dapr/dapr

Features

• Agentic Frameworks - Creating intelligent agents that maintain long-running state and manage complex task execution across distributed environments without losing progress during restarts.
• Workflow Orchestration Engines - Manages long-running distributed processes by persisting execution state to external storage to ensure reliability across service restarts and failures.
• Agentic AI Frameworks - Create durable intelligent agents that maintain state and manage long-running interactions to perform complex tasks across distributed systems without losing progress during process restarts.
• Distributed Application Runtimes - Deploy distributed applications using sidecar processes that communicate via standard network protocols to support any programming language without requiring specific software development kits or dependencies.
• Distributed Computing Frameworks - Write distributed applications using language-specific tools that provide simple interfaces for interacting with runtime building blocks and underlying infrastructure services during the development process.
• Distributed Runtimes - A sidecar-based infrastructure layer that provides standardized interfaces for state management, messaging, and observability in microservice architectures.
• Mutual Authentication - Enforces secure communication between distributed components by automatically managing identity certificates and encrypted tunnels for all network traffic.
• Distributed Orchestration Frameworks - Building resilient and scalable systems by coordinating communication, state management, and workflows across independent services using standardized interfaces.
• Service Mesh Alternatives - A runtime environment that handles service discovery, mutual authentication, and traffic management without requiring manual instrumentation within application code.
• Distributed Systems Building Blocks - Solve common system challenges by using modular building blocks that provide consistent interfaces for managing application state, messaging, and communication between different services.
• Microservice Orchestration - Develop resilient microservices that communicate securely using a service invocation interface that handles service discovery, automatic retries, and mutual authentication between different network components.
• Distributed Tracing - Injects and extracts standard headers across network boundaries to maintain visibility into request flows throughout complex service architectures.
• Observability Platforms - Gaining visibility into complex service architectures by automatically collecting logs, metrics, and request traces without manual instrumentation of application code.
• System Metrics - Track performance by collecting time-series data on request latency, error rates, and resource usage to maintain visibility into the health of background processes and control planes.
• Infrastructure and Orchestration - Portable runtime for building distributed applications.
• Serverless Platforms - Portable runtime for distributed applications.
• General Purpose Orchestration - Durable, long-running workflow-as-code for multiple programming languages.
• Sidecar Proxies - Runs a dedicated process alongside the application to intercept network traffic and provide infrastructure capabilities without modifying the primary code.
• Distributed Tracing - Emit request tracing data using standard protocols to integrate with observability tools for monitoring the flow of operations across complex distributed service architectures.
• Event-Driven Architectures - Decoupling services through asynchronous messaging patterns to create responsive systems that react to data changes and external events reliably.
• Event Driven Messaging - Build event-driven applications by decoupling services through a publish-subscribe interface that manages message delivery, retries, and integration with various external message brokers.
• Workflow Orchestrators - A platform for coordinating stateful workflows and asynchronous message delivery across independent services to ensure reliable distributed task execution.
• Tracing Context Propagation - Inject standard tracing headers into network requests automatically to ensure consistent tracking across multiple services without requiring manual instrumentation within the primary application code.
• Microservice Toolkits - A collection of modular components that abstract complex infrastructure tasks into simple network-accessible APIs for distributed service development.
• Modular Provider Interfaces - Uses a modular provider model to swap underlying infrastructure services like databases or message brokers without changing application logic.
• Service Mesh Infrastructure - Connecting diverse services written in different programming languages by using sidecar processes to handle infrastructure concerns and network communication.
• IDE Integrations - Connect your code editor to local runtime components to streamline your daily workflow and simplify the management of distributed application services while you write code.
• Distributed Systems Management - Maintain distributed applications by configuring hosting environments, monitoring system health, and applying operational best practices to ensure consistent performance across all deployed service instances.
• Health Checks - Expose status endpoints and configure automated probes to monitor application availability, enabling the system to respond automatically to changes in service health or connectivity.
• API Abstraction Layers - Exposes infrastructure building blocks through standard network protocols to allow any programming language to interact with the runtime.

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