Enterprise DevOps for Architects. Leverage AIOps and DevSecOps for secure digital transformation

Jeroen Mulder

Digital transformation is the new paradigm in enterprises, but the big question remains: is the enterprise ready for transformation using native technology embedded in Agile/DevOps? With this book, you'll see how to design, implement, and integrate DevOps in the enterprise architecture while keeping the Ops team on board and remaining resilient. The focus of the book is not to introduce the hundreds of different tools that are available for implementing DevOps, but instead to show you how to create a successful DevOps architecture.This book provides an architectural overview of DevOps, AIOps, and DevSecOps – the three domains that drive and accelerate digital transformation. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this DevOps book will help you to successfully integrate DevOps into enterprise architecture. You'll learn what AIOps is and what value it can bring to an enterprise. Lastly, you will learn how to integrate security principles such as zero-trust and industry security frameworks into DevOps with DevSecOps.By the end of this DevOps book, you'll be able to develop robust DevOps architectures, know which toolsets you can use for your DevOps implementation, and have a deeper understanding of next-level DevOps by implementing Site Reliability Engineering (SRE).

Essential Guide to LLMOps. Implementing effective strategies for Large Language Models in deployment and continuous improvement

Ryan Doan

The rapid advancements in large language models (LLMs) bring significant challenges in deployment, maintenance, and scalability. This Essential Guide to LLMOps provides practical solutions and strategies to overcome these challenges, ensuring seamless integration and the optimization of LLMs in real-world applications.This book takes you through the historical background, core concepts, and essential tools for data analysis, model development, deployment, maintenance, and governance. You’ll learn how to streamline workflows, enhance efficiency in LLMOps processes, employ LLMOps tools for precise model fine-tuning, and address the critical aspects of model review and governance. You’ll also get to grips with the practices and performance considerations that are necessary for the responsible development and deployment of LLMs. The book equips you with insights into model inference, scalability, and continuous improvement, and shows you how to implement these in real-world applications.By the end of this book, you’ll have learned the nuances of LLMOps, including effective deployment strategies, scalability solutions, and continuous improvement techniques, equipping you to stay ahead in the dynamic world of AI.

Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities

Leonard S. Woody III

Quantum computing is an exciting subject that offers hope to solve the world’s most complex problems at a quicker pace. It is being used quite widely in different spheres of technology, including cybersecurity, finance, and many more, but its concepts, such as superposition, are often misunderstood because engineers may not know the math to understand them. This book will teach the requisite math concepts in an intuitive way and connect them to principles in quantum computing.Starting with the most basic of concepts, 2D vectors that are just line segments in space, you'll move on to tackle matrix multiplication using an instinctive method. Linearity is the major theme throughout the book and since quantum mechanics is a linear theory, you'll see how they go hand in hand. As you advance, you'll understand intrinsically what a vector is and how to transform vectors with matrices and operators. You'll also see how complex numbers make their voices heard and understand the probability behind it all.It’s all here, in writing you can understand. This is not a stuffy math book with definitions, axioms, theorems, and so on. This book meets you where you’re at and guides you to where you need to be for quantum computing. Already know some of this stuff? No problem! The book is componentized, so you can learn just the parts you want. And with tons of exercises and their answers, you'll get all the practice you need.

Essential PySpark for Scalable Data Analytics. A beginner's guide to harnessing the power and ease of PySpark 3

Sreeram Nudurupati

Apache Spark is a unified data analytics engine designed to process huge volumes of data quickly and efficiently. PySpark is Apache Spark's Python language API, which offers Python developers an easy-to-use scalable data analytics framework.Essential PySpark for Scalable Data Analytics starts by exploring the distributed computing paradigm and provides a high-level overview of Apache Spark. You'll begin your analytics journey with the data engineering process, learning how to perform data ingestion, cleansing, and integration at scale. This book helps you build real-time analytics pipelines that help you gain insights faster. You'll then discover methods for building cloud-based data lakes, and explore Delta Lake, which brings reliability to data lakes. The book also covers Data Lakehouse, an emerging paradigm, which combines the structure and performance of a data warehouse with the scalability of cloud-based data lakes. Later, you'll perform scalable data science and machine learning tasks using PySpark, such as data preparation, feature engineering, and model training and productionization. Finally, you'll learn ways to scale out standard Python ML libraries along with a new pandas API on top of PySpark called Koalas.By the end of this PySpark book, you'll be able to harness the power of PySpark to solve business problems.

Essential Statistics for Non-STEM Data Analysts. Get to grips with the statistics and math knowledge needed to enter the world of data science with Python

Rongpeng Li

Statistics remain the backbone of modern analysis tasks, helping you to interpret the results produced by data science pipelines. This book is a detailed guide covering the math and various statistical methods required for undertaking data science tasks.The book starts by showing you how to preprocess data and inspect distributions and correlations from a statistical perspective. You’ll then get to grips with the fundamentals of statistical analysis and apply its concepts to real-world datasets. As you advance, you’ll find out how statistical concepts emerge from different stages of data science pipelines, understand the summary of datasets in the language of statistics, and use it to build a solid foundation for robust data products such as explanatory models and predictive models. Once you’ve uncovered the working mechanism of data science algorithms, you’ll cover essential concepts for efficient data collection, cleaning, mining, visualization, and analysis. Finally, you’ll implement statistical methods in key machine learning tasks such as classification, regression, tree-based methods, and ensemble learning.By the end of this Essential Statistics for Non-STEM Data Analysts book, you’ll have learned how to build and present a self-contained, statistics-backed data product to meet your business goals.

Etat czy B2B dla IT - Programista

Kinga Jańczak

Etat czy działalność – to dylemat, przed którym stoi nie jeden programista. Publikacja przedstawia kalkulację opłacalności etatu i pracy w modelu B2B z uwzględnieniem rewolucji podatkowej wynikającej z wejścia w życie Polskiego Ładu. Opracowanie w prosty sposób tłumaczy zawiłości w przepisach, obrazując je w formie konkretnych przykładów wykorzystujących spotykane w branży kwoty. Dzięki takiemu podejściu publikacja stanowi: • symulację składkowo-podatkową w przypadku zatrudnienia na podstawie umowy o pracę, • kalkulację dostępnych form opodatkowania dla programistów w przypadku działalności gospodarczej. Po przeczytaniu opracowania, nie będziesz miał już żadnych wątpliwości czy wybrać etat, czy własną działalność gospodarczą.

Ethereum Cookbook. Over 100 recipes covering Ethereum-based tokens, games, wallets, smart contracts, protocols, and Dapps

Manoj P R

Ethereum and Blockchain will change the way software is built for business transactions. Most industries have been looking to leverage these new technologies to gain efficiencies and create new business models and opportunities.The Ethereum Cookbook covers various solutions such as setting up Ethereum, writing smart contracts, and creating tokens, among others. You’ll learn about the security vulnerabilities, along with other protocols of Ethereum.Once you have understood the basics, you’ll move on to exploring various design decisions and tips to make your application scalable and secure. In addition to this, you’ll work with various Ethereum packages such as Truffle, Web3, and Ganache.By the end of this book, you’ll have comprehensively grasped the Ethereum principles and ecosystem.

Ethereum dla zaawansowanych. Tworzenie inteligentnych kontraktów i aplikacji zdecentralizowanych

Andreas M. Antonopoulos, Gavin Wood

Ethereum to platforma służąca do obsługi kryptowalut. Została zaprojektowana z zachowaniem wysokich standardów bezpieczeństwa i transparentności. Umożliwia uruchamianie zdecentralizowanych aplikacji (DApp) i inteligentnych kontraktów, które nie mają scentralizowanej kontroli ani pojedynczego punktu podatności na awarie i są zintegrowane z siecią obsługi płatności oraz operują na otwartym łańcuchu bloków. Ethereum cieszy się dużym zainteresowaniem takich organizacji jak IBM, Microsoft, NASDAQ, które coraz bardziej angażują się w korzystanie z tej platformy. Ta książka jest praktycznym poradnikiem i encyklopedycznym źródłem wiedzy o Ethereum przeznaczonym dla programistów, którzy chcą przyswoić praktyczną wiedzę o łańcuchach bloków oraz tworzeniu inteligentnych kontraktów i zdecentralizowanych aplikacji - DApp. Znalazły się tu zarówno podstawowe informacje, jak i szereg zaawansowanych zagadnień związanych z Ethereum. Opisano, w jaki sposób tworzy się w nim transakcje, przedstawiono kwestie związane z kluczem publicznym, skrótami i podpisami cyfrowymi. Poszczególne zagadnienia, a także najlepsze praktyki, wzorce projektowe i antywzorce z obszaru bezpieczeństwa uzupełniono starannie opracowanymi przykładami kodu. W tej książce między innymi: uruchamianie klienta Ethereum korzystanie z portfeli cyfrowych interakcje z klientami Ethereum za pomocą wywołań RPC tokeny reprezentujące aktywa, udziały czy głosy budowa zdecentralizowanych aplikacji z użyciem komponentów w modelu P2P Ethereum: oto nowy wymiar innowacji w programowaniu!