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FinTech
Google Kubernetes Engine (GKE), Cloud Scheduler, Pub/Sub, Cloud Functions Gen 2, IAM, Cloud Logging, Cloud Monitoring
Automated GKE node pool scaling solution that optimizes infrastructure costs by scaling workloads down during non-operational hours and restoring capacity automatically before business hours.
The client is a leading Indian financial services group offering investment banking, capital markets, wealth and asset management, private credit, and affordable housing finance solutions, with a nationwide presence and over five decades of industry experience.
Reduction in GKE Node Compute Costs
Automation of Node Pool Scaling Operations
Unnecessary Node Runtime Eliminated per Node
The client’s GKE environment incurred unnecessary infrastructure costs as selected node pools remained active beyond application operating hours. Manual scaling was inefficient, and varying node pool configurations required a reliable, automated approach to optimize costs without impacting critical workloads.
• Implemented automated GKE node pool scale-down and scale-up.
• Used Cloud Scheduler and Pub/Sub for scheduled, event-driven scaling.
• Deployed Cloud Functions Gen 2 to manage scaling operations.
• Restored node pools automatically before business hours.
• Enabled secure access, monitoring, logging, and alerting through IAM and Google Cloud observability services.
Achieved a 30% reduction in compute costs, eliminated unnecessary node runtime during non-operational hours, and fully automated node pool scaling, reducing manual operational effort while improving infrastructure efficiency.
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