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Match instance capacity to actual workload requirements to stop paying for unused headroom.
Automate stop and start sequences for non-production environments during off-hours.
Identify and delete unattached storage and orphaned resources that continue to bill the account.
Implement lifecycle policies to move data to appropriate storage tiers based on access frequency.
Reduce instance counts by up to 65% using Kubernetes and EKS. Use automated scaling to manage resource usage within your clusters.
Migrate from expensive legacy licenses to cloud-native database options to reduce recurring costs.
Move event-driven workloads to serverless compute to eliminate the cost of idle servers.
Refactor architecture to reduce technical debt and associated infrastructure spend.
Use spare capacity for fault-tolerant workloads to reduce compute costs by up to 90%.
Audit network architecture to minimize costs related to cross-region and egress traffic.
Manage commitments for steady-state usage to secure long-term discounts.
Implement mandatory tagging so every resource has a clear owner and a business purpose.
Fix the Bottlenecks
Current infrastructure configurations are often the reason for the overspend. Discuss the technical challenges with an engineer who can help fix them.
