Cloud-Native Observability with OpenTelemetry. Learn to gain visibility into systems by combining tracing, metrics, and logging with OpenTelemetry

Alex Boten, Charity Majors

Cloud-Native Observability with OpenTelemetry is a guide to helping you look for answers to questions about your applications. This book teaches you how to produce telemetry from your applications using an open standard to retain control of data. OpenTelemetry provides the tools necessary for you to gain visibility into the performance of your services. It allows you to instrument your application code through vendor-neutral APIs, libraries and tools.By reading Cloud-Native Observability with OpenTelemetry, you’ll learn about the concepts and signals of OpenTelemetry - traces, metrics, and logs. You’ll practice producing telemetry for these signals by configuring and instrumenting a distributed cloud-native application using the OpenTelemetry API. The book also guides you through deploying the collector, as well as telemetry backends necessary to help you understand what to do with the data once it's emitted. You’ll look at various examples of how to identify application performance issues through telemetry. By analyzing telemetry, you’ll also be able to better understand how an observable application can improve the software development life cycle.By the end of this book, you’ll be well-versed with OpenTelemetry, be able to instrument services using the OpenTelemetry API to produce distributed traces, metrics and logs, and more.

Building Mapping Applications with QGIS. Create your own sophisticated applications to analyze and display geospatial information using QGIS and Python

Erik Westra

Design Principles for Process-driven Architectures Using Oracle BPM and SOA Suite 12c. A design handbook to orchestrate and manage flexible process-driven systems with Oracle BPM and SOA Suite 12c

Matjaz B Juric, Danilo Schmiedel, Mark Simpson, Torsten Winterberg, ...

Learning AngularJS Animations. Enhance user experience with awesome animations in AngularJS using CSS and JavaScript

Richard Keller

Machine Learning Engineering with Python. Manage the lifecycle of machine learning models using MLOps with practical examples - Second Edition

Andrew P. McMahon, Adi Polak

The Second Edition of Machine Learning Engineering with Python is the practical guide that MLOps and ML engineers need to build solutions to real-world problems. It will provide you with the skills you need to stay ahead in this rapidly evolving field.The book takes an examples-based approach to help you develop your skills and covers the technical concepts, implementation patterns, and development methodologies you need. You'll explore the key steps of the ML development lifecycle and create your own standardized model factory for training and retraining of models. You'll learn to employ concepts like CI/CD and how to detect different types of drift.Get hands-on with the latest in deployment architectures and discover methods for scaling up your solutions. This edition goes deeper in all aspects of ML engineering and MLOps, with emphasis on the latest open-source and cloud-based technologies. This includes a completely revamped approach to advanced pipelining and orchestration techniques.With a new chapter on deep learning, generative AI, and LLMOps, you will learn to use tools like LangChain, PyTorch, and Hugging Face to leverage LLMs for supercharged analysis. You will explore AI assistants like GitHub Copilot to become more productive, then dive deep into the engineering considerations of working with deep learning.

Rancher Deep Dive. Manage enterprise Kubernetes seamlessly with Rancher

Matthew Mattox

Knowing how to use Rancher enables you to manage multiple clusters and applications without being locked into a vendor’s platform. This book will guide you through Rancher’s capabilities while deepening your understanding of Kubernetes and helping you to take your applications to a new level.The book begins by introducing you to Rancher and Kubernetes, helping you to learn and implement best practices. As you progress through the chapters, you’ll understand the strengths and limitations of Rancher and Kubernetes and discover all the different ways to deploy Rancher. You’ll also find out how to design and deploy Kubernetes clusters to match your requirements. The concluding chapters will show you how to set up a continuous integration and continuous deployment (CI/CD) pipeline for deploying applications into a Rancher cluster, along with covering supporting services such as image registries and Helm charts.By the end of this Kubernetes book, you’ll be able to confidently deploy your mission-critical production workloads on Rancher-managed Kubernetes clusters.

Learn Blender Simulations the Right Way. Create attractive and realistic animations with Mantaflow, rigid and soft bodies, and Dynamic Paint

Stephen Pearson

Blender is a free, open source 3D software that allows you to create stunning visual graphics, animation, VFX, and much more!This book is an in-depth guide to creating realistic and eye-catching simulations, understanding the various settings and options around their creation, and learning how to troubleshoot solutions to your own Blender problems. In addition, this book can also be used to simulate the behavior of certain physics effects, such as fire, fluid, soft bodies, and rigid bodies.You’ll learn how to use Mantaflow, an open source framework within Blender software, to create fire, smoke, and fluid simulations. As you progress, you’ll understand how to easily produce satisfying rigid and soft body simulations, along with cloth simulations. Finally, you’ll use Dynamic Paint, Blender’s modifier, and the physics system to create eye-catching animations.By the end of this Blender book, you’ll have created a number of animations on your own, such as a campfire, waterfalls, and explosions. You’ll also have gained a deeper understanding of all the simulation options in Blender, which you can use to create portfolio-ready animations.

Linux for System Administrators. Navigate the complex landscape of the Linux OS and command line for effective administration

Viorel Rudareanu, Daniil Baturin

Linux system administration is an essential aspect of maintaining and managing Linux servers within an organization. The role of a Linux system administrator is pivotal in ensuring the smooth functioning and security of these servers, making it a critical job function for any company that relies on Linux infrastructure.This book is a comprehensive guide designed to help you build a solid foundation in Linux system administration. It takes you from the fundamentals of Linux to more advanced topics, encompassing key areas such as Linux system installation, managing user accounts and filesystems, networking fundamentals, and Linux security techniques. Additionally, the book delves into the automation of applications and infrastructure using Chef, enabling you to streamline and optimize your operations.For both newcomers getting started with Linux and professionals looking to enhance their skills, this book is an invaluable hands-on guide with a structured approach and concise explanations that make it an effective resource for quickly acquiring and reinforcing Linux system administration skills. With the help of this Linux book, you’ll be able to navigate the world of Linux administration confidently to meet the demands of your role.