Prometheus stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. It also generates derived time series from these data.
An endpoint that you can scrape is an instance. A collection of instances with the same purpose, a process replicated for scalability or reliability, is called a job.
When prometheus scrapes a target, it attaches some labels automatically to scraped time series which serve to identify the scraped target.
Prometheus stores a sample in the time series.
Metrics collection, storage, calculation
Efficient storage for prometheus data. Stores time series database. Distribute time series database.
Visualization tool and alterting tool
Components:
ZK stores IP address of each node
Script stores IP addresses into prometheus,
Fanout Storage -Reads/writes series data
Local storage
Remote storage
TSZ: 1.45 bytes/datapoint
All writes persist to a commit log
Sharding and replication makes horizontal scaling easier.
Provide more fine grained lock granularity.
Data consistency level when writing and reading.
Cache to speed up read operation