Proof, not promises

Case studies with measurable outcomes.

Real outcomes from cloud migrations, Kubernetes reliability, and FinOps engagements delivered for high-velocity teams in the Nordics.

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28%

Average cloud savings

99.95%

Reliability target

32 -> 8 min

MTTR improvement

8+

Industries supported

Recent wins

Work we are proud of.

Talk about your use case
FinOps Optimization Digital Products

FinOps turnaround for a Nordic scaleup

28% cloud cost reduction in 90 days without slowing delivery

  • Built unified cost dashboards across 40+ microservices
  • Introduced right-sizing and schedule-based savings for non-prod
  • Aligned finance and engineering on shared savings KPIs
Platform Engineering Digital Services

Resilience uplift for a high-traffic platform

99.95% uptime and faster incident response across customer-facing systems

  • Hardened multi-AZ Kubernetes clusters with zero-downtime deploys
  • Implemented SLOs and runbooks for 24/7 operations teams
  • Reduced MTTR from 32 minutes to under 8 minutes
Cloud Solutions Digital Platform

CloudFront pricing strategy overhaul for a global platform

Projected 93% cost reduction with flat-rate CloudFront plans

  • Analyzed 100M+ monthly requests and 40 TB data transfer patterns
  • Shifted from pay-as-you-go to flat-rate CloudFront pricing
  • Moved from variable $3,000/mo to predictable ~$200/mo spend

Cloud Solutions spotlight

Reducing Amazon CloudFront costs by about 93% through pricing strategy optimization.

Client context

High-traffic, globally distributed application on AWS. SoloStack owned architecture, deployments, security, reliability, and cost optimization. CloudFront spend was significant and hard to forecast.

The challenge

  • About 100 million requests and 40 TB data transfer out per month.
  • Pay-as-you-go pricing averaged about $3,000/month.
  • Performance was strong, but predictability and scaling economics were not.

Monthly CloudFront cost

~$3,000 -> ~$200

Cost predictability

Variable -> Fixed

Scaling risk

High -> Minimal

Key takeaways

  • Cost optimization includes pricing model selection, not just service tuning.
  • Steady, high-volume workloads gain most from flat-rate models.
  • Predictability can be as valuable as raw cost reduction.

How SoloStack helps

  • Analyze real AWS usage patterns and traffic stability.
  • Select and combine pricing models for spend and risk.
  • Drive savings without impacting performance, security, or reliability.

Delivery approach

Built for measurable outcomes.

We combine platform engineering, financial governance, and operations discipline to land changes quickly and prove value early.

  1. 01 Define clear SLOs, savings targets, and rollout milestones.
  2. 02 Ship in safe weekly slices with automation and tests built in.
  3. 03 Transfer capability through runbooks, dashboards, and enablement.

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Have a case to tackle?

Tell us about your reliability, cloud, or FinOps goals. We will share a tailored plan and relevant examples.

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