Our AI-driven platform continuously analyzes your AWS usage and automatically optimizes resources to reduce costs without impacting performance.
We identify underutilized or oversized instances and provide actionable recommendations to match your infrastructure needs, ensuring you only pay for what you use.
Our system helps you maximize AWS savings by analyzing your usage patterns and suggesting the best Reserved Instance and Savings Plan strategies.
Get real-time insights into your AWS spending with detailed reports and alerts to prevent unexpected cost spikes.
We detect and remove unused resources, such as idle EC2 instances, unattached EBS volumes, and obsolete snapshots, to eliminate unnecessary expenses.
Set custom budget thresholds and receive proactive alerts when your AWS spending trends exceed expectations, helping you stay in control of your cloud costs.
Challenge: Bloated Docker images were increasing storage and deployment times, driving up ECR and data transfer costs.
Solution: Performed multi-stage builds, eliminated unused layers, and automated image slimming using CI pipelines.
Results: Reduced image sizes by 62%, saving on ECR costs and speeding up ECS deployments by 40%.
Challenge: Kubernetes clusters were overprovisioned, leading to high EC2 costs and underutilized nodes.
Solution: Implemented cluster autoscaler with spot instance integration and right-sized resource requests via metrics analysis.
Results: Saved $9,600/month, reduced idle EC2 usage by 78%, and stabilized cluster scaling.
Challenge: Monolithic workloads couldn’t scale efficiently with unpredictable demand.
Solution: Migrated to Lambda-based architecture with SQS triggers and optimized concurrency settings.
Results: 29% AWS savings and improved system responsiveness during peak loads.