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BPF Performance Tools - Brendan Gregg - Bog - Pearson Education (US) - Plusbog.dk

BPF Performance Tools - Brendan Gregg - Bog - Pearson Education (US) - Plusbog.dk

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.

DKK 481.00
4

Learn Enough Developer Tools to Be Dangerous - Michael Hartl - Bog - Pearson Education (US) - Booktok.dk

Learn Enough Developer Tools to Be Dangerous - Michael Hartl - Bog - Pearson Education (US) - Booktok.dk

All You Need to Know, and Nothing You Don''t, About Core Tools for Software Development Three of the core tools needed for modern software development are the Unix command line, a text editor, and version control with Git. But you don''t need to learn "everything" about them, just how to use them efficiently to solve real problems. In Learn Enough Developer Tools to Be Dangerous, renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need so you can learn to write apps, get hired, collaborate, and maybe even launch your own company. Even if you''ve never used (or even heard of ) these tools before, Hartl helps you quickly build technical sophistication and master the lore you need to succeed. Focused exercises help you internalize what matters, without wasting time on details pros don''t care about. Soon, it''ll be like you were born knowing this stuff--and you''ll be suddenly, seriously dangerous . Learn enough about . . . - - Running a terminal, entering and editing commands, and using man pages - - Manipulating and inspecting files: from basic copying to finding patterns - - Organizing files with directories - - Learning Minimum Viable Vim - - Basic and advanced editing techniques with editors like Atom and VS Code - - Using the human-readable Markdown language for writing quick documentation - - Formatting source code and writing executable scripts - - Getting started with Git and GitHub - - Using key Git workflows: commit, push, branch, merge, and more - - Collaborating on Git projects and resolving code conflicts - - Setting up dev environments: macOS, Linux, Windows, and cloud - Michael Hartl''s Learn Enough series includes books and video courses that focus on the most important parts of each subject, so you don''t have to learn everything to get started--you just have to learn enough to be dangerous and solve technical problems yourself. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

DKK 356.00
2

Digital VLSI Chip Design with Cadence and Synopsys CAD Tools - David Harris - Bog - Pearson Education (US) - Plusbog.dk

MOS Study Guide for Microsoft Outlook Exam MO-400 - Joan Lambert

Masonry Trainee Guide, Level 1 - Nccer - Bog - Pearson Education (US) - Booktok.dk

Industrial Maintenance Mechanic, Level 3 - Nccer - Bog - Pearson Education (US) - Booktok.dk

Data Science Foundations Tools and Techniques - Michael Freeman - Bog - Pearson Education (US) - Plusbog.dk

Data Science Foundations Tools and Techniques - Michael Freeman - Bog - Pearson Education (US) - Plusbog.dk

The Foundational Hands-On Skills You Need to Dive into Data Science “Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills.” –From the foreword by Jared Lander, series editor Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience. Leading instructors Michael Freeman and Joel Ross guide you through installing and configuring the tools you need to solve professional-level data science problems, including the widely used R language and Git version-control system. They explain how to wrangle your data into a form where it can be easily used, analyzed, and visualized so others can see the patterns you’ve uncovered. Step by step, you’ll master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales. Freeman and Ross teach through practical examples and exercises that can be combined into complete data science projects. Everything’s focused on real-world application, so you can quickly start analyzing your own data and getting answers you can act upon. Learn to - - Install your complete data science environment, including R and RStudio - - Manage projects efficiently, from version tracking to documentation - - Host, manage, and collaborate on data science projects with GitHub - - Master R language fundamentals: syntax, programming concepts, and data structures - - Load, format, explore, and restructure data for successful analysis - - Interact with databases and web APIs - - Master key principles for visualizing data accurately and intuitively - - Produce engaging, interactive visualizations with ggplot and other R packages - - Transform analyses into sharable documents and sites with R Markdown - - Create interactive web data science applications with Shiny - - Collaborate smoothly as part of a data science team - Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

DKK 372.00
2

MOS Study Guide for Microsoft Access Expert Exam MO-500 - Paul Mcfedries - Bog - Pearson Education (US) - Booktok.dk

Short Guide to Writing About Chemistry, A - Julian Tyson - Bog - Pearson Education (US) - Plusbog.dk

MOS Study Guide for Microsoft Excel Exam MO-200 - Joan Lambert - Bog - Pearson Education (US) - Booktok.dk

Instrumentation Trainee Guide, Level 1 - Nccer - Bog - Pearson Education (US) - Booktok.dk