AWS DevOps comprises a philosophy and a set of powerful tools that integrate software development processes (Dev) with IT operations (Ops). The goal is to speed up software delivery cycles, increase reliability, and ensure continuous improvements.
Services
- Code Management:
- AWS CodeCommit: Git-based, highly scalable source code repository service.
- AWS CodeArtifact: Secure artifact repository service for managing software packages.
- Build and Test:
- AWS CodeBuild: A fully-managed build service for compiling code, running tests, and creating deployable packages.
- Deployment:
- AWS CodeDeploy: Automated service for deploying to EC2 instances, on-premises servers, serverless Lambda functions, and containers.
- AWS Elastic Beanstalk: Easy deployment and scaling of web apps and services (supports many languages/frameworks).
- AWS CodePipeline: Continuous delivery service for orchestrating build, test, and deployment stages.
- Monitoring and Logging:
- Amazon CloudWatch: Observe metrics, set alarms, and analyze logs from AWS resources and applications.
- AWS X-Ray: Debug distributed applications, including those built using microservices.
Deployment Options
- Blue/Green Deployments: Reduce downtime by having two parallel environments; traffic is progressively routed to the new version.
- Canary Deployments: Roll out changes to a small subset of users before deploying to the entire production environment.
- A/B Testing: Experiment with different features by exposing variations to different groups of users.
Feature Differences
Services often have features that set them apart. Be sure to research options fully. Examples:
- CodeDeploy vs. Elastic Beanstalk: CodeDeploy allows granular control over the deployment process, while Beanstalk provides greater ease-of-use for web applications.
- CloudWatch vs. X-Ray: CloudWatch is used for basic infrastructure monitoring; X-Ray specializes in tracing requests through distributed microservices.
Compute Required
AWS DevOps emphasizes flexibility:
- EC2 instances: Varied sizes and configurations match your workload needs.
- Serverless (Lambda): Focus on code, let AWS handle hardware provisioning.
- Containers (ECS, EKS): Package applications and environments for portability.
Purchasing Tiers
- On-Demand: Pay per hour/second of usage. Flexibility but highest potential cost.
- Reserved Instances: Reduced cost, commitment for 1-3 years provides discounts.
- Spot Instances: Great for interruptible workloads at the lowest prices.
Service Tiers
- Free Tier: Many services offer limited usage for free, great for exploration.
- Standard: Normal usage pattern pricing.
- Support Tiers (Developer, Business, Enterprise): Increasing costs but faster response times and proactive help from AWS support.
Capacity
- Auto Scaling: Services can scale resources up/down based on demand. Essential for handling unpredictable workloads.
Client Tools
- AWS CLI: Powerful command-line interface for interacting with AWS resources.
- AWS SDKs: Available for popular programming languages (Python, Java, etc.) for programmatic control.
- AWS Console: Web-based management interface.
Cost Optimization
- Resource Right-Sizing: Match instance types and sizes to actual workloads.
- Spot Instances: Leverage spare capacity for cost-sensitive workloads.
- Reserved Instances: If workload is predictable, long-term commitment discounts.
- Cost Explorer: Identify cost trends, potential savings areas.
Hope you find this post helpful.
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