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