Snap-telemetry
Snap Telemetry is an open-source telemetry framework designed for collecting metrics and data from systems and applications. It supports ingesting, processing, visualizing and exporting metrics for monitoring and observability.
metrics
monitoring
observability
opensource
Snap Telemetry: Open-Source Telemetry Framework
Open-source telemetry framework designed for collecting metrics and data from systems and applications, supporting ingesting, processing, visualizing and exporting metrics for monitoring and observability.
What is Snap-telemetry?
Snap Telemetry is an open-source telemetry framework designed for collecting metrics and data from systems and applications to give observability into their performance and health. It is developed by Snap Inc as part of their open-source initiatives.
Some key capabilities and features of Snap Telemetry include:
- Supports ingesting metrics, events, logs and traces from different data sources and formats
- Pluggable data collection agents and exporters using plugins
- Real-time data pipeline for processing and transforming telemetry data
- Built-in support for visualization through charts and dashboards
- Scalable and robust backend for high volume metric collection and processing
- Easy integration with existing monitoring stacks like Prometheus, Grafana, Kubernetes, etc.
- Modular architecture allowing custom data flows and processing
- Horizontal scalability for high availability deployments
Snap Telemetry can help organizations gain deep visibility into their systems and applications for monitoring, troubleshooting and optimization. Its open-source nature provides flexibility for customization across diverse infrastructure environments.
Snap-telemetry Features
Features
- Collects metrics from applications and systems
- Supports ingesting, processing, visualizing, and exporting metrics
- Built as a modular framework that can be extended
- Includes data collection agents for common data sources
- Stores time-series data efficiently
- Visualize metrics through built-in Grafana dashboards
- Alerting based on metric thresholds
- Distributed pipeline for processing metrics
Pricing
- Open Source
Pros
Open source and free to use
Highly scalable and efficient
Modular architecture allows customization
Good documentation and community support
Integrates well with common data sources
Powerful visualization and dashboarding capabilities
Cons
Can have a complex setup
Requires some DevOps experience to run and manage
Limited built-in alerting capabilities
Grafana integration needs additional setup
Not as fully-featured as commercial alternatives
Official Links
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