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LLM Engineer's Handbook
LLM Engineer's Handbook
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9
By Paul Iusztin
October 2024 | 522 pages
Icon Build and refine LLMs step by step, covering data preparation, RAG, and fine-tuning
Icon Learn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production
Icon Utilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications
Understanding the LLM Twin Concept and Architecture Chevron down icon Chevron up icon
Tooling and Installation Chevron down icon Chevron up icon
Data Engineering Chevron down icon Chevron up icon
RAG Feature Pipeline Chevron down icon Chevron up icon
Supervised Fine-Tuning Chevron down icon Chevron up icon
Fine-Tuning with Preference Alignment Chevron down icon Chevron up icon
Evaluating LLMs Chevron down icon Chevron up icon
Inference Optimization Chevron down icon Chevron up icon
RAG Inference Pipeline Chevron down icon Chevron up icon
Inference Pipeline Deployment Chevron down icon Chevron up icon
MLOps and LLMOps Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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Building Agentic AI Systems
Building Agentic AI Systems
By Anjanava Biswas
April 2025 | 288 pages
Icon Understand the foundations and advanced techniques of building intelligent, autonomous AI agents
Icon Learn advanced techniques for reflection, introspection, tool use, planning, and collaboration in agentic systems
Icon Explore crucial aspects of trust, safety, and ethics in AI agent development and applications
Icon Purchase of the print or Kindle book includes a free PDF eBook
Part 1: Foundations of Generative AI and Agentic Systems Chevron down icon Chevron up icon
Chapter 1: Fundamentals of Generative AI Chevron down icon Chevron up icon
Chapter 2: Principles of Agentic Systems Chevron down icon Chevron up icon
Chapter 3: Essential Components of Intelligent Agents Chevron down icon Chevron up icon
Part 2: Designing and Implementing Generative AI-Based Agents Chevron down icon Chevron up icon
Chapter 4: Reflection and Introspection in Agents Chevron down icon Chevron up icon
Chapter 5: Enabling Tool Use and Planning in Agents Chevron down icon Chevron up icon
Chapter 6: Exploring the Coordinator, Worker, and Delegator Approach Chevron down icon Chevron up icon
Chapter 7: Effective Agentic System Design Techniques Chevron down icon Chevron up icon
Part 3: Trust, Safety, Ethics, and Applications Chevron down icon Chevron up icon
Chapter 8: Building Trust in Generative AI Systems Chevron down icon Chevron up icon
Chapter 9: Managing Safety and Ethical Considerations Chevron down icon Chevron up icon
Chapter 10: Common Use Cases and Applications Chevron down icon Chevron up icon
Chapter 11: Conclusion and Future Outlook Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
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Generative AI with Python and PyTorch
Generative AI with Python and PyTorch
By Joseph Babcock
March 2025 | 450 pages
Icon Implement real-world applications of LLMs and generative AI
Icon Fine-tune models with PEFT and LoRA to speed up training
Icon Expand your LLM toolbox with Retrieval Augmented Generation (RAG) techniques, LangChain, and LlamaIndex
Icon Purchase of the print or Kindle book includes a free eBook in PDF format
Introduction to Generative AI: Drawing Data from Models Chevron down icon Chevron up icon
Building Blocks of Deep Neural Networks Chevron down icon Chevron up icon
The Rise of Methods for Text Generation Chevron down icon Chevron up icon
NLP 2.0: Using Transformers to Generate Text Chevron down icon Chevron up icon
LLM Foundations Chevron down icon Chevron up icon
Open-Source LLMs Chevron down icon Chevron up icon
Prompt Engineering Chevron down icon Chevron up icon
LLM Toolbox Chevron down icon Chevron up icon
LLM Optimization Techniques Chevron down icon Chevron up icon
Emerging Applications in Generative AI Chevron down icon Chevron up icon
Neural Networks Using VAEs Chevron down icon Chevron up icon
Image Generation with GANs Chevron down icon Chevron up icon
Style Transfer with GANs Chevron down icon Chevron up icon
Deepfakes with GANs Chevron down icon Chevron up icon
Diffusion Models and AI Art Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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Learn Python Programming
Learn Python Programming
Full star icon Full star icon Full star icon Full star icon Full star icon 5
By Romano
November 2024 | 616 pages
Icon Create and deploy APIs and CLI applications, leveraging Python’s strengths in scripting and automation
Icon Stay current with the latest features and improvements in Python, including pattern matching and the latest exception handling syntax
Icon Engage with new real-world examples and projects, including competitive programming problems, to solidify your understanding of Python
A Gentle Introduction to Python Chevron down icon Chevron up icon
Built-In Data Types Chevron down icon Chevron up icon
Conditionals and Iteration Chevron down icon Chevron up icon
Functions, the Building Blocks of Code Chevron down icon Chevron up icon
Comprehensions and Generators Chevron down icon Chevron up icon
OOP, Decorators, and Iterators Chevron down icon Chevron up icon
Exceptions and Context Managers Chevron down icon Chevron up icon
Files and Data Persistence Chevron down icon Chevron up icon
Cryptography and Tokens Chevron down icon Chevron up icon
Testing Chevron down icon Chevron up icon
Debugging and Profiling Chevron down icon Chevron up icon
Introduction to Type Hinting Chevron down icon Chevron up icon
Data Science in Brief Chevron down icon Chevron up icon
Introduction to API Development Chevron down icon Chevron up icon
CLI Applications Chevron down icon Chevron up icon
Packaging Python Applications Chevron down icon Chevron up icon
Programming Challenges Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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Practical Generative AI with ChatGPT
Practical Generative AI with ChatGPT
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
By Valentina Alto
April 2025 | 386 pages
Icon Turn ChatGPT into your companion for marketing, research, personal productivity, art and coding
Icon Learn prompt engineering techniques that deliver consistent, relevant, and ethical AI-powered results
Icon Build custom GPTs and assistants tailored to your specific business needs and workflows
Icon Purchase of the print or Kindle book includes a free PDF eBook
Fundamentals of Generative AI and OpenAI Chevron down icon Chevron up icon
Introduction to Generative AI Chevron down icon Chevron up icon
OpenAI and ChatGPT: Beyond the Market Hype Chevron down icon Chevron up icon
ChatGPT in Action Chevron down icon Chevron up icon
Understanding Prompt Engineering Chevron down icon Chevron up icon
Boosting Day-to-Day Productivity with ChatGPT Chevron down icon Chevron up icon
Developing the Future with ChatGPT Chevron down icon Chevron up icon
Mastering Marketing with ChatGPT Chevron down icon Chevron up icon
Research Reinvented with ChatGPT Chevron down icon Chevron up icon
Unleashing Creativity Visually with ChatGPT Chevron down icon Chevron up icon
Exploring GPTs Chevron down icon Chevron up icon
OpenAI for Enterprises Chevron down icon Chevron up icon
Leveraging OpenAI’s Models for Enterprise-Scale Applications Chevron down icon Chevron up icon
Epilogue and Final Thoughts Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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C# 13 and .NET 9 – Modern Cross-Platform Development Fundamentals
C# 13 and .NET 9 – Modern Cross-Platform Development Fundamentals
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4
By Mark J. Price
November 2024 | 828 pages
Icon Explore the newest additions to C# 13, the .NET 9 class libraries, and Entity Framework Core 9
Icon Build professional websites and services with ASP.NET Core 9 and Blazor
Icon Enhance your skills with step-by-step code examples and best practices tips
Hello, C#! Welcome, .NET! Chevron down icon Chevron up icon
Speaking C# Chevron down icon Chevron up icon
Controlling Flow, Converting Types, and Handling Exceptions Chevron down icon Chevron up icon
Writing, Debugging, and Testing Functions Chevron down icon Chevron up icon
Building Your Own Types with Object-Oriented Programming Chevron down icon Chevron up icon
Implementing Interfaces and Inheriting Classes Chevron down icon Chevron up icon
Packaging and Distributing .NET Types Chevron down icon Chevron up icon
Working with Common .NET Types Chevron down icon Chevron up icon
Working with Files, Streams, and Serialization Chevron down icon Chevron up icon
Working with Data Using Entity Framework Core Chevron down icon Chevron up icon
Querying and Manipulating Data Using LINQ Chevron down icon Chevron up icon
Introducing Modern Web Development Using .NET Chevron down icon Chevron up icon
Building Websites Using ASP.NET Core Chevron down icon Chevron up icon
Building Interactive Web Components Using Blazor Chevron down icon Chevron up icon
Building and Consuming Web Services Chevron down icon Chevron up icon
Epilogue Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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C++ Memory Management
C++ Memory Management
Full star icon Full star icon Full star icon Full star icon Full star icon 5
By Patrice Roy
March 2025 | 434 pages
Icon Use contemporary C++ features to enhance code safety and reliability
Icon Develop a deeper understanding of memory management mechanisms in C++
Icon Write programs that adapt to the constraints of your chosen architecture or platform
Icon Purchase of the print or Kindle book includes a free PDF eBook
Part 1: Memory in C++ Chevron down icon Chevron up icon
Chapter 1: Objects, Pointers, and References Chevron down icon Chevron up icon
Chapter 2: Things to Be Careful With Chevron down icon Chevron up icon
Chapter 3: Casts and cv-qualifications Chevron down icon Chevron up icon
Part 2: Implicit Memory Management Techniques Chevron down icon Chevron up icon
Chapter 4: Using Destructors Chevron down icon Chevron up icon
Chapter 5: Using Standard Smart Pointers Chevron down icon Chevron up icon
Chapter 6: Writing Smart Pointers Chevron down icon Chevron up icon
Part 3: Taking Control (of Memory Management Mechanisms) Chevron down icon Chevron up icon
Chapter 7: Overloading Memory Allocation Operators Chevron down icon Chevron up icon
Chapter 8: Writing a Naïve Leak Detector Chevron down icon Chevron up icon
Chapter 9: Atypical Allocation Mechanisms Chevron down icon Chevron up icon
Chapter 10: Arena-Based Memory Management and Other Optimizations Chevron down icon Chevron up icon
Chapter 11: Deferred Reclamation Chevron down icon Chevron up icon
Part 4: Writing Generic Containers (and a Bit More) Chevron down icon Chevron up icon
Chapter 12: Writing Generic Containers with Explicit Memory Management Chevron down icon Chevron up icon
Chapter 13: Writing Generic Containers with Implicit Memory Management Chevron down icon Chevron up icon
Chapter 14: Writing Generic Containers with Allocator Support Chevron down icon Chevron up icon
Chapter 15: Contemporary Issues Chevron down icon Chevron up icon
Annexure: Things You Should Know Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
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Full-Stack AI and Mastering AI Agents Bootcamp
Full-Stack AI and Mastering AI Agents Bootcamp
By Vivian Aranha
April 2025 | 307 pages
Icon A comprehensive approach to AI development, covering text processing, NLP, and AI agent creation
Icon Expertise in industry-standard tools like Ollama, LLaMA, and Mistral, essential for building scalable AI systems
Icon A structured learning path that covers environment setup, Python coding, and real-world model deployment
Full Stack AI: Quick Start - Setting Up Ollama & First AI Model Chevron down icon Chevron up icon
Full Stack AI: AI for Text Processing (NLP & LLMs) Chevron down icon Chevron up icon
Full Stack AI: AI for Conversational Bots & Assistants Chevron down icon Chevron up icon
AI Agents Bootcamp: Introduction to AI Agents & Tools Chevron down icon Chevron up icon
AI Agents Bootcamp: Building a Personal AI Assistant Chevron down icon Chevron up icon
AI Agents Bootcamp: AI-Powered Web Scraper Agent Chevron down icon Chevron up icon
AI Agents Bootcamp: AI-Powered Document Reader & Q&A Bot Chevron down icon Chevron up icon
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React Key Concepts
React Key Concepts
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8
By Maximilian Schwarzmüller
January 2025 | 544 pages
Icon Work through clear, concise explanations of core React 19 functionalities
Icon Complete practical exercises that challenge you to build your own simple apps
Icon Discover fullstack React with Next.js, React Server Components, Suspense, and more
React – What and Why Chevron down icon Chevron up icon
Understanding React Components and JSX Chevron down icon Chevron up icon
Components and Props Chevron down icon Chevron up icon
Working with Events and State Chevron down icon Chevron up icon
Rendering Lists and Conditional Content Chevron down icon Chevron up icon
Styling React Apps Chevron down icon Chevron up icon
Portals and Refs Chevron down icon Chevron up icon
Handling Side Effects Chevron down icon Chevron up icon
Handling User Input & Forms with Form Actions Chevron down icon Chevron up icon
Behind the Scenes of React and Optimization Opportunities Chevron down icon Chevron up icon
Working with Complex State Chevron down icon Chevron up icon
Building Custom React Hooks Chevron down icon Chevron up icon
Multipage Apps with React Router Chevron down icon Chevron up icon
Managing Data with React Router Chevron down icon Chevron up icon
Server-side Rendering & Building Fullstack Apps with Next.js Chevron down icon Chevron up icon
React Server Components & Server Actions Chevron down icon Chevron up icon
Understanding React Suspense & The use() Hook Chevron down icon Chevron up icon
Next Steps and Further Resources Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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Python Machine Learning By Example
Python Machine Learning By Example
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9
By Yuxi (Hayden) Liu
July 2024 | 518 pages
Icon Discover new and updated content on NLP transformers, PyTorch, and computer vision modeling
Icon Includes a dedicated chapter on best practices and additional best practice tips throughout the book to improve your ML solutions
Icon Implement ML models, such as neural networks and linear and logistic regression, from scratch
Icon Purchase of the print or Kindle book includes a free PDF copy
Getting Started with Machine Learning and Python Chevron down icon Chevron up icon
Building a Movie Recommendation Engine with Naïve Bayes Chevron down icon Chevron up icon
Predicting Online Ad Click-Through with Tree-Based Algorithms Chevron down icon Chevron up icon
Predicting Online Ad Click-Through with Logistic Regression Chevron down icon Chevron up icon
Predicting Stock Prices with Regression Algorithms Chevron down icon Chevron up icon
Predicting Stock Prices with Artificial Neural Networks Chevron down icon Chevron up icon
Mining the 20 Newsgroups Dataset with Text Analysis Techniques Chevron down icon Chevron up icon
Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling Chevron down icon Chevron up icon
Recognizing Faces with Support Vector Machine Chevron down icon Chevron up icon
Machine Learning Best Practices Chevron down icon Chevron up icon
Categorizing Images of Clothing with Convolutional Neural Networks Chevron down icon Chevron up icon
Making Predictions with Sequences Using Recurrent Neural Networks Chevron down icon Chevron up icon
Advancing Language Understanding and Generation with the Transformer Models Chevron down icon Chevron up icon
Building an Image Search Engine Using CLIP: a Multimodal Approach Chevron down icon Chevron up icon
Making Decisions in Complex Environments with Reinforcement Learning Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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The Ultimate Linux Shell Scripting Guide
The Ultimate Linux Shell Scripting Guide
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8
By Donald A. Tevault
October 2024 | 696 pages
Icon Develop portable scripts using Bash, Zsh, and PowerShell that work seamlessly across Linux, macOS, and Unix systems
Icon Progress seamlessly through chapters with clear concepts, practical examples, and hands-on labs for skill development
Icon Build real-world Linux administration scripts, enhancing your troubleshooting and management skills
Getting Started with the Shell Chevron down icon Chevron up icon
Interpreting Commands Chevron down icon Chevron up icon
Understanding Variables and Pipelines Chevron down icon Chevron up icon
Understanding Input/Output Redirection Chevron down icon Chevron up icon
Customizing the Environment Chevron down icon Chevron up icon
Text-Stream Filters – Part 1 Chevron down icon Chevron up icon
Text Stream Filters – Part 2 Chevron down icon Chevron up icon
Basic Shell Script Construction Chevron down icon Chevron up icon
Filtering Text with grep, sed, and Regular Expressions Chevron down icon Chevron up icon
Understanding Functions Chevron down icon Chevron up icon
Performing Mathematical Operations Chevron down icon Chevron up icon
Automating Scripts with here Documents and expect Chevron down icon Chevron up icon
Scripting with ImageMagick Chevron down icon Chevron up icon
Using awk – Part 1 Chevron down icon Chevron up icon
Using awk – Part 2 Chevron down icon Chevron up icon
Creating User Interfaces with yad, dialog, and xdialog Chevron down icon Chevron up icon
Using Shell Script Options with getops Chevron down icon Chevron up icon
Shell Scripting for Security Professionals Chevron down icon Chevron up icon
Shell Script Portability Chevron down icon Chevron up icon
Shell Script Security Chevron down icon Chevron up icon
Debugging Shell Scripts Chevron down icon Chevron up icon
Introduction to Z Shell Scripting Chevron down icon Chevron up icon
Using PowerShell on Linux Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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Building AI Agents - From Fundamentals to Advanced Applications
Building AI Agents - From Fundamentals to Advanced Applications
By Clarian North
March 2025 | 165 pages
Icon In-depth coverage of AI agents from basic concepts to advanced applications
Icon Hands-on experience with N8N for building and managing automation pipelines
Icon Focus on security, ethical considerations, and real-world use cases of AI agents
The AI Agent Personal Assistant Demonstration Chevron down icon Chevron up icon
What Are AI Agents For Beginners Chevron down icon Chevron up icon
What Is N8N And How To Use It Chevron down icon Chevron up icon
Setting Up An AI Agent and Credentials Chevron down icon Chevron up icon
How To Build A Text Classifier For AI Agents Chevron down icon Chevron up icon
Multi Level Pipelines For AI Agents Chevron down icon Chevron up icon
Building An AI Agent For Scheduling Your Meetings Chevron down icon Chevron up icon
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Solutions Architect's Handbook
Solutions Architect's Handbook
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
By Saurabh Shrivastava
March 2024 | 578 pages
Icon Hits all the key areas -Rajesh Sheth, VP, Elastic Block Store, AWS
Icon Offers the knowledge you need to succeed in the evolving landscape of tech architecture - Luis Lopez Soria, Senior Specialist Solutions Architect, Google
Icon A valuable resource for enterprise strategists looking to build resilient applications - Cher Simon, Principal Solutions Architect, AWS
Solutions Architects in Organizations Chevron down icon Chevron up icon
Principles of Solution Architecture Design Chevron down icon Chevron up icon
Cloud Migration and Cloud Architecture Design Chevron down icon Chevron up icon
Solution Architecture Design Patterns Chevron down icon Chevron up icon
Cloud-Native Architecture Design Patterns Chevron down icon Chevron up icon
Performance Considerations Chevron down icon Chevron up icon
Security Considerations Chevron down icon Chevron up icon
Architectural Reliability Considerations Chevron down icon Chevron up icon
Operational Excellence Considerations Chevron down icon Chevron up icon
Cost Considerations Chevron down icon Chevron up icon
DevOps and Solution Architecture Framework Chevron down icon Chevron up icon
Data Engineering for Solution Architecture Chevron down icon Chevron up icon
Machine Learning Architecture Chevron down icon Chevron up icon
Generative AI Architecture Chevron down icon Chevron up icon
Rearchitecting Legacy Systems Chevron down icon Chevron up icon
Solution Architecture Document Chevron down icon Chevron up icon
Learning Soft Skills to Become a Better Solutions Architect Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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Machine Learning with PyTorch and Scikit-Learn
Machine Learning with PyTorch and Scikit-Learn
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4
By Sebastian Raschka
February 2022 | 774 pages
Icon Learn applied machine learning with a solid foundation in theory
Icon Clear, intuitive explanations take you deep into the theory and practice of Python machine learning
Icon Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices
Giving Computers the Ability to Learn from Data Chevron down icon Chevron up icon
Training Simple Machine Learning Algorithms for Classification Chevron down icon Chevron up icon
A Tour of Machine Learning Classifiers Using Scikit-Learn Chevron down icon Chevron up icon
Building Good Training Datasets – Data Preprocessing Chevron down icon Chevron up icon
Compressing Data via Dimensionality Reduction Chevron down icon Chevron up icon
Learning Best Practices for Model Evaluation and Hyperparameter Tuning Chevron down icon Chevron up icon
Combining Different Models for Ensemble Learning Chevron down icon Chevron up icon
Applying Machine Learning to Sentiment Analysis Chevron down icon Chevron up icon
Predicting Continuous Target Variables with Regression Analysis Chevron down icon Chevron up icon
Working with Unlabeled Data – Clustering Analysis Chevron down icon Chevron up icon
Implementing a Multilayer Artificial Neural Network from Scratch Chevron down icon Chevron up icon
Parallelizing Neural Network Training with PyTorch Chevron down icon Chevron up icon
Going Deeper – The Mechanics of PyTorch Chevron down icon Chevron up icon
Classifying Images with Deep Convolutional Neural Networks Chevron down icon Chevron up icon
Modeling Sequential Data Using Recurrent Neural Networks Chevron down icon Chevron up icon
Transformers – Improving Natural Language Processing with Attention Mechanisms Chevron down icon Chevron up icon
Generative Adversarial Networks for Synthesizing New Data Chevron down icon Chevron up icon
Graph Neural Networks for Capturing Dependencies in Graph Structured Data Chevron down icon Chevron up icon
Reinforcement Learning for Decision Making in Complex Environments Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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Spring System Design in Practice
Spring System Design in Practice
By Rodrigo Santiago
May 2025 | 452 pages
Icon Establish yourself as the go-to person for strategic decision-making and solutions design with proven strategies
Icon Write clean, modular, and testable code with the power of dependency injection
Icon Optimize your development efforts by artfully connecting diverse use cases with the right Spring components
Icon Purchase of the print or Kindle book includes a free PDF eBook
Part 1: Foundations for System Design Chevron down icon Chevron up icon
Chapter 1: What are the Product Requirements? Chevron down icon Chevron up icon
Chapter 2: Sorting Complex Requirements into Features, Use Cases, and Stories Chevron down icon Chevron up icon
Chapter 3: Defining Domains for Your Application Chevron down icon Chevron up icon
Chapter 4: Defining Services for Your Domains Chevron down icon Chevron up icon
Part 2: Designing Great Spring Services Chevron down icon Chevron up icon
Chapter 5: Writing Your Services – Introducing REST APIs with the Spring Framework Chevron down icon Chevron up icon
Chapter 6: Translating Business Requirements into Well-Designed Spring APIs Chevron down icon Chevron up icon
Chapter 7: Handling Data and Evolving Your Microservice Chevron down icon Chevron up icon
Part 3: Security, Performance, and Scalability Chevron down icon Chevron up icon
Chapter 8: Securing Services with Spring Security and OAuth 2.0 Chevron down icon Chevron up icon
Chapter 9: High-Performance Secure Communication Between Spring Services Chevron down icon Chevron up icon
Chapter 10: Building Asynchronous, Event-Driven Systems With NoSQL Databases Chevron down icon Chevron up icon
Part 4: Orchestrating Resilient Services Chevron down icon Chevron up icon
Chapter 11: Launching Your Self-Organizing Microservice Cloud Chevron down icon Chevron up icon
Chapter 12: Optimizing Your Services Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
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Kubernetes – An Enterprise Guide
Kubernetes – An Enterprise Guide
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8
By Marc Boorshtein
August 2024 | 682 pages
Icon Practical insights on running Kubernetes in enterprise environments, backed by real-world experience
Icon Strategies for securing clusters with runtime security, direct pod mounting, and Vault integration for secrets management
Icon A dual-perspective approach that covers Kubernetes administration and development for a complete understanding
Docker and Container Essentials Chevron down icon Chevron up icon
Deploying Kubernetes Using KinD Chevron down icon Chevron up icon
Kubernetes Bootcamp Chevron down icon Chevron up icon
Services, Load Balancing, and Network Policies Chevron down icon Chevron up icon
External DNS and Global Load Balancing Chevron down icon Chevron up icon
Integrating Authentication into Your Cluster Chevron down icon Chevron up icon
RBAC Policies and Auditing Chevron down icon Chevron up icon
Managing Secrets Chevron down icon Chevron up icon
Building Multitenant Clusters with vClusters Chevron down icon Chevron up icon
Deploying a Secured Kubernetes Dashboard Chevron down icon Chevron up icon
Extending Security Using Open Policy Agent Chevron down icon Chevron up icon
Node Security with Gatekeeper Chevron down icon Chevron up icon
KubeArmor Securing Your Runtime Chevron down icon Chevron up icon
Backing Up Workloads Chevron down icon Chevron up icon
Monitoring Clusters and Workloads Chevron down icon Chevron up icon
An Introduction to Istio Chevron down icon Chevron up icon
Building and Deploying Applications on Istio Chevron down icon Chevron up icon
Provisioning a Multitenant Platform Chevron down icon Chevron up icon
Building a Developer Portal Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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