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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
Middleware Observability & management software for Messaging, event processing, and Streaming Across Hybrid Clouds (MESH).
- 360 degree situational awareness® with complete observability of Integration MESH
- Manage configuration, administration and deployment in a secure manner and automate them.
- Track and trace transactions, messages, and flows
- Collect data, monitor performance, and benchmark it
meshIQ provides granular controls for managing configurations in the MESH, reducing downtime and allowing quick recovery after outages. It allows you to search, browse, track and trace messages in order to detect bottlenecks, speed up root cause analysis, and detect bottlenecks. Unlocks integration blackbox for visibility across MESH infrastructure in order to visualize, analyse, report and predict. Delivers the capability to trigger automated action based on predefined criteria or intelligent AI/ML actions.
API Access
Has API
API Access
Has API
Integrations
ActiveMQ
Amazon Web Services (AWS)
Apache Kafka
Cisco AnyConnect
Datadog
GraphQL
Honeywell Forge
IBM DataPower Gateway
IBM Event Streams
IBM MQ
Integrations
ActiveMQ
Amazon Web Services (AWS)
Apache Kafka
Cisco AnyConnect
Datadog
GraphQL
Honeywell Forge
IBM DataPower Gateway
IBM Event Streams
IBM MQ
Pricing Details
$250 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Kong
Founded
2017
Country
United States
Website
konghq.com/kong-mesh
Vendor Details
Company Name
meshIQ
Founded
1994
Country
United States
Website
meshiq.com
Product Features
Product Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions
Message Queue
Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling