Edenic Case Study

49 Microservices on AWS ECS Fargate

Monolith → microservices with blue/green deploys, unified observability, and 45% lower AWS spend.

Client
VC-backed SaaS platform
Project
Monolith → 49 ECS microservices
Timeline
10-week rollout
Deploys
<10 min via Fargate blue/green
CI/CD
GitHub Actions → ECR → CodeDeploy
Cost
-45% AWS spend
Context

Executive summary

The SaaS platform hit a scaling wall on a monolith. Edenic decomposed the stack, rebuilt CI/CD, and shipped a zero-downtime ECS platform.

-49 services containerized and deployed across staging and production with blue/green.
-Deploys dropped from two hours of manual steps to <10 minutes with automated rollback.
-Observability unified across logs, traces, and alerts; spend reduced by 45%.
What changed

Target architecture snapshot

The platform moves from a single EC2-heavy monolith to Fargate-backed microservices.

Component → Target solution
ComputeECS Fargate clusters per stage
RoutingALB routing across 49 target groups
CI/CDGitHub Actions → ECR → CodeDeploy
DiscoveryCloud Map for service discovery
SecretsAWS Secrets Manager
ObservabilityCloudWatch + X-Ray + OpenSearch
CutoverBlue/green with 10% canary → DNS flip
Before

Core challenges

Why the monolith had to move.

-Monolith throttled feature velocity and ballooned EC2 bills
-Manual, fragile playbooks burned two hours every deploy
-Logs and traces scattered—blind spots everywhere
-No safe rollback path; deployments risked downtime
Intent

Migration goals

The outcomes the team aligned on.

-Carve the monolith into deploy-once, scale-independent services
-Wire bulletproof CI/CD with one-click rollback
-Centralize observability—logs, metrics, traces in one pane
-Slash spend without capping growth
Execution

Phased delivery

A structured path to de-risk cutover and standardize every service.

Phase 1 - Audit & Architecture

-Health-check of legacy infra and dependencies
-Cutover plan with rollback paths and DNS strategy
-Service decomposition and target contracts defined

Phase 2 - Platform Build

-ECS Fargate clusters per environment
-ALB, target groups, and path-based routing stood up
-Cloud Map service discovery and Secrets Manager wiring

Phase 3 - CI/CD & Containerization

-Dockerized 49 services in parallel
-GitHub Actions templates for build/test/push to ECR
-CodeDeploy blue/green deployments with auto-rollback

Phase 4 - Observability & Hardening

-CloudWatch metrics, logs, and alerts standardized
-X-Ray tracing and OpenSearch for distributed logging
-Runbooks for new services and on-call playbooks

Phase 5 - Cutover & Handover

-10% canary, health checks, then DNS flip
-Post-cutover telemetry review with stakeholders
-Operational handoff and training for internal team
Impact

Operational metrics

Measured before/after shifts tied to the migration.

Deploy time
Before: ≈2 h
After: <10 min
12× faster
Ship frequency
Before: 1–2 / week
After: Daily
7× increase
Downtime / deploy
Before: 5–10 min
After: 0 min
100% reduction
Service spin-up
Before: ≈3 days
After: <30 min
144× faster
Cloud spend
Before: Heavy EC2
After: -45%
45% reduction

Metrics reflect production after stabilization; safe for public distribution.

Outcome

Value delivered

What the business and engineering teams gained.

Velocity & Reliability

-Same-day feature flags unlocked rapid A/B tests
-Blue/green deploys with auto-rollback guards
-Zero-downtime releases and predictable cutovers

Cost & Scale

-45% OpEx reduction after moving to Fargate
-Autoscaling absorbs traffic spikes without cost spikes
-Service-level scaling decoupled from the monolith

Operational Clarity

-Unified logs, traces, and alerts for every service
-Runbook for launching a new service in <30 minutes
-Board-ready metrics for deploy frequency and stability
Tooling

Technology stack

The services and patterns behind the platform.

ECS FargateApplication Load BalancerGitHub ActionsAmazon ECRAWS CodeDeployAWS Cloud MapAWS Secrets ManagerAmazon CloudWatchAWS X-RayAmazon OpenSearch
Snapshot

Engagement facts

Quick reference details.

Client
VC-backed SaaS platform
Project
Monolith → 49 ECS microservices
Timeline
10-week rollout
Deploys
<10 min via Fargate blue/green
CI/CD
GitHub Actions → ECR → CodeDeploy
Cost
-45% AWS spend

Want this level of migration for your platform?

Edenic helps teams break apart monoliths, standardize CI/CD, and ship resilient microservices platforms with clear observability and rollback paths.

Typical engagement includes assessment, target architecture, phased migration, CI/CD standardization, and cutover/rollback planning.
Ask for an Edenic migration blueprint tailored to your current AWS footprint.