Showing 3 open source projects for "prometheus"

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    fluentbit

    fluentbit

    Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX

    Fluent Bit is a super-fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments. A robust, lightweight, and portable architecture for high throughput with low CPU and memory usage from any data source to any destination. Proven across distributed cloud and container environments. Highly available with I/O handlers to store data for disaster recovery. Granular management of data parsing and routing....
    Downloads: 4 This Week
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  • 2
    mtail

    mtail

    Extract internal monitoring data from application logs

    ...It fills a monitoring niche by being the glue between applications that do not export their own internal state (other than via logs) and existing monitoring systems, such that system operators do not need to patch those applications to instrument them or writing custom extraction code for every such application. The extraction is controlled by mtail programs which define patterns and actions. Metrics are exported for scraping by a collector as JSON or Prometheus format over HTTP, or can be periodically sent to a collectd, StatsD, or Graphite collector socket. Precompiled binaries for released versions are available in the Releases page on Github. Using the latest production release binary is the recommended way of installing mtail.
    Downloads: 13 This Week
    Last Update:
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  • 3
    collectd

    collectd

    The system statistics collection daemon

    ...The platform supports a large plugin ecosystem, allowing it to monitor services like Apache, Nginx, MySQL, PostgreSQL, Redis, SNMP devices, virtual machines, and many other systems. Collected values can be stored, forwarded, logged, or exported to tools such as Graphite, Prometheus, Kafka, MQTT, RRDTool, and other monitoring destinations. collectd is built for efficient daemon-based operation, using caching, multithreading, and plugin-based processing to reduce system overhead. It is well suited for administrators and infrastructure teams that need flexible, lightweight, and extensible metrics collection.
    Downloads: 0 This Week
    Last Update:
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