Awesome Cloud Native
Section: Streaming & Messaging · A distributed streaming platform.
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Appears in 6 awesome lists
Kafka client library for building applications and microservices where the input and output are stored in kafka clusters.
Section: Streaming & Messaging · A distributed streaming platform.
Section: Tools · A distributed event streaming platform for building real-time data pipelines.
Section: Message Broker · Distributed, high-throughput system designed for real-time data streaming and fault-tolerant processing.
Section: Messaging · Apache-2.0 🟢High-throughput distributed messaging system.
Section: Data Stream Processing · Kafka client library for building applications and microservices where the input and output are stored in kafka clusters.
Section: Message Queues · | Java | - Mirror of Apache Kafka
Python module for building complex pipelines of batch jobs. Handles dependency resolution, workflow management, visualization, and Hadoop integration. Built at Spotify and battle-tested in production. Apache 2.0 licensed.
"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…
Cloud-native orchestration platform for developing and maintaining data assets including ML models. Declarative programming model with integrated lineage and observability. Apache 2.0 licensed.
Workflow management system that makes it easy to take your data pipelines and add semantics like retries, logging, dynamic mapping, caching, failure notifications, and more.
Unified analytics engine for large-scale data processing. In-memory cluster computing with high-level APIs in Python, Scala, Java, and R. Powers MLlib for distributed machine learning and Structured Streaming for real-time data. Apache 2.0 licensed.
star:19047 NATS is a simple, secure, and performant communications system for digital systems, services, and devices.
Event-driven orchestration and scheduling platform for mission-critical workflows. Infrastructure-as-Code approach with declarative YAML, Git version control integration, and hundreds of plugins for data pipelines and ML workflows. Apache 2.0 licensed.
Stream processing framework with powerful batch and streaming capabilities. High-throughput, low-latency runtime with exactly-once processing guarantees. Ideal for real-time AI inference pipelines and event-driven ML applications. Apache 2.0 licensed.