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See https://github.com/prometheus/snmp_exporter/blob/master/README.md for documentation.
Trickster is a reverse proxy cache for the Prometheus HTTP APIv1 that dramatically accelerates dashboard rendering times for any series queried from Prometheus.
A Prometheus metrics exporter for LDAP. This exporter allows for configurable tree attributes to be exposed as prometheus metrics, and bundles a set of useful metrics for LDAP backends it knows of (currently this is just 389 Directory Server).
Features MongoDB Server Status metrics (cursors, operations, indexes, storage, etc) MongoDB Replica Set metrics (members, ping, replication lag, etc) MongoDB Replication Oplog metrics (size, length in time, etc) MongoDB Sharding metrics (shards, chunks, db/collections, balancer operations) MongoDB RocksDB storage-engine metrics (levels, compactions, cache usage, i/o rates, etc) MongoDB WiredTiger storage-engine metrics (cache, blockmanger, tickets, etc) MongoDB Top Metrics per collection (writeLock, readLock, query, etc*)
This is an exporter that exposes information gathered from SNMP for use by the Prometheus monitoring system. There are two components. An exporter that does the actual scraping, and a generator (which depends on NetSNMP) that creates the configuration for use by the exporter.
See for documentation.
Like Prometheus, but for logs.
This datasource lets you to use the Alertmanager's API of Prometheus to create dashboards in Grafana.
Loki: like Prometheus, but for logs. Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate. It does not index the contents of the logs, but rather a set of labels for each log stream. Compared to other log aggregation systems, Loki: does not do full text indexing on logs. By storing compressed, unstructured logs and only indexing metadata, Loki is simpler to operate and cheaper to run. indexes and groups log streams using the same labels you’re already using with Prometheus, enabling you to seamlessly switch between metrics and logs using the same labels that you’re already using with Prometheus. is an especially good fit for storing Kubernetes Pod logs. Metadata such as Pod labels is automatically scraped and indexed. has native support in Grafana (needs Grafana v6.0). A Loki-based logging stack consists of 3 components: promtail is the agent, responsible for gathering logs and sending them to Loki. loki is the main server, responsible for storing logs and processing queries. Grafana for querying and displaying the logs. Loki is like Prometheus, but for logs: we prefer a multidimensional label-based approach to indexing, and want a single-binary, easy to operate system with no dependencies. Loki differs from Prometheus by focusing on logs instead of metrics, and delivering logs via push, instead of pull.