Using Log Data Streams for Real Time Analytics: 4 Common Use Cases



Web applications today are part of every IT operation within an organization.

Independent software vendors (ISV) as well as enterprises create web applications to support their customers, employees and even suppliers. All in all, the goal of these applications is to deliver a service, complete a transaction, support efficient and effective business operations, and directly impact company revenues and operational margins.

In 2009, Paypal went offline for over an hour due to a network infrastructure failure. At the time, Paypal was processing about $2,000 in payments every second, which meant its hour offline resulted in about $7.2 million in lost transactions. According to an Aberdeen research study, this type of downtime costs over $150K per hour, and the average recovery time is 5.13 hours. In severe cases such as Paypal’s, IT teams, which include operations and development, need to know what’s wrong—and fast. In these moments, a team’s ability to collect, analyze, and understand data in real-time is fundamental to resolving the cause of the problem, taking action and validating remediation. In this article, we define real-time analytics and demonstrate how log data from different layers of your systems and application stack can enable real-time analytics and response.

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Posted in Log Analysis, Log Management

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