Crystal-clear visibility into cloud spend at the workload and tenant level
- Days
- Time to first cost insights after install
- Days
- From install to powerful cost reporting
- Workload & tenant
- Granularity of cost visibility
Meet Crazy Labs
Crazy Labs creates interactive books, games, and educational apps with 600 million downloads and 40 million monthly active users. Since it was founded in 2010, the company has released over 350 apps for kids on iOS, Android, and Windows. Headquartered in Israel, TabTale has offices in the U.S., China, Macedonia, Bulgaria, Serbia, and Ukraine.
The Challenge
Crazy Labs relied on third-party services for scoreboards, user registration, social media integrations and more for its 350+ apps. They wanted to build their own mobile gaming backend to consolidate and unify gaming data for all platforms. The company needed scalable, low-maintenance infrastructure so they could focus on building games rather than running backups, adding servers during traffic spikes, and load balancing.
The Solution
Crazy Labs chose Google App Engine and developed its backend in Go. App Engine allowed faster development with almost no learning curve. The platform automatically handles code deployment, switches live traffic to new versions while maintaining existing user sessions, and collects billions of application logs into BigQuery for analysis. Data analysts use BigQuery to analyze gameplay and suggest improvements using standard SQL queries.
Results
- Delivered new backend features 10x faster without infrastructure maintenance
- Reduced service provisioning time from days to seconds
- Unified gaming data from 350+ apps on a single platform
- Enabled real-time analysis of terabytes of gameplay data in seconds
Our ability to provision new services in seconds saves us a lot of time, since it used to take days. The gaming industry is characterized by short-term projects, so it's important for us to have a backend that is flexible and works fast.
Lior Malenboim, VP Production Engineering
Deployment and Testing
When Crazy Labs launches a new version, they send it to 5 percent of users, so they can make sure everything works smoothly before pushing the change to the entire user base. This allows them to easily revert to an older version in a matter of seconds if something goes wrong in the new one. App Engine also automatically collects and stores tens of billions of application logs and ingests them into BigQuery, so Crazy Labs can analyze them if an issue crops up.
Data Analytics
Data analysts at Crazy Labs use BigQuery to analyze the gameplay and suggest improvements. Using standard SQL language, Crazy Labs runs queries on these terabytes of information in a few seconds to better understand and, if required, patch the game.
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Attribute™'s platform is truly unique. We now have crystal-clear visibility into our cloud spend at the workload and tenant level, and that insight has already led to actionable savings and powerful insights as we further scale our service.
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