Compute

Compute

Data sync tools in AWS cloud

Amazon Web Services (AWS) provides several data synchronization tools that help you move, copy, and synchronize data between on-premises storage, edge locations, and AWS cloud services. These tools are designed to handle different use cases such as backup, disaster recovery, hybrid cloud workflows, analytics, and more. Here’s a list of popular AWS data sync tools

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AWS Compute Services

Service Type AWS Service Description Virtual Instances EC2 Elastic Compute Cloud – Virtual machines for running applications. Virtual Instances Lightsail Simplified virtual private servers (VPS) for small-scale applications. Containers ECS Amazon Elastic Container Service – Run and manage Docker containers. Containers EKS Amazon Elastic Kubernetes Service – Managed Kubernetes for container orchestration. Containers Fargate Serverless

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Hybrid connectivity to AWS Cloud

Key Considerations: Option Description Use Case Advantages Considerations AWS Direct Connect Dedicated physical connection between on-premises infrastructure and AWS. High bandwidth, low latency workloads requiring consistent network performance. – Low latency, high bandwidth<br>- Private connection (no public internet)<br>- Cost-effective for large data transfers – Requires physical connection setup<br>- Longer provisioning time<br>- Limited to specific locations

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AWS Platform Services – Tabular format

Service Name Description Category Amazon EC2 Elastic Compute Cloud for scalable virtual servers. Compute Amazon S3 Simple Storage Service for object storage (high durability, scalability). Storage Amazon RDS Relational Database Service for managed relational databases (MySQL, PostgreSQL). Databases Amazon DynamoDB NoSQL database for fast, flexible, and scalable data storage. Databases Amazon VPC Virtual Private Cloud

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Interview Questions – AWS Compute Services – Detailed Explanation

🔧 1. Design a Highly Available and Scalable Web Application with Auto Scaling and Load Balancing Implementation Steps: 🔧 2. Implementing a Serverless Architecture with AWS Lambda Implementation Steps: 🔧 3. Containerized Applications with ECS and EKS Implementation Steps: ECS (Elastic Container Service) , EKS (Elastic Kubernetes Service) , and Hybrid Setup are all ways

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AWS Compute Service

1. Design a Highly Available and Scalable Web Application with Auto Scaling and Load Balancing 2. Implementing a Serverless Architecture with AWS Lambda 3. Containerized Applications with ECS and EKS 4. Cost Optimization of EC2 Instances 5. Secure and Isolated Environments with VPC and Security Groups 6. Disaster Recovery and Backup Strategy 7. High Availability

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AWS Architect Interview questions – Cloud storage

AWS (Amazon Web Services) offers a wide range of cloud storage options, each designed to meet specific use cases and requirements. Below is an overview of the primary AWS storage services, their use cases, and advantages: 1. Amazon S3 (Simple Storage Service) Overview: Amazon S3 is a highly scalable, durable, and secure object storage service.

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Building the AI Infrastructure

Building the backbone of artificial intelligence (AI) with scalable and power-efficient infrastructure is critical to meeting the growing demands of AI workloads. AI applications, particularly those involving deep learning, require massive computational resources, large datasets, and efficient data processing pipelines. However, as AI scales, energy consumption, and hardware limitations become significant challenges. Below is a

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