Cloud computing

With technological advancements, fast markets, and higher complexity of systems, software engineers tend to skip the uncomfortable topic of software efficiency. However, tactical, observability-driven performance optimizations are vital for every product to save money and ensure business success.With this book, any engineer can learn how to approach software efficiency effectively, professionally, and without stress. Author Bartomiej Potka provides the tools and knowledge required to make your systems faster and less resource-hungry. Efficient Go guides you in achieving better day-to-day efficiency using Go. In addition, most content is language-agnostic, allowing you to bring small but effective habits to your programming or product management cycles.This book shows you how to: Clarify and negotiate efficiency goalsOptimize efficiency on various levelsUse common resources like CPU and memory effectivelyAssess efficiency using observability signals like metrics, logging, tracing, and (continuous) profiling via open source projects like Prometheus, Jaeger, and ParcaApply tools like go test, pprof, benchstat, and k6 to create reliable micro and macro benchmarksEfficiently use Go and its features like slices, generics, goroutines, allocation semantics, garbage collection, and more!

This book lays a good foundation for the core concepts and principles of cloud computing applications, walking the reader through the fundamental ideas with expert ease. The book progresses on the topics in a step-by-step manner and reinforces theory with a full-fledged pedagogy designed to enhance students' understanding.

Artificial intelligent systems, which offer great improvement in healthcare sector assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing provide more intelligent and convenient solutions and services. With the help of the advanced techniques, now a days it is possible to understand human body and to handle & process the health data anytime and anywhere. It is a smart healthcare system which includes patient, hospital management, doctors, monitoring, diagnosis, decision making modules, disease prevention to meet the challenges and problems arises in healthcare industry. Furthermore, the advanced healthcare systems need to upgrade with new capabilities to provide human with more intelligent and professional healthcare services to further improve the quality of service and user experience. To explore recent advances and disseminate state-of-the-art techniques related to intelligent healthcare services and applications. This edited book involved in designing systems that will permit the societal acceptance of ambient intelligence including signal processing, imaging, computing, instrumentation, artificial intelligence, internet of health things, data analytics, disease detection, telemedicine, and their applications. As the book includes recent trends in research issues and applications, the contents will be beneficial to Professors, researchers, and engineers. This book will provide support and aid to the researchers involved in designing latest advancements in communication and intelligent systems that will permit the societal acceptance of ambient intelligence. This book presents the latest research being conducted on diverse topics in intelligence technologies with the goal of advancing knowledge and applications healthcare sector and to present the latest snapshot of the ongoing research as well as to shed further light on future directions in this space. The aim of publishing the book is to serve for educators, researchers, and developers working in recent advances and upcoming technologies utilizing computational sciences.

This book covers state of the art interdisciplinary research on key disruptive and interrelated technologies such as Big Data, Edge computing, IoT and Cloud computing. The authors address the challenges from a distributed system perspective, with clear contributions in theory and applications.

Use Terraform and Jenkins to implement Infrastructure as Code and Pipeline as Code across multi-cloud environments KEY FEATURES ¿ Step-by-step guidelines for managing infrastructure across multiple cloud platforms.¿ Expert-led coverage on managing Pipeline as Code using Jenkins.¿ Includes images demonstrating how to manage AWS and Azure resources using Terraform Modules. DESCRIPTION This book explains how to quickly learn and utilize Terraform to incorporate Infrastructure as Code into a continuous integration and continuous delivery pipeline. The book gives you the step-by-step instructions with screenshots and diagrams to make the learning more accessible and fun.This book discusses the necessity of Infrastructure as a Code (IaC) and the many tools available for implementing IaC. You will gain the knowledge of resource creation, IAM roles, EC2 instances, elastic load balancers, and building terraform scripts, among other learnings. Next, you will explore projects and use-cases for implementing DevOps concepts like Continuous Integration, Infrastructure as Code, and Continuous Delivery. Finally, you learn about the Terraform Modules and how to establish networks and Kubernetes clusters on various cloud providers. Installing and configuring Jenkins and SonarQube in Cloud Environments will also be discussed.As a result of reading this book, you will be able to apply Infrastructure as Code and Pipeline as Code principles to major cloud providers such as AWS and Azure.WHAT YOU WILL LEARN¿ Create, manage, and maintain AWS and Microsoft Azure infrastructure.¿ Using Packer, create AMIs and EC2 instances.¿ Utilize Terraform Modules to create VPC and Kubernetes clusters.¿ Put the Pipeline and Infrastructure as Code principles into practice.¿ Utilize Jenkins to automate the application lifecycle management process.WHO THIS BOOK IS FORThis book will primarily help DevOps, Cloud Operations, Agile teams, Cloud Native Developers, and Networking Professionals. Being familiar with the fundamentals of Cloud Computing and DevOps will be beneficial.

Take the fast track in your journey to continuous delivery, with open source tools for Kubernetes and cloud applications. This book explores the tools and techniques you'll need to overcome common cloud native challenges. In Continuous Delivery for Kubernetes you will learn how to: Select the right open source project to solve challenges with your Kubernetes application Package, version, distribute and instant cloud native services using Helm Create and run pipelines using Tekton Plan and implement a multicloud strategy with Crossplane Implement risk-free and progressive upgrades with Knative Utilize Knative for serving, routing, and event-driven applications Automate testing, even when you don't have all your services up and running Troubleshoot and measure application performance Continuous Delivery for Kubernetes lays out a toolbox of free, open source projects you can use to implement continuous delivery for Kubernetes-based applications in the cloud. Each chapter covers a different project, clearly demonstrating how it simplifies essential CD tasks like packaging, building pipelines, and multi-cloud deployment. This book shows developers and architects confidently identify common patterns in successful open source tools so they can pick the right options for their own platforms. about the technology Continuous delivery practices help your team quickly introduce, iterate on, and deploy new features so you can get software into production quickly. The tools in this book help facilitate continuous delivery practices by solving the technical and architectural challenges commonly found when adopting Kubernetes, automating essential dev and deployment tasks, and improving your team's collaboration.