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Time Series data at Capital One consists of Infrastructure, Application, and Business Process Metrics. The combination of these metrics are what the internal stakeholders rely on for observability which allows them to deliver better service and uptime for their customers, so protecting this critical data with a proven and tested recovery plan is not a “nice to have” but a “must have.”
In this talk, the members of IT staff, Saravanan Krisharaju, Rajeev Tomer, and Karl Daman will share how they built a fault-tolerant solution based on InfluxEnterprise and AWS that collects and stores metrics and events. They added to this, Machine Learning, which uses the collected time series to model predictions which are then brought back into InfluxDB time series database for real-time access. This Capital One team shares the journey they took to architect and build this solution as well as plan and execute on their disaster recovery plan.