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Joseph Ndambombi Honpah shares a robust AWS API architecture combining API Gateway, VPC Link, ALB, and Fargate to handle traffic spikes securely. The setup reduces latency by 40%, eliminates EC2 management overhead, and cuts AWS costs while scaling to 3x traffic.
You Should Know:
1. Key AWS Commands & Setup
API Gateway + VPC Link Configuration
Create VPC Link (AWS CLI) aws apigateway create-vpc-link \ --name "MyVPCLink" \ --target-arns "arn:aws:elasticloadbalancing:region:account-id:loadbalancer/app/my-alb/1234567890" \ --region us-east-1
Deploy Fargate Service
Register Task Definition
aws ecs register-task-definition \
--family "api-task" \
--network-mode "awsvpc" \
--execution-role-arn "arn:aws:iam::account-id:role/ecsTaskExecutionRole" \
--container-definitions '[{"name":"api-container","image":"account-id.dkr.ecr.region.amazonaws.com/api-image:latest","portMappings":[{"containerPort":8080,"hostPort":8080}]}]'
Create Fargate Service
aws ecs create-service \
--cluster "api-cluster" \
--service-name "api-service" \
--task-definition "api-task" \
--desired-count 2 \
--launch-type "FARGATE" \
--network-configuration "awsvpcConfiguration={subnets=[subnet-12345,subnet-67890],securityGroups=[sg-12345],assignPublicIp=DISABLED}"
2. ALB Health Checks
Configure ALB Health Check aws elbv2 modify-target-group \ --target-group-arn "arn:aws:elasticloadbalancing:region:account-id:targetgroup/api-tg/1234567890" \ --health-check-path "/health" \ --health-check-interval-seconds 30
3. Cost Optimization (Avoiding NAT Gateway)
Use VPC Endpoints for S3/DynamoDB to bypass NAT aws ec2 create-vpc-endpoint \ --vpc-id "vpc-12345" \ --service-name "com.amazonaws.region.s3" \ --route-table-ids "rtb-12345"
4. Monitoring (CloudWatch Metrics)
Get API Gateway Metrics aws cloudwatch get-metric-statistics \ --namespace "AWS/ApiGateway" \ --metric-name "Latency" \ --dimensions "Name=ApiName,Value=MyApiGateway" \ --start-time "2025-06-01T00:00:00Z" \ --end-time "2025-06-04T00:00:00Z" \ --period 3600 \ --statistics "Average"
5. Auto-Scaling Fargate
Configure Auto-Scaling Policy
aws application-autoscaling register-scalable-target \
--service-namespace "ecs" \
--resource-id "service/api-cluster/api-service" \
--scalable-dimension "ecs:service:DesiredCount" \
--min-capacity 2 \
--max-capacity 10
aws application-autoscaling put-scaling-policy \
--policy-name "cpu-scale-policy" \
--service-namespace "ecs" \
--resource-id "service/api-cluster/api-service" \
--scalable-dimension "ecs:service:DesiredCount" \
--policy-type "TargetTrackingScaling" \
--target-tracking-configuration "TargetValue=70,PredefinedMetricSpecification={PredefinedMetricType=ECSServiceAverageCPUUtilization}"
What Undercode Say
This architecture demonstrates how to replace legacy EC2 setups with serverless-friendly AWS services. Key takeaways:
– VPC Links > NAT Gateways for private API traffic.
– Fargate reduces operational overhead vs. EC2.
– ALB + API Gateway simplifies scaling and security.
– Cost control via VPC endpoints and auto-scaling policies.
Expected Output:
A scalable, low-latency API architecture with reduced AWS costs and minimal maintenance.
Prediction:
More enterprises will adopt hybrid serverless/container architectures to balance cost, scalability, and security—especially for APIs.
Relevant URLs:
IT/Security Reporter URL:
Reported By: Joseph Ndambombi – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
