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Linux Observability with BPF Advanced Programming for Performance Analysis and Networking 1st Edition by David Calavera, Lorenzo Fontana ISBN 9781492050209 1492050202

Name: Linux Observability with BPF Advanced Programming for Performance Analysis and Networking 1st Edition by David Calavera, Lorenzo Fontana ISBN 9781492050209 1492050202
SKU: EB-34488470
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Linux Observability with BPF Advanced Programming for Performance Analysis and Networking 1st Edition Calavera Digital Instant Download

Author(s): Calavera, David, Fontana, Lorenzo

ISBN(s): 9781492050209, 1492050202

Edition: 1

File Details: PDF, 2.94 MB

Year: 2019

Language: English

SKU: EB-34488470 Category: Computers - Networking Tags: Calavera, David, Fontana, Lorenzo

Description

Linux Observability with BPF Advanced Programming for Performance Analysis and Networking 1st Edition by David Calavera, Lorenzo Fontana – Ebook PDF Instant Download/Delivery: 9781492050209 ,1492050202
Full download Linux Observability with BPF Advanced Programming for Performance Analysis and Networking 1st Edition after payment

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ISBN 10: 1492050202
ISBN 13: 9781492050209
Author: David Calavera, Lorenzo Fontana

Build your expertise in the BPF virtual machine in the Linux kernel with this practical guide for systems engineers. You’ll not only dive into the BPF program lifecycle but also learn to write applications that observe and modify the kernel’s behavior; inject code to monitor, trace, and securely observe events in the kernel; and more. Authors David Calavera and Lorenzo Fontana help you harness the power of BPF to make any computing system more observable. Familiarize yourself with the essential concepts you’ll use on a day-to-day basis and augment your knowledge about performance optimization, networking, and security. Then see how it all comes together with code examples in C, Go, and Python. Write applications that use BPF to observe and modify the Linux kernel’s behavior on demand Inject code to monitor, trace, and observe events in the kernel in a secure way—no need to recompile the kernel or reboot the system Explore code examples in C, Go, and Python Gain a more thorough understanding of the BPF program lifecycle

Linux Observability with BPF Advanced Programming for Performance Analysis and Networking 1st Edition Table of contents:

1. Introduction

BPF’s History

Architecture

Conclusion

2. Running Your First BPF Programs

Writing BPF Programs

BPF Program Types

Socket Filter Programs

Kprobe Programs

Tracepoint Programs

XDP Programs

Perf Event Programs

Cgroup Socket Programs

Cgroup Open Socket Programs

Socket Option Programs

Socket Map Programs

Cgroup Device Programs

Socket Message Delivery Programs

Raw Tracepoint Programs

Cgroup Socket Address Programs

Socket Reuseport Programs

Flow Dissection Programs

Other BPF Programs

The BPF Verifier

BPF Type Format

BPF Tail Calls

Conclusion

3. BPF Maps

Creating BPF Maps

ELF Conventions to Create BPF Maps

Working with BFP Maps

Updating Elements in a BPF Map

Reading Elements from a BPF Map

Removing an Element from a BPF Map

Iterating Over Elements in a BPF Map

Looking Up and Deleting Elements

Concurrent Access to Map Elements

Types of BPF Maps

Hash-Table Maps

Array Maps

Program Array Maps

Perf Events Array Maps

Per-CPU Hash Maps

Per-CPU Array Maps

Stack Trace Maps

Cgroup Array Maps

LRU Hash and Per-CPU Hash Maps

LPM Trie Maps

Array of Maps and Hash of Maps

Device Map Maps

CPU Map Maps

Open Socket Maps

Socket Array and Hash Maps

Cgroup Storage and Per-CPU Storage Maps

Reuseport Socket Maps

Queue Maps

Stack Maps

The BPF Virtual Filesystem

Conclusion

4. Tracing with BPF

Probes

Kernel Probes

Tracepoints

User-Space Probes

User Statically Defined Tracepoints

Visualizing Tracing Data

Flame Graphs

Histograms

Perf Events

Conclusion

5. BPF Utilities

BPFTool

Installation

Feature Display

Inspecting BPF Programs

Inspecting BPF Maps

Inspecting Programs Attached to Specific Interfaces

Loading Commands in Batch Mode

Displaying BTF Information

BPFTrace

Installation

Language Reference

Filtering

Dynamic Mapping

kubectl-trace

Installation

Inspecting Kubernetes Nodes

eBPF Exporter

Installation

Exporting Metrics from BPF

Conclusion

6. Linux Networking and BPF

BPF and Packet Filtering

tcpdump and BPF Expressions

Packet Filtering for Raw Sockets

BPF-Based Traffic Control Classifier

Terminology

Traffic Control Classifier Program Using cls_bpf

Differences Between Traffic Control and XDP

Conclusion

7. Express Data Path

XDP Programs Overview

Operation Modes

The Packet Processor

XDP and iproute2 as a Loader

XDP and BCC

Testing XDP Programs

XDP Testing Using the Python Unit Testing Framework

XDP Use Cases

Monitoring

DDoS Mitigation

Load Balancing

Firewalling

Conclusion

8. Linux Kernel Security, Capabilities, and Seccomp

Capabilities

Seccomp

Seccomp Errors

Seccomp BPF Filter Example

BPF LSM Hooks

Conclusion

9. Real-World Use Cases

Sysdig eBPF God Mode

Flowmill

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Tags: David Calavera, Lorenzo Fontana, Linux Observability, Performance Analysis, Networking