shivani salavi
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| | What are some popular AWS DevOps tools? (28th Mar 25 at 7:29am UTC) | | The popular AWS DevOps tools, as they're crucial for modern cloud workflows:
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1. Code Services (Source Control & Build):
AWS CodeCommit:
A fully-managed source control service.
Secure, scalable, and eliminates the need for self-managed Git servers.
Ideal for private Git repositories. AWS Course in Pune
AWS CodeBuild:
A fully-managed build service.
Compiles source code, runs tests, and produces software packages.
Scales automatically to handle build workloads.
2. Deployment and Release Services:
AWS CodeDeploy:
Automates application deployments to EC2, Lambda, ECS, and on-premises servers.
Supports various deployment strategies (e.g., blue/green, canary).
Minimizes downtime during deployments.
AWS CodePipeline:
Automates the software release process (CI/CD).
Orchestrates stages like source, build, test, and deploy.
Integrates with CodeCommit, CodeBuild, CodeDeploy, and other services.
3. Infrastructure as Code (IaC):
AWS CloudFormation:
Defines and provisions AWS infrastructure using templates (JSON or YAML).
Ensures consistent and repeatable infrastructure deployments.
Manages infrastructure lifecycles.
AWS Cloud Development Kit (CDK):
Defines cloud infrastructure using familiar programming languages (TypeScript, Python, Java, etc.).
Provides higher-level abstractions over CloudFormation.
Accelerates infrastructure development.
4. Monitoring and Logging:
Amazon CloudWatch:
Monitors AWS resources and applications (metrics, logs, events).
Sets alarms, creates dashboards, and analyzes logs.
Provides observability into application performance.
AWS X-Ray:
Analyzes and debugs distributed applications (microservices).
Provides end-to-end tracing and visualization of requests.
Helps identify performance bottlenecks.
5. Container Services:
Amazon ECS (Elastic Container Service):
Manages Docker containers on AWS.
Scalable and highly available container orchestration.
Amazon EKS (Elastic Kubernetes Service):
Manages Kubernetes clusters on AWS.
Provides a managed Kubernetes experience.
AWS Fargate:
Serverless compute for containers (ECS and EKS).
Eliminates the need to manage container instances.
6. Configuration Management and Automation:
AWS Systems Manager:
Centralizes operational management of AWS resources.
Provides features like patching, configuration management, and automation.
Automates common operational tasks.
7. Serverless Tools:
AWS Lambda:
Serverless compute service.
Runs code without managing servers.
Triggers by events from other AWS services.
Key Advantages of Using These Tools:
Automation: Reduces manual effort and errors.
Integration: Seamlessly integrates with other AWS services.
Scalability: Handles varying workloads efficiently.
Security: Adheres to AWS security best practices.
Managed Services: Reduces operational overhead.
Increased speed: Fastens up the development pipeline.
Improved Collaboration: Enables better collaboration between development and operations.
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