Instantly Connect Real-Time Data Streams with Any Application Anywhere

Use the TriggerMesh declarative API to sync Kafka messages with Kubernetes-based workloads.

Instantly Connect Real-Time Data Streams with Any Application Anywhere
Azure EventGrid
AWS EventBridge
AWS CloudWatch Logs
Logz Metrics
Google Cloud IoT
AWS Kinesis
Confluence
Splunk
OCIMetrics
JIra
UiPath
Azure Event Hubs
Azure Service Bus Topic
Google PubSub
AWS CloudWatch
Tekton
GitLab
OracleDB
Google Cloud Billing
Google Cloud Source Repositories
Google Cloud Workflows
Apache Kafka
Schedule Functions
IBM MQ
AWS EventBridge
Datadog
Webhooks
Knative
Amazon Kinesis
AWS Performance Insights
Kubernetes
Azure Blob Storage
Zendesk
AWS Comprehend
Google Cloud Audit Logs
Amazon SQS
Azure
Target
AWS S3
Slack
Hasura
Google Cloud Firestore
Twilio
AWS Dynamo DB
Bitbucket
Alibaba OSS
VMware Vsphere
OpenShift Serverless
Salesforce
Azure Queue Storage
Amazon Lambda
AWS SNS
AWS Cognito Identity
SendGrid
AWS Code Commint
Azure IoT Hub
Logz.io
Azure Activity Logs
AWS Cognito User Pool
Elasticsearch
GitHub
Amazon SNS
AWS SQS
Zendesk
InfraJS
AWS lambda
Google Storage
Microsoft Active Directory
GCP
Confluent
Google Sheets
Azure Service Bus Queue

In this technical paper we describe (with code samples) how TriggerMesh removes Kafka Connect speed bumps so you can realize the full velocity and resiliency advantages of Kafka and Kubernetes.

You'll learn how to:
  1. Consume Kafka messages in Kubernetes
  2. Send messages to Kafka declaratively
  3. Configure Kafka sources and sinks in Kubernetes
  4. Simplify Kafka Connectors configuration with the TriggerMesh Integration Language

Learn More

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