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Automating infrastructure provisioning for a maritime research firm leading to a significantly reduced cloud cost
Drewry is a leading provider of research and consulting services to the maritime & shipping industry. With over 3,000 clients across 100+ countries, it’s trusted for impartial market insights, industry analysis, and advice. Drewry serves its clients through its diverse business units which include maritime research, maritime advisory, supply chain advisory, and maritime financial research.
Services Used:
Enterprises operating within the maritime sector often deal with vast quantities of data concerning freight rates. This data, while potentially valuable, often remains underutilized due to the sheer volume and complexity involved in its analysis, which is essential for anticipating market trends and making swift strategic decisions.
To address this, Drewry, a key player in the maritime sector, envisioned the Container Freight Intelligence Portal (CFIP) as a revolutionary tool for data-driven decision-making. Recognizing the volatile nature of freight rates, CFIP aimed to empower stakeholders with real-time insights.
Further, Drewry employed ETL pipelines on an EKS-based Kubernetes cluster. However, manual provisioning of large EKS node groups led to underutilized cloud resources, causing cloud waste. Acknowledging the need for optimization and reducing static load, Drewry aimed to establish an on-demand infrastructure for ETL pipelines, ensuring a more efficient, cost-effective solution for CFIP’s performance and scalability.
While the CFIP promised to be a game-changer, its implementation surfaced a host of challenges that Drewry had to navigate. Hence, Drewry sought to partner with a technology expert that could provide the sophisticated solutions required to overcome their data processing and infrastructure challenges.
By zeroing-in on Daffodil Software as their technology partner, Drewry aimed to tap into their wealth of knowledge and innovative strategies to refine the CFIP’s functionality.
Key expectations from Daffodil Software were:
Daffodil Software’s team of seasoned DevOps engineers undertook an in-depth evaluation of Drewry’s existing resource provisioning framework. With a clear understanding of Drewry’s need for agility and efficiency, Team Daffodil set out to create a responsive, on-demand infrastructure that could seamlessly adapt to Drewry’s unique operational needs, ensuring optimal performance and cost-effectiveness for their data processing activities.
Team Daffodil implemented a comprehensive suite of solutions that involved:
Automated Infrastructure Provisioning with AWS CloudFormation The DevOps team at Daffodil ensured that infrastructure is created on demand whenever there is a need to run processes with high resource utilization. To automate infrastructure provisioning, AWS CloudFormation was utilized. AWS CloudFormation is an Infrastructure as Code (IaC) service that allows automating and managing resources across all AWS accounts & regions through a single operation.
Comprehensive CloudFormation Templates Daffodil crafted CloudFormation templates that were capable of launching EKS node groups in various sizes to meet specific requirements. These templates were meticulously stored in Amazon S3, providing version control and the ability to download at the time of stack creation, thus ensuring consistency and reliability in infrastructure deployment.
Integration with Airflow and Boto3 for Streamlined Operations The AWS SDK for Python (Boto3) was utilized to integrate these CloudFormation templates with Apache Airflow DAGs. Team Daffodil designed two types of DAGs: one for creating and another for deleting the CloudFormation stacks, which included the necessary EKS Node Groups for running ETL pipelines. This allowed for precise control over the infrastructure during periods of high demand.
Container Orchestration with Amazon EKS Amazon Elastic Container Service (EKS) was utilized to deploy Apache Airflow [an open-source platform used for orchestrating, scheduling, and monitoring complex workflows or data pipelines] and its components, ensuring the portability and consistent management of containerization tasks. This strategic deployment on Amazon EKS enhanced the deployment process, contributing to the high availability and scalability of the infrastructure.
CI/CD Pipelines for Efficient and Automated Software Deployment Daffodil streamlined the software development and deployment processes through AWS CodeCommit and Jenkins, an open-source CI/CD tool hosted on AWS EC2. CodeCommit securely and efficiently stores application’s source code, while Jenkins efficiently handles code building, testing, and deployment. This approach has significantly expedited software delivery, making it both fast and reliable.
Cost Optimization and Processing Efficiency In a quest to reduce processing time, the Daffodil team adopted a strategy of breaking down workflow pipelines into multiple parallel executions. While this approach greatly enhances efficiency, it necessitates the use of high CPU and memory-intensive servers (EKS Worker Nodes). However, this could lead to increased infrastructure costs.
To address this challenge and optimize costs CloudFormation was utilized to help in automating the infrastructure provisioning. It provided the necessary control to the product admin to create infrastructure as per their need when they wished to run a highly intensive process once or twice in the month & delete it when the process completes. Thus aiding in cost optimization as it would reduce the need to run servers round the clock. The result was improvement in operational efficiency and resource management.
The implementation of a robust infrastructure and efficient automated software deployment catalyzed high improvements in the maritime and shipping industry's data processing capabilities. The industry achieved a remarkable 97.02% improvement in data processing time for their customers. Where earlier, processing 150,000 records once took a week, it was now completed in just 4-5 hours. The upgraded infrastructure proved to be highly scalable, capable of handling 7-8 times more datasets. The automation of infrastructure provisioning using CloudFormation enabled customers and administrators to create and delete resources as needed, streamlining operations for memory and CPU-intensive workloads, and ensuring error-free scalability along with cost reductions. This comprehensive approach led to a significant increase in industry revenue, underscoring the success of the project.
97.02%
Improvement in data processing time
7x
Data scalability
20x
Faster freight costing calculations
99.99% SLA & business uptime with automated DevOps services for a global TaaS company
Daffodil helps National Nutrition to migrate to AWS; resulting in 40% cost savings in infrastructure management
Daffodil enables on-demand provisioning in the Cloud for India’s leading online beauty retailer
Let us understand your business objectives, set up initial milestones, and plan your software project.
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