Travelio’s Architecture Modernization with AWS Microservices Speeds Deployment by 6 Times

Published on 24 November 2022

case study aws travelio

Travelio was able to accelerate its deployment process by up to six times after modernizing its platform architecture to Microservices on AWS with the help of Central Data Technology (CDT), an AWS advanced partner.

Thanks to its massive user base, Travelio stores vast amounts of data. Despite its promising potential, LioIS experiences challenges in scaling due to its continued monolithic architecture and dependence on manual labor. To improve the user or customer experience, Travelio chose to enhance their architecture while utilizing DevOps in their infrastructure. Up to six times faster deployment, downtime reduced from an hour to about three minutes, and better business procedures all lead to a more fulfilling user experience.

Architecture Modernization

Travelio is a versatile property or residential rental service provider platform that began operations in 2015 with transparent monthly, quarterly, or installment payment patterns. The company provides a wide range of properties, including apartments, houses, and villas. Travelio’s property inventory has grown to hundreds of listings and is now accessible in seven major Indonesian cities, including Jakarta metropolitan area, Bandung, Semarang, Yogyakarta, Sidoarjo, Surabaya, and Makassar.

Along with the control of the COVID-19 pandemic and the gradual recovery of people’s mobility, including the implementation of Work From Office (WFO) and Work From Anywhere (WFA) policies by many companies and government agencies, this has begun to affect the traffic on the Travelio online platform, which has expanded.

Travelio has a challenge as traffic volumes grow. The ever-increasing volume of company data, beginning with residential registries and ending with millions of users, makes management and operation even more complex. The design for running monolithic apps is cumbersome and slows the scaling process, making the company’s goal of decreasing downtime difficult to achieve.

“With the recommendations of AWS and CDT, we chose to update Travelio’s architecture towards Microservices inside the AWS ecosystem to boost backend efficiency so that the company’s goal is to improve customer experience, employee productivity, and save more money for IT infrastructure,” said Travelio’s Chief Technology Officer (CTO), Dave Harry.

The Shift to Microservice Architecture

Travelio, with CDT’s support, began modernizing the monolithic design of the LioIS application to AWS Microservices in early 2022. All backend apps are still done manually with a monolithic architecture, which slows down the deployment process.

All manual processes are converted to a cloud native environment enabled by iIntegrated Continuous Integration/Continuous Deployment (CI/CD) when using the Microservices architecture.

“Our existing application design is monolithic, which means that one application might need two to three servers and is still executed manually. We are gradually shifting to Microservices in order to accelerate and automate our application deployment process,” Dave stated.

Travelio’s current monolithic architectural style presents its own set of issues, particularly during the deployment phase. This procedure is still done manually and has an average downtime of 30 to 60 minutes; however, if there is a human or system error in the process, the duration can be extended. This stumbling block has undoubtedly affected Travelio’s business operations.

Dave added that CDT helped them transition from monolithic apps to cloud native architectures. Travelio is developing a Microservices architecture along the way. They want to be able to construct applications fast in the future by allowing the application’s components to function independently, letting them meet the ever-changing business demands. They maximize the usage of DevOps and CI/CD in the development of apps like this.

“Having CDT has been quite helpful to us, since some of our team members are still unfamiliar with Microservices and the deployment of EKS as they have never attempted this implementation before. While we were working on it, the CDT team came down to support and train our team,” Dave continued.

Moreover, CDT provides a variety of AWS services to assist their business objectives. Travelio uses AWS Elastic Kubernetes Service Cluster to deploy, scale, and manage containerized apps on the LioIS application. This is also supported by using AWS Elastic Container Registry as a container registry, as well as the use of AWS Elastic Load Balancer to distribute EC2 traffic and automate the process. Travelio monitors its systems using AWS Cloud Watch and AWS Cloud Trail. Travelio on the CI/CD pipeline leverages third-party services, especially Bitbucket Pipeline and ArgoCD, with the help of CDT.

Flexibility in Innovation

Travelio is facing challenges as it shifts from monolithic design to microservice architecture. “For us, the migration process is a large undertaking that includes not just shifting physical infrastructure to virtual infrastructure but also application code that will run on the infrastructure,” Dave explained.

However, the benefits of transitioning to a Microservices-based design today make the effort worthwhile. Travelio appreciates the ease of deploying apps and adding new services or features to the current platform.

AWS solutions and services also make Travelio nimbler. If there are issues with new features or upgrades, Travelio no longer has to deconstruct the entire system, as it did when it was still utilizing a monolithic design, but can simply increase capacity to maintain uptime until application performance improves or problems encountered are rectified.

Travelio is no longer concerned about system disruptions caused by overloaded servers when the user base suddenly and unexpectedly surges. Travelio’s future business development and innovation will also leverage the same backend technology, which is built on the Microservices architecture on AWS and can reduce time to market.

“We genuinely appreciate CDT’s support. As an advanced partner, CDT’s engineering expertise and services allow us to update the architecture so that every process operates seamlessly. Our own team’s limited knowledge will undoubtedly be an impediment without the help from CDT,” he concluded.

Read More: How AWS Helps Indonesia’s Largest Rubber Producer in Effective Disaster Recovery

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