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Cloud FinOps & Infrastructure Optimization · High-Scale SaaS

Cloud FinOps & Security Cost Optimization

How an enterprise retail infrastructure provider in the UK and Germany reduced annual cloud security and telemetry spending by £215,000 (37% reduction) while improving historical search speeds by 3x.

£215,000
Annual Cloud Savings
37%
Total Budget Reduced
3x
Historical Query Speed
Zero
Detection Blindspots

Client Challenge

As customer traffic scaled across European availability zones, the client’s cloud logging and security tooling budget skyrocketed to over £580,000 per year in AWS and Azure.

An internal audit showed that 45% of ingested log data was duplicate debug telemetry (e.g. redundant load balancer health-check 200 OK messages and verbose VPC flow logs) that provided zero forensic or compliance value.

FinOps Architecture & Telemetry Streamlining

  • Upstream Telemetry Filtering: Introduced BindPlane edge collectors to filter repetitive keep-alive packets and noise before ingestion, reducing raw data transfer volume by 38%.
  • Parquet Transformation & Cold Archival: Routed compliance-mandated audit logs into partitioned Parquet format in AWS S3 Glacier Instant Retrieval and Azure Archive Storage, reducing per-gigabyte retention costs by 85%.
  • CSPM License Optimization: Rationalized overlapping security tooling across Wiz, AWS Inspector, and Azure Defender, consolidating onto high-signal tools and removing redundant agent licenses.
  • Automated Cost Anomaly Alerts: Deployed Terraform-managed AWS Budgets and Azure Cost Management anomaly alerts to alert platform leads when any individual service exceeds expected daily telemetry baselines.

Financial & Technical ROI

  • £215,000 Recurring Savings: Immediate, sustainable 37% decrease in annual security and logging expenses.
  • 3x Faster Log Queries: Smaller, cleaner log datasets in Google SecOps improved Athena and Chronicle query runtimes significantly.
  • Maintained 100% Compliance: Satisfied all ISO 27001 and PCI DSS audit logging mandates without storing unnecessary noise in hot analytical tiers.