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Using eBPF for Better Kubernetes Performance
Manage episode 430395397 series 3521006
SMC Journal에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 SMC Journal 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
eBPF is a powerful tool for improving performance in Kubernetes and microservices, providing real-time analysis and management, but its complexity may be a barrier for some developers. Donald Lutz shares his experience using it, and some of the pitfalls to watch out for on this SMC Journal #podcast.
Key Insights on eBPF Performance
🚀 The use of eBPF can help avoid the complexity and issues with sidecars in #Kubernetes, making it ideal for running on container machines.
📊 The best use case for using eBPF is to measure the performance of interconnected microservices in a complicated system, tying it into tools like Jaeger for comprehensive performance analysis.
📊 The struggle with measuring and understanding the performance of #microservices across multiple clusters highlights the need for better performance #monitoring tools.
🌐 eBPF is not just about performance, but also about broader applications such as observability and there are conferences dedicated to it.
🛡 Making decisions at a low level without adding security overhead is a huge advantage in network #performance and security.
🔄 Turning the ship around to prioritize performance requires making #DevOps native and changing the way development has ignored the issue.
🚀 Performance is vital in technology, dropping phone calls is not super cool.
🕰️ The future of #eBPF adoption depends on how quickly it can be made accessible to a broader range of users.
#softwareengineering #performanceengineering
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