Serverless Architecture For Real Time Utility Management - Go Cloud

Serverless Architecture For
Real Time Utility Management

DevOps & Solution Architecture

AWS Lambda

API Gateway

CloudFormation

SQS

Amazon Aurora MySQL

Event Bridge

Overview

This company specializes in AI-powered energy management, focusing on sub-metering and utility management solutions. Its platform is designed to help property owners and managers centralize the management of various utilities—such as electricity, gas, water, and steam—reduce overhead costs, and provide real-time energy consumption insights to tenants. The goal is to enhance sustainability, improve cost efficiency, and increase tenant satisfaction through advanced automation and data-driven decision-making.

Problem

1.Scalability Concerns:

The company was managing a large portfolio of properties, each with multiple utilities to track and optimize. As the number of clients and meters increased, its existing infrastructure faced challenges in scaling effectively, resulting in delays and inefficiencies in data processing and billing.

2.Real-time Data Processing:

With the need for real-time insights into energy consumption and automated billing, their existing setup was not fast enough to handle the volume of data generated across various properties. This caused delays in reporting and hindered their ability to provide immediate feedback to tenants.

3.Complex Billing Processes:

The invoicing and tenant billing processes were time-consuming and error-prone, resulting in delayed payments and increased administrative overhead. The company required a more streamlined and automated system to ensure timely and accurate billing.

4.Lack of Flexibility in Infrastructure:

Their monolithic architecture made it challenging to quickly implement new features or scale individual components based on demand. This lack of flexibility affected their ability to adapt to changing business needs.

4.High Operational Costs:

The existing infrastructure involved significant fixed costs for maintaining servers and other resources. This led to inefficiencies in cost management, especially during periods of low activity.

AWS Serverless Microservice Architecture Solution

To address these challenges, the solution involved implementing a serverless microservice architecture built on AWS, which included the following key components:

1.Microservices Design:

The architecture was divided into several microservices, such as Tenant Portal, Client Portal, and Eguage Meter Data Microservices. Each microservice handled specific tasks independently, improving scalability and flexibility.

2.AWS API Gateway and Lambda:

By using AWS API Gateway and AWS Lambda functions, the architecture enabled serverless execution of microservices, which could scale automatically based on demand.

3.Aurora MySQL for Data Management:

Each microservice utilized Amazon Aurora MySQL instances for persistent data storage, offering high availability and performance. This setup allowed for efficient and reliable management of utility data and tenant billing information.

4.Event-Driven Architecture with AWS EventBridge and SQS:

To handle asynchronous events, such as tenant billing and data updates, the architecture used AWS EventBridge and SQS.

5.Cost Optimization:

The serverless architecture was designed to be cost-efficient, allowing the company to pay only for the resources actually used. This "pay-as-you-go" model significantly reduced operational costs, especially during periods of low demand.

Outcomes

By implementing the serverless microservice architecture, the company achieved significant improvements in scalability, efficiency, and flexibility. The real-time data processing capability enabled them to provide up-to-the-minute insights to tenants, while the automated billing system reduced administrative overhead and improved cash flow consistency.

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