Implementation of Data Analytics solution for Carbon footprint tracking on AWS cloud
Client Overview
A leading financial information, analytics, and ratings provider offers essential insights and data to businesses, governments, and investors, helping them make informed decisions in global financial and automotive markets. Their services include credit ratings, benchmarks, and risk assessments across finance, energy, transportation, and commodities sectors. The organization plays a crucial role in driving transparency, growth, and efficiency through diverse platforms in the global market.
Scope of work
This project calculates the carbon emissions associated with both the production process and the entire life cycle of vehicles. It examines emissions from raw material extraction, manufacturing, transportation, and vehicle operation, including fuel consumption. Data from various stages is integrated to estimate the total carbon footprint of a vehicle. The findings aim to identify opportunities for reducing emissions and promoting more sustainable practices in the automotive industry.
Business Challenge
- This is an innovative concept in the automotive industry, as the global focus is on finding solutions to reduce carbon emissions at every stage of a vehicle's life cycle.
- Many states and countries have made it mandatory to provide detailed reports on emissions and implement measures to control them.
- Calculating vehicle emissions is complex due to the multifaceted life cycle, which includes the production of raw materials, vehicle manufacturing, and the usage of the vehicle throughout its lifetime.
JRD Solution
- We worked closely with the client’s analysts and experts to develop a customized solution that aligns with both business and technical objectives. Our approach ensures compliance with global and industry standards, guaranteeing widespread acceptance.
- Implemented an AWS cloud-based, serverless architecture to optimize computing costs while enhancing system availability through a resilient cross-region disaster recovery strategy.
- Designed the AWS architecture to maximize efficiency and cost-effectiveness by leveraging scalable computing and automated workflows.
- Established a structured AWS cloud-based framework for seamless data storage, retrieval, and processing, ensuring smooth integration with existing enterprise systems. Advanced analytics and reporting tools were incorporated to generate valuable insights for informed decision-making.
- Implemented a comprehensive AWS disaster recovery and high-availability strategy, featuring automated backups and multi-region redundancy. Integrated AWS security best practices throughout the solution to uphold data protection and regulatory compliance.
- Delivered a robust, scalable, and secure platform that adheres to industry standards while driving long-term sustainability and operational efficiency.
Key Benefits
- Architecture: Designed with a focus on scalability, availability, and maintainability, leveraging cloud solutions. The project was successfully developed and completed on time.
- Scalability: We designed the AWS cloud architecture with scalability in mind, leveraging services like AWS Batch, Fargate, Lambda, DynamoDB, and Step Functions to handle dynamic workloads efficiently. The solution follows the AWS Well-Architected Framework, ensuring seamless scalability as data and processing demands grow.
- Cost Management: We implemented a cost-effective serverless architecture using AWS to minimize computing expenses while ensuring high availability. Additionally, AWS Budgeting and Cost Management tools were leveraged to optimize resource utilization and control spending.
- Compliance and Security: We implemented AWS security best practices using IAM, KMS, VPC, WAF, NACL, Security Groups, Encryption at Rest and Transit and Secrets Manager to ensure data and risk protection and compliance.
- Disaster recovery and Backup: We implemented AWS Disaster Recovery and AWS Backup solutions to ensure high availability and data resilience across multiple regions. Cross-region replication and automated backups were configured to safeguard against data loss and minimize downtime.
Core Differentiators
- We collaborated with the client throughout all project phases, offering implementation solutions. We provided an AWS cloud-based technical architecture that follows AWS Well-Architected Framework, best practices, ensuring scalability, maintainability, and seamless integration with other projects. Additionally, the solution was implemented with a strong focus on security and compliance.
Technology used
- AWS Cloud Platforms & Services: AWS Cloud, AWS Batch, Fargate, Lambda, SNS, DynamoDB, Step Functions, Airflow, CloudFront, S3, CloudWatch, AWS Backup, AWS Disaster Recovery Strategies, IAM, KMS, VPC, AWS Budgeting
- Development & DevOps: Python, Node.js, CI/CD, GIT, Terraform, Sonar, Mend
- Security: AWS Security, WAF, NACL, Security Group, Shield, IAM and Secrets Manager
- Data & Reporting: Pandas, Power BI Reporting
- Design & Prototyping: Figma (UI/UX Design)
Technology Utilized
