At Cloudy Scheduler, we run our fully-managed scheduling service on Azure infrastructure distributed across multiple data centres. To ensure we deliver a reliable, cost-efficient service to our customers, we use Spotto to proactively monitor our Azure environment for optimization opportunities, misconfigurations, and potential issues.
Running a fault-tolerant cron job scheduling system requires careful attention to infrastructure management. Our service operates across multiple Azure regions and supports customers worldwide with different timezone requirements. This complexity creates several challenges:
We chose Spotto because their AI-powered platform provides exactly what we need: intelligent monitoring that detects anomalies, recommends proven fixes, and helps us maintain a well-architected Azure environment.
Spotto continuously monitors our infrastructure across all the Azure Well-Architected Framework pillars:
Identifies underutilized resources and rightsizing opportunities to keep operational costs efficient.
Detects misconfigurations and compliance gaps to keep our platform secure.
AI-driven performance monitoring helps us identify bottlenecks and optimize response times for job execution.
Proactive identification of reliability risks ensures our fault-tolerant architecture maintains high availability for scheduled job execution.
Automated monitoring and intelligent alerts reduce manual intervention, allowing us to focus on improving the Cloudy Scheduler platform.
By identifying and eliminating wasteful resources, we reduce our environmental footprint while maintaining service quality.
Spotto stands out with their tagline "Cloud Ops, Reimagined" - and they deliver on that promise. Here's what makes Spotto valuable for our operations:
If you're running Azure infrastructure and want the same level of proactive monitoring and optimization that we use at Cloudy Scheduler, we recommend checking out Spotto:
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