AWS VS Azure Serverless CRS/ Event Sourcing Architecture

For the past few years, serverless cloud computing has been the talk of the town, especially when it comes to resource efficiency and cost reduction. However, only cloud-optimized design patterns and architectures can make this achievable. The cloud is transforming how software is planned, produced, delivered, and used. It works by focusing on the development of small and independent businesses.
This article will examine the serverless CQRS and event sourcing architectures of Azure and AWS. Let’s get this party started.

CQRS and Event Sourcing Pattern

Command and Query Responsibility Segregation (CQRS) is a pattern that can be leveraged where high throughput is required. It provides different interfaces for reading data and operations that alter the data. CQRS addresses various problems. In conventional CRUD-based systems, conflicts can arise from a high volume of reading and writing to the same data store.

The event sourcing patterns are used with the CQRS to decouple read from write workloads and enhance scalability, performance, and security. Microservices replay events via the event store to compute the appropriate state. The event sourcing patterns work efficiently with the CQRS because data can be reproduced for a particular event, even if the query and command data stored have different schemas.

AWS Lambda VS Azure Functions

AWS Lambda is a serverless computing service software executing code in response to a triggered event. It automatically manages all the computing resources for streaming regular operations without provisioning or managing servers. AWS lets you trigger Lambda for over 200 services and SaaS applications on a pay-as-you-go basis. It performs resource management, such as server and operating system maintenance, code and security patch deployment, automated scaling and power provisioning, code monitoring, and logging.

Key Functionalities

• Develop custom back-end services
• Automatically respond to code execution requests
• Run code without provisioning or managing infrastructure

Azure Function helps you accelerate and simplify serverless application development. You can develop applications more efficiently with a serverless compute, event-driven platform that helps resolve complex orchestration issues. Unlike AWS Lambda, Azure Functions provide multiple feature deployment options, including One Drive, KUdu Console, GitHub, Visual Studio, DropBox, and Zip,

Key functionalities

• Schedule event-driven tasks across services
• Scale operations based on customer demand
• Expose functions as HTTP API endpoints

AWS Dynamo DB VS Azure COSMO DB

Amazon DynamoDB is a fully managed NoSQL database that provides predictable and fast performance with seamless scalability. It lets you offload the administrative burden of scaling and operating a distributed database without hardware provisioning, replication, setup and configuration, cluster scaling, or software patching. Moreover, it provides encryption at rest, eliminating the complexity and operational burden involved in protecting sensitive data.

Critical features of AWS DynamoDB include

• Automated Storage scaling
• Fully distributed architecture
• Provisioned throughput

Azure COSMO DB is a fully managed NoSQL database service for advanced application development. With CosmoDB, you can get guaranteed single-digit millisecond response times and availability, instant and automatic scalability, backend by SLAs, and open-source APIs for Cassandra and MongoDB. You can enjoy fast reads and writes with multi-region and turnkey data replication. Moreover, it provides real-time data insights with no-ETL analytics.

Key features include

• Fast, flexible application development
• The guaranteed speed at any scale
• Fully managed and cost-effective serverless database

AWS Cognito VS Azure B2C

Amazon Cognito gives authorization, authentication, and user management for your mobile and web applications. Users can directly sign in with a username and password or use a third party, such as Amazon, Facebook, Apple, or Google accounts. The two main components of AWS Cognito are identity pools and user pools. Identity pools let you grant users access to other AWS services, and user pools are user directories providing sign-up and sign-in options for application users.

Features of Amazon Cognito include

• Built-in, customizable web UI
• User profiles and directory management
• OpenID Connect providers

Azure Active Directory B2C is an identity management service enabling custom control of how users can sign up, sign in, and manage profiles using Android, iOS, .Net, and single-page (SPA). You can provide your customers with the flexibility to use their preferred enterprise, social, or local account identities to access applications. Azure B2C is a customer identity access management (CIAM) service capable of supporting millions of users and authentications per day.

Features of Azure B2C include

• Strong authentication for customers leveraging their preferred identity providers
• Integration with databases and applications to capture sign-in
• Customization for each registration and sign-in experience.

AWS API Gateway VS Azure API Management

AWS API Gateway is a fully managed service making it easy for developers to create, deploy, monitor, maintain, and secure APIs at any scale. These APIs are the “front door” for applications to access business logic, functionality, or data from backend servers. Through API Gateway, users can create WebSocket and RESTful APIs enabling real-time two-way communication applications. Moreover, it supports serverless and containerized workloads and web applications.

Azure API Management is a way to create modern and consistent API gateways for back-end services. It helps organizations publish APIs to external and internal developers to unlock the potential of their benefits and data potential. Each API consists of one or more operations, and it can be added to products. Today’s innovative organizations are adopting API architectures to accelerate growth. Moreover, it lets organizations build applications faster and deliver prompt value to customers using the API-first approach.

Conclusion

If you want to exploit the full potential of serverless cloud computing, all non-functional requirements should be known before developing an application. Know your business requirements and choose the right cloud service provider with the correct services and features. This prior knowledge will help you find exemplary architecture and design patterns and combine them. Software developers and software architects should give more thought to the event sourcing architecture in the case of distributed systems.

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