Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.
The event stream processing platform for developers. Unified experience for real-time data ingestion, stream processing, and low-latency serving. Best-in-class performance and cost-efficiency. Supports SQL and Python.
An open-source, cloud-native, unified time series database for metrics, logs and events, supporting SQL/PromQL/Streaming. Available on GreptimeCloud.
Lean and mean distributed stream processing system written in rust and web assembly. Alternative to Kafka + Flink in one.
Connect your local process and your cloud environment, and run local code in cloud conditions.
Create full-fledged APIs for slowly moving datasets without writing a single line of code.
Apache HoraeDB (incubating) is a high-performance, distributed, cloud native time-series database.
Parseable is a disk less, cloud native database for logs, observability, security, and compliance. Parseable is built with focus on simplicity & resource efficiency.
KCL Programming Language (CNCF Sandbox Project). https://kcl-lang.io
wasmCloud is an open source Cloud Native Computing Foundation (CNCF) project that enables teams to build, manage, and scale polyglot apps across any cloud, K8s, or edge.
A Kubernetes implementation of the Open Application Model specification
Open source security data lake for threat hunting, detection & response, and cybersecurity analytics at petabyte scale on AWS
High Performance GraphQL Runtime
A multi-sandbox container runtime that provides cloud-native, all-scenario multiple sandbox container solutions.
Rust client for NATS, the cloud native messaging system.
🚀Apache RocketMQ build in Rust🦀. Faster, safer, and with lower memory usage.
Work in progress distributed system that simplifies the orchestration of containers and virtual machines.
A geo-distributed KV store for metadata management
The High Performance Proxy/Load Balancer
A set of WIT definitions and associated implementations to enable app developers to work at a faster pace and require less knowledge of the environment in which they are executing.
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