sysstat VS Grafana

Well... What that's showing is that at some point in time you copied some pages into swap. Since there's no competition for that, they have just stayed there. It doesn't mean that you are seeing memory pressure now, only that at some point since the last reboot your memory usage passed the high water mark which encouraged the kernel to start thinking about swap. If you have sysstat installed you can run through sar to see when that was and even get some idea of whether or not any of those pages written to swap were ever read again, but just having some pages written to swap doesn't mean a whole lot on its own.

You can try sysstat/ iostat. https://github.com/sysstat/sysstat Have a cron or systemd process take periodic snapshots and log them or email them. The swordfish on paper looks fast enough, but it’s on the slow side for a NVMe. For reference I’m running a NUC8 i5 with 16GB of RAM, 1 TB Adata XPG SX8200 Pro and it’s been rock solid. Ubuntu 20.04LTS.

Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.

To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.

Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.

Prometheus: Open-source monitoring system. Often used together with Grafana.

Grafana

Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.

So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:

In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:

Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.