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.
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.
Here is another episode about using eBPF for Observability.
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🔗 Links:
- Scott Moore Consulting: https://scottmoore.consulting
- The Performance Tour: https://theperformancetour.com
- SMC Journal: https://smcjournal.com
- DevOps Driving: https://devopsdriving.com
- Security Champions https://thesecuritychampions.com
- DevPerfOps: https://devperfops.org
- PerfCruise: https://perfcruise.com