This case study highlights how we helped Amili optimize their cloud infrastructure, streamline data processing with AWS Batch, and enhance website hosting and disaster recovery, achieving faster deployments and cost efficiency.
Amili faced several significant challenges prior to our intervention
Amili needed to host multiple websites on AWS, ensuring they were stable, secure, and scalable.
Maintaining their cloud infrastructure was a critical issue, requiring ongoing support to keep operations smooth.
Running data-intensive workloads efficiently on the cloud posed a significant challenge, impacting performance and cost.
Amili aimed to achieve the following goals through our solutions
Streamline the deployment and testing process of their existing websites.
Enhance the Recovery Point Objective (RPO) and Recovery Time Objective (RTO) for their websites to ensure better disaster recovery.
Accelerate data processing and result aggregation.
Implement cost-effective cloud solutions for data storage and processing.
To address Amili's challenges, we proposed and implemented the following solutions
The implementation phase included the following steps
The solutions we implemented led to significant improvements
Enhanced disaster recovery for their websites.
Accelerated the data processing capabilities, leading to faster results.
Amili continues to benefit from ongoing support, including
The case study with Amili highlighted several key takeaways
We developed essential skills in writing complex shell scripts for backing up and restoring multiple websites.
Gained expertise in using Docker and AWS Batch to streamline resource-intensive pipelines on the cloud.
This project has reinforced the importance of robust cloud infrastructure management, the efficiency of automated data processing solutions, and the value of cost-optimized cloud storage. These learnings will be invaluable for future projects, enabling us to deliver even more effective and innovative solutions to our clients.