CLOUD CERTAINTY
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[ 03 ] CLOUD COST MANAGEMENT

Spend traced back to the decisions that caused it.

Cost tools show you where money went. We work out why, fix the architecture behind it, and leave reporting in place so the saving holds. Across our engagements the average reduction is 27% of monthly cloud spend.

DISCUSS THIS WORK →
WHERE THE 27% COMES FROM ATTRIBUTION · WASTE · ARCHITECTURE · COMMITMENTS · ALERTING
[ C1 ] BASELINE — SPEND ATTRIBUTED[ C2 · C3 ] WASTE REMOVED, ARCHITECTURE FIXED[ C4 ] COMMITMENTSMONTHLY CLOUD SPENDPLATFORM — 38%DATA — 24%APP TEAMS — 21%NON-PROD — 12%UNOWNED — 5%NOBODY HAS OWNED THIS FOR A YEARMAPPED TO WORKLOAD, TEAM, ENVIRONMENTTAGGING COVERAGE62% → 98% OF SPEND ATTRIBUTABLEWATERFALL — CURRENT BILL DOWN TO WHAT IT SHOULD BEBASELINEIDLE ENVORPHANEDOVERSIZEDCROSS-AZRETENTIONOPTIMISED100%−7%−4%−9%−5%−2%73%−27%AVERAGE REDUCTION — THE ARCHITECTURE IS FIXED, NOT THE LINE ITEMCOMMITMENT COVERAGERESERVED — 42%SAVINGS PLAN — 31%ON-DEMAND — 27%SIZED AGAINST DEMANDYOU CAN ACTUALLY PREDICT —NOT LAST MONTH'S PEAKEXPIRY TRACKEDRENEWED, RESIZED OR LET GOREVIEWED QUARTERLY[ C5 ] ONGOING CONTROL — ALLOCATION, TAGGING, BUDGETS AND ALERTSRUN ON COSTLIKESPEND BY TEAMBUDGET THRESHOLDSANOMALY ALERTSMONTHLY REVIEWANOMALY — CAUGHT IN DAYSNOT AT QUARTER END
[ A ] WHAT THE WORK COVERS
C1
Baseline
A view of current spend mapped to workloads, teams and environments — including the parts nobody has owned for a year.
C2
Waste removal
Idle environments, orphaned volumes, forgotten load balancers, oversized nodes and storage tiers left on defaults.
C3
Architectural fixes
Cross-zone traffic, chatty services, retention policies and data movement patterns that quietly set the floor on your bill.
C4
Commitments
Reserved capacity and savings plans sized against demand you can actually predict, not against last month's peak.
C5
Ongoing control
Allocation, tagging, budgets and alerts so a regression is caught in days rather than at quarter end.
WHERE THE SAVING SITS IN THE PLATFORM TIER × ZONE · BASELINE VS TODAY
MONTHLY SPEND BY TIER AND ZONEHEIGHT IS COST · THE WIREFRAME ABOVE EACH BLOCK IS WHAT WE TOOK OUTEDGE & INGRESS9% → 6%APPLICATION36% → 24%DATA32% → 25%PLATFORM SERVICES23% → 18%AZ-A38% → 28%AZ-B35% → 26%AZ-C27% → 19%SPEND TODAYREMOVED — WHAT THE BASELINE COST−27%OF THE MONTHLY BILL, REMOVED100% → 73% · AVERAGE ACROSS ENGAGEMENTS
THE TOOL WE RUN IT ON
CostLike

Your whole infrastructure bill, in one window

A baseline goes stale the moment an engagement ends. CostLike is the desktop app we use to keep it current: billing data, cost analysis, budgets, anomaly detection, forecasts and savings recommendations in one place. Credentials and billing data stay on your machine rather than on someone else's server.

COSTLIKE.COM →
WHAT IT DOES
  • Cost explorer with custom reporting
  • Budget tracking with burn-down views
  • Anomaly detection and alerts
  • Savings recommendations
  • Allocation and chargeback
  • Tag coverage and unit economics
CONNECTS TO
AWS · HETZNER CLOUD · GITHUB
[ B ] WHAT YOU GET
01
Cost baseline with spend attributed by team and workload
02
Ranked list of savings with effort and risk against each
03
Implemented changes, not just recommendations
04
Tagging, budgets and reporting that stay in place
Everything lands in your repositories and your accounts. Nothing depends on us staying.
[ C ] OTHER SERVICES
01
AWS solution architecture
Landing zones, multi-account structure, networking and workload design — reviewed against the way your team actually operates.
→
02
Kubernetes management
Cluster design, upgrades, autoscaling, observability and day-two operations across managed and self-hosted Kubernetes.
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04
Terraform & IaC
Module libraries, state strategy and pipelines that make infrastructure changes reviewable instead of nerve-racking.
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Tell us what you have — we make it better and cheaper

Send a short description of your current setup. We will tell you what we would improve, what it would cost, and where the savings are. A considered reply from an engineer, not a sales sequence.

[email protected]