AltexSoft took on the task of auditing the legacy software, fixing critical issues, and launching it into production. As a result, the client received a stable online booking tool that speeds up acquisitions and facilitates business growth.
Improved security and efficiency of the online booking process
First of all, we reviewed and optimized the booking engine code. To make it work properly, we did an almost complete rewrite of the frontend while the backend was changed by almost 50 percent. For fault tolerance and higher security, we migrated the product to the Amazon Virtual Private Cloud, which restricts access to data and resources for unauthorized users
A better user experience through enhanced navigation and website speed
On the frontend, we redesigned the search filters of the main website to guide users only to those locations where the client’s services were available and let them find exactly what they were looking for. For an even better experience, we embedded search autocomplete functionality. We also implemented server-side rendering that resulted in improved search performance, better SEO, and faster page loading.
Faster inventory updates
We integrated a new, more performant Track PMS API and took a different approach to the synchronization of the booking system database with the PMS. Instead of updating all the inventory content once a day as done previously, we started requesting only those properties whose prices or availability had changed during a certain period of time. This dramatically sped up the update process.
A shorter time to market for each acquisition and destination added
Since all the websites in the client’s system had the same settings, we automated the building and deployment of their infrastructure using IaC (infrastructure as code) tools. This step reduced manual work and supported the growth-through-acquisition strategy simplifying and speeding up launches of new websites. Besides that, we implemented a multi-PMS solution with automapping to fix content inconsistencies. When buying companies in the future, it will help add new destinations and properties from different sources smoothly, avoiding duplications and mistakes.
Approach and Technical Info
The project lasted for almost a year and a half, involving three frontend engineers, a backend engineer, three QA engineers, a solution architect, a DevOps engineer, a project manager, a business analyst, and a UX designer. Some of the specialists worked part-time. The total scope exceeded 9 man-years.
The technology stack included React, WordPress (for microsites), Next.JS, Laravel (for backend), Elasticsearch, AWS, EC2 Cluster, Docker, Pulumi (IaC), GitLab CI/CD.
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