TriggerMesh Announces Open Source

Open Source Integration Platform

Build event-driven applications on Kubernetes

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OpenShift Serverless
Schedule Functions
Splunk
Splunk
GCP
Zendesk
VMware Vsphere
Azure Event Hubs
Azure
Azure Activity Logs
GitLab
Bitbucket
Confluent
Azure Blob Storage
Google Storage
Apache Kafka
AWS Code Commint
Zendesk
AWS Cognito Identity
Microsoft Active Directory
AWS S3
Logz.io
Amazon SQS
AWS EventBridge
Tekton
Salesforce
Amazon Kinesis
InfraJS
Knative
Slack
AWS SNS
Amazon SNS
AWS Kinesis
AWS Cognito User Pool
Datadog
OracleDB
Kubernetes
Amazon Lambda
AWS SQS
Confluence
GitHub
Webhooks
Twilio
Google PubSub
AWS lambda
OCIMetrics
Google Sheets
AWS EventBridge
AWS Dynamo DB
Hasura
Elasticsearch
SendGrid
Target

Integrate, Automate, and Accelerate

Enable Kubernetes Developers

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.

Modern Integration

Proprietary integration is slow, expensive, and relies on consultants. The TriggerMesh open source API and integration as code automate the combination of on-premises systems and cloud services.

Real-time Data Flows

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.

How it works

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

Kubernetes native
1
Kubernetes native API

Our API is exposed as Kubernetes objects. Incorporate existing Kubernetes objects like Secrets and ConfigMaps when defining your integrations

Integrate components as code
2
Integrate components as code

Declarative and API-driven integration sources and targets. Manage integrations declaratively from the command line, CI/CD pipeline or integrated in code

Declaratively Event driven
3
Declaratively event driven

As a full Event-driven platform, TriggerMesh integrations inherit a strong sense of loose coupling, allowing for unlimited extensibility

more about Integration as code

For less complex use cases, and less technical users, our low-code UI lets you quickly create new application flows (called Bridges)

1
Choose a Source

Events are changes that happen within a system. These changes are captured via a message and forward as event sources

2
Choose a Target

Targets are the serverless infrastructures that consume events and trigger the functions

3
Configure the Bridge

Use the TriggerMesh Controller to configure the Bridge

CHECK OUT OUR BRIDGE CATALOG

Build EDAs And Sync Data The Modern Way

Automate Cloud Native Integrations on Kubernetes

Build Event-Driven Systems

Sync Data and Events Across Any Platform

Sync data and events between any systems running on any platform. Event transformation and filtering separate signal from noise.

Sample Use Cases

Cloud Providers

Trigger Serverless Functions

Publish and trigger functions and/or Kubernetes workloads from other clouds or your data center apps

Cloud Services

Salesforce To ERP

Read Salesforce Events, transform them into Kafka Events, and publish them using the generic Kafka proxy

Kubernetes Services

Flood a Data Lake

Send Azure Activity Logs as CloudEvents to Splunk, where they can be further analyzed and visualized

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