Linux server downtime can be caused by issues such as high CPU or memory usage, disk exhaustion, network problems, failed deployments, or services gradually degrading over time.
What are the best practices for monitoring Linux servers proactively and identifying these issues before they result in an outage? I’m particularly interested in how teams approach infrastructure metrics, logs, alerts, and trend monitoring to detect and resolve problems earlier.
Would also be useful to hear what monitoring tools or approaches have worked well for others.
You can correlate Linux server metrics and logs by looking at the same time window and connecting resource-level changes with the events occurring around them.
For example, if CPU usage suddenly spikes, check the logs from that same period for application errors, failed deployments, service restarts, or other events that could explain the change. Similarly, a gradual increase in memory usage can be compared with historical logs to identify patterns such as a memory leak.
With Middleware, infrastructure metrics, logs, and other observability data are available in one platform, so you don’t have to switch between separate monitoring and logging tools. You can monitor CPU, memory, disk, and network activity, investigate related logs, and use time-range filtering to narrow down an issue.
For a more detailed walkthrough of monitoring Linux infrastructure with Middleware, you can check out this guide: Linux Infrastructure Monitoring with Middleware. Linux Infrastructure Monitoring with Middleware
This approach is particularly useful when troubleshooting because metrics help identify what changed, while logs provide additional context about what caused it.