Blog - Cloud Architecture

Enabling the transformation of dreams into digital reality within the Banking, Financial Services, and Insurance sector.

Amazon EC2 (Elastic Compute Cloud)

Provides resizable compute capacity in the cloud, allowing users to run virtual servers.

Pros:

  • High scalability and flexibility.

  • Wide range of instance types for different use cases.

  • Pay-as-you-go pricing model.

Cons:

  • Can be complex to manage for large deployments.

  • Costs can add up if not managed properly.

 

Lab Link: Getting Started with Amazon EC2


AWS Lambda

Description: Runs code without provisioning or managing servers, charging only for the compute time consumed.

Pros:

  • Simplifies the deployment of microservices.
  • Automatically scales with the size of the workload.
  • Pay only for execution time.

Cons:

  • Limited execution time (up to 15 minutes).
  • Cold start latency can be an issue for performance-critical applications.

Lab Link: Getting Started with AWS Lambda

Amazon Lightsail

Description: Provides easy-to-use cloud resources with a simple management interface, ideal for small businesses and developers who need a straightforward way to launch and manage virtual private servers.

Pros:

  • Simplified interface for managing resources.
  • Predictable, low pricing.
  • Integrated with key AWS services.

Cons:

  • Limited scalability compared to EC2.
  • Less flexibility for advanced configurations.

Lab Link: Getting Started with Amazon Lightsail

Amazon S3 (Simple Storage Service)

Description: Object storage service that offers industry-leading scalability, data availability, security, and performance.

Pros:

  • Highly durable and available.
  • Cost-effective with various storage classes.
  • Integrated with many AWS services.

Cons:

  • Costs can be unpredictable with frequent data retrievals.
  • Management of object lifecycle policies can be complex.

Lab Link: Getting Started with Amazon S3

Amazon EBS (Elastic Block Store)

Description: Provides persistent block storage volumes for use with Amazon EC2 instances.

Pros:

  • High performance for I/O-intensive workloads.
  • Scalable and easily attachable to EC2 instances.
  • Offers snapshots for data backup.

Cons:

  • Can be expensive for large volumes.
  • Requires management of snapshots and backups.

Lab Link: Getting Started with Amazon EBS

Amazon RDS (Relational Database Service)

Description: Managed relational database service that supports several database engines, including MySQL, PostgreSQL, and Oracle.

Pros:

  • Simplifies database administration tasks.
  • Automated backups, patching, and scaling.
  • High availability with Multi-AZ deployments.

Cons:

  • Limited control over database settings.
  • Costs can be higher compared to self-managed databases.

Lab Link: Getting Started with Amazon RDS

Amazon DynamoDB

Description: NoSQL database service that provides fast and predictable performance with seamless scalability.

Pros:

  • Fully managed with automatic scaling.
  • High availability and durability.
  • Integrated with AWS services for analytics and processing.

Cons:

  • Complex pricing model based on read/write capacity.
  • Limited query capabilities compared to relational databases.

Lab Link: Getting Started with Amazon DynamoDB

Amazon VPC (Virtual Private Cloud)

Description: Allows users to provision a logically isolated section of the AWS cloud where they can launch AWS resources in a virtual network.

Pros:

  • Complete control over the virtual networking environment.
  • Enhanced security with security groups and network ACLs.
  • Supports hybrid cloud setups with VPN and Direct Connect.

Cons:

  • Can be complex to set up and manage.
  • Networking costs can accumulate with high data transfer.

Lab Link: Getting Started with Amazon VPC

Amazon CloudFront

Description: Content delivery network (CDN) service for delivering data, videos, applications, and APIs to customers globally with low latency.

Pros:

  • Reduces latency by caching content at edge locations.
  • Integrated with other AWS services.
  • Pay-as-you-go pricing.

Cons:

  • Initial setup and configuration can be complex.
  • Costs can rise with high data transfer and request volumes.

Lab Link: Getting Started with Amazon CloudFront

AWS IAM (Identity and Access Management)

Description: Provides fine-grained access control to AWS resources.

Pros:

  • Granular control over user permissions.
  • Integrates with other AWS services for centralized management.
  • Supports multi-factor authentication (MFA).

Cons:

  • Complex policies can be difficult to manage.
  • Misconfigurations can lead to security vulnerabilities.

Lab Link: Getting Started with AWS IAM

AWS Key Management Service (KMS)

Description: Managed service that makes it easy to create and control the encryption keys used to encrypt data.

Pros:

  • Centralized key management.
  • Integrated with many AWS services.
  • High security with hardware security modules (HSMs).

Cons:

  • Costs can add up with high key usage.
  • Limited to AWS ecosystem for key management.

Lab Link: Getting Started with AWS KMS

Amazon EMR (Elastic MapReduce)

Description: Managed cluster platform that simplifies running big data frameworks like Apache Hadoop and Spark.

Pros:

  • Easy to set up and scale big data clusters.
  • Integrated with AWS data storage services.
  • Cost-effective with spot instances.

Cons:

  • Can be expensive for continuous use.
  • Requires knowledge of big data frameworks.

Lab Link: Getting Started with Amazon EMR

Amazon Kinesis

Description: Platform for real-time processing of streaming data at scale.

Pros:

  • Real-time data processing and analytics.
  • Scalable and fully managed.
  • Supports various data sources and destinations.

Cons:

  • Complex pricing model.
  • Requires expertise in stream processing.

Lab Link: Getting Started with Amazon Kinesis

Amazon SageMaker

Description: Fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Pros:

  • Simplifies the machine learning workflow.
  • Supports popular frameworks and algorithms.
  • Integrated with other AWS services for data processing and storage.

Cons:

  • Can be expensive for large-scale training.
  • Requires expertise in machine learning.

Lab Link: Getting Started with Amazon SageMaker

AWS Rekognition

Description: Service that makes it easy to add image and video analysis to applications.

Pros:

  • Pre-trained models for image and video analysis.
  • Scalable and fully managed.
  • Easy integration with other AWS services.

Cons:

  • Limited customization of models.
  • Costs can rise with high-volume usage.

Lab Link: Getting Started with AWS Rekognition

AWS IoT Core

Description: Managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.

Pros:

  • Scalable and fully managed.
  • Secure communication and data processing.
  • Integrated with other AWS services.

Cons:

  • Complex setup for large IoT deployments.
  • Costs can add up with high device counts.

Lab Link: Getting Started with AWS IoT Core

AWS IoT Greengrass

Description: Extends AWS to edge devices so they can act locally on the data they generate while still using the cloud for management, analytics, and durable storage.

Pros:

  • Local processing and offline functionality.
  • Secure and scalable.
  • Easy integration with AWS IoT Core.

Cons:

  • Requires edge device management.
  • Costs can rise with complex deployments.

Lab Link: Getting Started with AWS IoT Greengrass

Amazon SNS (Simple Notification Service)

Description: Fully managed messaging service for both application-to-application (A2A) and application-to-person (A2P) communication.

Pros:

  • Highly scalable and cost-effective.
  • Supports multiple messaging protocols.
  • Easy to integrate with other AWS services.

Cons:

  • Limited message size.
  • Complexity in managing subscriptions and permissions.

Lab Link: Getting Started with Amazon SNS

Amazon SQS (Simple Queue Service)

Description: Fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications.

Pros:

  • Highly reliable and scalable.
  • Supports standard and FIFO queues.
  • Easy integration with other AWS services.

Cons:

  • Potential delay in message processing.
  • Costs can add up with high-volume usage.

Lab Link: Getting Started with Amazon SQS

Amazon Connect

Description: Cloud-based contact center service that makes it easy to set up and manage a customer contact center and provide reliable customer engagement at any scale.

Pros:

  • Easy to set up and scale.
  • Pay-as-you-go pricing model.
  • Integrates with other AWS services and third-party applications.

Cons:

  • Limited advanced analytics capabilities.
  • Can be costly for large-scale deployments.

Lab Link: Getting Started with Amazon Connect

Amazon Pinpoint

Description: Flexible and scalable outbound and inbound marketing communications service. It helps you engage your customers by sending them email, SMS, push, or voice messages.

Pros:

  • Supports multiple communication channels.
  • Easy to set up and manage campaigns.
  • Detailed analytics and reporting.

Cons:

  • Can be complex to integrate with existing systems.
  • Costs can add up with high-volume messaging.

Lab Link: Getting Started with Amazon Pinpoint

Amazon WorkSpaces

Description: Managed, secure Desktop-as-a-Service (DaaS) solution that allows you to provision Windows or Linux desktops in just a few minutes.

Pros:

  • Simplifies desktop management.
  • Provides secure, reliable access from any location.
  • Pay-as-you-go pricing.

Cons:

  • Can be expensive compared to traditional VDI solutions.
  • Limited customization options.

Lab Link: Getting Started with Amazon WorkSpaces

Amazon Chime

Description: Communications service that lets you meet, chat, and place business calls inside and outside your organization.

Pros:

  • Easy to use and integrate.
  • High-quality audio and video.
  • Pay-per-use pricing model.

Cons:

  • Limited advanced features compared to other conferencing tools.
  • Can be costly for frequent use.

Lab Link: Getting Started with Amazon Chime

Amazon AppStream 2.0

Description: Fully managed application streaming service that provides users with instant access to their desktop applications from anywhere.

Pros:

  • Scalable and secure application streaming.
  • Supports a wide range of applications.
  • Pay-as-you-go pricing.

Cons:

  • Can be expensive for high usage.
  • Requires internet connectivity.

Lab Link: Getting Started with Amazon AppStream 2.0

Amazon WorkLink

Description: Fully managed service that provides secure, one-click access to internal websites and web apps from mobile devices without the need for a VPN.

Pros:

  • Enhances security by eliminating the need for VPNs.
  • Easy to set up and manage.
  • Supports a wide range of mobile devices.

Cons:

  • Limited to web applications.
  • Can be complex to integrate with existing systems.

Lab Link: Getting Started with Amazon WorkLink

Amazon Sumerian

Description: Allows you to create and run virtual reality (VR), augmented reality (AR), and 3D applications quickly and easily without requiring any specialized programming or 3D graphics expertise.

Pros:

  • Simplifies the development of AR/VR applications.
  • Integrates with other AWS services.
  • Supports a wide range of devices.

Cons:

  • Limited advanced features compared to other AR/VR platforms.
  • Can be complex for beginners.

Lab Link: Getting Started with Amazon Sumerian

Amazon GameLift

Description: Managed service for deploying, operating, and scaling dedicated game servers for session-based multiplayer games.

Pros:

  • Simplifies game server management.
  • Automatically scales based on player demand.
  • Integrated with other AWS services.

Cons:

  • Can be expensive for large-scale deployments.
  • Requires integration with game engines.

Lab Link: Getting Started with Amazon GameLift

Amazon Lumberyard

Description: Free, cross-platform, 3D game engine that integrates with AWS and Twitch.

Pros:

  • Powerful game development features.
  • Integration with AWS and Twitch.
  • Free to use.

Cons:

  • Steep learning curve.
  • Requires high-end hardware for development.

Lab Link: Getting Started with Amazon Lumberyard

AWS RoboMaker

Description: Service that makes it easy to develop, test, and deploy intelligent robotics applications at scale.

Pros:

  • Simplifies robotics application development.
  • Integrated with AWS services for analytics and machine learning.
  • Provides simulation environments.

Cons:

  • Can be complex for beginners.
  • Costs can add up with extensive simulations.

Lab Link: Getting Started with AWS RoboMaker

Amazon Braket

Description: Fully managed service that helps you get started with quantum computing by providing a development environment to explore and design quantum algorithms.

Pros:

  • Simplifies access to quantum computing resources.
  • Integrated with other AWS services.
  • Supports multiple quantum hardware providers.

Cons:

  • Still an emerging technology with limited practical applications.
  • Can be expensive for extensive use.

Lab Link: Getting Started with Amazon Braket

Amazon Managed Blockchain

Description: Fully managed service that makes it easy to create and manage scalable blockchain networks using the popular open-source frameworks Hyperledger Fabric and Ethereum.

Pros:

  • Simplifies blockchain network setup and management.
  • Scalable and secure.
  • Integrated with other AWS services.

Cons:

  • Can be complex to integrate with existing systems.
  • Limited to supported frameworks.

Lab Link: Getting Started with Amazon Managed Blockchain

AWS Ground Station

Description: Fully managed service that lets you control satellite communications, process satellite data, and scale your satellite operations.

Pros:

  • Simplifies satellite data processing.
  • Integrated with other AWS services for analytics and storage.
  • Pay-as-you-go pricing.

Cons:

  • Niche service with limited use cases.
  • Can be expensive for extensive satellite operations.

Lab Link: Getting Started with AWS Ground Station