Integrate Across Clouds in Minutes

Does it take weeks, a month, or longer to setup cross-cloud application flows and data syncs? We think that’s crazy at a time of mounting feature requests.

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

Proprietary integration is slow, expensive, and relies on consultants. The TriggerMesh open source API and integration as code automate the combination of on-premises systems and multi-cloud services.

As today's businesses move toward an event-driven multicloud model, cloud integration is sorely needed. Managing this increasing level of complexity generally takes one of two paths: proprietary or open source. This paper describes how TriggerMesh open source integration gives enterprises full control by treating integrations like source code.

This essential guide shows you how to seamlessly weave events together regardless of which cloud, SaaS or on-premises applications you use.


Learn how to standardize integrations across clouds

Register
DOWNLOAD

Customer

The seventh largest US bank in terms of assets, PNC is a leader in applying DevOps, AI/ML, and cloud-native infrastructure to improve operational efficiency and speed their digital modernization.

Problem

The Portfolio Management team needed to automate and accelerate the Software Supply Chain security and risk control process in order to reduce application deployment time and provide a governance audit trail. The formerly manual compliance processes took 30 days, slowing developer productivity and delaying feature releases.

Solution

PNC automated the previously manual processes by codifying them into serverless functions and leveraging TriggerMesh to build an on-premises event-driven application flow. The team uses the TriggerMesh declarative API to build an application flow between Apache Kafka and Jenkins that trigger the bank’s serverless Policy-as-Code application to route pass/fail status back to Kafka. These event-driven application flows use TriggerMesh’s integration-as code along with continuous delivery to build a high performance, reproducible EDA that provides real-time feedback for critical infrastructure.

Results

A previously 30-day process now runs automatically and finishes in near real-time, allowing  PNC to keep up with the surge of new applications and services while maintaining 100% security and compliance reporting.

Join our newsletter

Sign up for our newsletter for the latest news, training, and offers to help you build event-driven systems with TriggerMesh.