What can I monitor with Prometheus?
What can I monitor with Prometheus?
Prometheus is an open-source technology designed to provide monitoring and alerting functionality for cloud-native environments, including Kubernetes. It can collect and store metrics as time-series data, recording information with a timestamp. It can also collect and record labels, which are optional key-value pairs.
Is Prometheus pull or push?
Prometheus by design implements a pull-based approach for collecting metrics. For most of us, this is a departure from the push-based monitoring systems we’ve been using for the past decade.
How many metrics can Prometheus handle?
Prometheus can handle millions of time series. However, with the above mentioned default setting for storage. local. target-heap-size , you will be limited to about 200,000 time series simultaneously present in memory.
What is Prometheus good for?
Prometheus works well for recording any purely numeric time series. It fits both machine-centric monitoring as well as monitoring of highly dynamic service-oriented architectures. In a world of microservices, its support for multi-dimensional data collection and querying is a particular strength.
How does Prometheus pull data?
Prometheus gathers metrics from different systems by scraping data from HTTP endpoints. It uses this information to identify issues, such as when an endpoint is missing or should not exist or when a time-series pattern indicates a problem.
Can Prometheus monitor logs?
The log files are matches line by line using a regular expression, and the matched data is stored in different variables. Then, the data of these variables are exported via grok_exporter. Once you add the grok_exporter server to Prometheus as a target, Prometheus can monitor the desired log files via grok_exporter.
How does Prometheus collect data?
Prometheus gathers metrics from different systems by scraping data from HTTP endpoints. It uses this information to identify issues, such as when an endpoint is missing or should not exist or when a time-series pattern indicates a problem….Metrics collected by Prometheus include:
- Summary.
- Gauge.
- Counter.
- Histogram.
Can Prometheus monitor disk space?
Besides the tools presented above, Prometheus can be one of the ways to actively monitor your disks on a Linux system.
Can you cluster Prometheus?
A Prometheus Federation Example Inside each cluster, a Prometheus server scrapes metrics from each pod running in the cluster. Above these cluster-level servers, you have a single Prometheus server that scrapes aggregate metrics from each cluster-level server.
What protocol does Prometheus use?
Prometheus supports some monitoring and administration protocols to allow interoperability for transitioning: Graphite, StatsD, SNMP, JMX, and CollectD.
Does Prometheus have a UI?
Prometheus provides its own UI, but you can also configure other visualization tools, like Grafana, to access the Prometheus server using PromQL (the Prometheus Query Language).
How do I limit memory on Prometheus?
To reduce memory consumption, Prometheus can be configured to store fewer time series, by scraping fewer metrics or by attaching fewer labels to the time series. To see which series use the most memory, you can check the TSDB (time series database) status page in the Prometheus UI.
How much resources does Prometheus use?
As of Prometheus 2.20 a good rule of thumb should be around 3kB per series in the head. This allows not only for the various data structures the series itself appears in, but also for samples from a reasonable scrape interval, and remote write.
What is federate in Prometheus?
Federation allows a Prometheus server to scrape selected time series from another Prometheus server. Prometheus federation can be used to scale to hundreds of clusters or to pull related metrics from one service’s Prometheus into another.
What is Thanos in Prometheus?
Thanos can help any organization using Prometheus that needs to enable high availability and virtually unlimited historical data storage. Using Thanos makes it easier to scale Prometheus horizontally and obtain a global view of data from multiple Prometheus servers.
Why does Prometheus use so much RAM?
prometheus tsdb has a memory block which is named: “head”, because head stores all the series in latest hours, it will eat a lot of memory.
Why Prometheus uses a lot of memory?
What is sharding in Prometheus?
This is where Prometheus’ sharding feature comes into play. It divides the targets Prometheus scrapes into multiple groups, small enough for a single Prometheus instance to scrape. If possible functional sharding is recommended.
What is downsampling Prometheus?
Prometheus downsampling leverages continuous aggregates, one of the most popular and powerful features of TimescaleDB. Metric monitoring is a key pillar of any observability stack used to operate micro-service-based systems running on Kubernetes.
Where does Prometheus store data in Kubernetes?
As you can check the Prometheus Dockerfile on Github (https://github.com/prometheus/prometheus/blob/master/Dockerfile#L24), the working directory is /prometheus and that where you will find all the metrics and data. And this is the *Time Series Database * which you can’t decode .