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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Snapshot

The outcomes teams ask for.

Avg. cloud savings

28%

Reliability targets

99.95%

MTTR improvement

30 → 8 min

Industries supported

8+

Recent wins

Work we are proud of

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 + engineering on shared savings KPIs
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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
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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
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Cloud Solutions spotlight

Reducing Amazon CloudFront costs by ~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

  • ~100 million requests and ~40 TB data transfer out per month.
  • Pay-as-you-go pricing averaged ~$3,000/month, varied by usage, and required constant forecasting.
  • Performance and availability were strong, but predictability and scaling economics were not.

Initial optimization

Implemented CloudFront Savings Bundles for immediate gains.

  • ~30% reduction in CloudFront costs.
  • Better short-term predictability, still tied to usage forecasts.

Pricing model shift

Re-evaluated after AWS introduced flat-rate CloudFront plans.

  • Business flat-rate plan fit the steady workload.
  • No architectural or performance changes required.

Monthly CloudFront cost

~$3,000 → ~$200

Cost predictability

Variable → Fixed

Scaling risk

High → Minimal

Current status

Savings Bundles remain active while coordinating with AWS on transition details to the flat-rate plan. Client will finalize the switch to lock in the projected ~93% reduction.

Key takeaways

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

How SoloStack helps

  • Analyze real AWS usage patterns and traffic stability.
  • Select and combine the right pricing models for spend and risk.
  • Drive savings without impacting performance, security, or reliability.
  • Guide migrations from pay-as-you-go to flat-rate models smoothly.

Delivery approach

Built for measurable outcomes

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

Define clear success metrics

We agree on SLOs, savings targets, and rollout milestones with engineering and finance before we start.

Ship in safe, iterative slices

Changes are delivered in weekly increments with progressive delivery, policy-as-code, and automated testing baked in.

Partner beyond go-live

Runbooks, on-call enablement, and capability-building ensure the team sustains results after handover.

Typical engagement flow

  1. 1

    Assess & baseline

    Current state review, risk assessment, and target metrics set.

  2. 2

    Pilot the change

    Deploy a low-risk slice to prove impact and validate the plan.

  3. 3

    Scale & enable

    Roll out with automation, runbooks, and training for the team.

  4. 4

    Measure & iterate

    Track SLOs, savings, and release cadence; tune where needed.

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Tell us about your reliability, cloud, or FinOps goals. We will share a tailored plan and relevant case studies to match.

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