Netdata VS Grafana

netdata.cloud — Netdata is an open-source tool to collect real-time metrics. It's a growing product and can also be found on GitHub!

Netdata is designed with efficiency, scalability, and flexibility in mind, aiming to address most of the challenges associated with both open-source tools and commercial SaaS offerings.

Monitoring = netdata on each RPi https://www.netdata.cloud/ binded to the vpn interface being scraped into a prometeus thaons https://thanos.io/ setup with grafana to give management the Green all is good screens (very important).

We run netdata to have a bit of insight into whats happening on the 10+ dedicated servers in Falkenstein. So far we have seen a 1hour_ecc_memory_correctable about once a month. Suddenly we get 1hour_ecc_memory_correctable like every day from different servers. Any ideas why that could be happening?

Documentation and source code of this plugin: https://github.com/netdata/netdata/tree/master/collectors/systemd-journal.plugin

Home Page and source code: https://github.com/netdata/netdata

I started the discussion, and offered a solution too:

https://github.com/netdata/netdata/discussions/16136

hey - I work on ML at Netdata (disclaimer).

We have a big PR open and under review at moment that brings in a lot more logs capabilities: https://github.com/netdata/netdata/pull/13291

We also have some specific logs collectors too - i think in here might be best place to look around at the moment, should take you to the logs part of the integrations section in our demo space (no login needed, sorry for the long horrible url, we adding this section to our docs soon but at moment only lives in the app)

https://app.netdata.cloud/spaces/netdata-demo/rooms/all-node...

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.