ccfos/nightingale
Open-source alerting platform that evaluates rules against Prometheus, VictoriaMetrics, Elasticsearch, Loki, ClickHouse and PostgreSQL, then routes notifications to Slack, PagerDuty and other channels.
Awesome ClickHouse › Metrics and Monitoring
trickstercache/trickster
Trickster is an open-source HTTP reverse proxy cache and time series dashboard accelerator designed to improve the performance and scalability of time series database (TSDB) environments and HTTP applications. It acts as a caching layer and query accelerator for dashboards that query TSDBs, significantly reducing redundant computations and improving chart rendering times for end users. Trickster supports multiple TSDBs including Prometheus, ClickHouse, and InfluxDB, making it versatile for various monitoring and analytics setups. The project offers a fully-featured HTTP reverse proxy cache that supports TLS and HTTP/2, multiple caching options such as in-memory, filesystem, Redis, and bbolt, and advanced features like application load balancing, negative caching to prevent outages, collapsed forwarding for high performance, and byte range request caching. It also includes built-in Prometheus metrics, customizable health checks, distributed tracing via OpenTelemetry, and a rules engine for custom request routing and rewriting. Trickster's time series acceleration is achieved through several innovative techniques. The Delta Proxy Cache inspects client query time ranges to request only the incremental data points not already cached, reducing load on the TSDB and speeding up dashboard refreshes. Step Boundary Normalization aligns data points to consistent intervals for better cacheability and user experience. The Fast Forward feature ensures real-time graphs always display the most recent data, even if it falls outside the normalized step boundaries. The project is hosted by the Cloud Native Computing Foundation (CNCF) as a sandbox-level project, emphasizing its focus on cloud-native, container-packaged, and microservices-oriented environments. It supports deployment via Docker, Kubernetes, and Helm, with comprehensive documentation and examples for easy setup and integration. Trickster is actively maintained with a roadmap for future enhancements and a strong community presence.
https://github.com/trickstercache/trickster
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