LitDevs identifies and eliminates cloud waste without touching your performance. Right-sizing, reserved instances, spot fleets and FinOps practices for startups and SaaS teams.
Book a Free Cost AuditCloud cost overruns are almost never about using too much cloud — they're about using it inefficiently.
Instances sized for peak load that never arrives. The average AWS workload uses less than 15% of provisioned CPU. We right-size based on actual metrics.
Dev and staging environments that no one uses at night or on weekends. Unattached EBS volumes, idle load balancers and forgotten snapshots — all costing money.
Running 100% on-demand for predictable workloads costs 2–3× more than reserved instances. We analyse your usage patterns and structure commitments strategically.
Cross-region data transfer fees and resources deployed in expensive regions add up fast. We audit your architecture for geography-related waste.
S3 buckets with no lifecycle policies, over-provisioned RDS storage, redundant database snapshots and hot storage for cold data — all avoidable costs.
Without tagging, chargeback and budget alerts, teams don't know what's expensive until the invoice arrives. We implement full FinOps visibility from day one.
A systematic approach to eliminating waste and structuring cloud spend correctly — without guesswork.
We analyse your cloud account and produce a prioritised list of savings opportunities — idle resources, right-sizing candidates and reserved instance gaps — with estimated savings for each.
Using CloudWatch, Azure Monitor or GCP Cloud Monitoring metrics, we right-size every EC2 instance, RDS database, Kubernetes node group and managed service to match actual usage.
Strategic commitment purchasing across 1-year and 3-year terms for EC2, RDS, ElastiCache, EKS and other services — structured to match your actual baseline demand.
Spot Fleet on AWS, preemptible VMs on GCP and Azure Spot VMs for non-critical workloads. Up to 90% savings on suitable compute — with automated fallback to on-demand.
Automated shutdown of dev, staging and QA environments outside working hours. Typically saves 40–70% on non-production compute costs immediately.
S3 intelligent tiering, lifecycle policies, snapshot cleanup, EBS volume audit and moving cold data to Glacier or nearline storage — often saves $500–$5,000/month alone.
A complete resource tagging taxonomy so every dollar of cloud spend is attributed to a team, service or environment. Enables internal chargeback and accountability.
AWS Cost Anomaly Detection, Azure Cost Alerts or GCP budget notifications — so you know about cost spikes in hours, not at month-end invoice time.
Real savings from real LitDevs engagements — before and after optimisation.
LitDevs averages a 40% reduction per engagement. Teams with no prior optimisation often save 30–60%. We identify projected savings before we start, so you know exactly what to expect before committing.
No. We right-size based on actual metrics, not estimates. We increase isolation for critical workloads while eliminating waste on non-critical ones. In most engagements, optimisation improves reliability — fewer single points of failure, better autoscaling.
AWS, Microsoft Azure and Google Cloud Platform (GCP), as well as multi-cloud environments. Our engineers know each provider's specific cost levers — EC2 Savings Plans, Azure Hybrid Benefit, GCP committed use discounts and so on.
FinOps (Cloud Financial Operations) brings financial accountability to variable cloud spending — shared ownership between engineering, finance and product teams with real-time visibility, allocation and forecasting. LitDevs implements FinOps tooling and culture alongside technical optimisation.
Audit and quick wins (idle shutdown, right-sizing) take 1–2 weeks. Reserved instance structuring takes another 1–2 weeks. Full FinOps practice implementation including tagging, chargeback and alerting typically completes in 4–6 weeks total.