AWS · Azure · GCP · Certified Architects
Your Cloud Bill is 35% Higher Than It Should Be.
Over-provisioned EC2s, idle load balancers, wrong instance families, storage in expensive tiers. We audit, fix, and manage your cloud — average client saves $4,200/month. Free audit.
AWS
EC2, S3, RDS, Lambda, Bedrock, SageMaker. Certified architects for compute, storage, AI/ML, and serverless.
Microsoft Azure
Azure VMs, Azure DevOps, Cosmos DB, AKS. Enterprise-grade infra with Active Directory integration.
Google Cloud
GKE, BigQuery, Cloud Run, Vertex AI. Data-heavy workloads and AI/ML pipelines at scale.
Why your cloud bill keeps growing faster than your traffic.
We've audited 60+ AWS / Azure / GCP accounts in the last two years. The pattern is consistent: six leaks account for 80% of the waste. None of them are about cloud being expensive — they're about cloud being flexible enough to silently waste money.
A typical $30k/month AWS bill has $8k–$12k of recoverable spend. The good news: most of it is no-code-change, just configuration. The 48-hour audit surfaces exactly which leak is biggest in your account.
Get a free 48-hour auditOver-provisioned instances running 24/7
m5.4xlarge bought “just in case,” sustained CPU at 8%. The dev team specced for peak load that never came, autoscaling was never tuned, and nobody owns the rightsizing review. 20–35% of typical EC2 spend.
Storage in the wrong tier
Five-year-old logs on hot S3 Standard at $0.023/GB instead of Glacier Deep Archive at $0.00099/GB. EBS volumes provisioned at 3000 IOPS for workloads that need 100. We move what should move, keep what should stay.
Reserved Instances + Savings Plans bought wrong (or not at all)
On-demand pricing for workloads running 24/7. Or RIs bought for an instance family you've since migrated off. We compute coverage targets, lock in Savings Plans with the right commitment term, and offload mismatched RIs on the Marketplace.
Data transfer (egress) charges nobody tracks
NAT Gateway, inter-AZ chatter, public-internet egress — these are line items that grow silently. CloudFront in front of public APIs, VPC endpoints for S3 / DynamoDB, AZ-aware service placement — typically cuts data-transfer spend 40–60%.
Zombie resources nobody owns
Unattached EBS volumes, orphaned snapshots, abandoned dev environments, old AMIs, idle load balancers. The classic story: someone left, projects shifted, the resources kept billing. Our audit finds and tags every one for a kill-or-keep decision.
No cost visibility per team or feature
Untagged resources, no Cost Allocation Tags, one big AWS account for everything. You can't optimise what you can't attribute. We deploy a tagging policy, AWS Organizations + per-team accounts where it helps, and dashboards showing $ per product, customer, or environment.
Cloud that performs. Bills that don't surprise.
Cloud Cost Optimization
Your AWS bill is 30-40% higher than it should be. We find every over-provisioned instance, idle resource, and wasted Reserved Instance — and kill it. Average client saves $4,200/month.
Cloud Migration
On-prem to AWS/Azure/GCP. Lift-and-shift, re-platform, or re-architect — depends on what makes financial sense, not what sounds impressive in a proposal.
DevOps & CI/CD
Terraform, Docker, Kubernetes, GitHub Actions. Automated deployments, infrastructure-as-code, zero-downtime releases. Your dev team ships faster, breaks less.
Security & Compliance
SOC2, HIPAA, PCI-DSS — not just checkbox compliance. IAM policies, encryption at rest/transit, vulnerability scanning, and security monitoring that actually catches threats.
Infrastructure Design
Multi-AZ, auto-scaling, disaster recovery. We architect for 99.99% uptime — not 99.9% with hope. Load testing before launch, not after the first outage.
Managed Cloud Services
24/7 monitoring, alerting, patching, backups. Monthly cost reports with optimization recommendations. Your cloud runs itself — we just make sure nothing burns.
Hard numbers. Not “enhanced performance.”
Avg Cloud Cost Saved
Rightsizing, Reserved Instances, spot fleets, storage tiering, and killing zombie resources
Uptime SLA
Multi-AZ architecture, auto-scaling, failover — not aspirational, contractual
Avg Migration Time
Structured, phased migration with zero unplanned downtime
Performance Gain
Right architecture + right instance types + CDN + caching. Speed costs less than you think.
Largest Bill Reduction
Single client: from $32K/mo to $20K/mo with zero performance degradation
Managed Services
Monitoring, alerting, patching, backups, cost reports. Every month.
Audit to managed. Not audit to “Phase 2.”
Cloud Audit & Cost Analysis
We analyze your existing infra — on-prem or cloud. Every instance, every storage bucket, every idle load balancer. You get a report showing exactly where you're bleeding money.
Architecture & Migration Plan
Blueprint your target architecture on AWS/Azure/GCP. Cost projections, timeline, risk mitigation. Fixed-scope pricing — not "we'll figure it out as we go."
Migration & Build
Phased migration with parallel running. Zero-downtime cutover. Infrastructure-as-code so everything is reproducible, auditable, and version-controlled.
Optimize & Manage
Post-migration optimization: performance tuning, security hardening, cost monitoring. Then ongoing managed services — or we hand over the keys. Your choice.
Five workstreams. No vague “cloud assessment” theatre.
Every audit checks the same five areas. We tell you exactly what we'll look at, what we won't, and what you receive at the end. No hand-wavy “maturity models” — just a prioritised list of fixes with dollar values per item.
Compute & rightsizing
- EC2 / VM utilisation analysis across 14-day window — CPU, memory, IOPS, network
- Instance family migration recommendations (e.g. m5 → m7g for 20–40% better $/perf)
- Auto-Scaling Group config review — cooldown timers, scaling policies, min/max bounds
- Spot / preemptible fleet candidates flagged with interruption-tolerance scoring
- Container right-sizing for ECS / EKS / AKS workloads (CPU + memory requests vs. actual)
Storage & data
- S3 lifecycle policy gaps — candidates for IA, Glacier, Deep Archive
- EBS volume utilisation, IOPS over-provisioning, gp2 → gp3 savings
- RDS / Aurora I/O optimisation + storage autoscaling thresholds
- Snapshot retention review (we typically find 30–60% are deletable)
- CloudFront / CDN coverage gaps for high-egress endpoints
Commitment & pricing
- Reserved Instance + Savings Plan utilisation report
- Recommended Savings Plan commitment (1- or 3-year, all-up vs. compute) with payback math
- Marketplace offload plan for mismatched RIs
- Cross-account discount-sharing review for AWS Organizations setups
- Spot vs. on-demand mix optimisation for batch and async workloads
Security & compliance posture
- IAM policy hygiene — least-privilege gaps, unused credentials, root account usage
- Public S3 buckets, security groups open to 0.0.0.0/0, unencrypted volumes
- CloudTrail / GuardDuty / Security Hub coverage and alert noise audit
- Compliance gap analysis vs. SOC 2, HIPAA, PCI-DSS, or ISO 27001 baselines
- Secret-management review — hardcoded creds, key rotation, Secrets Manager adoption
Output you actually receive
- 48-hour turnaround for typical 200-resource accounts
- PDF report with prioritised fixes, dollar-value per item, and effort estimate
- Quick-win list (no-code-change savings, usually 15–25% of spend)
- 90-day roadmap covering structural fixes (architecture, tagging, FinOps)
- 30-minute walkthrough call with a senior architect — no junior pitching
“We were overpaying by $12,000/month on AWS with half our instances idle. Braincuber audited our setup, redesigned our architecture, and completed migration in 6 weeks. We now run 40% faster at 30% lower cost. Best ROI decision we've made.”
Vikram Nair
CTO, Pureplay Retail
Cloud questions. No consultant jargon.
Every month you delay, your cloud bill bleeds another $4K+.
Free cloud audit. See exactly where you're overspending — in 48 hours.