Client Case: Headway

How Headway effectively scales with Google Cloud tools ?

About the client: Headway is an IT company founded in 2019 that creates EdTech products. In 3 years, the company grew from 3 to 150 people in the team and opened offices in Kyiv, Warsaw, Nicosia, and London. Headway products help develop millions of people in the world through concise formats of educational content: courses, videos, games, infographics, and summaries.

The main product is the Headway app. It features daily insights, gamified challenges, and 15-minute text and audio summaries of non-fiction bestsellers. The application has been downloaded by more than 12 million users worldwide, and Apple regularly places it on the charts in stores in 140+ countries.

Project start date: 04/11/2022

Project end date: 04/28/22

Challenge: Headway is scaling quickly, both in the number of users of the company’s app and team members. With rapid growth, the volume of data increases and, accordingly, the number of new services that Headway integrates into its ecosystem.

Thus, the Headway team regularly reviewed the company’s work processes to remain efficient. One of the company’s goals was to optimize its costs and find suitable tools for processing large amounts of data with the further possibility of scaling the company.

Cooperation with Google Cloud directly did not provide the company with the same starting conditions as offered by Cloudfresh. Therefore, Headway decided to use the company’s services. In addition, the previous successful cooperation of Сloudfresh with Headway-friendly projects (like Genesis) did not doubt the effectiveness of the future collaboration of the teams.

Solution: Google Cloud services are powerful data tools for Headway. The back-end of the company’s product and data storage are closely related to them.

In its work, the team uses many tools from Google Cloud, such as:

• Cloud Storage: for data storage;
• BigQuery: to manage and analyze data using built-in features of the service, such as machine learning and business analytics;
• Cloud Functions: for working with code in the cloud without servers;
• Cloud SQL: for the administration of relational databases on Google Cloud Platform;
• Cloud Pub/Sub: For messaging and reporting important analytics events to BigQuery.

Results: Working with Google Cloud tools improves many of Headway’s processes and enables the company to scale rapidly. Thanks to the cooperation with Cloudfresh, the transition to more convenient conditions helped Headway optimize its costs and ensure the company’s convenience.

A comprehensive data analysis and business intelligence system on BigQuery with Cloud SQL and Cloud Storage, which support data query and storage, gives the company the ability to better understand and interact with its end users. Google Cloud services fully met Headway’s needs for a flexible and efficient data management and analysis solution.

Cloudfresh Role: The Cloudfresh team advised Headway on the service acquisition process and all necessary information and materials. The company also accompanied and supported the Headway team in the negotiation process.

Cloudfresh quickly and professionally responded to all the company’s requests and provided Headway with qualified service throughout the entire period of team cooperation.