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Meet the easiest way to generate SLOs for Prometheus. Sloth generates understandable, uniform and reliable Prometheus SLOs for any kind of service. Using a simple SLO spec that results in multiple metrics and multi window multi burn alerts.
Cortex provides horizontally scalable, highly available, multi-tenant, long term storage for Prometheus. Cortex can run across multiple machines in a cluster, exceeding the throughput and storage of a single machine. This enables you to send the metrics from multiple Prometheus servers to a single Cortex cluster and run "globally aggregated" queries across all data in a single place. Cortex makes your PromQL queries blazin' fast through aggressive parallelization and caching.
This is a Lua library that can be used with Nginx to keep track of metrics and expose them on a separate web page to be pulled by Prometheus. You need to install nginx package with lua support (libnginx-mod-http-lua on newer Debian versions, or nginx-extras on older ones). The library file, prometheus.lua, needs to be available in LUA_PATH. If this is the only Lua library you use, you can just point lua_package_path to the directory with this git repo checked out (see example below).
This is a .NET library for instrumenting your applications and exporting metrics to Prometheus. If you are migrating from version 1.x, you may need to make minor changes to your code to adjust for these changes.
Database agnostic SQL exporter for Prometheus. SQL Exporter is a configuration driven exporter that exposes metrics gathered from DBMSs, for use by the Prometheus monitoring system. Out of the box, it provides support for MySQL, PostgreSQL, Microsoft SQL Server and Clickhouse, but any DBMS for which a Go driver is available may be monitored after rebuilding the binary with the DBMS driver included.
SigNoz is an opensource observability platform. SigNoz uses distributed tracing to gain visibility into your systems and powers data using Kafka (to handle high ingestion rate and backpressure) and Apache Druid (Apache Druid is a high performance real-time analytics database), both proven in the industry to handle scale.
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
kube-state-metrics is a simple service that listens to the Kubernetes API server and generates metrics about the state of the objects. (See examples in the Metrics section below.) It is not focused on the health of the individual Kubernetes components, but rather on the health of the various objects inside, such as deployments, nodes and pods.The metrics are exported through the Prometheus golang client on the HTTP endpoint /metrics on the listening port (default 8080). They are served either as plaintext or protobuf depending on the Accept header. They are designed to be consumed either by Prometheus itself or by a scraper that is compatible with scraping a Prometheus client endpoint. You can also open /metrics in a browser to see the raw metrics.
SkyWalking is an APM (application performance monitor) system, especially designed for microservices, cloud native and container-based (Docker, Kubernetes, Mesos) architectures. SkyWalking is an open source APM system, including monitoring, tracing, diagnosing capabilities for distributed system in Cloud Native architecture. It supports to collect telemetry (metrics, traces, and logs) data from multiple sources and multiple formats.
Project status: beta Not all planned features are completed. The API, spec, status and other user facing objects may change, but in a backward compatible way.The Prometheus Operator for Kubernetes provides easy monitoring definitions for Kubernetes services and deployment and management of Prometheus instances.
This repository contains an implementation of the Kubernetes resource metrics, custom metrics, and external metrics APIs. This adapter is therefore suitable for use with the autoscaling/v2 Horizontal Pod Autoscaler in Kubernetes 1.6+. It can also replace the metrics server on clusters that already run Prometheus and collect the appropriate metrics.
VictoriaMetrics is a fast, cost-effective and scalable monitoring solution and time series database. VictoriaMetrics can be used as long-term storage for Prometheus or for vmagent. It supports Prometheus querying API, so it can be used as Prometheus drop-in replacement in Grafana. It implements MetricsQL query language backwards compatible with PromQL.
Ansible-cmdb takes the output of Ansible's fact gathering and converts it into a static HTML overview page (and other things) containing system configuration information. It supports multiple types of output (html, csv, sql, etc) and extending information gathered by Ansible with custom data. For each host it also shows the groups, host variables, custom variables and machine-local facts.