Facing adversity is a part of life. It is up to those challenged as to how these obstacles will impact their lives. In this inspiring new book, Stack the Logs! Building a Success Framework to Reach Your Dreams, Frank F. Lunn describes how his relationship with his late father and his young son's devastating diagnosis of leukemia led to a new formula for success based on a tried and true philosophy. The result is a remarkable lesson on how we can get the most out of life. Lunn, who has a successful entrepreneurial background, engages you from the very first pages. He describes an experience with his father, which provided the foundation for the book, and details his own son's frightening fight against cancer. Lunn tells of a simple note in a birthday card from his father about how "stacking the logs" one at a time -- making life choices, one by one -- was the only route to success and how it suddenly became clear this simplistic idea was truly profound. Frank F. Lunn was living a normal busy life when he received a phone call that stopped time: His eight-year-old son had just been diagnosed with leukemia. The next six months were a struggle for the entire Lunn family, as they battled with Frankie against a cancer of the blood and bone marrow, a cancer very similar to what ironically had defeated Lunn's father four years earlier. At the time of his son's illness, the premise for this book was still in its infancy. It is based on his father's homespun advice to "stack the logs," one decision and choice stacked on top of another, until success is achieved.

“A surprise best-seller which, apparently, has the power to turn even the most feeble of us into axe-wielding lumberjacks.” —Independent The latest Scandinavian publishing phenomenon is not a Stieg Larsson-like thriller; it’s a book about chopping, stacking, and burning wood that has sold more than 200,000 copies in Norway and Sweden and has been a fixture on the bestseller lists there for more than a year. Norwegian Wood provides useful advice on the rustic hows and whys of taking care of your heating needs, but it’s also a thoughtful attempt to understand man’s age-old predilection for stacking wood and passion for open fires. An intriguing window into the exoticism of Scandinavian culture, the book also features enough inherently interesting facts and anecdotes and inspired prose to make it universally appealing. The U.S. edition is a fully updated version of the Norwegian original, and includes an appendix of U.S.-based resources and contacts. “A how-to guide as well as a celebration of wood—its scent, its variability, and the way it can connect modern life to simpler times . . . You don’t need to have a wood-burning stove or fireplace to be captivated by the craft and lore surrounding a Stone Age method of creating heat.” —The Boston Globe “The book has spread like wildfire.” —Daily Mail “A how-to book with poetry at its heart.” —The Times Literary Supplement

Learn to develop, test, and deploy your Spring Boot distributed application and explore various best practices. Key Features Build and deploy your microservices architecture in the cloud Build event-driven resilient systems using Hystrix and Turbine Explore API management tools such as KONG and API documentation tools such as Swagger Book Description Spring is one of the best frameworks on the market for developing web, enterprise, and cloud ready software. Spring Boot simplifies the building of complex software dramatically by reducing the amount of boilerplate code, and by providing production-ready features and a simple deployment model. This book will address the challenges related to power that come with Spring Boot's great configurability and flexibility. You will understand how Spring Boot configuration works under the hood, how to overwrite default configurations, and how to use advanced techniques to prepare Spring Boot applications to work in production. This book will also introduce readers to a relatively new topic in the Spring ecosystem – cloud native patterns, reactive programming, and applications. Get up to speed with microservices with Spring Boot and Spring Cloud. Each chapter aims to solve a specific problem or teach you a useful skillset. By the end of this book, you will be proficient in building and deploying your Spring Boot application. What you will learn Build logically structured and highly maintainable Spring Boot applications Configure RESTful microservices using Spring Boot Make the application production and operation-friendly with Spring Actuator Build modern, high-performance distributed applications using cloud patterns Manage and deploy your Spring Boot application to the cloud (AWS) Monitor distributed applications using log aggregation and ELK Who this book is for The book is targeted at experienced Spring and Java developers who have a basic knowledge of working with Spring Boot. The reader should be familiar with Spring Boot basics, and aware of its benefits over traditional Spring Framework-based applications.

This New York Times bestselling book is filled with hundreds of fun, deceptively simple, budget-friendly ideas for sprucing up your home. With two home renovations under their (tool) belts and millions of hits per month on their blog YoungHouseLove.com, Sherry and John Petersik are home-improvement enthusiasts primed to pass on a slew of projects, tricks, and techniques to do-it-yourselfers of all levels. Packed with 243 tips and ideas—both classic and unexpected—and more than 400 photographs and illustrations, this is a book that readers will return to again and again for the creative projects and easy-to-follow instructions in the relatable voice the Petersiks are known for. Learn to trick out a thrift-store mirror, spice up plain old roller shades, "hack" your Ikea table to create three distinct looks, and so much more.

Leverage Elastic Stack’s machine learning features to gain valuable insight from your data Key FeaturesCombine machine learning with the analytic capabilities of Elastic StackAnalyze large volumes of search data and gain actionable insight from themUse external analytical tools with your Elastic Stack to improve its performanceBook Description Machine Learning with the Elastic Stack is a comprehensive overview of the embedded commercial features of anomaly detection and forecasting. The book starts with installing and setting up Elastic Stack. You will perform time series analysis on varied kinds of data, such as log files, network flows, application metrics, and financial data. As you progress through the chapters, you will deploy machine learning within the Elastic Stack for logging, security, and metrics. In the concluding chapters, you will see how machine learning jobs can be automatically distributed and managed across the Elasticsearch cluster and made resilient to failure. By the end of this book, you will understand the performance aspects of incorporating machine learning within the Elastic ecosystem and create anomaly detection jobs and view results from Kibana directly. What you will learnInstall the Elastic Stack to use machine learning featuresUnderstand how Elastic machine learning is used to detect a variety of anomaly typesApply effective anomaly detection to IT operations and security analyticsLeverage the output of Elastic machine learning in custom views, dashboards, and proactive alertingCombine your created jobs to correlate anomalies of different layers of infrastructureLearn various tips and tricks to get the most out of Elastic machine learningWho this book is for If you are a data professional eager to gain insight on Elasticsearch data without having to rely on a machine learning specialist or custom development, Machine Learning with the Elastic Stack is for you. Those looking to integrate machine learning within their search and analytics applications will also find this book very useful. Prior experience with the Elastic Stack is needed to get the most out of this book.

On a cold winter's night, a goblin is caught stealing firewood. Then things start getting weird. At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied.