and which tools deliver the best results.

A queue quietly fills up overnight. Memory hits the configured watermark and RabbitMQ blocks all publishers. Your entire message pipeline freezes, and you discover the problem when users start complaining. This scenario repeats across thousands of production systems because teams don't monitor RabbitMQ properly. The broker exposes comprehensive metrics, but most engineers don't know which ones predict failures or how to track them.