خرید و دانلود نسخه کامل کتاب The eBPF Handbook: Mastering Linux Kernel Observability, Networking, and Security

Unleash eBPF (extended Berkeley Packet Filter), the Linux kernel technology revolutionizing system insights. Run safe, programmable code directly in the kernel for unparalleled observability, networking, and security without reboots. eBPF empowers Kubernetes deployments, container security, low-latency networking, and real-time threat detection. Authored by an experienced professional with deep expertise in deploying eBPF in high-scale production, this handbook distills years of practical knowledge and insights from the vibrant eBPF open-source community.The eBPF Handbook is your comprehensive guide to understanding, building, and deploying eBPF applications. Master Linux kernel introspection, high-performance networking, and proactive security. Learn core eBPF architecture, BCC, bpftrace, and CO-RE. Explore cutting-edge uses with Cilium, Falco, and Tetragon. Discover user-space eBPF, AI/ML integration, and how to contribute to this evolving ecosystem.What’s Inside:eBPF Fundamentals: Verifier, JIT, maps, helpers.Observability: Low-overhead performance monitoring, profiling, tracing for Linux, Kubernetes, cloud-native apps.Networking: eBPF-powered policies, load balancing, XDP.Security: In-kernel enforcement, RASP, container security monitoring.Development: Write eBPF in C, Python, Go.Future Trends: User-space eBPF, AI/ML, innovation.Community: eBPF Foundation, open-source contribution.Essential for Linux engineers, DevOps, SREs, cloud architects, cybersecurity analysts, and software developers aiming to enhance system visibility, build secure cloud infrastructure, and optimize containerized workloads. Basic Linux and C recommended.Stay current in Linux kernel development and cloud-native technologies. This book provides latest eBPF knowledge and trending best practices for 2024 and beyond.Transform your Linux systems and elevate security. Order your copy of The eBPF Handbook today and become an eBPF master!Character Count (approx): 1490 characters (This should comfortably fit within Amazon’s limits while retaining strong keywords and a clear message.)