Not every problem needs a retainer. These are scoped engagements — an architecture built, an application moved, an account audited.
Not everything needs a retainer. These are bounded engagements with a price and an end date.
A production AWS environment designed for what you actually run, then built. Networking, compute, data, backups and monitoring provisioned as code so it can be rebuilt or handed to another engineer without archaeology.
Application work by the person who owns the infrastructure underneath it. Serverless Laravel with Vapor, legacy PHP brought up to a supportable standard, or a build from scratch that is deployable on the first day rather than the last.
A written review of where the money goes and where the system will bend under load. Findings are prioritized by what they save against what they cost to fix, so you can act on the top of the list and ignore the rest.
The usual split puts application developers on one side and an infrastructure team or agency on the other. Most production problems live exactly on that line — a query that only falls over at scale, a deploy that works locally and not on Lambda, a cost spike that is really an application bug. When one person owns both, that handoff does not exist and the problem gets fixed instead of routed.
13+ years of production systems, spent on the parts that break at scale.
Designing environments that hold up under load and do not cost more than they need to. VPC layout, compute selection, data tier, failover, and the tradeoffs between them made explicitly rather than by default.
Production Laravel, including serverless deployment on Lambda via Vapor. Queues, scheduled work, storage and database connections configured for an environment that scales to zero and back.
Finding the 20–40% of an AWS bill that buys nothing — idle capacity, oversized instances, storage on the wrong tier, unrenewed commitments — and keeping it from growing back.
Alerting that fires on things worth waking up for and stays quiet otherwise. Dashboards that answer the question actually being asked during an incident.
Infrastructure defined in code so environments are reproducible, reviewable and recoverable. No undocumented console changes that nobody can reconstruct six months later.
ECS with GitHub Actions CI/CD, autoscaling, an application load balancer and CloudFront replaced Laravel Vapor — same application, $400/month instead of $600–700.
A multi-AZ Elastic Beanstalk deployment with load balancing, auto scaling and CloudWatch monitoring throughout.
Read case study: Seamless Migration: Minimizing Downtime and Enhancing Data Security on AWSAn S3 and CloudFront tracking page backed by API Gateway and Lambda, with third-party order data and RDS authentication.
Read case study: Efficient Order Tracking Solution: Leveraging AWS Services for Seamless OperationsStop firefighting your AWS.
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