Why a purpose-built time series database?

Time-stamped data is ingested, collected, and transformed by developers to trigger workflows or alerts. The data includes measurements or events that are tracked, monitored, downsampled, and aggregated over time.

Why InfluxDB for gaming?

Gaming has grown into a multibillion-dollar industry with over 2.9 billion gamers worldwide. Whether you work for a AAA design studio, run networks for old-school MMORPGs, or design and deliver new and innovative gaming hardware, the explosion in player demands and technology challenges can quickly overwhelm your teams and technology alike. Gaming organizations need to ensure games are performant through better infrastructure and network monitoring.

Avoiding common growth pitfalls

It’s easy to get tunnel vision when your game has gone viral, and you are scrambling to hire, market, and monetize. Too many promising gaming startups end up as has-beens because they failed early on to consider their most significant asset: real-time streams of data from their software, infrastructure, and players.

How InfluxDB can help

Developers use InfluxDB to capture, store, and analyze this data and provide their teams with the visibility and insights they need to ensure games perform, SLA uptimes are met, the infrastructure doesn’t crash, and players stay engaged. Integrating game data is as easy as plugging into your existing streams of logs, metrics, and traces with one of our 300+ integrations and your own APIs.

InfluxDB stores all of the data using a time series index, which means that the precise time (to the nanosecond if needed) is retained and used to organize, order, and analyze the events that represent the activity of your technology and players. Analyze and report on this data using InfluxDB to improve framerate performance, reduce lag, or identify bots and other cheats—the possibilities are only limited by your and your team’s imagination and curiosity.

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“Why InfluxDB? For Playtech, it was very important to have observability; to understand system behavior to predict possible outages and problems in the very early stages.”

Aleksandr Tavgen
Technical Architect, Playtech