Kubernetes observability will become table stakes for teams looking to minimize disruption, maintain velocity, and improve business performance. Observability is the idea of how long your team spends trying to understand a problem — how long does it take to recognize that an issue is taking place, identify the root cause and come up with a solution. Tracking overall health and dynamic behavior is critical. Tracking the usage level of specific customers can provide crucial intelligence when trying to solve a problem. Tracking API server stats, scheduler, and more to understand what’s happening at any given moment. Correlating log data and performance information can provide useful information to engineers when solving problems like nagging problems in the most common challenges in the cloud architecture of the system. . . .
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