Driven by trends such as platform engineering and serverless, platform engineers, software vendors, enterprises and system integrators (SIs) are requiring easy access to events from various event sources to build event-driven applications while reducing cloud costs.
For some teams, building these capabilities require too much time and resources detracting them from developing their core value. Also, events are often heterogeneous and need to be transformed, which requires additional tools.
“Developers need an easy, low-friction way to consume events and asking everyone to master technologies like Kafka is prohibitive,” claims TriggerMesh.
So then, we come to Shaker.
Shaker from TriggerMesh captures, transforms, and delivers events from many out-of-the-box and custom event sources in a unified manner. It is a simple open source eventing solution that will appeal to most DevOps, SREs, and platform engineers looking to boost their event-driven journey.
A cloud-native integration platform provider by trade, TriggerMesh’s new release provides many of the same capabilities as AWS EventBridge but is open-source, can run anywhere that has Docker or Kubernetes, and is designed to capture events from all cloud providers as well as SaaS or custom applications.
“Developers and platform engineers are craving for a simple eventing solution to support faster innovation within their organisations,” says TriggerMesh co-founder and CEO Sebastien Goasguen. “The Shaker open source AWS EventBridge alternative project will appeal to most DevOps, SREs, and platform engineers who are looking to boost their event-driven journey.”
TriggerMesh captures, transforms, and delivers events, without needing to write a single line of code, all while providing guarantees that events will be safely delivered. Developer productivity is amplified by the intuitive new CLI and simplified operations of the new Broker.
AWS, Azure, GCP
The Shaker project from TriggerMesh provides benefits including unified eventing: TriggerMesh provides a unified way to work with events (using the CloudEvents specification) and provides access to the most popular event sources and targets in AWS, Azure and GCP out of the box.
TriggerMesh also includes a transformation engine based on a simple DSL, but also offers code-based transformations when more flexibility is needed.
TriggerMesh says that developers can create their first event flow in under five minutes on any computer that runs Docker, whether using AWS, Azure, GCP, Kafka, or simply HTTP webhooks.