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Horizontally Scalable Workflow Orchestration

Automate your processes with unprecedented scalability and flexibility with Camunda Cloud and it’s ground-breaking BPMN workflow engine, Zeebe

BPMN 2.0 Integration

Visual processes modeled in ISO-standard BPMN 2.0, allowing business and IT stakeholders to collaborate on workflow design in a common language.

The Workflow Engine executes most of the symbols defined in the BPMN 2.0 standard.

Horizontal Scalability

The ability to scale to handle high-throughput workloads is critical to microservice orchestration. Camunda Cloud uses partitioning of created clusters in order to provide horizontal scalability. This allows scaling to many thousands of workflow instances per second.

Language Agnostic

Provides out-of-the-box clients in Java and Go. Clients are based on gRPC, meaning that a client can be generated easily in many of the programming languages that organizations typically use to build microservices. A list of gRPC-supported programming languages is available on gRPC.io.

Fault Tolerant and Highly Available

Data is distributed across brokers in a cluster and is stored directly on the filesystems in the servers where it is deployed. If one broker goes down, another can replace it with no data loss. Thus providing fault tolerance and high availability without the need for an external database.

Fully Message-Driven

Brokers and clients communicate entirely via publish-subscribe, making it possible to adhere to the principle of loose coupling and enabling asynchronous communication between Zeebe and the microservices. Zeebe’s subscription protocol includes a backpressure mechanism ensuring that clients aren’t overloaded with work from the process engine.

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In your Dev Environment

Check out Zeebe

Zeebe is a source-available project developed in the open. You can download Zeebe and try it out in your own development environment.

Download via GitHub
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Core Technical Concepts

Learn more about some of the innovative ideas and concepts that make Camunda Cloud so powerful and highly scalable.

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