Optimizing Cloud Spend and Event Management for a Leading Australian Media Provider
Driving operational efficiency through intelligent alert handling and cloud cost governance
ABOUT CUSTOMER​
A leading Australian subscription television and streaming company serving over 4 million subscribers nationwide. The customer offers a wide range of entertainment services across cable, satellite, and IPTV channels, along with specialized content packages tailored to businesses, hospitality, healthcare, and education sectors.
KEY HIGHLIGHTS
- Achieved notable success in preventing potential revenue losses of 6 to 7 figures across Order Management and eCommerce processes
- 1000+ Stores benefited with on-time promotions validation
- 12000+ hrs Manual efforts saved annually
- 90% Reduction in MTTD and MTTR
REACH US
Business context
Operating in a 24/7 broadcast and streaming environment, the customer manages a complex IT landscape across hybrid infrastructure and AWS Cloud. With increasing alert volumes and decentralized monitoring tools, their operations team faced significant inefficiencies and risks. At the same time, rising cloud costs without adequate forecasting tools threatened budget control and financial predictability.
To address these dual challenges, the customer partnered with Digitate to deploy ignio™, a SaaS-based platform that’s built on an agentic architecture .
The Problem
The lack of a centralized command center led to disconnected alerts, overwhelmed operations teams, and missed critical signals. Coupled with the absence of forecasting tools and a unified cloud spend dashboard, this caused operational inefficiencies and budget overruns.Â
- Lack of a centralized command center resulted in disconnected alert sources and manual response workflows.Â
- Operations teams were burdened by high alert volumes (~5,000/month), leading to missed critical signals and long detection/resolution times.Â
- No visibility into redundant or noisy alerts; duplicate incidents Â
- Alert fatigue were commonÂ
- AWS cloud operations lacked forecasting tools, leading to budget overruns and reactive cost management.Â
- There was no centralized dashboard to view or control actual versus projected cloud spend across multiple AWS accounts.Â
The Opportunity
The initiative focused on enabling intelligent alert correlation and suppression to minimize manual effort and reduce false positives, while implementing real-time event handling with automatic incident creation for actionable alerts. It aimed to shorten the mean time to detect and resolve incidents, thereby freeing operations staff to focus on higher-value tasks. Additionally, predictive analytics for AWS spend were introduced to provide budget accuracy and transparency, while aligning cloud usage with business needs by identifying waste and strengthening resource tagging and governance.
The Solution
ignioâ„¢ AIOps was deployed for real-time alert management, automated incident creation, and AWS cost visibility. Enabled cost optimization and governance across AWS accounts.Â
- Deployed ignioâ„¢ AIOps to integrate with enterprise monitoring and ITSM systems, enabling real-time alert ingestion, validation, and automated incident creation.Â
- Applied ignio’s built-in intelligence to distinguish noise from true alerts, suppress duplicates, and correlate events for actionable resolution.Â
- Enabled AWS cloud cost visibility with consolidated dashboards and tag-based access controls.Â
- Provided usage-based forecasting, variance alerts, and monthly spend optimization recommendations using ignioâ„¢ Analytics.Â
- Ensured consistent governance across AWS accounts by automating visibility and budget tracking mechanisms.Â
The Outcome: Key outcomes across reliability, cost optimization, and governance
By leveraging ignioâ„¢ AIOps and AI-powered predictive analytics with Ignio AI.Workload Management, significant improvements across incident management, cost governance, and operational efficiency in a complex IT environment were delivered.Â
- 60% alert noise suppression, enabling teams to focus only on critical issues.Â
- Mean Time to Detect reduced by 90%, accelerating incident resolution and improving reliability.Â
- Automated incident creation ensured continuous visibility across the IT landscape. Centralized dashboard for actual and projected AWS spend helped align financial governance with IT operations.Â
- Monthly cloud budget deviations kept within 2% of forecasts using AI-powered Predictive Analytics With Ignio AI.Workload Management.Â
- Enhanced compliance and security posture through tag-based governance across AWS accounts.Â
- Delivered tangible efficiencies in both support resourcing and infrastructure cost control.Â
