You add a todo · EC2 + RDS MySQL
9 steps from your browser to the database and back. Then a background job finishes the work.
Text version of this diagram.
What sits where:
- AWS Region · us-east-1: A Region is a part of the world where AWS has data centers. Most things you build live in one Region. us-east-1 is in northern Virginia. contains:
- VPC: Virtual private cloud: your own private network inside AWS. Nothing gets in or out except the ways you allow. contains:
- Public subnet · to IGW: A slice of the VPC that can reach the internet directly, through the internet gateway (IGW). contains:
- EC2 instance (runs the web app): A virtual server you rent from AWS. You pick its size and operating system, and you look after it.
- Private subnet · no internet: A slice of the VPC with no route to the internet at all. Nothing here can be reached from outside. contains:
- RDS MySQL (database: todoio): A MySQL database that AWS runs for you, including the server, patches and backups. todoio is the database's name.
- ENI (worker's network card): Elastic network interface: a virtual network card. It gives the worker an address inside your VPC.
- Internet gateway (the VPC's door): The door between a VPC and the internet. Without one, nothing in the VPC can talk to the internet directly.
- Public subnet · to IGW: A slice of the VPC that can reach the internet directly, through the internet gateway (IGW). contains:
- CloudWatch Logs (app log lines): Collects the lines your app writes about what it's doing (its logs), so you can search them later.
- Worker Lambda (updates monthly stats): A second Lambda function that does slow work in the background, taking jobs off the queue.
- SQS queue (todo-events): Simple Queue Service: a waiting line for messages. One part of the app drops a job in; another picks it up later.
- Dead-letter queue (todo-events-dlq): A dead-letter queue: where a message goes after failing several times, so someone can look at it instead of it being retried forever.
- VPC: Virtual private cloud: your own private network inside AWS. Nothing gets in or out except the ways you allow. contains:
- Your browser (on the internet)
Steps, in order:
- You add a todo. Path: Your browser. Your browser sends POST /todos over HTTPS.
- Into the VPC. Path: Your browser → Internet gateway. todo.io points at the instance's public IP, so the request comes in through the VPC's internet gateway. The public IP changes if the instance is stopped and started (an Elastic IP stays put), so the DNS record has to follow it. In Level 2 todo.io points at a load balancer's DNS name instead, which never changes.
- Through the firewall. Path: Internet gateway → EC2 instance. The security group around the instance allows HTTPS on port 443, so the request reaches the web server. Checks: security-group: todo-app-sg: TCP 443 from 0.0.0.0/0 → allow.
- Who are you?. Path: EC2 instance. The app checks your signed session cookie and finds your user id, u-123. This is the app's own login, not AWS.
- Ask the database. Path: EC2 instance → RDS MySQL. The app sends SQL to RDS MySQL in the private subnet on port 3306. It logs in with a database username and password, not with IAM. Checks: security-group: todo-db-sg: TCP 3306 from todo-app-sg → allow; mysql: MySQL user todo_app: INSERT on todoio.todos → allow.
- The database answers. Path: RDS MySQL → EC2 instance. MySQL says: 1 row inserted, new id 42.
- Drop a job in the queue. Path: EC2 instance → Internet gateway → SQS queue. The app sends a message to an SQS queue saying a todo was created, instead of doing the slow work now. Checks: iam: todo-app-ec2-role: sqs:SendMessage on todo-events → allow.
- Back to you. Path: EC2 instance → Internet gateway → Your browser. You get 201 Created, and "Buy milk" appears in your list.
- Leave a note. Path: EC2 instance → Internet gateway → CloudWatch Logs. The app's log line goes to CloudWatch Logs so Todo.io's engineers can see what happened. Like SQS, it's a public AWS service, so it leaves through the internet gateway.
- The worker picks it up. Path: SQS queue → Worker Lambda. Lambda keeps polling the queue for you and runs the worker function with the new message. Checks: iam: todo-worker-role: sqs:ReceiveMessage, sqs:DeleteMessage → allow.
- Save the result. Path: Worker Lambda → ENI → RDS MySQL. The worker adds 1 to your monthly stats in RDS MySQL. It's attached to the VPC too, with its own ENI in the private subnet. Checks: security-group: todo-db-sg: TCP 3306 from todo-worker-sg → allow; mysql: MySQL user todo_worker: INSERT, UPDATE on todoio.user_stats → allow.
- Job done. Path: Worker Lambda → SQS queue. The worker returns without an error, so the Lambda service deletes the message from the queue. Your code never deletes it.
- If the worker keeps failing. Path: SQS queue → Dead-letter queue. If the worker fails on the same message 3 times, SQS moves it to a dead-letter queue. It isn't lost, and it stops being retried forever.
Your browser sends
POST /todosover HTTPS.Show me the real thing
The HTTP request
POST /todos HTTP/1.1 Host: todo.io Cookie: session=eyJ1c2VySWQiOiJ1LTEyMyJ9.Zm9v Content-Type: application/json {"title":"Buy milk"}todo.io points at the instance's public IP, so the request comes in through the VPC's internet gateway. The public IP changes if the instance is stopped and started (an Elastic IP stays put), so the DNS record has to follow it. In Level 2 todo.io points at a load balancer's DNS name instead, which never changes.
Exam tipA subnet is "public" only because its route table sends 0.0.0.0/0 to an internet gateway. Nothing else makes it public.
The security group around the instance allows HTTPS on port 443, so the request reaches the web server.
- 🛡Security group todo-app-sg: TCP 443 from 0.0.0.0/0Allowed
Show me the real thing
Inbound rules on todo-app-sg
Type Protocol Port Source HTTPS TCP 443 0.0.0.0/0Exam tipThe classic way to do HTTPS is a free AWS Certificate Manager (ACM) certificate on a load balancer or CloudFront (Level 2). Since 2025 ACM can also sell you an exportable certificate to install on the instance or container itself.
The app checks your signed session cookie and finds your user id,
u-123. This is the app's own login, not AWS.The app sends SQL to RDS MySQL in the private subnet on port 3306. It logs in with a database username and password, not with IAM.
- 🛡Security group todo-db-sg: TCP 3306 from todo-app-sgAllowed
- 🗄MySQL MySQL user todo_app: INSERT on todoio.todosAllowed
Show me the real thing
The SQL (real code sends the values as parameters, never pasted into the string)
INSERT INTO todos (user_id, title, done) VALUES ('u-123', 'Buy milk', false);Exam tipA security group rule can use another security group as its source: "anything wearing todo-app-sg may connect". Exam favourite.
MySQL says: 1 row inserted, new id 42.
The app sends a message to an SQS queue saying a todo was created, instead of doing the slow work now.
- 🔑IAM todo-app-ec2-role: sqs:SendMessage on todo-eventsAllowed
Show me the real thing
SendMessage request
{ "QueueUrl": "https://sqs.us-east-1.amazonaws.com/111122223333/todo-events", "MessageBody": "{\"type\":\"todo.created\",\"userId\":\"u-123\",\"todoId\":\"42\"}" }Exam tipA queue decouples the app from the worker. If the worker is slow or broken, messages simply wait (up to 14 days).
You get
201 Created, and "Buy milk" appears in your list.Show me the real thing
The HTTP response
HTTP/1.1 201 CreatedExam tipSecurity groups are stateful: a reply to an allowed request goes back out automatically. No outbound rule needed for it.
The app's log line goes to CloudWatch Logs so Todo.io's engineers can see what happened. Like SQS, it's a public AWS service, so it leaves through the internet gateway.
Show me the real thing
The log line
2026-10-11T18:42:07Z INFO POST /todos user=u-123 status=201 14msExam tipEC2 doesn't send logs by itself. You install the CloudWatch agent and give the instance role permission to write logs.
Lambda keeps polling the queue for you and runs the worker function with the new message.
- 🔑IAM todo-worker-role: sqs:ReceiveMessage, sqs:DeleteMessageAllowed
Show me the real thing
The event the worker receives (trimmed)
{ "Records": [ { "messageId": "19dd0b57-b21e-4ac1", "eventSource": "aws:sqs", "eventSourceARN": "arn:aws:sqs:us-east-1:111122223333:todo-events", "body": "{\"type\":\"todo.created\",\"userId\":\"u-123\",\"todoId\":\"42\"}" } ] }Exam tipSQS never pushes. Lambda polls it for you (an "event source mapping"). Set the queue's visibility timeout to at least 6× the function's timeout.
The worker adds 1 to your monthly stats in RDS MySQL. It's attached to the VPC too, with its own ENI in the private subnet.
- 🛡Security group todo-db-sg: TCP 3306 from todo-worker-sgAllowed
- 🗄MySQL MySQL user todo_worker: INSERT, UPDATE on todoio.user_statsAllowed
Show me the real thing
The SQL
INSERT INTO user_stats (user_id, month, created) VALUES ('u-123', '2026-10', 1) ON DUPLICATE KEY UPDATE created = created + 1;Exam tipStandard queues deliver at least once, so the same message can arrive twice and count your todo twice. Real workers are idempotent: they record each message id and skip repeats.
The worker returns without an error, so the Lambda service deletes the message from the queue. Your code never deletes it.
Exam tipIf the worker throws, the message isn't deleted. It becomes visible again after the visibility timeout and is retried.
If the worker fails on the same message 3 times, SQS moves it to a dead-letter queue. It isn't lost, and it stops being retried forever.
Show me the real thing
Redrive policy on todo-events
{ "deadLetterTargetArn": "arn:aws:sqs:us-east-1:111122223333:todo-events-dlq", "maxReceiveCount": 3 }Exam tipA dead-letter queue must be the same type as its source queue: a FIFO queue needs a FIFO DLQ.
What to notice
- You run the server. Patching, scaling and the HTTPS certificate are your job. One instance in one Availability Zone is a single point of failure (Level 2 adds a load balancer and a second AZ).
- IAM never checked your SQL. MySQL has its own users; IAM only manages the database server itself.
- The database sits in a private subnet with no route to the internet. Only the security groups you allowed can reach it.
- The database password lives in the app config here. In production it belongs in Secrets Manager (Level 1).
- You got your answer before the job ran. The queue lets slow work happen later without making you wait.
- If the worker breaks, messages wait in the queue, and after 3 failures they land in the DLQ. Nothing is lost.
- You, the customer, were never an IAM user. IAM controls the app, not its customers.