![]() Regexp of ethtool devices to exclude (mutually exclusive to device-include). Regexp of ethtool devices to include (mutually exclusive to device-exclude). Regexp of devices to ignore for diskstats. Įnables metric node_cpu_guest_seconds_total Įnables metric cpu_info -include=-INCLUDEįilter the `flags` field in cpuInfo with a value that must be a regular expression -include=-INCLUDEįilter the `bugs` field in cpuInfo with a value that must be a regular expression -devices="^(ram|loop|fd|(h|s|v|xv)d|nvme\d n\d p)\d $" Show context-sensitive help (also try -help-long and -help-man). I’m not really expecting anyone to use them, but they are working and documented, so at least they can serve as a source of inspiration.Prometheus-node-exporter Description Options -h, -help The good thing is that if I ever want to go back to my Promethus stack, my Ansible roles will help me get the job done easily. It’s been fun to play with it though! I just switched back to Telegraf InfluxDB Grafana and seeing how much simpler setting them up is, my thoughts have been confirmed. It was being filled with tons of Kubernetes metrics though. At my previous work we had to reduce the retention to about 2 weeks on some instance because it would consume an enormous amount of RAM. I also feel like Prometheus is not made of long-term metrics. It makes sense at $work where we have tons of metrics and we rely on proper alerting, but I’m not that demanding for my personal services. I’m not sure I would recommend it though, as it’s probably overkill for most setups and it requires lots of lines of configuration. Worth it?Īfter spending a lot of time understanding all the components and setting them up, my setup as been running smoothly for months now. I have to admit I used to keep my roles and servers up-to-date each new release at first, but I haven’t updated anything in months. This is great because you can set them up however you want, but it’s more work keeping them up-to-date. I created a Slack workspace for myself, and then I hooked it up to Alertmanager.Īll of the Prometheus services are basically Go binaries that you have to deploy yourself, there is no packaging. The easiest and cheapest (well, free) way to received notifications upon alerts I found was… Slack. However to receive alerts you will need an additional software called Alertmanager, which can dispatch rules to a bunch of services. One thing I liked about Prometheus was its native alerting integration.Įxpr: node_load1 > 6 Of course, I was still using Grafana with pretty dashboards: Prometheus itself has a basic web interface (and an API) where you can query metrics using PromQL and do some basic graphing. Oh, I’m not saying this isn’t possible with Telegraf, but it’s not as convenient.įor my use case, I only used Node Exporter for system metrics along with Blackbox exporter for probing HTTPS endpoints (but it also supports ICMP, TCP, DNS…). Tell Prometheus to gather data from that exporter, and you’re done! For example, if you want to gather metrics about your application, you just need to expose them using a specific but simple format at some endpoint. What is great about exporters is that there are many of them out there, and it’s very easy to make a custom one yourself. Node exporter is the software that will gather and export system metrics on every machine. ![]() In the other, every machine should be accessible by Prometheus. In one case, InfluxDB should be accessible by every machine. This will greatly impact your network setup. Basically, Telegraf will push the metrics to InfluxDB while Prometheus will poll the data from Node exporter. We could differentiate these as push mode and poll mode. The main difference between a Telegraf InfluxDB setup and Prometheus Node Exporter is the exporter part. First of all, it’s way too complex to be contained in single post, and secondly I have set up the whole stack using Ansible roles I made myself. This post won’t be a tutorial, for two reasons. I have moved to something else for the past year, so I wanted to talk about my experience with it. I talked a while ago about the monitoring stack I was using: TIG.
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