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

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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