ACL Digital Transformed IT Operations with Advanced AIOps Solution
Overview
A global infrastructure technology provider specializing in wired and wireless communication and cutting-edge software applications faced the challenge of managing a vast and complex IT ecosystem. This ecosystem included networks, routers, data sources, applications, containers, and end-user modules. ACL Digital was pivotal in designing an AIOps platform that transformed the client’s IT operations with seamless monitoring, actionable analytics, and predictive insights.
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Challenges
Comprehensive Monitoring
The need to intelligently observe and manage each component of a sprawling ecosystem
Predictive Insights
Requirements for analytics and forecasting to optimize support operations
Service Analytics
A business-driven approach to achieve complete observability and actionable insights across all components
Solutions
With ACL Digital’s innovative AIOps solution, the client’s IT ecosystem has enhanced visibility, operational agility, and proactive management capabilities, ensuring long-term business efficiency and resilience
- Developed a robust AIOps platform to address these challenges, incorporating advanced features to manage the client’s diverse IT environment
- Created policies and assigned them to individual components, raising alarms on policy deviations.
- Built an integrated automated ticketing system within the AIOps framework.
- Leveraged DX Operational Intelligence is an advanced AIOps solution that utilizes machine learning and diverse data sources to deliver comprehensive insights.
- Designed the platform to accommodate multiple data sources and handle structured and unstructured data of any volume, variety, and velocity.
Benefits
Actionable Insights
Unified visualizations, algorithmic noise reduction, and predictive capacity analytics supported better operational decision-making
Significant Downtime Reduction
Predictive analytics reduced unplanned system downtimes by 87%
Maintenance Optimization
Delivered advanced insights for component maintenance requirements over a 15–30-day window
Custom Policies
Enabled component-specific policy settings and alarms tailored to operational needs
Improved Prioritization
Enhanced priority management through intelligent routing and task categorization
Efficient Traffic Handling
Facilitated planned traffic distribution during maintenance periods, minimizing disruptions
Proactive Detection
Integrated anomaly detection mechanisms provided early warnings, preventing system failures
