EV for rent apps on AWS infra

this a POC for building an AWS infra for a EV rental service using a mobile apps

a future proof infrastructure and services EV on demand rental Services with has those features : https://github.com/Sherlock2019/EV4rent/tree/main

A mobile App connecting to a Service to book cars

iOt data from EV cars streaming to a Server to collect data and react to any issues the driver might have

Aplication access to dev to correct issue and deploy new version of the apps

Business intel for stake holders

Alert for maintenance team

Auth : Doan Nguyen Network and Cloud architect, DEvops , SRE , with Data science and machine learning specialty

Date 06 november 2023 Context : job interview

Introduction

In addressing an EV rental company case study, the AWS infrastructure proposed below is designed to be highly available, scalable, secure, and cost-efficient. It supports an EV rental company microservices-based core platform, native mobile applications, and a single-page application for backend operations. The design considerations take into account the unique operational landscape of Singapore and the need for regular and rapid deployment of new services.

Technical Justification and Thought Process from business goals to a technically , cost effective , and operational sound solution within human and cost limits.

My top down process from business goal to solutions

1.+ Business needs 2.+ Functions 3.+ Available Human , technical and budget resource 4.+ SLO and SLA 5.+ discussion with all involved stake holder 6.+ Choice and adoption of Solutions 7.+ poc 8.+Implementation 9.+ support process 10.+ training and documentation 11.+ monitoring tools for measuring Cost , SLO , SLA 12.+continuous improvement process on SLO , SLA , Cost

13.Back to 1 business change like growth and business goals changes

Possible Solution

Introducing EV for All

What is it ? A scalable, resilient architecture with low latency for a EV rental company on AWS involves selecting services that offer high availability, fault tolerance, and quick data access.

Why ? to provide a Fast , Resilient, flexbile Scalable and easy to managed systems , with possible Future multibilling and multi account mgt feaute and Business intel using machine learning and data ETL feature on AWS .

Where ? : for Blue sg customers and office in SG . and in the future All customers and office in the ASEAN region ( vietnam , maylasia , japan , koera , indonesia, Australia)

For Who : Blue SG customers , Partners , Blue sg mgt teams, marketing , Sales and Operations teams ( dev , Devops SRE , Data teams , maintenance Teams,

How ?

Here it is

“Blue Horizons “ the system that will help blue sg provide the best EV car rental service and scale in Asia and go boldly where no man has gone before .. star trek Trailer

Blue horizon architecture overview

resilient architecture with short latency for EV rental company EV management, core platform, and backend operations involves several AWS services working in concert. Here's a high-level overview of the architecture, including the workflow for each platform:

1.EV Management Platform:

AWS IoT Core: for its ability to handle massive volumes of messages from EVs, ensuring real-time data processing with minimal latency, which is critical for monitoring vehicle status and responding to events.

Amazon Kinesis: to process large streams of data in real time, which is essential for analyzing EV data for insights and timely decision-making.

AWS Lambda: for serverless compute capabilities, allowing for event-driven, scalable processing of data and alerts without the need for managing underlying infrastructure.

Amazon SNS: Used for its messaging and mobile notifications, enabling prompt alerts to the operations team about vehicle status or issues.

2.Core Platform/uService/Frontend:

Amazon SQS and SNS: These services decouple microservices, handle message queuing, and facilitate pub/sub patterns, which are essential for reliable, scalable inter-service communication.

Amazon EventBridge: Ideal for event-driven architectures, it allows scheduling and automates triggering of workflows, which is necessary for job scheduling across microservices.

AWS Lambda:

Serverless Compute : Lambda functions allow you to run code without provisioning or managing servers. This is ideal for event-driven architectures, such as responding to HTTP requests from the mobile app or processing data streams from EVs.

Scalability : Automatically scales the compute in response to the number of requests, which is crucial for handling varying loads, such as during peak rental times.

Cost-Effectiveness : With Lambda, you pay only for the compute time you consume, which can be more cost-effective than maintaining always-on servers, especially when dealing with unpredictable traffic patterns.

Rapid Deployment : Enables quick updates and deployment of new microservices, which supports EV rental company need for adding new services regularly within a short timeframe.

Amazon ECS/EKS on Fargate: Why ?

Amazon ECS/EKS on Fargate:

Container Management : ECS and EKS provide orchestration services that are essential for managing containerized microservices, allowing a EV rental company to deploy, manage, and scale applications.

Serverless Containers : Fargate is a serverless compute engine for containers, removing the need to provision and manage servers and letting you focus on designing and building your applications.

Security : Fargate provides task-level isolation, improving the security posture of your applications. Each task runs in its own isolated environment, reducing the risk of interference from other tasks.

Consistent Performance : With Fargate, you can specify and pay for resources per application, which ensures consistent performance and is ideal for latency-sensitive applications like EV rental company EV management and rental systems.

Simplified Operations : Fargate removes the need to manage the underlying infrastructure, simplifying operations and maintenance, which is beneficial for EV rental company SRE team to focus on more critical tasks like observability and reliability.

3.Backend Operations:

Amazon Cognito : For secure user authentication for the internal SPA Single Page App

API Gateway : To provide a flexible API layer for the SPA to interact with backend services.

Amazon CloudFront : To deliver the SPA with low latency and high transfer speeds.

Connectivity & Networking:

AWS Route 53 : for fail over , low latency on mobiles apps and health check on our apps servers

Amazon VPC : To isolate environments and provide secure networking for AWS resources.

AWS Direct Connect : a dedicated network connection from EV rental company office to AWS.

AWS Transit Gateway : To simplify network architecture, connecting VPCs and on-premises networks.

Security:

AWS IAM : For fine-grained access control to AWS resources.

AWS WAF and Shield : For protecting against web exploits and DDoS attacks.

AWS KMS : For managing encryption keys for data at rest and in transit.

VPC Security Groups and NACLs : For stateful and stateless traffic control.

SRE Considerations:

Amazon CloudWatch : For monitoring and observability of AWS resources and applications.

AWS X-Ray : For tracing and analyzing microservices.

Amazon Elasticsearch Service : For log analytics and real-time application monitoring.