Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Knative, initially developed by Google and supported by contributions from more than 50 companies, provides a vital suite of components for creating and operating serverless applications on Kubernetes. It includes capabilities such as scale-to-zero, autoscaling, in-cluster builds, and a robust eventing framework tailored for cloud-native environments. Knative effectively standardizes best practices gleaned from successful Kubernetes-based frameworks, whether deployed on-premises, in the cloud, or within third-party data centers. This platform empowers developers, allowing them to concentrate on writing code and innovating without getting bogged down by the challenging yet mundane aspects of application development, deployment, and management. Additionally, Knative's design fosters a more efficient development process, making it easier to integrate and utilize modern technologies.
Description
TriggerMesh envisions a future where developers increasingly create applications as a connected network of cloud-native functions and services, integrating resources from various cloud providers along with on-premises systems. This kind of architecture is seen as optimal for agile businesses striving to offer seamless digital experiences to their users.
As the pioneer in utilizing Kubernetes and Knative, TriggerMesh facilitates application integration that spans both cloud environments and on-premises infrastructure. With the capabilities offered by TriggerMesh, enterprises can streamline their workflows by linking applications, cloud services, and serverless functions efficiently.
The rise of cloud-native applications has led to an explosion in the number of functions distributed across diverse cloud platforms. TriggerMesh effectively dismantles the barriers between different cloud environments, ensuring genuine cross-cloud portability and interoperability for modern businesses. This approach not only enhances flexibility but also empowers organizations to innovate without being restricted by their infrastructure choices.
API Access
Has API
No
API Access
Has API
No
Integrations
Kubernetes
Yes
Amazon Web Services (AWS)
No
Ambassador
Yes
Azure Event Hubs
No
Batteries Included
Yes
BentoML
Yes
Citrus
Yes
GitHub
No
Google Cloud Platform
Yes
Google Cloud Pub/Sub
Yes
Integrations
Kubernetes
Yes
Amazon Web Services (AWS)
Yes
Ambassador
No
Azure Event Hubs
Yes
Batteries Included
No
BentoML
No
Citrus
No
GitHub
Yes
Google Cloud Platform
No
Google Cloud Pub/Sub
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Website
cloud.google.com/knative
Vendor Details
Company Name
TriggerMesh
Website
www.triggermesh.com
Product Features
Application Development
Access Controls/Permissions
Yes
Code Assistance
Yes
Code Refactoring
Yes
Collaboration Tools
Yes
Compatibility Testing
Yes
Data Modeling
Yes
Debugging
Yes
Deployment Management
No
Graphical User Interface
Yes
Mobile Development
No
No-Code
No
Reporting/Analytics
Yes
Software Development
Yes
Source Control
No
Testing Management
Yes
Version Control
Yes
Web App Development
Yes
Serverless
API Proxy
No
Application Integration
Yes
Data Stores
No
Developer Tooling
No
Orchestration
No
Reporting / Analytics
No
Serverless Computing
Yes
Storage
No
Product Features
Integration
Dashboard
No
ETL - Extract / Transform / Load
No
Metadata Management
No
Multiple Data Sources
No
Web Services
No
iPaaS
AI / Machine Learning
No
Cloud Data Integration
No
Dashboard
No
Data Quality Control
No
Data Security
No
Drag & Drop
No
Embedded iPaaS
No
Integration Management
No
Pre-Built Connectors
No
White Label
No
Workflow Management
No