The 15 AWS Services DevOps Engineers Should Master in 2025

SdeepSdeep
4 min read

As cloud computing continues to dominate the tech industry, DevOps engineers must master key AWS services to build, deploy, and manage scalable and secure applications. AWS offers a vast array of tools, but some are essential for DevOps workflows.

Here are the top 15 AWS services every DevOps engineer should learn:


1. Amazon EC2 (Elastic Compute Cloud)

Why Learn It? EC2 provides scalable virtual servers in the cloud, allowing DevOps engineers to deploy applications quickly.
Key Features:

  • Auto-scaling for handling traffic spikes

  • Multiple instance types (compute-optimized, memory-optimized, etc.)

  • Integration with AWS Load Balancer and VPC


2. Amazon VPC (Virtual Private Cloud)

Why Learn It? VPC lets you create isolated networks within AWS, ensuring security and control over cloud resources.
Key Features:

  • Subnets, route tables, and security groups

  • VPN and Direct Connect for hybrid cloud setups

  • Network ACLs for traffic filtering


3. Amazon EBS (Elastic Block Store)

Why Learn It? EBS provides persistent block storage for EC2 instances, essential for databases and applications.
Key Features:

  • SSD and HDD storage options

  • Snapshots for backups

  • Encryption using AWS KMS


4. Amazon S3 (Simple Storage Service)

Why Learn It? S3 is the backbone of AWS storage, used for backups, static website hosting, and data lakes.
Key Features:

  • High durability (99.999999999%)

  • Versioning and lifecycle policies

  • Integration with AWS Lambda and CloudFront


5. AWS IAM (Identity and Access Management)

Why Learn It? IAM controls user permissions, ensuring secure access to AWS resources.
Key Features:

  • Role-based access control (RBAC)

  • Multi-factor authentication (MFA)

  • Temporary security credentials


6. Amazon CloudWatch

Why Learn It? CloudWatch monitors AWS resources and applications in real-time.
Key Features:

  • Logs, metrics, and alarms

  • Automated responses using EventBridge

  • Dashboards for visualization


7. AWS Lambda

Why Learn It? Lambda enables serverless computing, allowing code execution without managing servers.
Key Features:

  • Event-driven architecture (S3, DynamoDB triggers)

  • Auto-scaling and pay-per-use pricing

  • Supports multiple languages (Python, Node.js, etc.)


8. AWS CodeBuild

Why Learn It? CodeBuild is a fully managed CI/CD service for compiling and testing code.
Key Features:

  • Integrates with GitHub, Bitbucket, and CodeCommit

  • Parallel builds for faster deployments

  • Custom build environments


9. AWS Config

Why Learn It? AWS Config tracks resource changes and ensures compliance.
Key Features:

  • Configuration history and drift detection

  • Compliance rules (e.g., HIPAA, PCI-DSS)

  • Automated remediation


10. AWS Billing and Cost Management

Why Learn It? Managing cloud costs is crucial for optimizing budgets.
Key Features:

  • Cost Explorer for spending analysis

  • Budget alerts to prevent overspending

  • Reserved Instance recommendations


11. AWS KMS (Key Management Service)

Why Learn It? KMS provides encryption keys for securing data.
Key Features:

  • Centralized key management

  • Integration with EBS, S3, RDS

  • Hardware Security Module (HSM) support


12. AWS CloudTrail

Why Learn It? CloudTrail logs API calls for security and compliance auditing.
Key Features:

  • Tracks user activity and resource changes

  • Integrates with SIEM tools (Splunk, Datadog)

  • Event history retention


13. Amazon EKS (Elastic Kubernetes Service)

Why Learn It? EKS simplifies Kubernetes cluster management.
Key Features:

  • Managed control plane

  • Integration with IAM and VPC

  • Supports Helm charts and kubectl


14. AWS Fargate

Why Learn It? Fargate is a serverless compute engine for containers.
Key Features:

  • No need to manage EC2 instances

  • Works with ECS and EKS

  • Pay-per-use pricing


15. ELK Stack (Elasticsearch, Logstash, Kibana) on AWS

Why Learn It? The ELK Stack helps in log analysis and monitoring.
Key Features:

  • Centralized logging for troubleshooting

  • Real-time dashboards with Kibana

  • Scalable with Amazon OpenSearch Service


Conclusion

Mastering these 15 AWS services will empower DevOps engineers to build, deploy, and manage cloud infrastructure efficiently. Whether you're working on CI/CD pipelines, security, monitoring, or cost optimization, these tools are essential for modern DevOps practices.

Which AWS service do you use the most? Let us know in the comments! ๐Ÿš€

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Written by

Sdeep
Sdeep

๐Ÿ‘‹ Hello! I'm passionate about DevOps and I'm proficient in a variety of cutting-edge technologies and always motivated to expand my knowledge and skills. Let's connect and grow together!