Amazon AWS DevOps

Information Technology > Cloud computing platforms

Description

Amazon AWS DevOps is a specialized skill set focused on leveraging Amazon Web Services (AWS) to streamline and automate the software development and deployment process. It involves using AWS tools and services to manage infrastructure, deploy applications, monitor performance, and ensure security. Key components include setting up virtual servers (EC2), managing storage (S3), configuring networks (VPC), and automating workflows with tools like AWS Lambda and CloudFormation. AWS DevOps aims to enhance collaboration between development and operations teams, improve deployment speed, and maintain high availability and scalability of applications. This skill is essential for modern cloud-based development environments, ensuring efficient and reliable software delivery.

Stack

AWS

Expected Behaviors

✎

LEVEL 1

Fundamental Awareness

At the fundamental awareness level, individuals are expected to have a basic understanding of AWS infrastructure. They can navigate the AWS Management Console, understand IAM basics, and have a general awareness of AWS pricing and billing structures.

🌱

LEVEL 2

Novice

Novices can perform basic tasks such as creating and managing EC2 instances, setting up S3 buckets, and configuring VPCs. They are familiar with AWS Lambda, CloudWatch for monitoring, and can use the AWS CLI for simple operations. They also understand basic IAM roles and policies.

🌍

LEVEL 3

Intermediate

Intermediate users can manage advanced EC2 configurations, set up RDS databases, and implement complex VPC setups. They are proficient in using CloudFormation templates, AWS CodePipeline for CI/CD, and advanced IAM configurations. They also utilize CloudTrail for auditing and compliance.

⭐

LEVEL 4

Advanced

Advanced practitioners design and implement highly available, fault-tolerant architectures, optimize AWS costs, and enforce advanced security measures. They automate infrastructure with Terraform, manage containerized applications, and implement serverless architectures. They excel in advanced monitoring and disaster recovery planning.

🏆

LEVEL 5

Expert

Experts architect complex multi-region deployments, implement sophisticated DevOps practices, and build large-scale data processing pipelines. They are proficient in machine learning workflows with SageMaker, advanced networking configurations, and leading Well-Architected Framework reviews. They also develop custom AWS SDKs and mentor teams on best practices.

Micro Skills

✎

LEVEL 1

Fundamental Awareness

Understanding AWS regions and availability zones

AWS data centers and their locations

How AWS ensures high availability and fault tolerance

Latency considerations in AWS

Choosing the right region for your resources

Logging into the AWS Management Console

Overview of the AWS Management Console interface

Accessing different AWS services from the console

Using the search bar to find services

Customizing the console dashboard

Creating IAM users

Setting up IAM groups

Assigning policies to users and groups

Understanding IAM roles

Best practices for IAM security

Overview of AWS pricing models

Understanding the AWS Free Tier

Using the AWS Pricing Calculator

Monitoring costs with AWS Cost Explorer

Setting up billing alerts

🌱

LEVEL 2

Novice

Launching an EC2 instance using the AWS Management Console

Connecting to an EC2 instance via SSH

Configuring security groups for EC2 instances

Stopping, starting, and terminating EC2 instances

Creating and attaching EBS volumes to EC2 instances

Creating AMIs from EC2 instances

Creating an S3 bucket

Uploading and managing objects in S3

Setting bucket policies and permissions

Configuring versioning for S3 buckets

Setting up lifecycle policies for S3 objects

Enabling server-side encryption for S3 objects

Creating a VPC using the AWS Management Console

Configuring subnets within a VPC

Setting up route tables and internet gateways

Configuring network ACLs and security groups

Launching instances within a VPC

Setting up VPC peering connections

Creating a basic Lambda function using the AWS Management Console

Configuring triggers for Lambda functions

Writing and deploying Lambda function code

Setting up IAM roles for Lambda functions

Monitoring Lambda function execution with CloudWatch

Managing Lambda function versions and aliases

Setting up CloudWatch alarms

Creating CloudWatch dashboards

Monitoring EC2 instance metrics

Configuring CloudWatch Logs for applications

Setting up CloudWatch Events

Using CloudWatch Insights for log analysis

Creating IAM users and groups

Defining and attaching IAM policies

Setting up IAM roles for AWS services

Configuring multi-factor authentication (MFA)

Managing IAM access keys

Auditing IAM permissions and usage

Installing and configuring the AWS CLI

Using AWS CLI to manage EC2 instances

Managing S3 buckets and objects with AWS CLI

Configuring AWS CLI profiles

Automating tasks with AWS CLI scripts

Using AWS CLI for IAM management

🌍

LEVEL 3

Intermediate

Configuring Auto Scaling groups

Setting up Elastic Load Balancers (ELB)

Implementing EC2 instance health checks

Using EC2 Spot Instances for cost savings

Managing EC2 instance lifecycle (e.g., start, stop, terminate)

Creating and configuring RDS instances

Setting up automated backups and snapshots

Configuring Multi-AZ deployments for high availability

Implementing read replicas for scaling

Monitoring RDS performance metrics

Configuring site-to-site VPN connections

Implementing VPC endpoints for private connectivity

Managing VPC route tables and network ACLs

Configuring NAT gateways for outbound internet access

Writing CloudFormation templates in YAML/JSON

Using CloudFormation Designer for visual template creation

Implementing nested stacks for modular templates

Managing stack updates and rollbacks

Using CloudFormation parameters and outputs

Setting up source repositories with CodeCommit

Configuring build projects with CodeBuild

Implementing deployment stages with CodeDeploy

Integrating third-party tools with CodePipeline

Monitoring and troubleshooting pipeline executions

Creating Lambda functions using the AWS Management Console

Configuring API Gateway endpoints

Setting up Lambda function triggers

Monitoring Lambda function performance and logs

Setting up IAM roles for cross-account access

Implementing IAM policies with least privilege

Using IAM policy conditions for fine-grained access control

Managing IAM users and groups

Auditing IAM activity with CloudTrail

Enabling CloudTrail in all regions

Configuring CloudTrail log delivery to S3

Setting up CloudTrail event selectors

Analyzing CloudTrail logs with Athena

Integrating CloudTrail with CloudWatch for real-time monitoring

⭐

LEVEL 4

Advanced

Implementing multi-AZ deployments for EC2 instances

Configuring Elastic Load Balancers (ELB) for high availability

Setting up Route 53 for DNS failover

Using Auto Scaling groups for fault tolerance

Implementing RDS Multi-AZ deployments

Designing stateless applications for scalability

Using S3 for durable storage

Analyzing cost and usage reports

Setting up AWS Budgets and alerts

Using Reserved Instances and Savings Plans

Implementing cost allocation tags

Optimizing EC2 instance types and sizes

Using AWS Trusted Advisor for cost optimization

Implementing S3 lifecycle policies

Monitoring and optimizing database performance

Configuring AWS Key Management Service (KMS)

Implementing server-side encryption for S3

Setting up VPC security groups and network ACLs

Using AWS WAF and Shield for DDoS protection

Implementing IAM best practices

Enabling CloudTrail for auditing

Using AWS Config for compliance monitoring

Implementing multi-factor authentication (MFA)

Writing Terraform configuration files

Managing state files in Terraform

Creating reusable modules in Terraform

Using CloudFormation StackSets for multi-account deployments

Implementing change sets in CloudFormation

Integrating Terraform with CI/CD pipelines

Using AWS Cloud Development Kit (CDK)

Setting up ECS clusters and services

Configuring task definitions in ECS

Using Fargate for serverless containers

Setting up EKS clusters and node groups

Deploying applications with Kubernetes manifests

Using Helm for package management in Kubernetes

Implementing service discovery in ECS/EKS

Monitoring and logging containerized applications

Writing Lambda functions in Python/Node.js

Configuring API Gateway for Lambda integration

Using Step Functions for orchestration

Implementing event-driven architectures with SNS/SQS

Using DynamoDB with Lambda

Setting up Lambda layers for code reuse

Monitoring Lambda functions with CloudWatch

Implementing error handling and retries in Step Functions

Setting up CloudWatch Alarms and Dashboards

Using CloudWatch Logs for application logging

Implementing custom metrics in CloudWatch

Using AWS X-Ray for distributed tracing

Integrating CloudWatch with third-party tools (e.g., Datadog, Splunk)

Setting up log retention policies

Using CloudWatch Events for automation

Monitoring VPC flow logs

Understanding RTO and RPO requirements

Implementing backup strategies with AWS Backup

Setting up cross-region replication for S3

Using AWS Elastic Disaster Recovery

Implementing pilot light and warm standby architectures

Testing disaster recovery plans

Using Route 53 for DNS failover

Documenting and updating DR plans regularly

🏆

LEVEL 5

Expert

Designing multi-region VPC architectures

Implementing cross-region replication for S3

Configuring Route 53 for global DNS management

Setting up AWS Global Accelerator

Implementing DynamoDB global tables

Managing latency and failover strategies

Ensuring data consistency across regions

Setting up blue-green deployment pipelines with CodePipeline

Configuring canary releases with CodeDeploy

Automating rollback strategies

Monitoring deployment health with CloudWatch

Integrating automated testing in CI/CD pipelines

Using feature flags for controlled rollouts

Implementing infrastructure as code with Terraform

Designing ETL workflows with AWS Glue

Implementing data lakes with S3 and Lake Formation

Using Kinesis for real-time data streaming

Managing data ingestion with AWS Data Pipeline

Optimizing data storage with Redshift

Securing data pipelines with IAM and KMS

Monitoring data pipeline performance

Setting up SageMaker notebooks for data exploration

Training machine learning models with SageMaker

Deploying models using SageMaker endpoints

Automating model training with SageMaker Pipelines

Monitoring model performance with CloudWatch

Integrating SageMaker with other AWS services

Implementing A/B testing for model validation

Setting up AWS Direct Connect connections

Configuring Transit Gateway for centralized routing

Implementing VPC peering across accounts

Managing hybrid cloud networks

Securing network traffic with NACLs and security groups

Optimizing network performance with AWS Global Accelerator

Monitoring network traffic with VPC Flow Logs

Understanding the AWS Well-Architected Framework pillars

Conducting Well-Architected reviews

Identifying architectural best practices

Documenting review findings and recommendations

Implementing improvements based on review outcomes

Using the Well-Architected Tool for assessments

Training teams on Well-Architected principles

Setting up development environments for AWS SDKs

Writing custom SDKs for specific AWS services

Integrating AWS SDKs with third-party applications

Handling authentication and authorization with AWS SDKs

Optimizing SDK performance

Debugging and troubleshooting SDK issues

Documenting custom SDK usage and best practices

Staying updated with the latest AWS features and updates

Skill Overview

Expert4 years experience
Micro-skills212
Roles requiring skill0

Amazon AWS DevOps

Description

Stack

Expected Behaviors

Fundamental Awareness

Novice

Intermediate

Advanced

Expert

Micro Skills

Fundamental Awareness

Novice

Intermediate

Advanced

Expert

Skill Overview

Platform

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