Accelerate Application Integration and Workflow Automation with Kubernetes

Learn how TriggerMesh open source integration brings DevOps speed and self service to the integration layer.

Accelerate Application Integration and Workflow Automation with Kubernetes
Hasura
Confluent
Google Pub/Sub
Apache Kafka
IBM MQ
Google Cloud Firestore
Datadog
Logz.io
Zendesk
Azure Sentinel
Salesforce
SendGrid
AWS CloudWatch Logs
Zendesk
Azure Event Hubs
AWS Kinesis
Google Storage
AWS Cognito
Elasticsearch
AWS S3
AWS SNS
GitHub
AWS CloudWatch
Tekton
Google Sheets
OracleDB
AWS Comprehend
CloudEvents
AWS EventBridge
AWS lambda
Azure Queue Storage
AWS EventBridge
AWS Code Commit
Alibaba OSS
Webhooks
AWS Dynamo DB
AWS SQS
Azure Blob Storage
Slack
Twilio
JIra
Azure EventGrid
Google Cloud Workflows
Google Cloud Billing
Google Cloud Audit Logs
AWS Lambda
Azure Service Bus
Azure Activity Logs
OCIMetrics
Azure IoT Hub
Splunk

Connecting applications, data, and workflows across cloud and on-premises environments is a growing challenge. Conventional integration platforms and IPaaS offerings are proprietary, difficult to setup and maintain, and exceedingly expensive.

TriggerMesh is different.

An open source, cloud-native integration platform based on Kubernetes, we provide a faster, easier, more affordable way to connect and automate on-premises systems and cloud services.

In this recorded webinar, TriggerMesh Senior Engineer Antoine Cotten demos how to create complex multi-cloud integrations with just a few lines of code using our new TriggerMesh Integration Language (TIL). TIL is based on HashiCorp Configuration Language, so it is very familiar to developers and operators that use Terraform.

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