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Description
Project summary
WarpParse is a next-generation, high-performance ETL engine built in Rust, specifically optimized for observability, security analysis, and real-time data platforms.
Project description
WarpParse addresses the critical need for extreme performance and resource efficiency in processing massive, high-throughput log streams within cloud-native environments. It features a unique dual-engine architecture with WPL (Warp Parse Language) for strong-typed parsing and OML (Object Modeling Language) for declarative data enrichment with native SQL integration. Our benchmarks show WarpParse achieving up to 8x the throughput of existing tools like Vector, while significantly reducing CPU and memory footprints. This project aims to provide a robust, open-source solution for data plumbing, enabling organizations to build more cost-effective and responsive observability stacks.
Org repo URL (provide if all repos under the org are in scope of the application)
Project repo URL in scope of application
https://github.com/wp-labs/warp-parse
Additional repos in scope of the application
https://github.com/wp-labs/wp-editor (WpEditor )
https://github.com/wp-labs/tree-sitter-wpl (WPL Language Spec )
https://github.com/wp-labs/tree-sitter-oml (OML Language Spec )
Website URL
Roadmap
https://github.com/wp-labs/WarpParse/blob/main/ROADMAP.md
Roadmap context
Our roadmap focuses on enhancing connector ecosystem, improving WPL/OML features based on community feedback, and exploring integration with more cloud-native data sinks (e.g., OpenTelemetry Collector). We aim to continuously push the boundaries of performance and ease of use for log processing.
Contributing guide
https://github.com/wp-labs/WarpParse/blob/main/CONTRIBUTING.md
Code of Conduct (CoC)
https://github.com/wp-labs/WarpParse/blob/main/CODE_OF_CONDUCT.md
Adopters
N/A
Maintainers file
https://github.com/wp-labs/WarpParse/blob/main/MAINTAINERS.md
Security policy file
https://github.com/wp-labs/WarpParse/blob/main/SECURITY.md
Standard or specification?
Yes, WarpParse includes WPL (Warp Parse Language) and OML (Object Modeling Language) which are domain-specific languages for log parsing and data transformation. While not yet formal industry standards, they serve as specifications for how data is processed within WarpParse.
Business product or service to project separation
This project is developed by wp-labs and is intended to be a pure open-source project under the Apache 2.0 license. While wp-labs may offer commercial services or products built on top of WarpParse in the future, the core WarpParse project will remain a vendor-neutral, community-driven open-source initiative, with all core capabilities fully open and no hidden paywalls.
Why CNCF?
We believe WarpParse aligns perfectly with CNCF's mission to foster and sustain an ecosystem of open-source, vendor-neutral projects. Being part of CNCF Sandbox will provide WarpParse with the necessary visibility, community support, and guidance to grow into a mature, widely adopted project. It will help us connect with a broader cloud-native audience, attract more contributors, and ensure WarpParse remains a foundational component for high-performance observability in the cloud-native landscape.
Benefit to the landscape
WarpParse significantly benefits the Cloud Native Landscape by addressing the performance and resource efficiency gaps in existing log processing solutions. It offers a Rust-native, high-throughput ETL engine that can drastically reduce operational costs and improve the responsiveness of observability pipelines. Its innovative WPL/OML DSLs simplify complex parsing logic, making it easier for developers to manage and maintain data pipelines. WarpParse provides a new, highly optimized option for cloud-native teams struggling with the scale and cost of log data.
Cloud native 'fit'
WarpParse is inherently cloud-native. It is designed as a lightweight, single-binary application (approx. 30MB) with no external dependencies, making it ideal for containerized deployments (e.g., Kubernetes sidecars or DaemonSets). Its stateless design allows for horizontal scaling, and its high performance is crucial for processing ephemeral and distributed log data in dynamic cloud environments. WarpParse embodies the cloud-native principles of efficiency, resilience, and scalability.
Cloud native 'integration'
WarpParse complements and can integrate with various CNCF projects. For instance, it can process logs from Kubernetes clusters, transform them, and then feed the structured data into Prometheus (via exporters), OpenTelemetry Collector, or other CNCF-aligned storage solutions like ClickHouse or VictoriaMetrics. It can also work alongside Fluentd/Fluent Bit as a specialized high-performance parsing stage.
Cloud native overlap
WarpParse overlaps with projects like Fluentd/Fluent Bit and Vector in the log processing and ETL space. However, its primary differentiator lies in its extreme performance and resource efficiency achieved through Rust, and its unique WPL/OML DSLs for simplified, strong-typed parsing and transformation. While it performs similar functions, it offers a distinct approach focused on optimizing the core parsing and transformation engine.
Similar projects
Vector: A high-performance observability data pipeline. WarpParse offers significantly higher throughput and lower resource consumption for log parsing and transformation.
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Fluentd/Fluent Bit: Popular log collectors and processors. WarpParse provides a more specialized, high-performance engine for complex parsing tasks.
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Logstash: A server-side data processing pipeline. WarpParse offers a much lighter footprint and superior performance due to its Rust implementation.
Landscape
No, not yet. We aim to be listed in the "Observability & Analysis" category.
Trademark and accounts
- If the project is accepted, I agree to donate all project trademarks and accounts to the CNCF
IP policy
- If the project is accepted, I agree the project will follow the CNCF IP Policy
Will the project require a license exception?
No, WarpParse uses Apache 2.0 license, which is a CNCF approved license.
Project "Domain Technical Review"
N/A
Application contact email(s)
Contributing or sponsoring entity signatory information
N/A
CNCF contacts
No response
Additional information
No response
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