inviso
A lightweight tool for searching Hadoop jobs, visualizing performance, and viewing cluster utilization.
What is inviso?
Inviso is a lightweight monitoring tool for Hadoop clusters that provides search capabilities for job histories, performance visualization, and cluster utilization tracking. It helps administrators and developers understand cluster behavior, debug performance issues, and optimize resource allocation.
Hadoop cluster administrators and data engineers who need to monitor job performance, troubleshoot issues, and analyze cluster resource usage in Hadoop 2 environments.
Developers choose Inviso for its lightweight design, easy deployment, and integrated search and visualization features that simplify Hadoop cluster observability without requiring complex monitoring systems.
Overview
Inviso is a lightweight monitoring and visualization tool designed for Hadoop clusters. It enables administrators and developers to search through job histories, analyze performance metrics, and monitor cluster resource utilization through an intuitive web interface.
Key Features
- Job Search — REST API and ElasticSearch integration for querying Hadoop job histories and correlating Pig and Hive scripts.
- Performance Visualization — Web UI to visualize job performance metrics and identify bottlenecks.
- Cluster Utilization Monitoring — Tracks and displays cluster resource usage over time.
- Extensible Indexing — Python scripts to index job configurations into ElasticSearch, supporting pub/sub models for distributed event handling.
- Task Log Linking — Requires Hadoop log aggregation to link directly to task logs for deeper debugging.
Philosophy
Inviso prioritizes simplicity and lightweight deployment, providing essential Hadoop cluster observability without heavy infrastructure overhead.
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