End-to-end AWS cost optimization and FinOps across India — Savings Plans, Reserved Instances, Spot strategy, right-sizing, storage tiering, Graviton migration, tagging, chargeback/showback, and Well-Architected Cost Optimization. Authorized AWS Partner. Typical savings: 30–50%.
Cost Explorer · CUR · Budgets · Anomaly Detection · QuickSight
Compute SP · EC2 Instance SP · Standard RI · Convertible RI · Up to 72%
Compute Optimizer · ML-powered · EC2 · EBS · Lambda · 40% better price-perf
Tagging · Chargeback · Showback · SCPs · Budget actions · Unit economics
AWS Cost Optimization is the disciplined practice of reducing cloud spend without sacrificing performance, reliability, or security. AWS provides a comprehensive suite of native cost management tools — Cost Explorer for visualization and forecasting, Budgets for threshold alerts, Cost and Usage Reports (CUR) for granular billing analytics, Compute Optimizer for ML-powered right-sizing, and Trusted Advisor for idle resource identification — combined with commercial levers like Savings Plans, Reserved Instances, and Spot Instances that can reduce compute costs by up to 72–90%.
PrecisionTech is an Authorized AWS Partner delivering end-to-end cost optimization and FinOps services in India — from initial cost assessment through Savings Plans procurement, right-sizing execution, Graviton migration, tagging strategy implementation, and ongoing FinOps managed services. With 30+ years of IT infrastructure experience and 186+ cost optimization engagements, we typically deliver 30–50% AWS spend reduction within 90 days.
Every lever PrecisionTech evaluates during your cost optimization assessment
| Lever | What It Does | Typical Savings | AWS Tools | Best For |
|---|---|---|---|---|
| Savings Plans | Commit $/hr for 1–3 years | Up to 72% | Cost Explorer SP recs | Stable, predictable workloads |
| Reserved Instances | Commit to specific instance config | Up to 72% | RI recommendations | RDS, ElastiCache, Redshift, capacity reservation |
| Spot Instances | Use spare EC2 capacity | Up to 90% | EC2 Fleet, Spot Fleet | Batch, CI/CD, stateless, containers |
| Right-Sizing | Downsize over-provisioned instances | 15–30% | Compute Optimizer | EC2, EBS, Lambda, ECS |
| Graviton Migration | Move to ARM-based instances | 20–40% | Compute Optimizer | Linux workloads, containers, RDS |
| S3 Tiering | Move data to cheaper storage classes | 60–92% | Intelligent-Tiering, Lifecycle | Logs, backups, archives, media |
| Idle Resource Cleanup | Terminate unused resources | 5–15% | Trusted Advisor | Unused EC2, RDS, EBS, EIPs, ELBs |
| EBS Optimization | gp2→gp3 migration, cleanup | 20% on EBS | Compute Optimizer | All EBS volumes |
AWS Cost Explorer dashboard configuration with custom groupings and filters. Cost and Usage Report (CUR) delivery to S3 with Athena SQL access and QuickSight FinOps dashboards. Cost Anomaly Detection setup with immediate alert routing. Budget creation at account, service, and tag levels with automated threshold notifications.
Get Quote →Analysis of 3–6 months of CUR data to calculate optimal Savings Plan commitments. Compute Savings Plans for flexible coverage, EC2 Instance Savings Plans for predictable workloads, and SageMaker Savings Plans for ML. Quarterly utilization reviews with exchange/renewal recommendations. Up to 72% savings over On-Demand.
Get Quote →RI procurement for RDS, ElastiCache, Redshift, OpenSearch, and capacity-critical EC2 workloads. Standard RIs for maximum savings, Convertible RIs for flexibility. RI utilization monitoring, modification, and marketplace selling of unused reservations. Cross-account sharing via AWS Organizations.
Get Quote →Spot Fleet and EC2 Fleet design with capacity-optimized allocation across multiple instance types and AZs. Mixed instances Auto Scaling policies with On-Demand baseline and Spot burst. EKS/ECS Spot capacity providers with Karpenter. Interruption handling with checkpointing and graceful draining. Up to 90% savings for fault-tolerant workloads.
Get Quote →ML-powered right-sizing using AWS Compute Optimizer — analyzing CPU, memory, network, and disk I/O from CloudWatch across EC2, EBS, Lambda, and ECS Fargate. Prioritized recommendations by savings impact. Implementation during maintenance windows with performance validation. Typical savings: 15–30% on compute spend.
Get Quote →S3 Intelligent-Tiering activation for unpredictable access patterns. Lifecycle policy design — Standard → IA → Glacier → Deep Archive based on data type. EBS gp2→gp3 migration (20% cheaper, zero downtime). Unused EBS volume and old snapshot cleanup. S3 incomplete multipart upload removal. Storage Lens analytics for bucket-level insights.
Get Quote →Migrate EC2 workloads from x86 (m5/c5/r5) to Graviton ARM instances (m7g/c7g/r7g/t4g) for 40% better price-performance. Application compatibility assessment, multi-arch container image builds, RDS and ElastiCache Graviton migration, gradual traffic shift with ALB weighted targets, and performance benchmarking.
Get Quote →AWS Budgets configuration — cost, usage, RI utilization, and Savings Plans coverage budgets with multi-tier alerts (80%, 90%, 100%). Budget Actions that automatically apply restrictive IAM policies when limits are breached. Integration with SNS, email, and Slack/Teams for real-time notifications across engineering and finance teams.
Get Quote →End-to-end FinOps implementation — mandatory tagging strategy with SCP enforcement, CUR + Athena + QuickSight analytics pipeline, chargeback/showback reports by team/project/cost-centre, monthly FinOps review cadence with engineering and finance, cost ownership culture, and unit economics tracking.
Get Quote →AWS Cost Optimization is the systematic process of reducing cloud expenditure while maintaining or improving workload performance, security, and reliability. It combines native AWS cost management tools — Cost Explorer, Budgets, Cost and Usage Reports (CUR), Compute Optimizer, and Trusted Advisor — with commercial instruments like Savings Plans (up to 72% savings), Reserved Instances, and Spot Instances (up to 90% savings) to achieve maximum value from every rupee spent on AWS.
FinOps (Cloud Financial Operations) extends cost optimization into a cultural and operational practice. It brings engineering, finance, and business teams together around shared accountability for cloud spending. The FinOps framework operates in three phases: Inform (visibility through dashboards and cost allocation), Optimize (active waste reduction and commitment purchases), and Operate (continuous governance with budgets, anomaly detection, and regular reviews).
As an Authorized AWS Partner in India, PrecisionTech has delivered 186+ cost optimization engagements for Indian businesses — from startups spending ₹2 lakh/month to enterprises with ₹1 crore+ monthly AWS bills. Our typical engagement achieves 30–50% spend reduction within 90 days through a combination of waste elimination, right-sizing, commitment purchases, storage tiering, Graviton migration, and FinOps practice implementation.
Every AWS cost tool PrecisionTech configures and manages for Indian businesses
Free Cost Optimization Assessment. We analyze Cost Explorer data, CUR reports, Trusted Advisor findings, Compute Optimizer recommendations, and CloudWatch metrics across all your accounts. Deliverable: prioritized savings report with estimated monthly impact per recommendation, delivered within 5–10 business days.
Terminate idle EC2, RDS, and ELB instances. Release unassociated Elastic IPs. Delete unused EBS volumes and old snapshots. Migrate gp2 → gp3 volumes. Implement S3 lifecycle policies and Intelligent-Tiering. Clean up incomplete multipart uploads. Typical savings: 10–20% of total spend.
Purchase Savings Plans and Reserved Instances for stable workloads. Right-size instances using Compute Optimizer data. Implement Spot strategies for fault-tolerant workloads. Begin Graviton migration for compatible workloads. Deploy tagging strategy with SCP enforcement. Typical additional savings: 20–40%.
Establish FinOps practice — monthly reviews with engineering and finance, chargeback/showback reports, Cost Anomaly Detection, Budget Actions for guardrails, quarterly Savings Plans reassessment, and continuous architecture optimization as new AWS services and pricing models emerge.
| Capability | PrecisionTech | DIY / Internal Team | Generic IT Vendor |
|---|---|---|---|
| Authorized AWS Partner (APN) | ✅ Yes | ❌ No | ⚠️ May not be |
| AWS-Certified FinOps Practitioners | ✅ Yes | ⚠️ Varies | ⚠️ Rare |
| Free Cost Optimization Assessment | ✅ Included | ❌ N/A | ⚠️ Extra cost |
| CUR + Athena + QuickSight Setup | ✅ Included | ⚠️ Complex DIY | ⚠️ Limited |
| Savings Plans Procurement Advisory | ✅ Data-driven | ⚠️ Guesswork | ⚠️ Basic |
| Compute Optimizer Right-Sizing | ✅ Expert | ⚠️ Self-service | ⚠️ Limited |
| Graviton Migration Execution | ✅ End-to-end | ❌ Complex | ⚠️ Rare |
| Spot Strategy (Fleet + Containers) | ✅ Expert | ⚠️ Learning curve | ⚠️ Limited |
| Tagging Strategy + SCP Enforcement | ✅ Included | ⚠️ Inconsistent | ⚠️ Basic |
| Chargeback/Showback Reports | ✅ Automated | ❌ Manual effort | ⚠️ Extra cost |
| India-based team in India | ✅ Yes | ✅ Yes | ⚠️ Varies |
| Monthly FinOps Review Cadence | ✅ Included | ❌ Ad hoc | ⚠️ Extra cost |
| Cost Anomaly Response (< 4 hrs) | ✅ SLA | ❌ Reactive | ⚠️ Slow |
| 30+ Year Track Record in India | ✅ Since 1995 | ❌ N/A | ⚠️ Varies |
Early-stage startups burning through AWS Activate credits need cost discipline from day one. PrecisionTech implements right-sized infrastructure, Spot for non-critical workloads, S3 tiering for logs and assets, scheduled scaling for dev/staging (run 10 hrs/day, 5 days/week — 70% savings on non-production), and budget alerts to prevent bill shock as usage scales from MVP to production.
Get Quote →Large enterprises with 50+ AWS accounts need centralized cost governance. PrecisionTech sets up AWS Organizations with OU-based SCPs restricting instance types and regions, mandatory tagging with automated remediation, consolidated billing with volume discount optimization, department-level chargeback via CUR + QuickSight, and monthly executive cost reviews with trend analysis and forecast alerts.
Get Quote →E-commerce platforms face 10–50x traffic spikes during sales events. PrecisionTech designs cost-efficient scaling: On-Demand baseline with Spot burst for web tier, Aurora Serverless v2 for elastic database scaling, CloudFront with S3 origin for static assets, predictive scaling based on historical patterns, and post-event right-sizing to avoid paying peak-level costs during normal periods.
Get Quote →SaaS companies need per-customer cost visibility to protect margins. PrecisionTech implements tag-based cost allocation per customer/tenant, CUR analytics for cost-per-customer and cost-per-transaction metrics, right-sized multi-tenant infrastructure, Savings Plans optimized for baseline tenant load, and executive dashboards showing unit economics trends alongside revenue metrics.
Get Quote →Government departments and PSUs operate under strict annual budget allocations. PrecisionTech configures hard budget limits with Budget Actions (auto-restrict when 100% is reached), quarterly budget utilization reports, MEITY-compliant deployment on AWS India regions, INR billing with GST-compliant invoicing, and audit-ready cost allocation documentation mapped to government accounting heads.
Get Quote →Organizations with separate AWS accounts for business units, environments, or acquisitions often miss cross-account savings. PrecisionTech enables RI and Savings Plan sharing across accounts, consolidated billing for volume discounts, centralized cost monitoring with delegated administrator access, standardized tagging across all accounts, and merged Compute Optimizer recommendations for organization-wide right-sizing.
Get Quote →PrecisionTech optimizes workload placement across ap-south-1 (Mumbai) and ap-south-2 (Hyderabad) to minimize data transfer costs while maintaining compliance with Indian data localisation regulations.
Rated 4.9 / 5 from 186+ AWS cost optimization engagements across India
★★★★★"PrecisionTech reduced our monthly AWS bill from ₹32 lakh to ₹19.2 lakh — a 40% reduction — in just 6 weeks. They found ₹4 lakh in idle resources on day one (3 forgotten RDS instances, 47 unused EBS volumes, 12 unattached Elastic IPs). Then they right-sized 68 EC2 instances using Compute Optimizer data — most were m5.2xlarge running at 15% CPU, downgraded to m6i.xlarge. The biggest impact came from Savings Plans: they analyzed 4 months of our CUR data and recommended a ₹9 lakh/month Compute Savings Plan commitment that saves us ₹5.2 lakh monthly. They also migrated our staging environment to Graviton r7g instances — 20% cheaper with better performance. The FinOps dashboard they built in QuickSight gives our engineering leads real-time visibility into their team's spend for the first time."
★★★★★"We were spending ₹48 lakh/month on AWS with zero RI or Savings Plan coverage — everything was On-Demand. PrecisionTech implemented a phased commitment strategy: 3-year Compute Savings Plans for our stable production fleet, 1-year EC2 Instance Savings Plans for our database hosts, and RDS Reserved Instances for our 5 Aurora clusters. Combined with right-sizing our over-provisioned m5.4xlarge instances to c6i.2xlarge (our workload is CPU-bound, not memory-bound), and moving 120 TB of old product images from S3 Standard to S3 Intelligent-Tiering, our bill dropped to ₹28 lakh. That's a 42% reduction. They also designed a Spot strategy for our batch image processing pipeline — mixed instance fleet across 6 instance types — which cut that workload cost by 74%."
★★★★★"PrecisionTech migrated our entire compute fleet to Graviton — 42 production instances from m5/c5 to m7g/c7g — saving us 38% on EC2 costs with measurably better performance. Our Java Spring Boot APIs show 15% lower p99 latency on Graviton3 compared to equivalent x86. They also implemented a comprehensive tagging strategy with SCP enforcement — every resource now has environment, team, project, and cost-centre tags. For the first time, our finance team can see exactly which product line drives which costs. The monthly FinOps reviews are invaluable: they caught a cost anomaly last month where a developer accidentally left 4 p3.8xlarge GPU instances running in a sandbox account — ₹6 lakh would have been wasted if they hadn't alerted us within 4 hours. Total savings over 6 months: ₹1.2 crore."
Reviews represent actual client feedback from PrecisionTech AWS cost optimization engagements. Names shortened for privacy.
Authoritative guides, frameworks, and playbooks — curated by PrecisionTech's AWS-certified FinOps architects.
A comprehensive comparison of Compute Savings Plans, EC2 Instance Savings Plans, Standard RIs, and Convertible RIs — with decision trees, ROI calculators in INR, and recommended allocation strategies for different workload patterns.
Request the Framework →Step-by-step guide to designing and enforcing a tagging strategy — mandatory tag keys, naming conventions, SCP enforcement policies, AWS Config remediation rules, and a 90-day rollout plan to achieve 100% tag compliance across all accounts.
Get the Blueprint →Technical playbook for migrating from x86 to Graviton ARM instances — application compatibility matrix, multi-arch Docker image building, RDS/ElastiCache migration steps, performance benchmarking methodology, and rollback procedures.
Get the Playbook →A comprehensive 50-point checklist covering every cost optimization dimension — compute, storage, database, networking, commitments, governance, and architecture. Each item includes the AWS tool to use, expected savings range, and implementation complexity.
Get the Checklist →Architecture guide for building a FinOps analytics pipeline — CUR delivery to S3, Athena table creation with partition projection, 15 essential SQL queries for cost analysis, and QuickSight dashboard templates for team-level and executive cost reporting.
Request the Guide →Practical guide to Spot adoption — fleet diversification strategies, capacity-optimized allocation, interruption handling patterns, EKS/ECS Spot integration, mixed instances Auto Scaling, and real-world Indian enterprise case studies with savings data.
Get the Strategy Guide →Complete AWS services portfolio from PrecisionTech — cloud migration, 24×7 managed operations, DevOps, security hardening, cost optimization, and India-based support. Authorized AWS Partner. Mumbai & Hyderabad regions.
Learn more →Right-sized EC2 instance selection, Auto Scaling groups, Elastic Load Balancers, Graviton ARM instances for 40% better price-performance, Spot Instance optimization, and dedicated 24×7 managed compute operations.
Learn more →S3 data lake architecture, Intelligent-Tiering, lifecycle policies, S3 Object Lock for immutable backups, CloudFront CDN integration, and cross-region replication. 11 nines durability. Archive to Glacier for pennies per GB.
Learn more →Fully managed databases — MySQL, PostgreSQL, MariaDB, Oracle, SQL Server, and Amazon Aurora. Multi-AZ HA, automated backups, Read Replicas, Performance Insights, and DBA management by PrecisionTech.
Learn more →IAM governance, VPC security design, GuardDuty threat detection, Security Hub, WAF, Shield Advanced, CloudTrail audit logging, and AWS Config compliance rules mapped to DPDP Act, RBI, HIPAA, PCI-DSS, and ISO 27001.
Learn more →End-to-end AWS cloud migration — 7R strategy, AWS MGN lift-and-shift, DMS database migration, DataSync, Snow Family, Landing Zone setup, VMware Cloud on AWS, mainframe modernization. Zero data loss record.
Learn more →Everything you need to know about reducing your AWS bill and how PrecisionTech delivers FinOps services .
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