TriggerMesh Brings Eventing to DigitalOcean
Easily build event-driven applications
Easily capture, route, and deliver events
Who is it For?
Empower developers in your organization to write code that reacts to events from any cloud service or in-house application. Increase agility and reduce lead time. Keep producers and consumers decoupled.
Connect SaaS applications and on-prem systems to unleash new productivity and innovation. Be agile and incremental and avoid bottlenecks.
B2B Software Vendors
Grow your business by expanding your target market and landing more deals. TriggerMesh lets you quickly add new event flows and integrations to your software without disrupting core R&D efforts.
How It Works
Brokers provide unified access to events
A broker can be memory-only, backed Redis for durability, or leverage Knative.
Easily transform events
Use the TriggerMesh low-code transformation language, or for more flexibility you can write functions in python, node or ruby.
Built-in event types and schemas
Archive and replay past events (preview)
Replay events to a new consumer, or recover from an issue by replaying already processed events to a recently patched service.
Run on Docker or natively on Kubernetes
It now also runs on just Docker, for easy local development and simpler deployments.
Accelerate Event Driven Test Engineering at ManoMano
TriggerMesh is scratching ManoMano’s itch to reduce the number of idling containers that waste valuable compute resources, while also providing developers with an easy way to deploy their code that consumes AWS events.
Fortune 500 Bank Automates Software Supply Chain Security with TriggerMesh
The previously manual 30-day process now runs automatically and finishes in a few hours.
All event processing code runs as auto-scalable serverless functions, easily accommodating demand peaks, and only consuming the compute resources needed.
Global FinTech Accelerates Event Flow from Salesforce to On-premises Kafka
The streamlined EDA with TriggerMesh reduced complexity by 50%, significantly speeding up the implementation of new Application Flows between Salesforce and Kafka. The simplified architecture also reduces technical debt and shrinks the attack surface, making the systems even more stable and secure.