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What is meshIQ?
Middleware observability and management software designed for messaging, event processing, and streaming within hybrid cloud environments is known as MESH.
- It offers a comprehensive situational awareness® that ensures full observability of Integration MESH.
- The platform facilitates secure management of configuration, administration, and deployment processes while also automating these tasks.
- Users can track and trace transactions, messages, and data flows effectively.
- It enables the collection of data, performance monitoring, and benchmarking.
meshIQ empowers users with detailed controls for managing configurations within the MESH, which minimizes downtime and accelerates recovery following outages. The software supports searching, browsing, tracking, and tracing messages to identify bottlenecks, enhance root cause analysis, and increase efficiency. By unlocking the integration black box, it provides visibility across the MESH infrastructure for thorough visualization, analysis, reporting, and predictive capabilities. Additionally, it equips users with the ability to initiate automated actions based on set criteria or intelligent AI/ML-driven decisions, further enhancing operational efficiency and responsiveness. This holistic approach not only improves system reliability but also fosters a proactive stance in managing integration challenges.
What is ContainIQ?
Our comprehensive solution enables you to monitor the health of your cluster effectively and address issues more rapidly through user-friendly dashboards that integrate seamlessly. With clear and cost-effective pricing, getting started is simple and straightforward. ContainIQ deploys three agents within your cluster: a single replica deployment that collects metrics and events from the Kubernetes API, alongside two daemon sets—one that focuses on capturing latency data from each pod on the node and another that handles logging for all pods and containers. You can analyze latency metrics by microservice and path, including p95, p99, average response times, and requests per second (RPS). The system is operational right away without requiring additional application packages or middleware. You have the option to set alerts for critical changes and utilize a search feature to filter data by date ranges while tracking trends over time. All incoming and outgoing requests, along with their associated metadata, can be examined. You can also visualize P99, P95, average latency, and error rates over time for specific URL paths, allowing for effective log correlation tied to specific traces, which is crucial for troubleshooting when challenges arise. This all-encompassing strategy guarantees that you have every tool necessary to ensure peak performance and rapidly identify any issues that may surface, allowing your operations to run smoothly and efficiently.
Integrations Supported
ActiveMQ
Apache Kafka
Dynatrace
IBM App Connect
IBM DataPower Gateway
IBM Event Streams
IBM MQ
IBM Tivoli Monitoring
Kubernetes
RabbitMQ
Integrations Supported
ActiveMQ
Apache Kafka
Dynatrace
IBM App Connect
IBM DataPower Gateway
IBM Event Streams
IBM MQ
IBM Tivoli Monitoring
Kubernetes
RabbitMQ
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$20 per month
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
meshIQ
Date Founded
1994
Company Location
United States
Company Website
meshiq.com
Company Facts
Organization Name
ContainIQ
Company Location
United States
Company Website
www.containiq.com
Categories and 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