Miru Project
Miru is an open source analytics platform created by Weaveworks designed for high ingest data. It offers fast, flexible analytics for performance monitoring, business metrics, and other time series data.
analytics
monitoring
metrics
time-series
Miru Project: Open Source Analytics Platform
Highly scalable analytics platform designed for high ingest data, offering fast and flexible performance monitoring and business metrics analytics.
What is Miru Project?
Miru is an open source analytics platform created by Weaveworks in 2018. It is designed to handle high-velocity, high-volume data for analytical workloads. Some key characteristics of Miru:
- Scales horizontally to handle ingest rates over 1 million data points per second
- Has a plugin architecture to analyze different types of time series data like metrics, logs, and traces
- Offers low-latency queries and data exploration even over terabytes of data
- Can be deployed on Kubernetes or as a standalone application
- Stores data in an optimized format for time series analytics
- Provides a distributed query layer for SQL-like analytics
- Integrates with visualization tools like Grafana to build dashboards
Miru is well-suited for time series analytics use cases such as IT infrastructure monitoring, application performance management, IoT telemetry, and business KPI analysis. Overall, it aims to provide a fast analytics platform for working with large volumes of temporal data.
Miru Project Features
Features
- Real-time analytics
- High ingest streaming data
- Anomaly detection
- Visualizations and dashboards
- Scalable and distributed
- Open source
Pricing
- Open Source
Pros
Fast processing of streaming data
Flexible and customizable
Good for time series data
Scales horizontally
Free and open source
Cons
Limited out-of-box functionality
Steep learning curve
Requires DevOps skills to deploy and manage
Lacks some features of commercial alternatives
Official Links
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