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

Google Pub/Sub

IBM MQ

AWS CloudWatch Logs

Google Cloud Audit Logs

AWS lambda

AWS Kinesis

Azure Activity Logs

Slack

AWS Cognito

Google Cloud Billing

Confluent

GitHub

Logz.io

Webhooks

AWS Dynamo DB

Solace

Alibaba OSS

Azure Event Hubs

AWS SNS

SendGrid

Salesforce

Zendesk

Azure Blob Storage

CloudEvents

JIra

AWS S3

Hasura

AWS SQS

OCIMetrics

Google Cloud Firestore

AWS Comprehend

Azure Sentinel

Azure Service Bus

Azure Queue Storage

Tekton

AWS Lambda

Zendesk

Datadog

Google Cloud Workflows

AWS Code Commit

MongoDB

Google Storage

AWS CloudWatch

Splunk

Azure IoT Hub

OracleDB

AWS EventBridge

AWS EventBridge

Azure EventGrid

Elasticsearch

Twilio

Apache Kafka

Google Sheets

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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