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Event and Log Management

Solution Group

Industry

IT Infrastructure Management
Information Technology

PoC Duration

Iotellect Match

3-8 days
AI powered Low Code IoT/IIoT Platform

Enhance IT infrastructure manageability and security by identifying potential performance caveats and threats early. Enable rapid responses, and improve operational efficiency through centralized event management, automated alerts, and faster issue resolution. Compliance with regulatory requirements becomes easier due to detailed audit trails, while real-time monitoring and predictive analytics help minimize downtime.

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

Event and Log Data Sources

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Applications and services
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Routers and switches
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REST and other APIs
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Log files
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Syslogs
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SNMP trap sources
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Monitoring agents
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Database servers
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Servers and workstations
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Network security equipment
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IDS/IPS systems
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Virtualization platforms and orchestrators
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Virtual machines and hypervisors
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Cloud platforms and services
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IoT/IIoT devices and gateways
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Industrial control systems
Connect Devices

Connectivity & Management

  • Collection of logs without installing agents, often by leveraging existing protocols like syslog, SNMP, or API integrations, making it easier to monitor certain devices like routers, switches, and cloud services
  • Integration with diverse operating systems (Windows, Linux, macOS), network devices (routers, switches, firewalls), databases, cloud services, and applications, enabling a centralized collection of logs across environments
  • Removal of redundant or duplicate log entries, helping to reduce noise and focus on meaningful data
  • Log aggregation from all devices, systems, and applications in a single repository, making it easier to search, analyze, and manage them from a unified interface
  • Provision for powerful query languages (e.g., SQL-like) to filter, search, and analyze logs based on complex criteria, helping administrators quickly find relevant data
  • Triggering of predefined actions or workflows in response to certain events, such as blocking IPs during an attack or rebooting a failing service
  • Usage of distributed architectures to manage log collection and storage across multiple locations, which is essential for large or global organizations

Integration

  • 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 Application Performance Management (APM) tools
  • Low code integration with DevOps and CI/CD tools
  • Low code integration with Intrusion Detection and Prevention Systems (IDS/IPS)
  • Low code integration with Endpoint Detection and Response (EDR) tools
  • Low code integration with Active Directory (AD) and LDAP
  • Low code integration with Security Orchestration, Automation, and Response (SOAR) platforms

Analytics

  • Correlation of events across different sources (servers, network devices, applications) in real time, identifying patterns that may indicate security incidents, system failures, or performance bottlenecks
  • Usage of machine learning or statistical models to establish normal behavior baselines, then detects deviations that might indicate security threats, insider attacks, or performance issues
  • Identification of abnormal events or log entries that deviate from the norm, such as spikes in traffic, failed login attempts, or unusual user activity
  • Analysis of historical log data to detect trends over time, such as gradual increases in network traffic, performance degradation, or patterns of system errors
  • Root cause analysis of past incidents, system failures, or security breaches, providing insight for prevention of future issues
  • Anticipation of future system performance issues, security threats, or capacity needs by using predictive models
  • Analysis of trends to forecast resource usage, helping IT teams plan for future infrastructure needs (storage, network bandwidth, compute power)
  • Recognition of patterns in log data through machine learning algorithms that human analysts might miss, detecting early signs of performance issues or security risks
  • Generation of reports tailored to specific regulatory frameworks (e.g., GDPR, HIPAA, PCI-DSS), ensuring that the organization meets its compliance requirements

UI/UX

  • Up-to-date visualizations of system health, security events, and operational metrics, helping administrators spot issues as they arise
  • Visual representations of log and event data allow users to monitor system health, security threats, or key performance indicators (KPIs) in real-time
  • Visual analytics like line graphs, bar charts, and pie charts help track metrics such as system load, traffic patterns, and incident counts over time
  • Provision for graphs, charts, heatmaps, and visual summaries that give users quick insights into trends, system load, and security status
  • Availability of query builder interface, where users can construct complex searches using drop-downs and logical operators, without needing in-depth query language knowledge
  • Dynamic updating of event streams with new logs or alerts appearing automatically, removing the need to manually refresh or poll the system for updates

Key Features for Your
Event and Log Management System

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
  • IT infrastructure experts
  • DevSecOps specialists
  • IT management solution architects
Customer success team
Community
Online training

Assistance

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Proved Worldwide
Across Industries
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15 000 000 000 000+

data samples collected and processed

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25 000 000+

devices under monitoring and supervision

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40 000+

types of devices and data sources connected via more than 50 supported communication protocols

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300+

SaaS and on-premise partner products created

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80+

countries leverage Iotellect technology

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