Apache Eagle

Apache Eagle was an open-source analytics platform designed to monitor security and performance issues in big data environments like Hadoop and Spark.

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Monitored big data platforms for security breaches and performance issues in real-time.

Apache Eagle was an open-source analytics platform designed to monitor security and performance issues in big data environments like Hadoop and Spark. Originally developed by eBay and donated to the Apache Software Foundation in 2015, it became a Top-Level Project (TLP) in 2017. The platform analyzed operational logs, YARN applications, JMX metrics, and daemon logs to detect anomalies in real-time.

Eagle's architecture included data integration, real-time analytics, and alerting capabilities, with a focus on scalability for large-scale deployments. Notable users included eBay, PayPal, and Dataguise. However, the project was retired and moved to the Apache Attic, indicating it is no longer actively maintained. Its retirement suggests challenges in sustaining community engagement or competing with newer monitoring tools in the evolving big data ecosystem.

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Who buys this

  • Enterprises running large-scale Hadoop or Spark deployments
  • Financial services companies with stringent security requirements
  • E-commerce platforms handling high-volume transaction data
  • Data governance and security vendors

Publicly disclosed clients

  • eBay
  • PayPal
  • Dataguise

Strengths and what to watch

Strengths

  • Real-time anomaly detection for big data platforms
  • Integration with Hadoop, Spark, and other distributed systems
  • Open-source model with contributions from major tech players

Watch for

  • Project retired and moved to Apache Attic, indicating lack of active development
  • Competition from newer monitoring and security tools in the big data space
  • Dependence on community contributions for sustainability

Key Information

Frequently Asked Questions

What is Apache Eagle?

Apache Eagle was an open-source platform for real-time monitoring of big data environments like Hadoop and Spark. It detected security breaches and performance anomalies by analyzing operational logs, YARN applications, and JMX metrics. Originally developed by eBay, it became an Apache Top-Level Project in 2017.

How did Apache Eagle monitor big data platforms?

Apache Eagle monitored big data platforms by analyzing operational logs, YARN applications, JMX metrics, and daemon logs in real-time. It integrated with Hadoop and Spark to detect anomalies, focusing on scalability for large-scale deployments. Its architecture included data integration, analytics, and alerting capabilities.

Why was Apache Eagle retired?

Apache Eagle was retired and moved to the Apache Attic due to challenges in sustaining community engagement and competition from newer monitoring tools. Its retirement indicates a lack of active development, making it less viable in the evolving big data ecosystem.

Which companies used Apache Eagle?

Notable users of Apache Eagle included eBay, PayPal, and Dataguise. These companies leveraged its real-time anomaly detection capabilities for monitoring large-scale Hadoop and Spark deployments, particularly in environments with stringent security and performance requirements.

What were Apache Eagle's key features?

Apache Eagle's key features included real-time anomaly detection, integration with Hadoop and Spark, and scalability for large deployments. It offered data integration, analytics, and alerting capabilities, making it suitable for monitoring security and performance in big data environments.

How did Apache Eagle integrate with Hadoop?

Apache Eagle integrated with Hadoop by analyzing operational logs, YARN applications, and JMX metrics. It provided real-time monitoring and anomaly detection for Hadoop deployments, focusing on security breaches and performance issues, making it a valuable tool for large-scale data environments.

Sources

  1. eagle.incubator.apache.org — Project retirement and historical overview
  2. attic.apache.org — Confirmation of project retirement
  3. www.theregister.com — Origin as eBay project and Apache TLP status
  4. github.com — Original eBay development and open-source contributions