Datadog announced Forecasts, a new feature that predicts when performance and stability issues will occur within cloud applications.
While traditional monitoring solutions alert IT operations and engineering teams after a problem has already impacted user-experience and revenue-generating operations, Forecasts leverages artificial intelligence to alert teams days, weeks, or months in advance.
In highly distributed and dynamic cloud environments, planning for future performance issues and avoiding downtime can be difficult and labor-intensive. By applying machine-learning algorithms to massive amounts of data, Datadog can generate predictive analytics on everything from application performance to custom business metrics. This will reduce uncertainty and increase efficiency for businesses, putting the focus on actionable insights instead of troubleshooting problems after customers have already been impacted.
“Today, DevOps teams often receive critical alerts after their customers have been negatively impacted,” said Brad Menezes, Datadog’s Product Manager for AI and Machine Learning. “Our forecasting algorithms have been fine-tuned based on trillions of data points across hundreds of thousands of servers daily. We can predict where a metric will be in the future, taking into account historical patterns, and notify users with plenty of time to prevent any negative impact. This directly translates into dollars saved and better user experiences – something every organization needs.”
Forecasts is now available for all Datadog customers.
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