Driving Efficiency: Transforming Taxi App Performance with GCP Optimization

About the Client

The client offers a Taxi App Management System tailored for drivers who may encounter technology-related difficulties. This system efficiently manages daily tasks, promotes the exchange of ride details, and includes advanced features such as trip scheduling, driver logs, safety guidelines, customized forms, expense tracking, vehicle management, budgeting, group communication, and additional functionalities. The goal of the platform is to simplify the operational processes for taxi drivers in their day-to-day activities.

Problem Statement

The client faced performance issues with their web and mobile apps hosted on Google Cloud Platform (GCP) App Engine. Users experienced slow page load times and inconsistent app performance, mainly due to sluggish API responses. Despite what they believed to be adequate resource allocation, disruptions persisted. The client requested an investigation into the root causes of these issues and prompt solutions to improve overall system performance.

Project Scope

Conducting a thorough assessment of the client's GCP environment to identify potential bottlenecks, misconfigurations, or instances of suboptimal usage of GCP services.
Providing optimization recommendations based on assessment findings to improve overall system performance.
Offering implementation support to ensure effective execution of suggested improvements.

Our Approach

Utilizing a Python script based on GCP libraries to generate a detailed list of the client's GCP assets for deeper insights into their architecture.
Using Google Cloud Diagnostics for App Engine to identify metrics not performing optimally and establish correlations between incoming traffic and served traffic.
Analyzing logs to uncover instances of Internal Server Errors on APIs.
Providing recommendations related to redundancy, restructuring solutions, and optimizing resources to maximize the value for GCP infrastructure costs.

Our Solutons

Implementing redundancy measures to enhance system stability.
Restructuring solutions and optimizing resources for improved performance and cost efficiency.
Enhancing scalability and adaptability for future growth and changes in traffic patterns.

Our Outcomes

Improved system stability and efficiency, reducing downtime and potential revenue loss.
Enhanced scalability and adaptability for future growth.
Significant savings in infrastructure costs for the client.
Positioning the client for continued success in their GCP environment.