When it comes to streaming data analytics, achieving shorter action times and insights is extremely important. A few minutes of service downtime can be extremely expensive for mission-critical applications and can impact on your business. In scenarios where you may have less than a second to identify and stop a fraudulent credit card transaction before it goes through, raise an alert based on a health event from a device monitoring the vitals of a patient, or halt an overheated engine before it results in major damage, service availability and uptime are of the highest importance. Hence, in comparison to the traditional world of batch analytics, you may not have the luxury of time to troubleshoot issues or perform root cause analysis when something goes wrong, or an unexpected event happens.
With that said, let's explore some of the key monitoring and diagnosis features provided by Azure, and understand how they can save you a ton...