Application modernization on AWS without the big-bang rewrite. We take legacy applications off end-of-life runtimes and hand-managed servers, containerise them on ECS, and move self-managed databases onto RDS and Aurora — assessment first, one workload at a time, with a rollback point before any traffic shifts. AWS Advanced Tier Partner, founder-led on every engagement.
The modernization stack we ship on.
Legacy application modernization is rarely about fashion. In practice, engagements start because one of these four pressures has become urgent — and usually more than one at once.
Unsupported language runtimes, container base images, and operating systems stop getting security patches. That turns a working application into an audit finding and a breach risk overnight. Replatforming onto supported, patched images and keeping database engines on AWS-maintained versions closes the gap — and makes the next upgrade routine instead of a fire drill.
ISO 27001, SOC 2, and sector regimes expect least-privilege access, secrets kept out of environment variables, change control, and logging you can prove. Legacy stacks rarely produce that evidence cleanly. Modernizing onto managed AWS services — IAM roles per service, Secrets Manager, CloudWatch, audited CI/CD — builds the paper trail into the architecture. We hold ISO 27001:2022 ourselves, so we build to the standard we operate under.
Always-on servers, over-provisioned databases, and idle capacity quietly inflate the monthly spend. Modernizing lets you schedule non-production compute, right-size the data layer, and use container platforms that scale to real demand. On a Windows engagement we scheduled EC2 with Lambda and EventBridge and right-sized RDS — cost down, zero downtime. Deeper cost work runs under our AWS cost optimization practice.
When every release is a manual, high-stakes event, the business stops shipping. Containerising the application and rebuilding CI/CD for automated, one-command deploys with rollback turns releases into a non-event. Teams move faster and sleep better. This is where a monolith to microservices on AWS conversation genuinely earns its complexity — but only where a real seam exists.
AWS frames modernization as seven paths — the 7 Rs. In the assessment we tag each application with one. Here is the honest split: three we deliver hands-on, and four where our job is to advise, not to invoice a rebuild you do not need.
We never quote a rebuild blind. The first engagement is a fixed-scope assessment: we inventory the applications, tag each against the 7 Rs, surface the end-of-life and compliance risks, baseline the cost, and hand you a prioritised, sequenced plan you own — whether or not you continue with us.
It is deliberately small and deliberately honest. If the finding is that two apps should be retired and one left alone, that is what the report says. The plan is what turns “we should modernise” into a costed, phased roadmap with a clear first workload.
Scope your assessment →A repeatable, low-risk route we have run in production: containerise first, extract services only where they earn it. It all runs on our ECS and containerization practices, under the wider AWS migration service.
Before anything is split, the existing application gets a Dockerfile, a task definition, and a home on ECS behind a load balancer. The monolith in a container is a legitimate destination — it removes host management, standardises deploys, and buys you a stable base to change from.
CI/CD is rebuilt for container deploys: GitHub Actions with OIDC federation into AWS (no long-lived keys), image builds to ECR with lifecycle policies, and rolling or blue-green rollouts with one-command rollback. Releases stop being high-stakes events and start being routine.
Only now do we consider the strangler pattern: peel one bounded capability off the monolith at a time, run it as its own ECS service behind the same load balancer, prove it in production, then continue. Services get created for real seams and real reasons — never for a diagram.
The database is almost always the critical path in a modernization. We move self-managed engines onto managed AWS services, right-size them to real demand, and cut over without downtime — snapshots taken before every change.
Databases running on hand-patched EC2 instances or on-prem servers move onto Amazon RDS: automated backups, Multi-AZ failover, managed patching, and engine versions AWS keeps current. That removes an entire category of undifferentiated maintenance and closes EOL exposure on the data tier.
Where throughput, read scaling, or resilience justify it, we move to Amazon Aurora — MySQL- and PostgreSQL-compatible, with storage that scales automatically and fast replica-based failover. It is the step up from RDS for workloads that have outgrown a single-instance database but do not need a rewrite to get there.
The cutover technique that keeps you online: a synchronised green copy runs beside the live blue database, we validate it, then switch with a short, controlled flip. On a Windows workloads engagement we right-sized an over-provisioned database to a db.t4g.medium instance with reduced storage this way — zero downtime, zero data loss.
Modernization is a chance to stop paying for a database sized for a peak that never comes. We match instance class and storage to the real workload — one engagement consolidated and migrated databases as part of an ECS redesign that cut AWS cost 20–35% without slowing the team down.
Windows and .NET workloads do not always need a rewrite to move forward. Often the fastest, safest wins are operational — schedule what runs, right-size what stores — before any containerisation of the application layer.
For a US HR company running Windows workloads on AWS, we cut cost by scheduling EC2 instances with AWS Lambda and Amazon EventBridge so servers ran only during business hours, and right-sized the RDS database via blue-green deployment — zero downtime, zero data loss.
The pragmatic order for Windows: automate start/stop and right-size the data layer to stop the bleeding immediately, keep IAM least-privilege and snapshots as the safety net, then containerise the .NET application onto ECS when the roadmap justifies deeper modernization.
Every change on that engagement was backed by pre-migration snapshots, least-privilege IAM roles, and CloudWatch monitoring to confirm stable performance afterward. Modernization work slots straight into the evidence trail an ISO 27001 or SOC 2 audit expects.
The AWS Migration Acceleration Program (MAP) is a real program that can offset part of the cost of qualifying migration and modernization projects. Here is the honest version of how it works and where we fit.
Don't see your question? Book a 30-minute review and ask the founder directly.
Book a call →Whether it's an end-of-life runtime, a database you cannot patch, a monolith that has become slow to ship, or a bill that keeps climbing — start with a free modernization review directly with the founder. You leave with at least one concrete next step, whether or not you engage us.
★ AWS Advanced Tier Services Partner · ISO 27001:2022 · Assessment-First, Founder-Led
