Iotellect - Application and Service Monitoring

Solution Group

Industry

IT Infrastructure Management

Information Technology

PoC Duration

Iotellect Match

3-15 days

AI powered Low Code IoT/IIoT Platform

Improve IT service performance, reduce downtime, and enhance user experience by providing real-time insights and proactive alerts. Increase operational efficiency, support faster incident resolution, and enable data-driven decisions through performance metrics. Use the powerful IT infrastructure management platform for resource optimization, capacity planning, and security monitoring, while supporting best DevOps practices and cloud scalability.

Iotellect is a low code IT/OT and IoT solution development platform. It helps you to monetize your network or IT infrastructure operations knowledge by dramatically lowering labor costs and cutting launch time for your product, service, or solution. It allows business-oriented IT professionals to join the development process by converting their information technology industry knowledge directly into product features and specific value delivered to your internal or market customers.

Build Your IoT Application

Connect Your

Applications and Services

PLCs

Operating Systems

Applications

Traffic probes

Databases

Virtual machines and containers

OS and app monitoring agents

Log files and syslogs

Third-party APM tools

REST and other APIs

IaaS cloud platforms

Middleware platforms

Data pipelines

Network devices

Storage devices

Connect Devices

Connectivity & Management

Support for protocols like SNMP, ICMP (Ping), NetFlow, and sFlow to gather data on network health, bandwidth usage, and latency
Installation of software agents on devices to collect data and send it to the monitoring server
Multi-Platform support including on-premises infrastructure, cloud environments, hybrid models, and virtualized systems
Triggering of configurable alerts when predefined thresholds are breached (e.g., high CPU usage or application failure)
Provision for automated remediation actions (e.g., restarting a server or increasing cloud resources) in response to predefined conditions, reducing manual intervention
Long-term storage of performance data to analyze trends, make capacity planning decisions, and improve forecasting

Integration

Low code integration with IT Service Management (ITSM) tools
Low code integration with network monitoring tools
Low code integration with Database Management Systems (DBMS)
Low code integration with Application Performance Management (APM) tools
Low code integration with DevOps and CI/CD tools
Low code integration with log management and SIEM tools
Low code integration with API management platforms

Analytics

Tracking of metrics like latency, throughput, and error rates as they happen, allowing for immediate detection and response to issues
Identification of long-term patterns, such as usage peaks, performance degradation, or resource bottlenecks
Usage of machine learning (ML) and AI algorithms to automatically detect unusual behavior or deviations from normal performance baselines (e.g., sudden spikes in resource usage or unusual traffic patterns)
Correlation of multiple data points from various systems to identify the root cause of performance issues or failures
Usage of predictive modeling and forecasting based on historical data to anticipate future performance issues or capacity needs
Provision for capacity planning tools that analyze resource usage over time, enabling organizations to optimize infrastructure allocation and scale resources as needed
Detection of security breaches, configuration errors, or unusual system behavior, providing insights for system improvement and compliance auditing
Tracking of SLA compliance by monitoring system uptime, response times, and error rates against agreed service levels

UI/UX

Unified interface for displaya of metrics from multiple applications, devices, and services, allowing teams to view real-time performance data and historical trends in one place
Designing and configuration of dashboards, as per specific metrics, KPIs, and visualizations that are most relevant to user role (e.g., CPU usage, memory, network traffic, application performance)
Multiple layering of data for correlation analysis, helping users see how different metrics (e.g., response time and CPU load) relate to each other
Provision for visual event timelines that map out incidents and changes across time, helping users identify when issues occurred and what might have triggered them
Support for multi-screen setups helps IT teams create command center views with dashboards displayed across multiple monitors for better situational awareness
Provision of health indicators (e.g., green for healthy, red for critical issues) for at-a-glance overview of system status, helping users quickly assess whether action is needed
Visualization of relationships between VMs, storage, and network components to trace the source of issues and pinpoint affected services

Key Features for Your
Application and Service Monitoring Solution

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Customers and Partners

System Integrators
Small or Medium Businesses
Independent Software Vendors
Enterprises/Corporations
Telecoms/MSPs
Original Equipment Manufacturers

Solution Users and Developers

Dedicated low code developers
NOC engineers
DevSecOps specialists
Business service developers
Application and service administrators
IT and network administrators
IT management solution architects

Customer success team

Community

Online training

Application and Service Monitoring