An HTTP reverse proxy cache for web applications and a query accelerator for time series databases like Prometheus and InfluxDB.
Trickster is an HTTP reverse proxy and cache that accelerates web applications and time series database queries. It sits between clients and backend services, caching responses and optimizing data retrieval to reduce latency and server load. For time series databases like Prometheus, it uses techniques like delta caching and step boundary normalization to dramatically speed up dashboard rendering.
DevOps engineers, SREs, and developers managing monitoring dashboards or high-traffic web APIs who need to improve performance and scalability. It's particularly valuable for teams using Prometheus, InfluxDB, or ClickHouse with Grafana or similar visualization tools.
Developers choose Trickster because it provides significant performance improvements for time series queries without modifying existing dashboards or databases. Its unique delta caching approach reduces redundant computations, while its flexible caching backends and load balancing capabilities make it suitable for production environments.
Open Source HTTP Reverse Proxy Cache and Time Series Dashboard Accelerator
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Trickster's Delta Proxy Cache requests only incremental data points from TSDBs, dramatically reducing query load and speeding up dashboard renders, as illustrated in the partial cache hit diagram.
Supports in-memory, filesystem, Redis, and bbolt caches, allowing teams to choose based on infrastructure needs, detailed in the caching layers documentation.
Aligns data points to normalized step boundaries for consistent, cacheable visualizations, crucial for time series dashboards as shown in the step normalization image.
Provides advanced load balancing for both time series and generic HTTP endpoints, enhancing scalability and reliability for diverse backends.
Trickster 2.0 is currently in beta, meaning potential breaking changes and less stability compared to the production v1.1 release, as noted in the README.
Requires detailed YAML configuration for customizing down to HTTP paths, which can be daunting for users seeking a simple drop-in solution without extensive setup.
Only officially supports Prometheus, ClickHouse, and InfluxDB, leaving out other popular time series databases, which restricts compatibility in mixed environments.