zeebe-io/zeebe

Features

• BPMN 2.0 Process Modeling - Provides full support for designing executable business process flows according to the BPMN 2.0 standard.
• BPMN Execution Engines - Provides a distributed runtime that executes business processes defined using the BPMN and DMN standards.
• AI Agent Orchestration - Coordinates specialized AI agents, integrating their reasoning and tool use into deterministic business processes.
• AI Agent State Coordination - Manages the execution state and coordination of AI agents to automate complex business workflows.
• Decision Table Evaluators - Evaluates business rules defined in decision tables to produce rapid outcomes during process execution.
• LLM Connectivity Frameworks - Enables linking business processes to generative agents and vector databases for complex task execution.
• Execution Flow Routing - Directs the movement of process execution between different nodes using gateways and conditional routing logic.
• Automated Decision Systems - Evaluates rules defined in decision tables to produce rapid, deterministic outcomes during execution.
• BPMN 2.0 Web Modelers - Provides web-based and desktop tools for creating visual representations of business processes.
• Executable Workflow Design - Creates business process diagrams using BPMN and DMN to define executable workflows.
• Process Event Triggers - Triggers new process instances or sends messages to existing ones based on incoming external events.
• Process Instance Managers - Manages the lifecycle of process instances, ensuring state consistency across a replicated broker cluster.
• Process Variable Management - Stores a dynamic map of variables for each process instance to maintain execution context.
• Data Replication Strategies - Implements data replication across multiple nodes to ensure high availability and fault tolerance of process state.
• Quorum-Based Commit Protocols - Ensures data durability by requiring a majority of broker nodes to confirm records before committing.
• External System Integrations - Integrates business workflows with third-party applications and enterprise data sources through standardized connectors.
• Persistent State Management - Maintains execution state through persistent event streams and state machines to ensure consistency.
• Process Event Streams - Organizes process events into persistent partitions to maintain state and ordering within the engine.
• Consensus-Based Replication - Ensures high availability by managing data replicas across brokers using a consensus protocol.
• AI Agent Orchestrators - Coordinates generative AI agents and tool use within deterministic business processes.
• Service Task Workers - Executes technical actions using specialized job workers that respond to defined service task types.
• Background Job Processing - Distributes asynchronous work to external job workers that poll for specific task types.
• Cloud Native Orchestration - Implements a scalable orchestration system designed for containerized cloud environments with partitioned event-streaming.
• Gossip-Based Cluster Membership - Uses a gossip protocol to track active broker nodes and synchronize the cluster topology.
• Broker Clustering - Distributes workloads across a peer-to-peer network of brokers to ensure horizontal scalability and fault tolerance.
• Process Model Deployments - Pushes designed business diagrams to the runtime environment for immediate execution and testing.
• Distributed Job Execution - Distributes workflow tasks across multiple external worker nodes using a polling-based model for horizontal scaling.
• Business Process Orchestration - Coordinates complex sequences of distributed tasks to ensure business processes complete consistently using BPMN and DMN.
• High Availability Clustering - Organizes broker nodes into a cluster to ensure continuous service availability and fault tolerance.
• Horizontal Scaling Deployments - Distributes workloads across stateless gateways and partitioned brokers to enable horizontal scaling.
• Atomic Task Hand-off - Creates jobs for registered workers and resumes the workflow execution upon task completion.
• Polling-Based Job Executors - Decouples execution logic by allowing external workers to poll the engine for available tasks.
• Polling-Based Worker Execution - Implements a polling-based execution model where external workers discover and execute automated business tasks.
• Distributed Actor Workload Scaling - Balances processing traffic by distributing partition leadership across the broker cluster.
• Raft Consensus Implementations - Uses the Raft consensus protocol to maintain cluster membership and ensure consistent leadership across partitions.
• gRPC Event Communication - Uses a high-performance gRPC framework for low-latency data exchange between clients and the orchestration engine.
• Broker Networks - Operates a peer-to-peer network of brokers to ensure high availability of event streams.
• gRPC Workflow Runtimes - Ships a high-performance execution engine using gRPC for communication between clients and the orchestration cluster.
• Centralized Identity Management - Centralizes authentication and authorization across cluster components using OIDC, roles, and groups.
• Connection Authentication Mechanisms - Validates incoming client identities using secure connection mechanisms, including OIDC and automatic token renewal.
• Identity-Based Access Control - Restricts user and entity interaction with the orchestration cluster based on verified identity and authentication.
• Multi-Tenant Data Isolation - Implements strict resource and data segregation between different customers to ensure multi-tenant isolation.
• Role-Based Access Control - Controls system access by assigning specific permissions to users organized into groups via roles.
• User Identity Management - Manages the lifecycle of user profiles, groups, and identities to secure process and application access.
• Backpressure Coordination - Regulates incoming command flow by rejecting excess traffic when processing latency exceeds defined thresholds.
• Distributed State Machines - Manages complex process lifecycles as state machines synchronized across multiple network nodes.
• State Tracking - Tracks process lifecycles and transitions using a persistent stream of events and commands.
• Distributed Event-Streaming Execution - Runs scalable and fault-tolerant business processes using a partitioned event-streaming architecture across a broker cluster.
• Process Lifecycle State Machines - Implements a distributed state machine that tracks business process lifecycles as a persistent stream of events and commands.
• State Machine Orchestrators - Operates as a distributed state machine that manages complex business logic through persistent event streams and transitions.
• Model Deployment - Allows uploading process and decision files to the execution cluster for immediate runtime use.
• Instance Lifecycle Tracking - Tracks active and completed process instances to provide full visibility into workflow progress.
• Real-time Performance Monitoring - Tracks real-time process execution and identifies performance bottlenecks via audit logs and heatmaps.
• Real-Time Workflow Monitoring - Traces real-time flows and allows modifying variables to resume failed process executions.
• Step Execution Controllers - Drives a token through defined BPMN steps to ensure tasks execute in a specific, deterministic order.
• Command-Driven Orchestrators - Implements an orchestrator that maps commands to structured, multi-step execution sequences to trigger workflow transitions.
• Multi-Protocol Tool Exposures - Exposes system documentation and operational interfaces as standardized tools for use by automated agents.
• Human Interaction Management - Provides interfaces for managing the lifecycle of long-running tasks that require human interaction.
• Process Model Generation - Creates executable BPMN processes and forms using natural-language prompts to accelerate development.
• Local Model Development - Allows building and editing process diagrams offline with direct access to underlying XML files.
• Task Management Interfaces - Provides a dedicated user interface for workers to view and complete manual steps in a process.
• Human Task Assignments - Manages human-centric task assignments and interaction lifecycles within automated business processes.
• Bulk Process Operations - Performs actions across multiple process instances using filters to process large datasets.
• Kafka Partition Balancers - Redistributes partition leaders across brokers to eliminate hotspots and optimize system throughput.
• Logical Tenant Isolation - Provides logical isolation of resources and configurations to separate different customers within a shared installation.
• Process Sharding - Distributes workflow instances across multiple shards to balance load and increase event processing volume.
• Horizontal Scaling - Distributes process instances across multiple nodes to increase system throughput and concurrency.
• Multi-Tenant Data Management - Implements isolated data and role-based access to support multiple customers within a shared cluster.
• Runtime State Querying - Retrieves real-time process state and data via the cluster interface for monitoring and analytics.
• Observability Data Indexing - Indexes orchestration data in relational databases or search engines to provide operational visibility.
• Semantic Search - Implements semantic search to retrieve relevant documentation and community context for automated agents.
• BPMN Subprocess Grouping - Encapsulates related elements into subprocesses to define common functionality and manage boundary events.
• Connector Development Toolkits - Provides a dedicated kit and templates for building specialized integration blocks with UI fields and operational bindings.
• Cluster-Wide Task Listeners - Supports cluster-wide triggers that automatically respond to task lifecycle events.
• Cluster Configuration Management - Enables the creation and configuration of clusters and components to coordinate complex business processes.
• Stateless Scaling - Balances incoming traffic across stateless entry points to provide high availability for clients.
• Centralized Environment Management - Provides a centralized administrative interface to control clusters and organization-wide settings.
• Serverless Function Executions - Triggers external cloud functions as discrete execution steps within an automated business process.
• Infrastructure Cluster Management - Provides tools for creating and organizing the server clusters that host the orchestration engine.
• Cluster Administration - Allows administration of clusters and API clients across both cloud-managed and self-managed environments.
• Incident Tracking - Tracks error conditions that prevent a process from advancing after all retry attempts are exhausted.
• Cluster Resource Management - Provides a terminal interface for controlling processes, deploying resources, and inspecting the state of the cluster.
• Multi-Environment Deployments - Supports deploying core engine components across diverse environments including Kubernetes, Docker, and manual installations.
• Self-Hosted Instances - Allows deploying and managing the orchestration engine on self-owned private infrastructure.
• Web API Integration - Connects workflows to external web services using connectors to exchange data and trigger remote actions.
• Peer-to-Peer Broker Networking - Operates a peer-to-peer network of brokers to ensure high availability and distributed workload processing.
• gRPC Implementations - Uses gRPC for high-performance, low-latency communication between clients and the orchestration engine.
• AI Agent APIs - Provides programmatic interfaces that allow large language model applications to interact with and trigger orchestration tools.
• Backpressure Management - Regulates the flow of incoming commands using backpressure mechanisms to prevent resource exhaustion.
• State-Streaming Logs - Streams real-time state changes from the internal log to secondary storage for querying.
• Workflow Element Listeners - Provides hooks to run custom logic at specific lifecycle points when a workflow element starts or ends.
• Process Definition Versioning - Tracks changes to business processes over time by managing multiple definition versions.
• Process Instance Correlation - Matches incoming external messages to specific in-flight process instances using shared correlation keys.
• Programmatic Workflow Triggers - Initiates new process executions programmatically via a client to start automated workflows.
• Concurrent Request Limits - Limits the number of simultaneous in-flight requests to maintain system stability when latency exceeds thresholds.
• Adaptive Rate Control - Dynamically adjusts write rate limits based on system performance to prevent overload during high traffic.
• Desktop Modeling Applications - Offers a visual desktop application integrated with the file system for creating executable diagrams.
• Workflow Exception Handling - Manages technical failures using retries and incidents to ensure reliability and recovery.
• Alerting Systems - Triggers notifications when system usage or performance reports hit critical thresholds.
• Centralized Monitoring Platforms - Provides a centralized management interface to track process instances and resolve execution incidents.
• Cluster Administration - Provides a centralized interface for managing the operational health and configuration of the broker cluster.
• Cluster Health Monitoring - Tracks the operational state and health metrics of the distributed broker cluster.
• REST Management APIs - Offers a programmatic REST API for performing administrative and management tasks across the cluster.
• Incident Response Workflows - Provides mechanisms to fix execution errors by updating variables or modifying instances to resume workflows.
• Performance Reporting - Generates visual reports on workflow execution and performance based on historical audit data.
• Workflow Error Alerting - Sets up notifications to alert operators immediately when errors occur during process execution.
• Execution State Streaming - Exports a continuous stream of state changes to external storage for auditing and business intelligence.
• Workflow Bottleneck Analysis - Identifies slow steps using heatmaps and activity comparisons to improve process flow.
• Business Logic Testing - Verifies the correctness of executable process logic using automated unit tests and in-memory engine simulations.
• Performance Analysis - Collects historical execution data to identify bottlenecks using performance reports and dashboards.
• Heatmaps - Maps instance durations and activity counts to heatmaps to reveal high-volume areas in a process flow.
• Visual Form Designers - Provides tools to visually design custom interfaces for collecting data from users during a process.
• General Purpose Orchestration - Horizontally scalable, cloud-native engine for executing BPMN models.

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