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Modern Mainframe Development
Modern Mainframe Development

Even as spending on digital transformation continues to skyrocket, mainframes nevertheless have major advantages for global enterprises. These systems still process huge amounts of information and allow for highly secure transactions. In this practical book, author Tom Taulli shows software developers how to pursue a hybrid approach by integrating traditional mainframes and applications with modern digital systems. By the end of this book, you'll have a solid understanding of the mainframe architecture and ecosystem, including core concepts and technologies such as COBOL, REXX, JCL, Db2, VSAM, and CICS. You'll also learn how to blend in newer technologies such as the cloud, AI and machine learning, and microservices. This handbook is indispensable for enterprises looking to thrive in the new digital world. - Learn strategies and approaches for mainframe DevOps; - Create, update, and maintain existing mainframe code, and analyze and resolve common errors; - Apply modern approach ...
Application Delivery and Load Balancing in Microsoft Azure
Application Delivery and Load Balancing in Microsoft Azure

With more and more companies moving on-premises applications to the cloud, software and cloud solution architects alike are busy investigating ways to improve load balancing, performance, security, and high availability for workloads. This practical book describes Microsoft Azure's load balancing options and explains how NGINX can contribute to a comprehensive solution. Cloud architects Derek DeJonghe and Arlan Nugara take you through the steps necessary to design a practical solution for your network. Software developers and technical managers will learn how these technologies have a direct impact on application development and architecture. While the examples are specific to Azure, these load balancing concepts and implementations also apply to cloud providers such as AWS, Google Cloud, DigitalOcean, and IBM Cloud. - Understand application delivery and load balancing - and why they're important; - Explore Azure's managed load balancing options; - Learn how to run NGINX OSS an ...
97 Things Every SRE Should Know
97 Things Every SRE Should Know

Site reliability engineering (SRE) is more relevant than ever. Knowing how to keep systems reliable has become a critical skill. With this practical book, newcomers and old hats alike will explore a broad range of conversations happening in SRE. You'll get actionable advice on several topics, including how to adopt SRE, why SLOs matter, when you need to upgrade your incident response, and how monitoring and observability differ. Editors Jaime Woo and Emil Stolarsky, co-founders of Incident Labs, have collected 97 concise and useful tips from across the industry, including trusted best practices and new approaches to knotty problems. You'll grow and refine your SRE skills through sound advice and thought-provokingquestions that drive the direction of the field. Some of the 97 things you should know: "Test Your Disaster Plan" - Tanya Reilly "Integrating Empathy into SRE Tools" - Daniella Niyonkuru "The Best Advice I Can Give to Teams" - Nicole Forsgren "Where to SRE" - Fatema B ...
Cloud Native DevOps with Kubernetes
Cloud Native DevOps with Kubernetes

Kubernetes has become the operating system of today's cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts Justin Domingus and John Arundel show you what Kubernetes can do-and what you can do with it. This updated second edition guides you through the growing Kubernetes ecosystem and provides practical solutions to everyday problems with software tools currently in use. You'll walk through an example containerized application running in Kubernetes step-by-step, from the development environment through the continuous deployment pipeline, exploring patterns you can use for your own applications. Make your development teams lean, fast, and effective by adopting Kubernetes and DevOps principles. - Understand containers and Kubernetes-no experience necessary; - Run your own applications on managed cloud Kubernetes services or on-prem environments; - Design your own cloud native services an ...
Efficient Linux at the Command Line
Efficient Linux at the Command Line

Take your Linux skills to the next level! Whether you're a system administrator, software developer, site reliability engineer, or enthusiastic hobbyist, this practical, hands-on book will help you work faster, smarter, and more efficiently. You'll learn how to create and run complex commands that solve real business problems, process and retrieve information, and automate manual tasks. You'll also truly understand what happens behind the shell prompt, so no matter which commands you run, you can be more successful in everyday Linux use and more competitive on the job market. As you build intermediate to advanced command-line skills, you'll learn how to: Choose or construct commands that get your work done quickly; Run commands efficiently and navigate the Linux filesystem with ease; Build powerful, complex commands out of simpler ones; Transform text files and query them like databases to achieve business goals; Control Linux point-and-click features from the command line. ...
bash Idioms
bash Idioms

Shell scripts are everywhere, especially those written in bash-compatible syntax. But these scripts can be complex and obscure. Complexity is the enemy of security, but it's also the enemy of readability and understanding. With this practical book, you'll learn how to decipher old bash code and write new code that's as clear and readable as possible. Authors Carl Albing and JP Vossen show you how to use the power and flexibility of the shell to your advantage. You may know enough bash to get by, but this book will take your skills from manageable to magnificent. Whether you use Linux, Unix, Windows, or a Mac, you'll learn how to read and write scripts like an expert. Your future you will thank you. You'll explore the clear idioms to use and obscure ones to avoid, so that you can: Write useful, flexible, and readable bash code with style; Decode bash code such as ${MAKEMELC,,} and ${PATHNAME##*/}; Save time and ensure consistency when automating tasks; Discover how bash idioms can ...
Command-Line Rust
Command-Line Rust

For several consecutive years, Rust has been voted "most loved programming language" in Stack Overflow's annual developer survey. This open source systems programming language is now used for everything from game engines and operating systems to browser components and virtual reality simulation engines. But Rust is also an incredibly complex language with a notoriously difficult learning curve. Rather than focusing on the language as a whole, this guide teaches Rust using a single small, complete, focused program in each chapter. Author Ken Youens-Clark shows you how to start, write, and test each of these programs to create a finished product. You'll learn how to handle errors in Rust, read and write files, and use regular expressions, Rust types, structs, and more. Discover how to: Use Rust's standard libraries and data types such as numbers, strings, vectors, structs, Options, and Results to create command-line programs; Write and test Rust programs and functions; Read and wri ...
Data Mesh
Data Mesh

We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale. Dehghani guides practitioners, architects, technical leaders, and decision makers on their journey from traditional big data architecture to a distributed and multidimensional approach to analytical data management. Data mesh treats data as a product, considers domains as a primary concern, applies platform thinking to create self-serve data infrastructure, and introduces a federated computational model of data governance. Get a complete introduction to data mesh principles and its constituents; Des ...
Cloud Native Infrastructure with Azure
Cloud Native Infrastructure with Azure

The cloud is becoming the de facto home for companies ranging from enterprises to startups. Moving to the cloud means moving your applications from monolith to microservices. But once you do, running and maintaining these services brings its own level of complexity. The answer? Modularity, deployability, observability, and self-healing capacity through cloud native development. With this practical book, Nishant Singh and Michael Kehoe show you how to build a true cloud native infrastructure using Microsoft Azure or another cloud computing solution by following guidelines from the Cloud Native Computing Foundation (CNCF). DevOps and site reliability engineers will learn how adapting applications to cloud native early in the design phase helps you fully utilize the elasticity and distributed nature of the cloud. This book helps you explore: Why go cloud native? How to use infrastructure as code; What it takes to containerize an application; Why and how Kubernetes is the "grand orch ...
Data Science on the Google Cloud Platform, 2nd Edition
Data Science on the Google Cloud Platform, 2nd Edition

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP. Throughout this updated second edition, you'll work through a sample business decision by employing a variety of data science approaches. Follow along by building a data pipeline in your own project on GCP, and discover how to solve data science problems in a transformative and more collaborative way. You'll learn how to: Employ best practices in building highly scalable data and ML pipelines on Google Cloud; Automate and schedule data ingest using Cloud Run; Create and populate a dashboard in Data Studio; Build a real-time analytics pipeline using Pub/Sub, Dataflow, and BigQuery; Conduct interactive data exploration with BigQuery; Create a Bayesian model with Spark on Cloud Dataproc; Fore ...
Natural Language Processing with Transformers
Natural Language Processing with Transformers

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering; Learn how transformers can be used for cross-lingu ...
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