AWS Modernization
Containerization, serverless migrations, and event-driven architecture. We move workloads off legacy patterns and onto ECS Fargate, Lambda, and EventBridge — infrastructure that scales without constant babysitting.
The state of most legacy AWS environments
- Bare EC2 instances managed by hand — patches, scaling, and replacements are manual rituals
- Synchronous polling and tight coupling — one slow downstream system stalls everything
- Auto-scaling is "more EC2 instances" — instead of architecture that scales horizontally by design
- Costs scale linearly with traffic — no commitment strategy, no spot strategy, no right-sizing discipline
- Deploys are scary because the architecture isn't designed for rolling change
- "It works" — but only because the team has carefully avoided changing it
Modernization is not a rewrite
Most modernization initiatives die because the team scoped a "big-bang" replacement that's impossible to deliver. We rebuild one workload or pattern at a time, with the legacy system still running until the new path is proven.
No 12-month rewrites. No "we'll cut over next quarter" plans that never happen. Iterative, reversible, measurable.
Infrastructure that holds up at scale
- Container lift-and-shift or full re-architecture (ECS, EKS, Fargate)
- Serverless migration — Lambda, Step Functions, EventBridge
- Event-driven patterns replacing synchronous polling
- Infrastructure as code — Terraform or CDK
- WAF-aligned architecture review at every milestone
- Team enablement so your engineers own it after handoff
Target Patterns
Iterative delivery, not big-bang rewrites
Architecture Baseline
We document your current state, identify the highest-value modernization targets, and score them by effort vs. impact.
Phased Migration
Work happens in 2-week sprints. We migrate one workload or pattern at a time — always with a rollback plan at every step.
WAF Review at Milestone
After each phase, we run a focused WAF review to validate the new architecture before moving to the next workload.
Handoff & Enablement
All IaC is committed to your repos. Your team gets runbooks, architecture diagrams, and a full knowledge transfer session.
What you walk away with
- Workloads on AWS-native primitives — ECS Fargate, Lambda, EventBridge — sized for actual traffic, not feared peaks
- Infrastructure as code committed to your repos — Terraform or CDK, your choice
- Event-driven patterns replacing synchronous polling — fewer failure modes, predictable backpressure
- Runbooks and architecture diagrams that match the system you're actually running
- A team that can extend and operate the new architecture — not a permanent dependency on us
- A WAF-aligned post-modernization review confirming the new architecture holds up across all six pillars
Still running bare VMs on AWS?
Let's map out a modernization path that doesn't require a full rewrite. One workload at a time, with rollback plans built in.
Start a ConversationFrequently asked questions
What counts as modernization — do we have to rewrite everything?
No. Modernization is a spectrum: containerizing what you have, moving batch jobs to Lambda, replacing self-managed databases with RDS or DynamoDB, decoupling with EventBridge and SQS. We pick the cheapest change that removes the most operational load — full rewrites are the last resort, not the plan.
Containers or serverless — how do you choose?
By workload shape, not fashion. Long-running services with steady traffic usually fit ECS Fargate; spiky, event-driven, or scheduled work usually fits Lambda. Most estates end up with both, and the decision is made per workload with your team in the room.
Will modernization break production?
The process is built so any failure is small, contained, and reversible: one workload or pattern at a time, two-week increments, the legacy path kept running until the new path is proven, and a tested rollback at every step. No big-bang cutovers.
How long does a modernization engagement run?
Scoped per workload group after the baseline review. A single service containerization can land inside a two-week sprint; a monolith decomposition runs across several increments — you see working infrastructure at every step, not a plan that pays off at the end.
Our team has never run Kubernetes or Fargate — will we be able to operate this?
That is a scoping input, not an afterthought. We bias the target architecture toward what your team can own — often that means Fargate over EKS — and every engagement ends with runbooks, documentation, and a knowledge-transfer session.
What does it cost?
Fixed scope and fixed price per phase, set after the architecture baseline. If we think modernizing a workload is not worth its cost, we say so in the baseline — that is the point of doing it first.
Related: Well-Architected Review · AWS Migration · DevOps & CI/CD