Engineering Services

We design observability stacks that actually answer the questions your engineers ask at 2am. We instrument your services, build dashboards and alerts that map to real user impact, and put runbooks in place so on-call isn't a guessing game. The goal is a system that surfaces problems before customers do and tells you what to do about them.

We stand up secure, multi-account AWS foundations and migrate your workloads onto them using a proven accelerator — compressing what's typically a long setup into a few weeks. Your landing zone ships with networking, identity, guardrails, and cost controls already configured to AWS best practices, and your migrated workloads run on infrastructure your team can extend without rebuilding from scratch. The result is a production environment that's ready for what you build next, not just what you moved over.

We modernize applications onto ECS, EKS, Lambda, or whichever runtime actually fits the workload and your team's operational maturity. That includes the CI/CD pipelines, observability, autoscaling, and cost controls needed to run modern compute responsibly — not just a "Hello World" container in a fresh cluster. When lift-and-shift is the smarter call, we'll tell you that too.

We codify your AWS infrastructure in Terraform or CDK and wire up the delivery pipelines around it, so every change is versioned, reviewed, and repeatable. Modules are built to be inherited — tested, documented, and structured the way platform teams actually want to maintain them. By the time we hand it off, console clicks are the exception, and your team can ship infrastructure changes with the same confidence they ship code.

We move databases onto AWS-native services like RDS, Aurora, and DynamoDB — and tune what's already there so you stop paying a premium for queries that should be cheap. That includes schema and engine selection, cutover planning with minimal downtime, and right-sizing for the workload you actually run, not the one you provisioned for two years ago. The result is a database tier that's faster, cheaper to operate, and easier for your team to maintain.

We design and build cloud-native data platforms on S3, Redshift, Glue, and the open table formats (Iceberg, Delta) that have become the new default. Modern architecture decouples storage from compute, supports both analytics and AI/ML workloads, and is governed from day one — so you avoid the "data swamp". Your analysts get faster queries, your engineers get a platform they can extend, and your finance team gets a bill they can predict.

We connect the data you've organized to the dashboards and reports the business actually uses to make decisions — typically on QuickSight, Tableau, or Power BI, depending on how your team already works. Beyond building the visuals, we model the underlying data layer so metrics are defined once and remain consistent everywhere, killing the "whose number is right?" debates that plague most companies. You end up with a single source of truth your leaders can trust.

We build the ingestion, transformation, and orchestration layer that feeds everything downstream — using Glue, Lambda, Step Functions, Airflow, or dbt, matched to your team's skill set rather than ours. Pipelines ship with monitoring, alerting, lineage, and retry logic built in, so a failed upstream API doesn't quietly poison your dashboards three days later. Your data arrives where it needs to, when it needs to, in the shape downstream systems expect.