As cloud services grow, integration complexity grows exponentially, stressing legacy iPaaS tools. TriggerMesh is the leading Kubernetes-based integration platform to connect all your systems and data using industry-standard, open source technology.
Proprietary integration is slow and expensive. The TriggerMesh open source API and integration as code automate the combination of on-premises systems and cloud services so you can manage integrations declaratively.
As the leading Kubernetes-based integration platform, TriggerMesh accelerates the move to an event-driven architecture. Our Knative-powered platform provides an easy, standard way to create cloud native applications.
For enterprises seeking to modernize applications and take action in real time, adding TriggerMesh to Apache Kafka simplifies the creation and maintenance of data integrations. The TriggerMesh API is much simpler than Kafka Connect.
Create integration as code using our declarative API. Combine with your existing CI/CD pipeline for a fully-automated GitOps approach to cloud native integration
Our API is exposed as Kubernetes objects. Incorporate existing Kubernetes objects like Secrets and ConfigMaps when defining your integrations
Declarative and API-driven integration sources and targets. Manage integrations declaratively from the command line, CI/CD pipeline or integrated in code
As a full Event-driven platform, TriggerMesh integrations inherit a strong sense of loose coupling, allowing for unlimited extensibility
For less complex use cases, and less technical users, our low-code UI lets you quickly create new application flows (called Bridges)
Events are changes that happen within a system. These changes are captured via a message and forward as event sources
Targets are the serverless infrastructures that consume events and trigger the functions
Use the TriggerMesh Controller to configure the Bridge
Automate integrations using our Kubernetes-based platform
Publish and trigger functions and/or Kubernetes workloads from other clouds or your data center apps
Read Salesforce Events, transform them into Kafka Events, and publish them using the generic Kafka proxy
Send Azure Activity Logs as CloudEvents to Splunk, where they can be further analyzed and visualized