Customer Company Size
Large Corporate
Region
- Europe
Country
- France
Product
- Google Cloud
- BigQuery
- Firebase
- Cloud Run
- Spanner
Tech Stack
- Firestore
- Firebase Cloud Messaging
- Crashlytics
- Google Kubernetes Engine
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Big Data Analytics
- Networks & Connectivity - Network Management & Analysis Software
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Software
Applicable Functions
- Business Operation
- Product Research & Development
Use Cases
- Edge Computing & Edge Intelligence
- Predictive Maintenance
- Remote Asset Management
Services
- Cloud Planning, Design & Implementation Services
- System Integration
About The Customer
MWM is a leading global publisher of creative mobile applications powered by AI, based in France. The company initially launched with a single application, edjing, which has become the world's most downloaded DJ app. Over the years, MWM has expanded its portfolio to include over 50 apps across various fields such as music, drawing, photography, and video. MWM's apps are among the most sought-after on app stores, and the company has made its publishing platform public to top app studios and developers since 2020. MWM aims to create the largest global developer community and has collaborated with Google Cloud and Fastly to power its growing business.
The Challenge
MWM has experienced significant growth in the volume of app content and the number of monthly active users (MAUs) over the past few years. This growth necessitated a focus on scaling, performance, and latency while keeping IT costs under control. The company explored the possibility of moving to other cloud services but ultimately determined that Google Cloud and Fastly provided the best mix of capabilities and efficiencies. MWM needed to ensure that its IT infrastructure could support its expanding user base and content delivery demands without incurring excessive costs or administrative burdens.
The Solution
MWM leverages Google Cloud and Fastly to power its creative app publishing business and deliver fast, engaging content experiences to millions of users in 180 countries. The company uses a range of Google Cloud solutions, including Firestore, Firebase Cloud Messaging, Crashlytics, Google Cloud Storage, BigQuery, and Cloud Run, to build its infrastructure for powerful mobile apps. Fastly's Content Delivery Network (CDN) enables MWM to quickly deliver apps and content globally from centralized storage in Belgium. MWM transacts with Fastly through Google Cloud Marketplace to streamline deployments and billing. The company is also incorporating AI into its apps using Google Kubernetes Engine and exploring advances with Gemini and Vertex AI to further improve customer experiences and content delivery.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Infosys achieves a 5–7 percent effort reduction across projects
Infosys, a global leader in consulting, technology, and outsourcing solutions, was facing significant challenges in application development and maintenance due to its distributed teams, changing business priorities and the need to stay in alignment with customer needs. The company used a mix of open source, home-grown and third-party applications to support application development projects. However, challenges resulting from distributed teams using manual processes increased as the company grew. It became more and more important for Infosys to execute its projects efficiently, so they could improve quality, reduce defects and minimize delays.
Case Study
Arctic Wolf Envelops Teamworks with 24x7 Cybersecurity Protection and Comprehensive Visibility
Teamworks, a leading athlete engagement platform, faced rising cyberthreats and needed enhanced visibility into its network, servers, and laptops. With software developers connecting from all over the world, the company sought to improve its security posture and position itself for future growth. The company had a secure platform but recognized the need for a more proactive solution to identify gaps within its technology infrastructure. Data exfiltration and malicious access were top concerns, prompting the need for a comprehensive security upgrade.
Case Study
Sawback IT and Datto Save Client From a Costly Mistake
Ballistic Echo, a software development house, faced a critical challenge when human error led to the deletion of thousands of lines of unique code. This incident occurred before the code was pushed to source control, resulting in significant loss of time, revenue, and work. The previous file-level backup solution they used was slow and inefficient, making it nearly impossible to manually recreate the lost work. The need for a more reliable and efficient business continuity solution became evident to avoid such disasters in the future.
Case Study
Opal Helps Customers Shine Thanks to Datto
SP Flooring & Design Center faced a ransomware attack that encrypted and locked their files. The attack was initiated through a compromised service account set up by an outside vendor. The ransomware infection was isolated quickly, but there was a concern about the extent of the data at risk. The company had backups in place but was unsure of how much information was compromised. The situation required immediate action to prevent further damage and restore the affected data.
Case Study
Zapier Aggregates Multiple Analytics in a Single Dashboard with the New Relic Platform
Zapier, a company that enables non-technical users to push data between hundreds of web applications, was facing a challenge in automating and provisioning servers for optimal performance. The company's environment consisted of 50 Linux servers on the Amazon Elastic Compute Cloud (EC2), a Django application split across several servers, and a backend consisting of a dynamic number of celery task workers fed by messages published to a RabbitMQ cluster. They also maintained a number of internal web services on nginx in front of Gunicorn and Node.js processes. Redis handled simple key and value stores, with logging handled by Graylog2 and ElasticSearch. However, they realized that no level of automation would be sufficient without an effective monitoring solution in place. They needed a tool that could provide immediate alerts when something was breaking and could be easily implemented into their environment.
Case Study
Pipeline Insight Case Study: YARCDATA
YarcData faced challenges in determining the conversion rates of prospects into customers through various marketing efforts and identifying the source of its leads. They wanted to know the percentage of opportunities in the sales pipeline that came from different marketing events, web downloads, or self-sourced sales opportunities. Additionally, they needed the ability to drill down into the data to guide where to allocate more marketing dollars based on the success of previous efforts. Previously, YarcData relied heavily on spreadsheets and Salesforce.com reports, which made it difficult to extract the exact information they needed. This reliance on spreadsheets represented about 70% of their data presentation.