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Learning EBPF

2023-03-07 Computers
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Release : 2023-03-07
Genre : Computers
Kind : eBook
Book Rating : 091/5 ( reviews)

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Book Synopsis Learning EBPF by : Liz Rice

Download or read book Learning EBPF written by Liz Rice. This book was released on 2023-03-07. Available in PDF, EPUB and Kindle. Book excerpt: What is eBPF? With this revolutionary technology, you can write custom code that dynamically changes the way the kernel behaves. It's an extraordinary platform for building a whole new generation of security, observability, and networking tools. This practical book is ideal for developers, system administrators, operators, and students who are curious about eBPF and want to know how it works. Author Liz Rice, chief open source officer with cloud native networking and security specialists Isovalent, also provides a foundation for those who want to explore writing eBPF programs themselves. With this book, you will: Learn why eBPF has become so important in the past couple of years Write basic eBPF code, and manipulate eBPF programs and attach them to events Explore how eBPF components interact with Linux to dynamically change the operating system's behavior Learn how tools based on eBPF can instrument applications without changes to the apps or their configuration Discover how this technology enables new tools for observability, security, and networking

BPF Performance Tools

2019-11-27 Computers
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Release : 2019-11-27
Genre : Computers
Kind : eBook
Book Rating : 588/5 ( reviews)

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Book Synopsis BPF Performance Tools by : Brendan Gregg

Download or read book BPF Performance Tools written by Brendan Gregg. This book was released on 2019-11-27. Available in PDF, EPUB and Kindle. Book excerpt: Use BPF Tools to Optimize Performance, Fix Problems, and See Inside Running Systems BPF-based performance tools give you unprecedented visibility into systems and applications, so you can optimize performance, troubleshoot code, strengthen security, and reduce costs. BPF Performance Tools: Linux System and Application Observability is the definitive guide to using these tools for observability. Pioneering BPF expert Brendan Gregg presents more than 150 ready-to-run analysis and debugging tools, expert guidance on applying them, and step-by-step tutorials on developing your own. You’ll learn how to analyze CPUs, memory, disks, file systems, networking, languages, applications, containers, hypervisors, security, and the kernel. Gregg guides you from basic to advanced tools, helping you generate deeper, more useful technical insights for improving virtually any Linux system or application. • Learn essential tracing concepts and both core BPF front-ends: BCC and bpftrace • Master 150+ powerful BPF tools, including dozens created just for this book, and available for download • Discover practical strategies, tips, and tricks for more effective analysis • Analyze compiled, JIT-compiled, and interpreted code in multiple languages: C, Java, bash shell, and more • Generate metrics, stack traces, and custom latency histograms • Use complementary tools when they offer quick, easy wins • Explore advanced tools built on BPF: PCP and Grafana for remote monitoring, eBPF Exporter, and kubectl-trace for tracing Kubernetes • Foreword by Alexei Starovoitov, creator of the new BPF BPF Performance Tools will be an indispensable resource for all administrators, developers, support staff, and other IT professionals working with any recent Linux distribution in any enterprise or cloud environment.

Learning Modern Linux

2022-04-15 Computers
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Release : 2022-04-15
Genre : Computers
Kind : eBook
Book Rating : 892/5 ( reviews)

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Book Synopsis Learning Modern Linux by : Michael Hausenblas

Download or read book Learning Modern Linux written by Michael Hausenblas. This book was released on 2022-04-15. Available in PDF, EPUB and Kindle. Book excerpt: If you use Linux in development or operations and need a structured approach to help you dive deeper, this book is for you. Author Michael Hausenblas also provides tips and tricks for improving your workflow with this open source operating system. Whether you're a developer, software architect, or site reliability engineer, this hands-on guide focuses on ways to use Linux for your everyday needs, from development to office-related tasks. Along the way, you'll gain hands-on experience with modern Linux terminals and shells, and learn how to manage your workloads. You'll understand how to run Linux applications by using containers, systemd, modern filesystems, and immutable distros such as Flatcar and Bottlerocket. Use Linux as a modern work environment, rather than just from an admin perspective Learn critical components such as the Linux kernel, terminal multiplexer, human-friendly shells, and portable shell scripting Become familiar with access control, from file permissions to capabilities, and understand the role of filesystems as a fundamental building block Learn about application dependency management and containers Gain hands-on experience with the Linux networking stack and tooling, including DNS Apply modern operating system observability to manage your workloads Become familiar with interprocess communication, virtual machines, and selected security topics

TinyML for Edge Intelligence in IoT and LPWAN Networks

2024-06-17 Computers
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Release : 2024-06-17
Genre : Computers
Kind : eBook
Book Rating : 037/5 ( reviews)

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Book Synopsis TinyML for Edge Intelligence in IoT and LPWAN Networks by : Bharat S Chaudhari

Download or read book TinyML for Edge Intelligence in IoT and LPWAN Networks written by Bharat S Chaudhari. This book was released on 2024-06-17. Available in PDF, EPUB and Kindle. Book excerpt: Recently, Tiny Machine Learning (TinyML) has gained incredible importance due to its capabilities of creating lightweight machine learning (ML) frameworks aiming at low latency, lower energy consumption, lower bandwidth requirement, improved data security and privacy, and other performance necessities. As billions of battery-operated embedded IoT and low power wide area networks (LPWAN) nodes with very low on-board memory and computational capabilities are getting connected to the Internet each year, there is a critical need to have a special computational framework like TinyML. TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to IoT and LPWANs. It starts by providing the foundations of IoT/LPWANs, low power embedded systems and hardware, the role of artificial intelligence and machine learning in communication networks in general and cloud/edge intelligence. It then presents the concepts, methods, algorithms and tools of TinyML. Practical applications of the use of TinyML are given from health and industrial fields which provide practical guidance on the design of applications and the selection of appropriate technologies. TinyML for Edge Intelligence in IoT and LPWAN Networks is highly suitable for academic researchers and professional system engineers, architects, designers, testers, deployment engineers seeking to design ultra-lower power and time-critical applications. It would also help in designing the networks for emerging and future applications for resource-constrained nodes. This book provides one-stop solutions for emerging TinyML for IoT and LPWAN applications. The principles and methods of TinyML are explained, with a focus on how it can be used for IoT, LPWANs, and 5G applications. Applications from the healthcare and industrial sectors are presented. Guidance on the design of applications and the selection of appropriate technologies is provided.

Modern Network Observability

2024-10-11 Computers
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Release : 2024-10-11
Genre : Computers
Kind : eBook
Book Rating : 17X/5 ( reviews)

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Book Synopsis Modern Network Observability by : David Flores

Download or read book Modern Network Observability written by David Flores. This book was released on 2024-10-11. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use modern monitoring tools for building network observability solutions that enhance operations and promote an effective automation strategy, with step-by-step guidance and practical examples Key Features Craft a dynamic observability stack with real-world, practical applications Build intuitive dashboards and alerts by collecting and normalizing diverse network data Leverage observability data to strengthen automation strategies for network operations Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs modern IT services and software architectures such as microservices rely increasingly on network performance, the relevance of networks has never been greater. Network observability has emerged as a critical evolution of traditional monitoring, providing the deep visibility needed to manage today’s complex, dynamic environments. In Modern Network Observability, authors David Flores, Christian Adell, and Josh VanDeraa share their extensive experience to guide you through building and deploying a flexible observability stack using open-source tools. This book begins by addressing the limitations of monolithic monitoring solutions, showing you how to transform them into a composable, flexible observability stack. Through practical implementations, you’ll learn how to collect, normalize, and analyze network data from diverse sources, build intuitive dashboards, and set up actionable alerts that help you stay ahead of potential issues. Later, you’ll cover advanced topics, such as integrating observability data into your network automation strategy, ensuring your network operations align with business objectives. By the end of this book, you'll be able to proactively manage your network, minimize downtime, and ensure resilient, efficient, and future-proof operations.What you will learn Collect and normalize data from various sources using Telegraf and Logstash Enrich operational data with crucial context from a Source of Truth such as Nautobot Visualize data and create insightful dashboards with Grafana Automate alerts and responses for your network operations strategy using Prefect Understand when to build or buy an observability stack, with tips and best practices Explore practical machine learning techniques to enhance observability data value Who this book is for This book is for all network engineering roles such as network analysts, administrators, architects, security personnel, support staff, and managers working in both on-premises and cloud environments who are tasked with implementing or using network monitoring solutions. Basic programming knowledge in Python and Go, familiarity with networking concepts, and a fundamental understanding of Docker containers for lab scenarios will be required.

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