US crypto exchange Coinbase uses artificial intelligence to limit potential downtime during times of high traffic.
Coin base say it has implemented a machine learning model that “predicts spikes in user traffic” and automatically deploys more server resources to avoid potential outages.
“Crypto markets can be volatile. On the Coinbase platform, spikes in user activity and traffic can occur suddenly and quickly and then disappear just as quickly. We deal with those changing traffic patterns and workloads by scaling up and adding resources during times of high traffic, and then scaling back to normal after the peak traffic has passed.”
According to Coinbase, the machine learning model has proven its effectiveness during the recent crypto market volatility, when user traffic rose above regular levels.
“As traffic increased, so did our scale target, doubling twice a few hours before peak traffic. The model continued to scale up and down with daily usage patterns until volatility decreased and there was no longer a need to scale.”
Coinbase says its machine learning model uses both platform load and external signals, including the fluctuations in the prices of digital assets such as Bitcoin (BTC) and Ethereum (ETH) to determine when to deploy additional server resources.
“The key insight: If cryptocurrency price volatility is high and current traffic is approaching the target level faster than expected, then the likelihood of a traffic spike increases.”
During the last cycle, Coinbase experienced widespread outages after user traffic increased by approximately 400%. At the time, Coinbase said it would come up with new solutions to minimize downtime.
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