Amazon Web Services (AWS) offers a wide range of compute services that enable businesses to run applications efficiently in the cloud. Whether you're deploying virtual servers, running containerized applications, or leveraging serverless computing, AWS provides scalable and cost-effective solutions.
If you're looking for an AWS course in Bangalore, understanding AWS Compute Services is a crucial step toward mastering cloud computing. At Eduleem—AWS, DevOps, Azure, GCP, and AI Training in Bangalore, we offer hands-on AWS training to help you build real-world skills.
AWS Compute Services power workloads across industries. Here’s an in-depth look at the core AWS compute offerings:
1. Amazon EC2 (Elastic Compute Cloud)
Amazon EC2 provides scalable virtual machines (VMs) in the cloud.
Key Features:
- Various instance types optimized for compute, memory, and storage
- Auto Scaling for adjusting instances based on demand
- Integration with AWS services like RDS, S3, and Lambda
Use Cases: Hosting websites, running enterprise applications, and data processing
2. AWS Lambda
AWS Lambda is a serverless compute service that runs code without provisioning or managing servers.
Key Features:
- Executes code in response to events
- Supports multiple programming languages (Python, Node.js, Java, etc.)
- Scales automatically based on demand
Use Cases: Event-driven applications, automated workflows, and backend processing
3. Amazon ECS (Elastic Container Service)
Amazon ECS is a fully managed container orchestration service for running Docker containers.
Key Features:
- Supports AWS Fargate for serverless containers
- Deep integration with AWS services like IAM, CloudWatch, and ALB
- Highly scalable and cost-effective
Use Cases: Microservices, containerized applications, and batch processing
4. Amazon EKS (Elastic Kubernetes Service)
Amazon EKS is a managed Kubernetes service that simplifies running Kubernetes workloads on AWS.
Key Features:
- Fully managed control plane for Kubernetes clusters
- Seamless integration with AWS networking, storage, and security services
- Scales automatically to handle workloads efficiently
Use Cases: Running Kubernetes workloads, microservices architecture, and hybrid cloud setups
5. AWS Fargate
AWS Fargate allows you to run containers without managing servers or clusters.
Key Features:
- Serverless container management
- Automatically scales resources based on workload
- Pay-as-you-go pricing model
Use Cases: Deploying microservices, CI/CD pipelines, and serverless applications
6. AWS Batch
AWS Batch enables batch processing workloads at scale.
Key Features:
- Dynamically, provisions compute resources based on demand
- Supports EC2 and Fargate as computing environments
- Integrated job scheduling and resource optimization
Use Cases: Scientific computing, data analysis, and large-scale simulations
7. AWS Outposts
AWS Outposts extends AWS infrastructure to on-premises data centers.
Key Features:
- Fully managed AWS services on-premises
- Supports EC2, RDS, and container services
- Provides consistent hybrid cloud experience
Use Cases: Running AWS services on-premises for low-latency applications
Are you preparing for the AWS Certified Solutions Architect – Associate Exam? Check out our detailed preparation guide to help you ace the exam and boost your cloud career!
Conclusion: Learn AWS Compute Services at Eduleem
AWS compute services form the backbone of modern cloud architectures. Whether you're deploying scalable web applications, managing containerized environments, or leveraging serverless computing, AWS provides the tools you need.
If you're searching for the best AWS training institute in Bangalore, Eduleem offers hands-on AWS training in Bangalore with real-world projects, expert instructors, and certification preparation.
🚀 Explore our AWS training and certification courses at Eduleem—AWS, DevOps, Azure, GCP, and AI Training in Bangalore. Gain practical knowledge and become a cloud expert!
Top comments (0)