2 Integrations with RRDtool

View a list of RRDtool integrations and software that integrates with RRDtool below. Compare the best RRDtool integrations as well as features, ratings, user reviews, and pricing of software that integrates with RRDtool. Here are the current RRDtool integrations in 2024:

  • 1
    Cacti

    Cacti

    Cacti

    Cacti provides a robust and extensible operational monitoring and fault management framework for users around the world. It is also a complete network graphing solution designed to harness the power of RRDTool's data storage and graphing functionality. Cacti includes a fully distributed and fault-tolerant data collection framework, advanced template-based automation features for devices, graphs, and trees. Multiple data acquisition methods, the ability to be extended through plugins, role-based user, group and domain management features in addition to a theming engine and multiple language support all right out of the box. All of this is wrapped in an intuitive, easy-to-use interface that makes sense for LAN-sized installations up to complex networks with tens of thousands of devices. Cacti requires MySQL, PHP, RRDTool, net-snmp, and a webserver that supports PHP such as Apache or IIS. At the center of Cacti and its database is the device and device template.
    Starting Price: Free
  • 2
    Blueflood

    Blueflood

    Blueflood

    Blueflood is a high throughput, low latency, multi-tenant distributed metric processing system behind Rackspace Metrics, which is currently used in production by the Rackspace Monitoring team and Rackspace public cloud team to store metrics generated by their systems. In addition to Rackspace metrics, other large scale deployments of Blueflood can be found at community Wiki. Data from Blueflood can be used to construct dashboards, generate reports, graphs or for any other use involving time-series data. It focuses on near-realtime data, with data that is queryable mere milliseconds after ingestion. You send metrics to the ingestion service. You query your metrics from the Query service. And in the background, rollups are batch-processed offline so that queries for large time-periods are returned quickly.
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