VeUP
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Financial Services · Blue/green ECS platform
Boogi wordmark

Fintech scale-up remediates Well-Architected risk on a multi-account AWS Org

Well-Architected ReviewAdvisoryHigh-risk-issue remediation roadmapBlast-radius & tenancy isolation reviewTarget-state architecture design & costed POCManaged billing & resellMulti-account segmentationPrivate connectivity & network isolationInfrastructure-as-code foundationCI/CD delivery pipeline automationInfrastructure observability
>97.5%
monthly uptime SLA, with sub-1,000ms average response
Raise-ready
a security posture built for investor scrutiny
Blast radius
contained — one account and VPC per environment
Amazon ECSAmazon ECRAWS PrivateLinkAWS WAF

At the center of Boogi’s remediated AWS estate sits the container platform VeUP hardened: Amazon ECS running the majority of the application workload with hardened images from Amazon ECR, service auto scaling, and blue/green task deployments with automated rollback — engineered against explicit production SLAs for uptime, responsiveness, error rate, and redeploy speed.

The challenge

Boogi’s financial-services platform was scaling faster than its container operations. A Well-Architected Review had surfaced High-Risk Items across Security, Cost Optimization, and Operational Excellence — and the container tier concentrated several of them: images without a hardening pipeline, deployments that put releases at risk of downtime, capacity that didn’t track demand, and a data-tier connection that deserved private networking. For a fintech that must evidence reliability to customers and investors alike, “the containers mostly behave” had to become an SLA-bound platform.

The solution

VeUP delivered the remediation hands-on, with Amazon ECS as the platform spine. Container images are hardened and versioned through Amazon ECR; ECS services run with auto scaling and AZ-spread task placement behind an Application Load Balancer whose health checks remove unhealthy tasks automatically; releases go out as blue/green task deployments with automated rollback, making a full redeploy a routine, sub-hour operation instead of an event. The platform sits inside the re-architected multi-account AWS Organization with per-environment VPC isolation and least-privilege IAM, reaches its MongoDB Atlas data tier over AWS PrivateLink rather than the public internet, and fronts traffic through AWS WAF. CloudTrail, VPC Flow Logs, and Amazon CloudWatch — with distributed tracing for latency hotspots — give the SLAs their measurement plane.

Production outcomes

KPIResult
AvailabilityMonthly uptime target above 97.5% engineered via auto scaling, AZ-spread placement, and blue/green releases — with CloudWatch keeping score in production.
ResponsivenessAverage response under 1,000 ms and 5xx error rate under 0.5% as the platform’s SLA targets, backed by right-sized task CPU/memory and demand-driven scaling.
Release & recovery speedFull redeploy under one hour via pipeline-driven blue/green deployments with automated rollback — deployment risk converted into a measured, repeatable operation.
Lessons & continuationFor a regulated scale-up, the container platform is where Well-Architected findings become fixable engineering: hardened images, blue/green releases, and private data paths turn a risk register into an SLA-bound platform the business can put in front of investors.
AWS services in production
Amazon ECSAmazon ECRAWS FargateAWS PrivateLinkApplication Load BalancerAWS WAFAmazon VPCVPC Flow LogsAWS CloudTrailAmazon CloudWatchAWS IAMAWS KMSAWS Organizations
Integrations
MongoDB Atlas