Operations | Monitoring | ITSM | DevOps | Cloud

Managing team access in Grafana can be tricky—especially as your organization grows. That’s where Grafana access groups (also known as Limited Access Groups in Hosted Graphite) come in. They allow you to define groups of dashboards and restrict which team members can access them. If you’re using Hosted Graphite with Grafana dashboards, this feature helps you organize teams, maintain data privacy, and simplify access control—all while giving users just the permissions they need.

Looking to visualize your Elasticsearch data with Grafana? This tutorial walks you through setting up Grafana and Elasticsearch using Docker, connecting data sources, and building insightful dashboards for log and metric monitoring.

Redis earns its place in modern stacks because it’s an in-memory data store with microsecond latency and rich data structures, making it perfect for things like caching, sessions, and rate limiting. Since it often sits on the request path, small issues (connection churn, blocked commands, memory pressure) can quickly ripple into user-visible incidents.

Effective monitoring catches problems before users do, and with Promtail, Loki, and LogQL, it’s a lightweight, approachable option for any DevOps team. This guide shows how to monitor Docker itself (pull failures, restarts, health flaps) so you’ve got a baseline on container runtime health.

HAProxy is the workhorse in front of countless APIs and apps because it’s fast, lean, and flexible. Because it sits on the traffic hot path, it’s also your earliest warning system when something slows down or breaks entirely. This means that monitoring it isn’t optional. You need to see connection queues and retries, per-stage timings, health-check failures, and spikes in error statuses to catch incidents before users do.

Want a quick path to NVIDIA DCGM monitoring? This guide shows how to install the DCGM Exporter, scrape /metrics, visualize in Grafana, and set alerts for power, errors, and utilization.

Elasticsearch is a distributed search and analytics engine that powers everything from log management platforms to e-commerce search bars. It excels at indexing and retrieving large volumes of data quickly, but like any complex system it can slow down under heavy load or inefficient queries.

Database latency rarely starts in your app layer because it’s almost always a query doing more work than it should. Metrics tell you when that happens, but slow-query logging tells you which statement did it and how. That’s gold for tracking down missing indexes, inefficient filters, or accidental full scans. Pair the logging with a some lightweight counter metrics, and you get both an early warning and a clear path to a fix.