Bedu is an innovative booking platform tailored for travelers seeking unforgettable experiences in the MENA region with destinations ranging across the UAE, Lebanon, and Saudi Arabia.
Their user-friendly website serves as a comprehensive guide, showcasing entertainment and culinary hot-spots across these three countries. They enable users to plan and personalize their trips, providing a journey through the region’s cultural and culinary richness. With Bedu, users can effortlessly schedule reservations at their preferred establishments, ensuring a hassle-free and enjoyable travel experience.
Slow Delivery and Stagnation
Initially facing slow content delivery and disarrayed software life-cycle management across various development environments, Bedu sought a solution to elevate their online presence.
The abundance of static content and high-quality images on their website led to latency issues, impacting user experience, particularly for those accessing the site from distant locations.
Another hurdle was their lack of an isolated development environment on AWS, which caused delays in implementing crucial changes on the production front.
Additionally, we tackled the challenge of re-organizing the application logic around Amazon Cognito for authentication. Using federated alongside native users in Cognito, had caused some discrepancies and unexpected behavior within the application.
Achieving Agility
To overcome their challenges of latent content delivery, we implemented CloudFront for accelerated delivery using the AWS global edge locations, taking advantage of various caching policies to optimize the caching of different resources, including the static images.
In order to provide a more accurate representation of changes and their effects on the stable production environment, we used AWS CodePipeline to replicate the production pipeline and set up a separate development environment on AWS to streamline the development process. Additionally, to incorporate security features into the pipeline, we utilized ECR’s image scanning feature to proactively detect and resolve security vulnerabilities in the application, before pushing changes to production.
Regarding authentication, our objective was to optimize Amazon Cognito to establish a robust system that efficiently linked the identities of federated and native users, avoiding data duplication and ensuring consistency. This initiative not only enhanced security but also improved the overall reliability of user data.
In addition to this, we conducted a comprehensive Well-Architected review of Bedu’s production workloads and addressed their high-risk issues, transforming their workload according to industry best practices.
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