Clamp

An opinionated approach to micro-services orchestration using workflows. Build microservices ground up or strangulate existing monoliths seamlessly
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Blazingly fast and scalable

Clamp handles large workloads with high throughput at low latency. It scales linearly to ensure that orchestration is never the bottleneck in your architecture. It equally favors low latency service calls as well as long running workflows
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Technology agnostic

Clamp, written in GoLang, is a stand alone component that can be deployed as a binary or as a container within your infrastructure. It is independent of technology stack of services and continues to provide the same low latency throughput
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Multi-protocol support

Clamp handles workflows that involve synchronous and asynchronous steps. It can work with HTTP, AMQP and Kafka. The GRPC and MQTT support is on the way. Suppport for multiple protocols allow you to pick the right architecture and tools that work for you
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Transparent orchestration with no agents

Clamp works transparently with diverse communication channels (HTTP, AMQP, Kafka). The services do not need consumer libraries or agents for orchestration. Clamp is an ideal tool to help build microservices ground up as well as strangulate existing monoliths to microservices
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Clamp overview

Clamp is a microservices orchestration and workflow manegement framework. It is built with a view that orchestration results in a more readable and scalable architecture for distributed services. Written in GoLang, Clamp is scalable and ideal for monolith strangulation to microservices.

Use cases for Clamp

Clamp is an opinionated approach to workflow orhcestration in microservices. There are many use cases where Clamp can help with right design and evolution of architecture. The most popular ones have been shown here. Refer to our documentation section to read about these in detail and understand how you can adopt clamp to evolve your architecture with right design

Greenfield microservices

Monolith strangulation

Data ingestion and processing