Optimizing Cloud Spend and Event Management for a Leading Australian Media Provider
Driving operational efficiency through intelligent alert handling and cloud cost governance
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Schedule a DemoUncovering the 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 Challenge
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.
- Lack of a centralized command center resulted in disconnected alert sources and manual response workflows.
- Operations teams were burdened by high alert volumes (~5,000/month), leading to missed critical signals and long detection/resolution times.
- No visibility into redundant or noisy alerts; duplicate incidents
- Alert fatigue were common
- AWS cloud operations lacked forecasting tools, leading to budget overruns and reactive cost management.
- There was no centralized dashboard to view or control actual versus projected cloud spend across multiple AWS accounts.
The Solution
ignio™ AIOps was deployed for real-time alert management, automated incident creation, and AWS cost visibility. Enabled cost optimization and governance across AWS accounts.
- Deployed ignio™ AIOps to integrate with enterprise monitoring and ITSM systems, enabling real-time alert ingestion, validation, and automated incident creation.
- Applied ignio’s built-in intelligence to distinguish noise from true alerts, suppress duplicates, and correlate events for actionable resolution.
- Enabled AWS cloud cost visibility with consolidated dashboards and tag-based access controls.
- Provided usage-based forecasting, variance alerts, and monthly spend optimization recommendations using ignio™ Analytics.
- Ensured consistent governance across AWS accounts by automating visibility and budget tracking mechanisms.
The Outcome: Key outcomes across reliability, cost optimization, and governance
By leveraging ignio™ 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.
- 60% alert noise suppression, enabling teams to focus only on critical issues.
- Mean Time to Detect reduced by 90%, accelerating incident resolution and improving reliability.
- 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.
- Monthly cloud budget deviations kept within 2% of forecasts using AI-powered Predictive Analytics With Ignio AI.Workload Management.
- Enhanced compliance and security posture through tag-based governance across AWS accounts.
- Delivered tangible efficiencies in both support resourcing and infrastructure cost control.
