The customer was running critical workloads on AWS but faced rising costs due to continuous server operation and oversized database instances. HAZERCLOUD implemented targeted cost optimization through workload scheduling and database right-sizing — reducing expenses with zero service disruption.
The customer's cloud environment had rising operational costs and inefficiencies, with servers running around the clock and oversized database instances consuming excess resources.
HAZERCLOUD implemented targeted cost optimization measures — automated workload scheduling for Windows EC2 instances and database right-sizing via blue-green deployment — ensuring savings with zero disruption.
Automated start/stop schedules were introduced for Windows servers using AWS Lambda and Amazon EventBridge, ensuring servers ran only during business hours, with full shutdowns on non-working days.
The existing RDS instance was migrated via blue-green deployment to a smaller db.t4g.medium instance with reduced storage (20 GB). This ensured cost savings while maintaining performance and data integrity.
IAM roles were configured for least-privilege access, snapshots were taken before every change, and migration testing validated the environment — ensuring zero data loss and business continuity throughout.
Post-optimization monitoring confirmed stable performance across all workloads. CloudWatch metrics and alarms were configured to track resource utilization and catch anomalies early.
AWS Lambda and EventBridge automate EC2 scheduling, while RDS right-sizing via blue-green deployment reduces database costs — all backed by CloudWatch monitoring and IAM governance.
Targeted cost optimization reduced unnecessary spend, improved operational efficiency, and ensured the infrastructure was aligned with actual business usage — all with zero service disruption.
Windows servers now run only during business hours with full shutdowns on non-working days, eliminating unnecessary compute charges for idle periods.
Database optimized through right-sizing to db.t4g.medium with reduced storage (20 GB), delivering significant savings while maintaining full performance.
Automated scheduling and right-sizing reduced manual workload and operational overhead, freeing the team to focus on core business operations.
Migration was seamless — blue-green RDS deployment and Lambda-based scheduling ensured zero downtime for the customer's applications throughout the process.
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