Certified Kubernetes Administrator (CKA) Study GuideThe ability to administer and monitor a Kubernetes cluster is in high demand today. To meet this need, the Cloud Native Computing Foundation developed a certification exam to establish an administrator's credibility and value in the job market to confidently work in a Kubernetes environment.
The Certified Kubernetes Administrator (CKA) certification exam is different from the typical multiple-choice format of other professional certifications. Instead, the CKA is a performance-based exam that requires deep knowledge of the tasks under immense time pressure.
This study guide walks you through all the topics covered to fully prepare you for the exam. Author Benjamin Muschko also shares his personal experience with preparing for all aspects of the exam.
Learn when and how to apply Kubernetes concepts to administer and troubleshoot a production-grade cluster; Understand the objectives, abilities, and tips and tricks needed to pass the CKA exam; Explore the ins and outs of the kube ...
Kubernetes Native Microservices with Quarkus and MicroProfilePopular Java frameworks like Spring were designed long before Kubernetes and the microservices revolution. Kubernetes Native Microservices with Quarkus and MicroProfile introduces next generation tools that have been cloud-native and Kubernetes-aware right from the beginning. Written by veteran Java developers John Clingan and Ken Finnigan, this book shares expert insight into Quarkus and MicroProfile directly from contributors at Red Hat. You'll learn how to utilize these modern tools to create efficient enterprise Java applications that are easy to deploy, maintain, and expand.
Build microservices efficiently with modern Kubernetes-first tools! Quarkus works naturally with containers and Kubernetes, radically simplifying the development and deployment of microservices. This powerful framework minimizes startup time and memory use, accelerating performance and reducing hosting cost. And because it's Java from the ground up, it integrates seamlessly with your existing JVM codebase. ...
Introducing Microsoft OrleansWelcome to Orleans, a virtual actor framework from Microsoft that allows a single developer to create immensely scalable, available applications while maintaining a high throughput. This guide is designed to give you a foundational understanding of Orleans, an overview of its implementations, and plenty of hands-on coding experience. Side-by-side monolithic and microservice patterns alongside Orleans' framework features are also discussed, to help readers without an actor model background understand how they can enhance applications.
Author Nelson's approach is to introduce patterns as needed for business requirements, including monolithic microservices and to convert monolithic to microservices, in order to keep a microservice from growing into a monolithic application. Orleans is a good choice for either of these scenarios as the next step to build your backend services and reduce unnecessary orchestration, overhead, and tooling.
The Orleans framework was designed to handle ted ...
Design and Deploy Microsoft Azure Virtual DesktopDesign and build the new desktop service from Microsoft. This book offers a modern framework, design methodology, and best practices of design and deployment for virtual apps and desktops.
Microsoft Azure Virtual Desktop (AVD) is a Desktop as a Service (DaaS) which is simple to deploy, accessible from any device, easy to manage, and secure. The book starts with AVD essentials and its critical features, followed by the planning and method of preparing for AVD. You will go through defining the requirements and assessing by setting the AVD application baseline, network requirements, and security requirements. Next, you will learn how to design and deploy the core infrastructure of Microsoft AVD to understand its Access Layer, Control Layer, Resource Layer, Hosting Layer, and User Layer. You will also learn how to design the desktop and Host Pool of AVD. And you will learn the modern way to manage and secure AVD components.
After reading this book, you will have the right blend of kn ...
Enterprise Application Development with C# 10 and .NET 6, 2nd EditionBuilding production-ready enterprise applications can be a challenging task due to the overabundance of tools and their different versions that make app development complex. This book simplifies the process with an end-to-end road map for building enterprise applications from scratch using the latest features of .NET Core 6 and C# 10.
Throughout the book, you'll work on creating an enterprise app, adding a key component to the app with each chapter, before finally getting it ready for testing and deployment. You'll learn concepts relating to advanced data structures, the Entity Framework Core, parallel programming, and dependency injection. As you progress, you'll cover various authentication and authorization schemes provided by .NET Core to make your apps and APIs secure. The book then shows you how the latest Microsoft Visual Studio and C# 10 help you simplify developer tasks and shares tips and tricks in Visual Studio to improve your productivity. You'll discover various testin ...
DevOps Tools for Java DevelopersWith the rise of DevOps, low-cost cloud computing, and container technologies, the way Java developers approach development today has changed dramatically. This practical guide helps you take advantage of microservices, serverless, and cloud native technologies using the latest DevOps techniques to simplify your build process and create hyperproductive teams.
Stephen Chin, Melissa McKay, Ixchel Ruiz, and Baruch Sadogursky from JFrog help you evaluate an array of options. The list includes source control with Git, build declaration with Maven and Gradle, CI/CD with CircleCI, package management with Artifactory, containerization with Docker and Kubernetes, and much more. Whether you're building applications with Jakarta EE, Spring Boot, Dropwizard, MicroProfile, Micronaut, or Quarkus, this comprehensive guide has you covered.
Explore software lifecycle best practices; Use DevSecOps methodologies to facilitate software development and delivery; Understand the business value of DevSe ...
Observability EngineeringObservability is critical for building, changing, and understanding the software that powers complex modern systems. Teams that adopt observability are much better equipped to ship code swiftly and confidently, identify outliers and aberrant behaviors, and understand the experience of each and every user. This practical book explains the value of observable systems and shows you how to practice observability-driven development.
Authors Charity Majors, Liz Fong-Jones, and George Miranda from Honeycomb explain what constitutes good observability, show you how to improve upon what youâ??re doing today, and provide practical dos and don'ts for migrating from legacy tooling, such as metrics, monitoring, and log management. Youâ??ll also learn the impact observability has on organizational culture (and vice versa).
You'll explore: How the concept of observability applies to managing software at scale; The value of practicing observability when delivering complex cloud native applicat ...
Introduction to Windows ContainersWith the introduction of container support in Windows Server 2016, we open a world of opportunities that takes traditional monolithic applications on a journey to modernize them for better agility. Containers are a stepping stone that can help IT organizations understand what key items in modern IT environments, such as DevOps, Agile, Scrum, Infrastructure as Code, Continuous Integration, and Continuous Deployment, to name just a few, can do and how these organizations can adopt all of these elements and more to their enterprises.
As a result of Microsoft's strong strategic partnership with Docker - the de facto standard in container management software - enterprises can minimize the time required to onboard and run Windows Containers. Docker presents a single API surface and standardizes tooling for working across public and private container solutions as well as Linux and Windows Container deployments.
This is the next phase in IT evolution in which a direct replatform of code ...
Planning and Preparing for Microsoft SharePoint HybridMicrosoft SharePoint hybrid deployments are rapidly becoming popular with Microsoft's investments on increased SharePoint productivity, not only in your own environment (on-premises) but also collaborating in new ways through the largest and most advanced cloud service platform in the world - Microsoft Office 365 and Microsoft Azure. SharePoint hybrid is about connecting SharePoint on-premises to Office 365 and Azure to extend capabilities, enhance collaboration, and drive innovation forward.
This book is part of a series to provide readers from all over the world with a guide on how to connect SharePoint on-premises to Microsoft's cloud services. You will gain insight into planning, architecture, configuration, and management of SharePoint hybrid. This book covers foundational topics with which you will learn more about Office 365 and Microsoft Azure, architecture planning, platform hygiene and preparation, directory synchronization, and how to configure a seamless single sign-on e ...
Advanced Analytics and Deep Learning ModelsThe book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc.
Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools.
However, deep learning and data analysis both are high centers of data science. Almost all the private and public organizations collect heavy amounts of data, i.e., domain-specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data making it beneficial and effective for big data. Deep learning can be used to deal with al ...