Mid-market SaaS: AWS cost reduction
Restructured the cloud setup so spend is owned per product line, paired with right-sized compute and automatic scaling against real demand. Zero customer-facing impact during the migration.
Engagement patterns distilled from prior delivered work: the decisions, tradeoffs, and architectures that mattered.
Each case is a composite, sanitised for confidentiality. Names, quotes, and dollar figures are anonymised; the tradeoffs and architectures are real.
Restructured the cloud setup so spend is owned per product line, paired with right-sized compute and automatic scaling against real demand. Zero customer-facing impact during the migration.
Live in two regions with automatic failover and a reliability-vs-feature-velocity policy in place. Twelve months of operation through a cloud-region outage with no customer-facing downtime.
Incident workflows wired around customer-facing reliability targets, automatic playbook triggering, and incident grouping that points at the source. Median time-to-resolution dropped from 32 minutes to 9 minutes across a 200-service fleet.
GPU-ready production platform on a managed cloud, automated deployment pipelines for model training, signed releases, and secrets handling done right. Team self-sufficient by week 6.
Unified production-monitoring system across 4 product lines and 60+ services, with reliability targets defined against what customers actually see. One platform replaces three previous vendors.
Every software release signed and inventoried, with verifiable build history. First SOC 2 Type 2 audit closed with zero findings.
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