AWS (Amazon Web Services): cloud computing platform. Main services: EC2 (compute), S3 (storage), RDS (database), Lambda (serverless), VPC (networking), IAM (access control), CloudWatch (monitoring). Choose services for your needs (compute, storage, database, etc.).
EC2: scalable virtual machines in cloud. Choose instance type (compute, memory, storage optimized). Select AMI (Amazon Machine Image, OS). Configure security groups (firewall rules), key pairs (SSH access). Launch, connect via SSH. Terminate when done to avoid charges.
S3: object storage service. Buckets: containers for objects (files). Highly available, durable, scalable. Access via API, CLI, console. Permissions: bucket policies, ACLs. Pricing: pay for storage used. Common use: backups, data lakes, website hosting.
Lambda: execute code without managing servers. Pay for compute time used. Supported languages: Python, Node.js, Java, Go, etc. Triggers: API Gateway, S3, DynamoDB, etc. Ideal for: background jobs, APIs, event processing. No server management needed.
RDS: managed relational database service. Supports: MySQL, PostgreSQL, MariaDB, Oracle, SQL Server. Automated backups, multi-AZ for high availability. No patching/maintenance. Scaling: read replicas, storage auto-scaling. Cost efficient for production databases.
VPC: isolated network in AWS cloud. Subnets: divide VPC into segments (public/private). Security groups: instance-level firewall. Network ACLs: subnet-level firewall. Route tables: traffic routing. Internet Gateway: internet access. Best practice: design VPC architecture carefully.
IAM: Identity and Access Management service. Users, groups, roles manage access. Policies: permissions (what actions allowed). Least privilege: grant minimum needed. MFA: multi-factor authentication. Audit: CloudTrail logs IAM activity. Critical for security.
CloudWatch: monitoring service for AWS resources. Metrics: monitor CPU, memory, disk usage. Alarms: alert on threshold breach. Logs: aggregate application logs. Dashboards: visualize metrics. Essential for operational visibility.
Auto Scaling Groups: automatically scale EC2 instances. Launch/terminate based on metrics. Load balancer distributes traffic. Define min/max capacity. Responds to increased load automatically. Cost efficient.
Use IAM roles, not access keys. Enable MFA. Encrypt data in transit and at rest. Regular backups. Monitor resources. Use CloudTrail for audit. Optimize costs: use appropriate instance types, reserved instances. Design for high availability.
AWS Services Overview:
1. EC2 (Elastic Compute Cloud) 👉 Virtual server in the cloud
Used to run backend applications and workloads
2. S3 (Simple Storage Service) 👉 Object storage
Store files, images, videos, backups
3. RDS (Relational Database Service) 👉 Managed database
Supports MySQL, PostgreSQL, MariaDB, Oracle, SQL Server
Automated backups and high availability
4. Lambda 👉 Run code without managing servers (serverless)
Pay only for compute time used
Triggers: API Gateway, S3, DynamoDB, etc.
5. Load Balancer 👉 Distributes traffic across servers
Application Load Balancer (ALB), Network Load Balancer (NLB)
High availability and fault tolerance
IAM (Identity and Access Management) 👉 AWS service used to manage users, permissions, and access control to AWS resources securely. Critical for security and compliance.