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

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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