What is TriggerMesh?
It provides tools that enable developers to deploy and manage their functions-as-a-service (FaaS) and provide full-lifecycle management of your cloud-native and microservices from a single central console on all of your clouds and on-premise.
TriggerMesh is a tool in the Serverless / Task Processing category of a tech stack.
Who uses TriggerMesh?
- Easily connect SaaS, cloud, and on-premises applications with serverless and cloud-native architectures
- Bring your legacy applications to the cloud and leverage your existing IT investment
- Improve developer productivity and provide consistency by integrating all services through a single standard platform
TriggerMesh Alternatives & Comparisons
What are some alternatives to TriggerMesh?
See all alternatives
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.
Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.
Google Cloud Functions
Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running
Cloud Functions for Firebase
Cloud Functions for Firebase lets you create functions that are triggered by Firebase products, such as changes to data in the Realtime Database, uploads to Cloud Storage, new user sign ups via Authentication, and conversion events in Analytics.