Capacity that absorbs your busiest day, spend that reflects your quietest one, and a cardholder environment scoped tightly enough to keep audits small.
A handful of trading days carry a disproportionate share of the year. Sizing for those days and paying for them year-round is the most common way retail cloud spend gets away from a team.
Autoscaling tested against realistic load is a capability. Untested, it is a plan. The rehearsal has to happen well before the date that matters.
Cardholder data reaches further than intended through logs, analytics, and support tooling. Every system it touches joins the assessment.
We build for the peak and optimize for the rest of the year, which are different problems that share one environment.
Autoscaling policies tuned against realistic load tests, capacity reservations where they are warranted, and a rehearsed runbook for the days that carry the year.
Right-sizing, commitment coverage, and scheduled scale-down for the majority of the year when the peak configuration is not needed. Savings quantified before you act.
Segmentation that keeps the in-scope estate as small as it can be, with logging and controls implemented where the assessment reaches and not everywhere else.
Multi-AZ design, tested failover, and recovery objectives measured against real data volumes.
We design and evidence the environment. Certification and attestation stay with you and your assessor.
Containers on ECS and EKS, serverless adoption, CI/CD and delivery automation, Infrastructure as Code, and application refactoring.
Workload discovery, migration planning and sequencing, database and data movement, and cutover with validation.
Pre-acquisition technical diligence, post-close cost optimization, carve-out migrations, and portfolio-wide AWS standards.
We will review your capacity plan, your spend between peaks, and how far your cardholder scope reaches today.
Start the Conversation