Learning VMware vRealize Automation. Learn the fundamentals of vRealize Automation to accelerate the delivery of your IT services

Sriram Rajendran

With the growing interest in Software Defined Data Centers (SDDC), vRealize Automation offers data center users an organized service catalog and governance for administrators. This way, end users gain autonomy while the IT department stays in control, making sure security and compliance requirements are met. Learning what each component does and how they dovetail with each other will bolster your understanding of vRealize Automation.The book starts off with an introduction to the distributed architecture that has been tested and installed in large scale deployments. Implementing and configuring distributed architecture with custom certificates is unarguably a demanding task, and it will be covered next. After this, we will progress with the installation. A vRealize Automation blueprint can be prepared in multiple ways; we will focus solely on vSphere endpoint blueprint. After this, we will discuss the high availability configuration via NSX loadbalancer for vRealize Orchestrator. Finally, we end with Advanced Service Designer, which provides service architects with the ability to create advanced services and publish them as catalog items.

IBM Rational Team Concert 2 Essentials. Improve your team productivity with Integrated Process, Planning, and Collaboration using Team Concert Enterprise Edition

T C Fenstermaker, TC Fenstermaker, Suresh Krishna, Suresh Madhuvarsu

Software development is a collaborative effort needing active and timely input and response from all its members. Every day, project managers face ever-increasing pressures to produce high-quality software with increasing constraints. With IBM's Rational Team Concert collaborative software delivery environment, you can tremendously improve the productivity of your entire team through a web-based user-interface, continuous builds, a customizable process with work support, team support, integration and many more features.Written by Suresh Krishna and TC Fenstermaker, experts on Rational Team Concert, this book will help you leverage the full potential of the IBM Rational Team Concert platform to improve your individual and team performance. It follows a realistic case-study example enabling you to learn about Rational Team Concert fundamentals and best practices along the way to efficiently manage your software projects and tackle various software development challenges.Beginning with an in-depth analysis of software development challenges, the book goes on to introduce the Jazz Platform followed by a complete overview of the architecture of Rational Team Concert. After you install Rational Team Concert on WebSphere and learn to configure the server and clients, you will see all the features in relation to Web and Eclipse clients.From Chapter 3 onwards a realistic sample application is constructed to give you a strong grasp of your concepts. As you proceed, you learn source control, the mechanism to create, control, and manage documents, artifacts in a software development lifecycle, followed by different tools that Rational Team Concert offers for effective team and work management. You tackle the various challenges of Team Collaboration by integrated e-mail, instant messaging, events, feeds, and work items, the basic units of the task. You also learn the various aspects of the software development process and release planning along with process templates, which provide the initial process and iteration of your project. Finally, you extend the Rational Team Concert and make use of the Jazz Platform APIs to customize your process to fit your organizational needs.

Python Data Analysis Cookbook. Clean, scrape, analyze, and visualize data with the power of Python!

Ivan Idris

Data analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns. As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for data science, including topics on: data analysis, visualization, and machine learning.Python Data Analysis Cookbook focuses on reproducibility and creating production-ready systems. You will start with recipes that set the foundation for data analysis with libraries such as matplotlib, NumPy, and pandas. You will learn to create visualizations by choosing color maps and palettes then dive into statistical data analysis using distribution algorithms and correlations. You’ll then help you find your way around different data and numerical problems, get to grips with Spark and HDFS, and then set up migration scripts for web mining.In this book, you will dive deeper into recipes on spectral analysis, smoothing, and bootstrapping methods. Moving on, you will learn to rank stocks and check market efficiency, then work with metrics and clusters. You will achieve parallelism to improve system performance by using multiple threads and speeding up your code.By the end of the book, you will be capable of handling various data analysis techniques in Python and devising solutions for problem scenarios.

Lo-Dash Essentials. Implement fast, lean, and readable code effectively with Lo-Dash

Adam Boduch

Automating DevOps with GitLab CI/CD Pipelines. Build efficient CI/CD pipelines to verify, secure, and deploy your code using real-life examples

Christopher Cowell, Nicholas Lotz, Chris Timberlake

Developers and release engineers understand the high stakes involved in building, packaging, and deploying code correctly. Ensuring that your code is functionally correct, fast, and secure is a time-consuming and complex task. Code implementation, development, and deployment can be conducted efficiently using GitLab CI/CD pipelines.Automating DevOps with GitLab CI/CD Pipelines begins with the basics of Git and GitLab, showing how to commit and review code. You’ll learn to set up GitLab Runners for executing and autoscaling CI/CD pipelines and creating and configuring pipelines for many software development lifecycle steps. You'll also discover where to find pipeline results in GitLab, and how to interpret those results. Through the course of the book, you’ll become well-equipped with deploying code to different environments, advancing CI/CD pipeline features such as connecting GitLab to a Kubernetes cluster and using GitLab with Terraform, triggering pipelines and improving pipeline performance and using best practices and troubleshooting tips for uncooperative pipelines. In-text examples, use cases, and self-assessments will reinforce the important CI/CD, GitLab, and Git concepts, and help you prepare for interviews and certification exams related to GitLab.By the end of this book, you'll be able to use GitLab to build CI/CD pipelines that automate all the DevOps steps needed to build and deploy high-quality, secure code.

Network Automation with Go. Learn how to automate network operations and build applications using the Go programming language

Go’s built-in first-class concurrency mechanisms make it an ideal choice for long-lived low-bandwidth I/O operations, which are typical requirements of network automation and network operations applications.This book provides a quick overview of Go and hands-on examples within it to help you become proficient with Go for network automation. It’s a practical guide that will teach you how to automate common network operations and build systems using Go.The first part takes you through a general overview, use cases, strengths, and inherent weaknesses of Go to prepare you for a deeper dive into network automation, which is heavily reliant on understanding this programming language. You’ll explore the common network automation areas and challenges, what language features you can use in each of those areas, and the common software tools and packages. To help deepen your understanding, you’ll also work through real-world network automation problems and apply hands-on solutions to them.By the end of this book, you’ll be well-versed with Go and have a solid grasp on network automation.

Machine Learning for Data Mining. Improve your data mining capabilities with advanced predictive modeling

Jesus Salcedo

Machine learning (ML) combined with data mining can give you amazing results in your data mining work by empowering you with several ways to look at data. This book will help you improve your data mining techniques by using smart modeling techniques.This book will teach you how to implement ML algorithms and techniques in your data mining work. It will enable you to pair the best algorithms with the right tools and processes. You will learn how to identify patterns and make predictions with minimal human intervention. You will build different types of ML models, such as the neural network, the Support Vector Machines (SVMs), and the Decision tree. You will see how all of these models works and what kind of data in the dataset they are suited for. You will learn how to combine the results of different models in order to improve accuracy. Topics such as removing noise and handling errors will give you an added edge in model building and optimization.By the end of this book, you will be able to build predictive models and extract information of interest from the dataset

The Art of Crafting User Stories. Unleash creativity and collaboration to deliver high-value products with a delightful user experience

Christopher Lee

The Art of Crafting User Stories is a must-read for product managers, UX professionals, and product developers dedicated to creating meaningful digital experiences. This book provides a comprehensive, step-by-step approach to empower you to master the techniques for creating user stories that drive effective product development.This book takes you on a journey from identifying and capturing user needs, goals, and perspectives through user stories, to crafting impactful stories for design choices and organizing tasks efficiently. You’ll learn how to define the problem area, recognize user personas, and develop user scenarios with the aid of real-world examples, practical tips, and exercises designed to help you develop your skills in crafting user-centered experiences. Moreover, you’ll gain a thorough understanding of user stories, their role in Agile development, and how to use them to plan and manage products effectively.By the end of this book, you’ll be able to improve the quality and efficiency of your own products by applying the hands-on practical skills to create compelling digital experiences that resonate with users and stay relevant in the market.