WideOps helped Papaya build their initial architecture from the ground up so that it was ready to manage billions of events, facilitate real-time analysis without delays, and generate reports within seconds.

The challenge

Papaya recognized the necessity of establishing monitoring capabilities to enable real-time responsiveness to problem events and effectively capitalize on slower hours. Previously, Papaya used Tableau which was cumbersome and slow. Due to Papaya’s rapid growth, this was insufficient for their needs. They were also looking for a full infrastructure build to prepare for rapid scale-up.

The solution

WideOps & Papaya setup infrastructure based on Pub/Sub, connected to BigQuery using Dataflow, facilitating real-time events analysis. By seamlessly ingesting production data into BigQuery through Cloud Storage, they could access near-real-time production data, ensuring rapid ingestion and almost real-time data visibility. Adding Looker allowed generating reports & real-time analyses in seconds.

The results

Papaya monitors performance at shorter intervals, in order to quickly react to anomalies. Thanks to WideOps and Google Cloud, Papaya stands as one of a few gaming companies with data updated within the hour. Real-time data updates are crucial for live trend detection. It empowers Papaya’s team to promptly respond and gain insights into performance drops, facilitating necessary adjustments.

“Complemented by WideOps’ expert architecture, Google Cloud’s state-of-the-art services have modernized our deployment processes, ensuring both resilience and scalability. Google Cloud’s unwavering support has empowered us to deliver an unparalleled gaming experience, illuminating the transformative potential of cloud technology in our industry.”

— Guy Yarkoni Head Of Analytics & BI, Papaya