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Average Ratings 0 Ratings
Description
Kuma provides an enterprise service mesh that seamlessly operates across multiple clouds and clusters, whether on Kubernetes or virtual machines. With just a single command, users can deploy the service mesh and automatically connect to other services through its integrated service discovery features, which include Ingress resources and remote control planes. This solution is versatile enough to function in any environment, efficiently managing resources across multi-cluster, multi-cloud, and multi-platform settings. By leveraging native mesh policies, organizations can enhance their zero-trust and GDPR compliance initiatives, thereby boosting the performance and productivity of application teams. The architecture allows for the deployment of a singular control plane that can effectively scale horizontally to accommodate numerous data planes, or to support various clusters, including hybrid service meshes that integrate both Kubernetes and virtual machines. Furthermore, cross-zone communication is made easier with Envoy-based ingress deployments across both environments, coupled with a built-in DNS resolver for optimal service-to-service interactions. Built on the robust Envoy framework, Kuma also offers over 50 observability charts right out of the box, enabling the collection of metrics, traces, and logs for all Layer 4 to Layer 7 traffic, thereby providing comprehensive insights into service performance and health. This level of observability not only enhances troubleshooting but also contributes to a more resilient and reliable service architecture.
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
Yes
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
Kubernetes
Yes
Cisco AnyConnect
Yes
Datadog
Yes
GitHub
No
Google Cloud Platform
Yes
GraphQL
Yes
Honeywell Forge
Yes
IBM Cloud
Yes
Infosys BPM
Yes
Integrations
Amazon Web Services (AWS)
Yes
Kubernetes
Yes
Cisco AnyConnect
No
Datadog
No
GitHub
Yes
Google Cloud Platform
No
GraphQL
No
Honeywell Forge
No
IBM Cloud
No
Infosys BPM
No
Pricing Details
$250 per month
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Kong
Founded
2017
Country
United States
Website
konghq.com/kong-mesh
Vendor Details
Company Name
TriggerMesh
Website
www.triggermesh.com
Product Features
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