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Portable runtime that gives microservices building blocks - state management, pub/sub messaging, service invocation, and workflow - over a sidecar API in any language.

• Backend

CNCF distributed tracing platform for visualizing request flows across microservices, pinpointing exactly which service or call is responsible for latency or errors.

• Monitoring

Application performance monitoring (APM) platform providing distributed tracing, service topology, and metrics in one system.

• Monitoring

Distributed filesystem and object storage system built for cloud-native, large-scale data-intensive applications.

• Storage

The leading service mesh for Kubernetes, adding traffic management, security, and observability to microservices without changing application code.

• DevOps

Lightweight, high-performance messaging system for cloud-native applications, built around simplicity and low operational overhead.

• Backend

Automatic OpenTelemetry instrumentation platform that adds distributed tracing to applications without changing a single line of code.

• Monitoring

Vendor-neutral pipeline for collecting, processing, and exporting traces, metrics, and logs from applications to any observability backend.

• Monitoring

Dynamic, high-performance API gateway built on NGINX and etcd, adding hot-reloaded plugins, canary releases, and AI-traffic routing on top of traditional gateway features.

• API

Distributed event streaming platform that stores data as a durable, replayable log, built for high-throughput real-time pipelines rather than traditional point-to-point queuing.

• Backend

Distributed wide-column NoSQL database designed for massive scale and zero single point of failure across multiple data centers.

• Database

Industry-standard distributed storage system providing object, block, and file storage from a single unified cluster.

• Storage

Industry-standard container runtime that manages the container lifecycle - image transfer, execution, and supervision - underneath Docker and Kubernetes.

• DevOps

Deep learning optimization library from Microsoft for training and running very large models efficiently across multiple GPUs.

• AI & Machine Learning

Distributed, consistent key-value store that Kubernetes itself uses to store all cluster state, and a reliable building block for other distributed systems.

• DevOps

CNCF runtime security tool that detects unexpected or malicious behavior in containers and hosts as it happens, using kernel-level monitoring.

• DevOps

Distributed, ordered key-value store with strong ACID transaction guarantees, designed as a reliable storage substrate for other systems.

• Database

High-performance, open-source RPC framework that lets services call each other's functions directly across languages and networks.

• API

Distributed POSIX filesystem that stores data on object storage like S3, combining familiar filesystem semantics with cloud-scale storage.

• Storage

Cloud-native API gateway that handles routing, load balancing, authentication, and traffic management for microservices, APIs, and LLM/MCP traffic.

• API

Lightweight, distributed block storage for Kubernetes, designed to be simple to deploy and operate compared to heavier storage systems.

• Storage

eBPF-based observability platform that gives instant visibility into Kubernetes applications without any code changes or manual instrumentation.

• Monitoring

Distributed messaging and streaming platform that unifies traditional queuing and event streaming with built-in multi-tenancy.

• Backend

Kubernetes-native Java framework designed for fast startup times and low memory footprint, tailored for containers and serverless.

• Backend

Cloud-native search engine purpose-built for observability data, indexing logs and traces directly on object storage for cost-efficient search at scale.

• Search

Mature, widely deployed message broker for decoupling services with reliable queues, routing, and pub/sub messaging across AMQP, MQTT, and STOMP.

• Backend

Distributed file and object storage system built to store and serve billions of files fast, speaking S3, POSIX, and lakehouse (S3 Tables) protocols.

• Storage

Unified analytics engine for large-scale batch and stream data processing, one of the most widely adopted big data frameworks.

• Analytics

MySQL-compatible distributed SQL database that scales horizontally while supporting both transactional and analytical workloads.

• Database

Distributed SQL query engine that lets you run federated queries across multiple data sources - databases, data lakes, and more - from one place.

• Analytics

Distributed messaging and streaming platform built for financial-grade transactional reliability at very high throughput.

• Backend

Open-source authentication library built on standard Web APIs, supporting OAuth, email/passwordless and credential-based sign-in for any JavaScript framework or runtime.

• Authentication & Security

Cloud Native Buildpacks build production-ready container images directly from application source code, without writing a Dockerfile.

• Developer Tools

Automates issuing, renewing, and managing TLS certificates for Kubernetes applications, eliminating manual certificate handling.

• DevOps

Open-source testing framework for evaluating LLM outputs, treating LLM application quality checks like conventional unit tests.

• AI & Machine Learning

Distributed search and analytics engine for all types of data, including text, numerical and geospatial.

• Search

High-performance proxy built for cloud-native applications, serving as the foundational data plane for many modern service meshes and API gateways.

• DevOps

Distributed stream processing engine for computing over continuous, unbounded data streams with exactly-once correctness guarantees.

• Analytics

Google's UI toolkit for building natively compiled applications for mobile, web and desktop from a single codebase.

• Mobile

Open-source framework for building production-ready search and RAG (retrieval-augmented generation) applications with LLMs.

• AI & Machine Learning

The standard package manager for Kubernetes, letting you define, install, and upgrade even complex applications as versioned, reusable charts.

• DevOps

Kubernetes-native platform for building and running serverless applications, handling autoscaling (including scale-to-zero) and traffic management.

• DevOps

Open source system for automating deployment, scaling and management of containerized applications.

• DevOps

Framework for developing applications powered by large language models, agents and retrieval-augmented generation.

• AI & Machine Learning

CNCF chaos engineering platform for Kubernetes that runs fault-injection experiments to validate how applications recover from failure.

• Testing

Data framework for connecting large language models to your own data - documents, databases, APIs - for retrieval-augmented applications.

• AI & Machine Learning

Horizontally scalable, distributed time-series database and metrics platform built at Uber for very large-scale monitoring.

• Monitoring

Open source vector database built for scalable similarity search and AI applications.

• AI & Machine Learning
• Database

Toolkit for adding programmable safety and behavioral guardrails to LLM-powered conversational applications.

• AI & Machine Learning

Development tool that lets you code locally while running and debugging your application directly inside a remote Kubernetes cluster.

• Developer Tools

Apache-2.0 licensed distributed search and analytics engine, forked from Elasticsearch to guarantee a fully open-source alternative for full-text search and log analytics.

• Search

API-first, headless identity and user management server for cloud-native applications, covering login, registration, recovery, and profile management.

• Authentication & Security

TypeScript-first headless CMS and application framework with a built-in admin panel.

• CMS

Type-safe agent framework from the team behind Pydantic, bringing familiar Python typing and validation patterns to LLM application development.

• AI & Machine Learning

Vector database and similarity search engine for building AI applications with embeddings.

• AI & Machine Learning
• Database

Distributed data integration platform for moving and transforming data between databases, data lakes, and messaging systems at scale.

• Backend

Security testing orchestration platform that runs multiple open-source scanners against your applications and infrastructure from one pipeline.

• Testing

Microsoft's open-source SDK for integrating large language models into applications, with support for plugins, memory, and planning.

• AI & Machine Learning

Application monitoring platform that helps developers diagnose, fix and optimize the performance of their code.

• Monitoring

Multi-cloud continuous delivery platform originally built at Netflix for deploying applications reliably across many cloud providers and regions.

• DevOps

Open-source ecommerce framework built on Symfony, designed for highly customized commerce applications with a strong testing culture and REST API.

• E-commerce

Optimized, distributed gradient boosting library widely used for structured/tabular data problems, a staple of applied machine learning.

• AI & Machine Learning