Type
AI-Based IT Infrastructure Monitoring & Automation
Objective
A multinational business organization embarked on enhancing the stability and performance of its IT infrastructure. With a massive number of servers, cloud infrastructure, and on-premises systems, the organization was experiencing frequent performance bottlenecks, unplanned outages, and security breaches. They sought to implement a real-time infrastructure monitoring solution that would detect problems ahead of time, minimize downtime, and maximize resource utilization.
Technologies
AngularJS, iOS, Android, AI, Blockchain, AI-Powered Predictive Analytics
Country
Denmark
Project Attributes
Engagement Model
Dedicated Team Engagement
Duration
12 months
App Users
IT Administrators, DevOps Teams, System Engineers
Challenges
- Frequent Downtimes: The business experienced frequent system crashes that caused disruptions in business operations and affected service delivery.
- Lack of Real-Time Monitoring: The monitoring tools available in the infrastructure did not have the ability to send real-time notifications and detailed information about system health, hindering the implementation of preventative measures.
- Complex IT Environment: The infrastructure of the client had multiple cloud providers, on-prem servers, and containerized applications, leading to monitoring inefficiencies.
- Costly Maintenance: Manual infrastructure management was time-consuming, costly, and error-prone, leading to inefficiencies and wastage of resources.
- Security Risks: Without active security monitoring, the business was exposed to cyber attacks and possible data breaches.
Solutions
- Frequent Downtimes: The business experienced frequent system crashes that caused disruptions in business operations and affected service delivery.
- Lack of Real-Time Monitoring: The monitoring tools available in the infrastructure did not have the ability to send real-time notifications and detailed information about system health, hindering the implementation of preventative measures.
- Complex IT Environment: The infrastructure of the client had multiple cloud providers, on-prem servers, and containerized applications, leading to monitoring inefficiencies.
- Costly Maintenance: Manual infrastructure management was time-consuming, costly, and error-prone, leading to inefficiencies and wastage of resources.
- Security Risks: Without active security monitoring, the business was exposed to cyber attacks and possible data breaches.
Results:
- 99.9% Uptime Achieved: AI-driven predictive analytics reduced system downtime, providing near-perfect uptime and reliability.
- 50% Faster Issue Resolution: Automated incident detection and response reduced troubleshooting time, enabling IT teams to focus on strategic initiatives.
- 30% Infrastructure Cost Savings: Intelligent resource management achieved significant cost savings on cloud and on-premise infrastructure expenses.
- Enhanced Security Posture: Real-time security monitoring and active threat detection improved cybersecurity controls, minimizing potential threats.
Conclusion:
Adorebits’ AI solution not only fulfilled the client’s objectives but also positioned them as a leader in HRtech innovation, greatly enhancing their recruitment process and overall business performance.