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What is Heroic?

Heroic is an open-source monitoring tool that was originally crafted at Spotify to address difficulties associated with the vast-scale gathering and near real-time evaluation of metrics. It consists of a small set of specialized components, each designed for specific functions within the system. Heroic provides unlimited data retention, provided there is sufficient investment in hardware, as well as federation capabilities that allow multiple Heroic clusters to interconnect and offer a cohesive interface. A pivotal feature, known as Consumers, is responsible for the ingestion of metrics, showcasing the system's emphasis on operational efficiency. Throughout Heroic's development, it became clear that overseeing hundreds of millions of time series without adequate context presents notable hurdles. Furthermore, the federation support enhances the system's ability to manage requests across different independent Heroic clusters, enabling them to deliver services to clients through a single, global interface. This not only optimizes operations but also reduces cross-regional traffic, as each cluster can operate autonomously within its specific area. As a result, Heroic stands out as a powerful solution for organizations seeking effective monitoring tools, capable of adapting to diverse operational needs. The combination of these features makes Heroic a compelling choice for enterprises aiming for scalable and efficient monitoring capabilities.

What is Blueflood?

Blueflood is a highly efficient distributed metric processing system tailored for rapid throughput and minimal latency, serving as a fundamental element for Rackspace Metrics and currently employed by the Rackspace Monitoring and public cloud teams to oversee the metrics generated by their infrastructures. In addition to its internal applications, Blueflood has been successfully adopted in numerous large-scale implementations, details of which can be found on the community Wiki. The system excels in processing data that is perfect for developing dashboards, crafting reports, and generating graphs, as well as any other applications that necessitate the analysis of time-series data. It highlights the significance of near real-time data accessibility, permitting metrics to be queried mere milliseconds after ingestion. Users can transmit metrics to the ingestion service and retrieve them via the Query service, while the system adeptly manages offline batch processing of rollups in the background, guaranteeing prompt query responses across extensive time spans. Furthermore, this blend of functionalities positions Blueflood as an adaptable and powerful tool for effectively managing and analyzing metric data in various contexts. The system's architecture also allows for scalability, making it suitable for evolving data needs over time.

Media

Media

Integrations Supported

Apache Cassandra
Apache Kafka
Elasticsearch
Google Cloud Bigtable

Integrations Supported

Apache Cassandra
RRDtool

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Heroic

Company Website

spotify.github.io/heroic

Company Facts

Organization Name

Blueflood

Company Website

blueflood.io

Categories and Features

Time Series Databases

Not specified

Categories and Features

Time Series Databases

Not specified

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