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Monitor and Automatically Improve Kubernetes Performance: Best Practices

Presented by

Alex, Pierce, Pepperdata Field Engineer

About this talk

Complex applications running on Kubernetes containers scale rapidly, but monitoring, managing, and optimizing Kubernetes performance in a sprawling production environment also brings unique monitoring challenges and visibility gaps. These challenges make it hard to detect and troubleshoot Kubernetes issues while managing performance. Join this discussion of best practices for monitoring and improving Kubernetes visibility and performance. You’ll learn how to: - Overcome the challenges of Kubernetes performance management. - Meet the demands of both complex and new microservices apps while maintaining legacy apps. - Deploy, manage, monitor, and simplify big data analytics monitoring, platform monitoring, and dynamic optimization. - Utilize five best practices to improve Kubernetes performance and reduce your overall spend.
Pepperdata

Pepperdata

6421 subscribers3 talks
Real-time, automated cloud cost optimization with no manual tuning
Pepperdata Capacity Optimizer delivers 30-47% greater cost savings for data-intensive workloads, eliminating the need for manual tuning by optimizing CPU and memory in real time with no application changes. Pepperdata pays for itself, immediately decreasing instance hours/waste, increasing utilization, and freeing developers from manual tuning to focus on innovation.
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