Iotellect - Solution

Solution Group

Industry

IT Infrastructure Management

Information Technology

PoC Duration

Iotellect Match

2-5 days

AI powered Low Code IoT/IIoT Platform

Discover and provide real-time insights into database health and performance, helping identify slow queries, bottlenecks, and resource issues. Alert administrators to problems before they affect users, reducing downtime and improving reliability. Enable proactive tuning and optimization, ensuring efficient use of resources and better capacity planning. Automate routine tasks to reduce manual workload for DBAs and improves overall operational efficiency.

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

Database Monitoring Devices

Operating Systems

Server chassis

Load balancers

Firewalls

Database instances

Virtualization and containerization systems

Database monitoring agents

Routers and switches

Storage servers and systems

Hardware security modules

Connect Devices

Direct connection with the database using native protocols like SQLNet for Oracle, TDS for SQL Server, MySQL/MariaDB protocol, and others, allowing deeper integration and more accurate monitoring
Built-in checks for regulatory compliance (such as GDPR, HIPAA, PCI-DSS), helping ensure databases meet required standards
Usage of standard JDBC and ODBC drivers to connect to various databases, enabling support for a wide range of database systems, including lesser-known or proprietary ones
Connection with databases hosted on-premises, in the cloud (such as AWS RDS, Azure SQL Database), and in hybrid environments, providing a unified monitoring solution across different infrastructures
Continuous checking of database components, including storage health, replication status, index fragmentation, and query execution times, to identify potential issues before they affect users
Management of database clusters and replication setups to ensure high availability and data redundancy, tracking replication delays, cluster health, and node status

Connectivity and Management

Low code integration with IT Service Management (ITSM) tools
Low code integration with Security Information and Event Management (SIEM) systems
Low code integration with Identity and Access Management (IAM) systems
Low code integration with cloud management platforms
Low code integration with Configuration Management Databases (CMDB)
Low code integration with Application Performance Management (APM) tools
Low code integration with DevOps and CI/CD tools
Low code integration with Business Intelligence (BI) and analytics platforms
Low code integration with network performance monitoring tools

Integration

Breakdown of query execution times to pinpoint slow queries, showing time spent on parsing, execution, and fetching, helping identify the exact step causing delays
Listing of resource-intensive queries based on CPU usage, memory, disk I/O, or execution frequency, allowing DBAs to focus on optimizing high-impact queries
Identification of patterns when resources like memory buffers or I/O bandwidth are nearing saturation, providing early warnings to avoid performance degradation
Detection of index fragmentation levels and suggests maintenance operations like rebuilding or reorganizing indexes to enhance performance
Monitoring of lock wait times and frequency to identify tables or rows causing contention, helping DBAs reduce blocking and improve concurrency
Analysis of deadlock occurrences, providing detailed information on the involved queries, objects, and transactions to assist in resolving conflicts and improving transaction management
Monitoring of replication lag in real-time and over historical periods, identifying when replication delays occur and their potential causes
Tracking of database user activities, such as SQL execution, data modification, and access patterns, to identify unusual behavior or potential security breaches
Correlation of different alerts to identify root causes of issues affecting multiple metrics, helping reduce the time to diagnose and fix problems

Analytics

Visualization of execution plans over time to identify inefficient operations like full table scans or improper index usage, suggesting optimizations
Identification of resource bottlenecks or hotspots in the database infrastructure, such as high CPU usage or disk I/O contention through heat maps
Availability of visual indicators (like color codes or icons) that distinguish between different alert levels (info, warning, critical), enabling quick prioritization
Interactive graphing of historical data, such as transaction rates or query latencies over weeks, months, or years, allowing users to analyze trends and make informed decisions
Display of current active sessions, their resource usage, and query details, allowing administrators to pinpoint which sessions are consuming excessive resources
Visual mapping of database clusters, replication setups, and their connections, helping to quickly understand the architecture and relationships between different database nodes

UI/UX

Key Features
for Your Database Monitoring Solution

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
System and service administrators
Database administrators
DevOps professionals
IT infrastructure experts

Customer success team

Community

Online training

Database Monitoring