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You Should Know:
To stand out in AWS interviews or resumes, practical project experience is crucial. Below are verified commands, codes, and steps for key AWS services mentioned in the post:
- Web Hosting Projects (S3, EC2, Lightsail, ALB, Auto Scaling)
– S3 Static Website Hosting:
aws s3 cp ./my-website s3://my-bucket --recursive aws s3 website s3://my-bucket --index-document index.html
– Launching an EC2 Instance:
aws ec2 run-instances --image-id ami-0abcdef1234567890 --instance-type t2.micro --key-name MyKeyPair
– Auto Scaling CLI Setup:
aws autoscaling create-auto-scaling-group --auto-scaling-group-name MyASG --launch-configuration-name MyLC --min-size 2 --max-size 5 --vpc-zone-identifier "subnet-123456"
- Serverless & SaaS Apps (Lambda, API Gateway, Cognito)
– Deploying a Lambda Function:
aws lambda create-function --function-name MyFunction --runtime python3.8 --handler lambda_function.lambda_handler --zip-file fileb://function.zip --role arn:aws:iam::123456789012:role/lambda-role
– Creating a REST API with API Gateway:
aws apigateway create-rest-api --name MyAPI
3. Infrastructure as Code (Terraform, CloudFormation, CDK)
- CloudFormation Stack Deployment:
aws cloudformation create-stack --stack-name MyStack --template-body file://template.yaml
- Terraform Init & Apply:
terraform init terraform apply -auto-approve
4. Security & IAM Best Practices
- Creating an IAM Policy:
aws iam create-policy --policy-name MyPolicy --policy-document file://policy.json
- Enabling AWS WAF Rules:
aws wafv2 create-web-acl --name MyWebACL --scope REGIONAL --default-action Allow --visibility-config SampledRequestsEnabled=true
5. CI/CD Pipelines (CodePipeline, GitHub Actions, Jenkins)
- Starting a CodePipeline:
aws codepipeline create-pipeline --cli-input-json file://pipeline.json
- Jenkins AWS CLI Integration:
aws configure --profile jenkins
6. DevOps & Monitoring (CloudWatch, Self-Healing)
- CloudWatch Alarm for CPU Usage:
aws cloudwatch put-metric-alarm --alarm-name HighCPU --metric-name CPUUtilization --namespace AWS/EC2 --statistic Average --period 300 --threshold 80 --comparison-operator GreaterThanThreshold
7. Data & Analytics (Athena, Redshift, Glue)
- Querying Data with Athena:
aws athena start-query-execution --query-string "SELECT FROM my_table" --result-configuration OutputLocation=s3://my-results/
8. AI/ML & IoT (Lex, Rekognition, IoT Core)
- Detecting Objects with Rekognition:
aws rekognition detect-labels --image S3Object={Bucket=my-bucket,Name=photo.jpg}
What Undercode Say:
Mastering AWS requires hands-on practice. Use these commands to automate deployments, secure environments, and optimize cloud workflows. Combine them with real projects to showcase expertise.
Prediction:
As cloud adoption grows, demand for AWS professionals with practical project experience will surge. Focus on automation (Terraform/CDK) and security (IAM/WAF) to stay ahead.
Expected Output:
- AWS CLI commands executed successfully.
- Terraform/CDK stacks deployed.
- CloudWatch alarms triggered.
- Lambda functions invoked via API Gateway.
Relevant URLs:
IT/Security Reporter URL:
Reported By: Emmanuel Oluyemi – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
