Tips to Reduce AWS Expenses

We saved $27,000/year on AWS. No vendor switch. No performance downgrade. No panic calls to AWS sales. Just smart infra changes. Here’s the full breakdown ↓ A SaaS client came to us with one ask: “Can you review our AWS setup? Our bill’s gone up 40%, but nothing has changed.” 🧾 Monthly bill: $9.6K 📉 After 10 days of work: $7.3K 💰 Yearly savings: $27K+ ⚡ Performance impact: Zero What we fixed: They were routing all S3 and DynamoDB traffic through NAT Gateways. NAT alone was eating up 30% of VPC charges. → We replaced it with VPC Endpoints → Saved: $1.1K/month Their EC2 setup: • Overprovisioned instances • Dev/test running 24x7 • No Spot usage, no Graviton What we did: → Moved batch jobs to Spot Fleet → Replaced t3.2xlarge with t4g.medium → Auto-shutdown for staging/dev → Saved: $800–1K/month On EBS: • 12 orphaned volumes • Old snapshots piling up → Enabled auto-delete → Archived to Glacier → Saved: $300/month CloudWatch logs? Retained for 365+ days on every Lambda & ECS. → Set retention to 30 days → Moved old logs to Deep Archive → 80% reduction in logging cost Reserved Instances? • Wrong size • Wrong region • No usage of Compute Optimizer We: → Rightsized 8 EC2s → Shifted to Savings Plans → Resold unused RIs on AWS Marketplace → Saved: $400/month We wrapped it all with a FinOps dashboard to track spend and prevent future bloat. Reality is AWS isn’t expensive. Mismanaged AWS is. Most teams don’t review their infra often enough. If it’s been over a quarter, you’re probably leaking money. Comment “AWS” or DM me, I’ll send it over.

🧾 Today I automated a full AWS cost-saving audit using nothing but Bash, AWS CLI, and jq. ✅ To learn more, checkout the project: https://lnkd.in/efmb-uBw As a DevOps engineer, I’ve seen how cloud costs can sneak up when environments grow - especially in multi-team setups. So I built a suite of scripts to scan for common silent budget killers: 🔍 What the audit covers: 💸 On-Demand EC2 Instances - not covered by Savings Plans or Reserved Instances 🧹 Unattached (forgotten) EBS volumes - still billing after EC2 is gone 🗓️ Old RDS snapshots - sitting idle and growing in size 🗃️ S3 buckets without lifecycle policies - no object expiration = endless cost 🌐 Data transfer risks - public IPs, missing VPC endpoints, cross-AZ traffic 🛑 Idle Load Balancers - ALBs/NLBs with 0 traffic in days = money drain Each script logs results with summaries, and suggestions. The best part? No third-party tools. Just raw AWS CLI power and CloudWatch metrics. ✅ If you're managing cloud infrastructure, it's worth automating cost hygiene like this. Want to exchange ideas or set this up in your environment? Let’s connect. #aws #devops #finops #cost #optimization #bash

Your EC2 instances are running wild at 3 AM. Here's how I cut our AWS bill by 63% without disrupting prod 👀 Last month, I discovered our team was burning through AWS credits faster than expected. The culprit? Development instances running 24/7 when our team only works 8 hours a day. Here's what I implemented: 1. Created an instance scheduler using AWS Lambda + EventBridge 2. Tagged all non-prod instances with 'AutoStop: true' 3. Set up start/stop times aligned with our global team's working hours 4. Added override protection for critical testing periods The results were immediate: 1. Monthly EC2 costs dropped from $8,500 to $3,145 2. Dev environment uptime matched actual usage patterns 3. Zero impact on production workloads 4. Automated Slack notifications for any manual overrides Pro tip: Don't just stop instances. Also check for: 1. Orphaned EBS volumes 2. Unused Elastic IPs 3. Over-provisioned RDS instances Bonus: I created a simple AWS Lambda function that checks for resources without cost allocation tags and sends daily reports. Caught $950 worth of untagged resources in the first week! Want the CloudFormation template for this setup? Drop a comment below, and I'll share the GitHub repo. #AWS #CloudCost #DevOps #CloudComputing #AWSCommunity

$607K/year. Found in 2 hours. One client had no idea it was leaving. I do cloud cost audits as part of every engagement. Most clients think they have a spending problem. They don't. They have a looking problem. Here's what I found last month — line by line: Leak 1: 47 orphaned EBS volumes → Sitting there after instance terminations → Nobody noticed. $8,200/month gone. Leak 2: Production DB on db.r5.4xlarge. Average CPU: 12%. → Right-sized to db.r5.xlarge → $14,000/month recovered. Leak 3: 24/7 workloads running On-Demand → Switched to 3-year Reserved Instances → 62% cost reduction. $22,000/month back. Leak 4: Three "temporary" staging clusters → Running for 14 months → Nobody remembered who spun them up → $6,400/month. Gone. Total: $50,600/month. $607K/year. Time: 2 hours + AWS Cost Explorer. The audit isn't complicated. The problem is nobody schedules it. Most cloud bills don't have a spending problem. They have a looking problem. Save this checklist: orphaned volumes → oversized instances → On-Demand vs RI gap → forgotten environments. Run it quarterly. Know an engineering leader who hasn't looked at their cloud bill this quarter? Share this. P.S. What's the last thing you found on your bill that had no owner? #AWS #CloudCost #CloudArchitecture

Your AWS bill isn’t just about infrastructure. It’s about how your team uses it. We audited an AWS account spending $45,000/month. Guess what? Over $18,000 was just bad DevOps habits. Here’s what we found (and how to fix it): 1️⃣ Overprovisioned everything → EC2s 5x larger than needed → RDS clusters at <10% usage → Lambda functions maxed out by default Set-and-forget costs money. 2️⃣ No tagging = chaos → Idle EBS volumes, zombie load balancers → No clue who owns what → No one wants to delete “just in case” Tag by team, project, and environment. Always. 3️⃣ Manual deployments = money leaks → Full env spin-ups for rollbacks → Old versions still running → No CI/CD = more human errors Automation isn’t optional anymore. 4️⃣ “Temporary” environments still running → Dev, staging, test all on, all the time → No shutdown policies → Everyone assumed someone else would clean up Build expiry rules into the workflow. 5️⃣ No cost visibility for devs → Engineers never saw the AWS bill → No budgets, no alerts → No incentive to optimize Show the numbers. Make cost part of sprint reviews. Here’s the truth: AWS isn’t expensive. Messy teams make it expensive. We’ve helped teams save 30–60% → No downtime → No code changes → No extra tools Spending $1K+ on AWS? Drop a “review” below or DM me. We’ll find the leaks fast.

Kubernetes Cost Optimization: The $50K Lesson Our monthly AWS bill hit $80K. Leadership asked: "Why so expensive?" The answer wasn't pretty. We were running Kubernetes like it was free. Here's how we cut costs by 60% without sacrificing performance: 1. Right-Sizing Workloads Problem: Developers requesting 4GB RAM, using 400MB Solution: Vertical Pod Autoscaler + resource usage analysis Savings: 35% on compute costs 2. Spot Instances for Non-Critical Workloads Problem: Running dev/staging on expensive on-demand instances Solution: Karpenter for intelligent spot instance management Savings: 70% on non-production environments 3. Cluster Autoscaling Tuning Problem: Nodes spinning up too aggressively, staying idle Solution: Adjusted scale-down delay, implemented pod disruption budgets Savings: 20% reduction in idle node time 4. Storage Optimization Problem: Persistent volumes never deleted, snapshots piling up Solution: Automated PV cleanup policies, snapshot lifecycle management Savings: $8K/month on EBS costs alone 5. Multi-Tenancy with Namespaces Problem: Separate clusters for each team Solution: Consolidated to shared clusters with proper isolation Savings: Reduced cluster overhead by 40% 6. Reserved Instances for Stable Workloads Problem: Paying on-demand prices for always-running services Solution: 1-year RIs for baseline capacity Savings: 30% on predictable workloads Tools that helped: • Kubecost for cost visibility per namespace/pod • Karpenter for intelligent node provisioning • Prometheus metrics for usage analysis • AWS Cost Explorer for trend analysis The real win? Making cost a first-class metric alongside performance and reliability. Now every team sees their infrastructure spend in real-time. Cost awareness became part of the development culture. Final monthly bill: $32K Savings: $48K/month = $576K annually Kubernetes isn't expensive. Unoptimized Kubernetes is. What's your biggest cloud cost challenge? #Kubernetes #CloudCost #DevOps #AWS #CostOptimization #FinOps #CloudEngineering #InfrastructureEngineering #SRE #K8s

How I Cut Cloud Costs by $300K+ Annually: 3 Real FinOps Wins When leadership asked me to “figure out why our cloud bill keeps growing Here’s how I turned cost chaos into controlled savings: Case #1: The $45K Monthly Reality Check The Problem: Inherited a runaway AWS environment - $45K/month with zero oversight My Approach: ✅ 30-day CloudWatch deep dive revealed 40% of instances at <20% utilization ✅ Right-sized over-provisioned resources ✅ Implemented auto-scaling for variable workloads ✅ Strategic Reserved Instance purchases for predictable loads ✅ Automated dev/test environment scheduling (nights/weekends off) Impact: 35% cost reduction = $16K monthly savings Case #2: Multi-Cloud Mayhem The Problem: AWS + Azure teams spending independently = duplicate everything My Strategy: ✅ Unified cost allocation tagging across both platforms ✅ Centralized dashboards showing spend by department/project ✅ Monthly stakeholder cost reviews ✅ Eliminated duplicate services (why run 2 databases for 1 app?) ✅ Negotiated enterprise discounts through consolidated commitments Impact: 28% overall reduction while improving DR capabilities Case 3: Storage Spiral Control The Problem: 20% quarterly storage growth, 60% of data untouched for 90+ days in expensive hot storage My Solution: 1, Comprehensive data lifecycle analysis 2, Automated tiering policies (hot → warm → cold → archive) 3, Business-aligned data retention policies 4, CloudFront optimization for frequent access 5, Geographic workload repositioning 6, Monthly department storage reporting for accountability Impact: $8K monthly storage savings + 45% bandwidth cost reduction ----- The Meta-Lesson: Total Annual Savings: $300K+ The real win wasn’t just the money - it was building a cost-conscious culture** where: - Teams understand their cloud spend impact - Automated policies prevent cost drift - Business stakeholders make informed decisions - Performance actually improved through better resource allocation My Go-To FinOps Stack: - Monitoring: CloudWatch, Azure Monitor - Optimization: AWS Cost Explorer, Trusted Advisor - Automation: Lambda functions for policy enforcement - Reporting: Custom dashboards + monthly business reviews - Culture: Showback reports that make costs visible The biggest insight? Most “cloud cost problems” are actually visibility and accountability problems in disguise. What’s your biggest cloud cost challenge right now? Drop it in the comments - happy to share specific strategies! 👇 FinOps #CloudCosts #AWS #Azure #CostOptimization #DevOps #CloudEngineering P.S. : If your monthly cloud bill makes you nervous, you’re not alone. These strategies work at any scale.

I reduced our Annual AWS bill from ₹15 Lakhs to ₹4 Lakhs — in just 6 months. Back in October 2024, I joined the company with zero prior industry experience in DevOps or Cloud. The previous engineer had 7+ years under their belt. Just two weeks in, I became solely responsible for our entire AWS infrastructure. Fast forward to May 2025, and here’s what changed: ✅ ECS costs down from $617 to $217/month — 🔻64.8% ✅ RDS costs down from $240 to $43/month — 🔻82.1% ✅ EC2 costs down from $182 to $78/month — 🔻57.1% ✅ VPC costs down from $121 to $24/month — 🔻80.2% 💰 Total annual savings: ₹10+ Lakhs If you’re working in a startup (or honestly, any company) that’s using AWS without tight cost controls, there’s a high chance you’re leaving thousands of dollars on the table. I broke everything down in this article — how I ran load tests, migrated databases, re-architected the VPC, cleaned up zombie infrastructure, and built a culture of cost-awareness. 🔗 Read the full article here: https://lnkd.in/g99gnPG6 Feel free to reach out if you want to chat about AWS, DevOps, or cost optimization strategies! #AWS #DevOps #CloudComputing #CostOptimization #Startups