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

AWS Kinesis

AWS SQS

Apache Kafka

IBM MQ

Twilio

Azure Sentinel

Slack

AWS Lambda

Alibaba OSS

Solace

OracleDB

AWS CloudWatch Logs

Azure IoT Hub

Datadog

AWS CloudWatch

Google Cloud Audit Logs

AWS Dynamo DB

AWS lambda

Confluent

Google Sheets

Hasura

Tekton

Azure Blob Storage

AWS Comprehend

Logz.io

Azure EventGrid

AWS S3

Google Pub/Sub

Azure Activity Logs

Azure Queue Storage

AWS SNS

MongoDB

Webhooks

AWS EventBridge

AWS EventBridge

Google Cloud Workflows

Jira

Azure Event Hubs

AWS Cognito

Google Cloud Firestore

Salesforce

Azure Service Bus

Zendesk

Zendesk

AWS Code Commit

CloudEvents

SendGrid

Google Cloud Billing

Google Storage

OCIMetrics

Elasticsearch

Splunk

GitHub

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:

Consume Kafka messages in Kubernetes
Send messages to Kafka declaratively
Configure Kafka sources and sinks in Kubernetes
Simplify Kafka Connectors configuration with the TriggerMesh Integration Language

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