Programowanie w chmurze
Mastering Go for DevOps. Master building, automating, and scaling cloud infrastructure with Go
Engin Polat
Mastering Go for DevOps shows you how to harness Go to build production-ready tools, from interactive CLIs to observability integrations and custom Terraform providers. Mastering Go for DevOps takes a hands-on approach, teaching you how to create robust CLI applications, develop RESTful APIs and gRPC services, and integrate monitoring solutions with Prometheus. You'll extend Terraform with custom providers, write comprehensive unit and integration tests using the Terraform SDK, and automate your testing in CI/CD pipelines with GitHub Actions. You'll also explore cloud-native development by integrating Go applications with AWS and Azure SDKs and deploying serverless functions with AWS Lambda and Azure Functions. Whether you're building automation scripts or distributed systems, this book equips you with the skills to streamline and scale your infrastructure operations. By the end of this book, you'll know how to build Go-based DevOps tools, automate infrastructure provisioning, and create cloud-native systems ready for real-world deployment.
Jochen Nickel
Microsoft Azure and its Identity and access management are at the heart of Microsoft's software as service products, including Office 365, Dynamics CRM, and Enterprise Mobility Management. It is crucial to master Microsoft Azure in order to be able to work with the Microsoft Cloud effectively.You’ll begin by identifying the benefits of Microsoft Azure in the field of identity and access management. Working through the functionality of identity and access management as a service, you will get a full overview of the Microsoft strategy. Understanding identity synchronization will help you to provide a well-managed identity. Project scenarios and examples will enable you to understand, troubleshoot, and develop on essential authentication protocols and publishing scenarios. Finally, you will acquire a thorough understanding of Microsoft Information protection technologies.
Dr. Saket S.R. Mengle , Maximo Gurmendez
Amazon Web Services (AWS) is constantly driving new innovations that empower data scientists to explore a variety of machine learning (ML) cloud services. This book is your comprehensive reference for learning and implementing advanced ML algorithms in AWS cloud.As you go through the chapters, you’ll gain insights into how these algorithms can be trained, tuned, and deployed in AWS using Apache Spark on Elastic Map Reduce (EMR), SageMaker, and TensorFlow. While you focus on algorithms such as XGBoost, linear models, factorization machines, and deep nets, the book will also provide you with an overview of AWS as well as detailed practical applications that will help you solve real-world problems. Every application includes a series of companion notebooks with all the necessary code to run on AWS. In the next few chapters, you will learn to use SageMaker and EMR Notebooks to perform a range of tasks, right from smart analytics and predictive modeling through to sentiment analysis. By the end of this book, you will be equipped with the skills you need to effectively handle machine learning projects and implement and evaluate algorithms on AWS.
Thomas Carpe, Stephen Hall, Nikkia Carter, Alara...
In today's world, every organization aims to migrate to the cloud in order to become more efficient by making full use of the latest technologies. Office 365 is your one-stop solution to making your organization reliable, scalable, and fast.This book will start with an overview of Office 365 components, and help you learn how to use the administration portal, and perform basic administration. It then goes on to cover common management tasks, such as managing users, admin roles, groups, securing Office 365, and enforcing compliance. In the next set of chapters, you will learn about topics including managing Skype for Business Online, Yammer, OneDrive for Business, and Microsoft Teams. In the final section of the book, you will learn how to carry out reporting and monitor Office 365 service health.By the end of this book, you will be able to implement enterprise-level services with Office 365 based on your organization's needs.
Mastering OpenStack. Design, deploy, and manage a scalable OpenStack infrastructure
Omar Khedher
This book is intended for system administrators, cloud engineers, and system architects who want to deploy a cloud based on OpenStack in a mid- to large-sized IT infrastructure. If you have a fundamental understanding of cloud computing and OpenStack and want to expand your knowledge, then this book is an excellent checkpoint to move forward.
Omar Khedher, Chandan Dutta
In this second edition, you will get to grips with the latest features of OpenStack. Starting with an overview of the OpenStack architecture, you'll see how to adopt the DevOps style of automation while deploying and operating in an OpenStack environment. We'll show you how to create your own OpenStack private cloud. Then you'll learn about various hypervisors and container technology supported by OpenStack. You'll get an understanding about the segregation of compute nodes based on reliability and availability needs. We'll cover various storage types in OpenStack and advanced networking aspects such as SDN and NFV.Next, you'll understand the OpenStack infrastructure from a cloud user point of view. Moving on, you'll develop troubleshooting skills, and get a comprehensive understanding of services such as high availability and failover in OpenStack. Finally, you will gain experience of running a centralized logging server and monitoring OpenStack services. The book will show you how to carry out performance tuning based on OpenStack service logs. You will be able to master OpenStack benchmarking and performance tuning. By the end of the book, you'll be ready to take steps to deploy and manage an OpenStack cloud with the latest open source technologies.
Omar Khedher
OpenStack provides flexibility and control for designing and deploying robust and scalable cloud infrastructures, which has led to it having one of the largest open source communities in the cloud market. This book delves deep into the OpenStack architecture, dissecting each component to guide you in architecting your cloud with precision. From essential components to cutting-edge services, this book offers a step-by step approach, ensuring you grasp the fundamentals before exploring the latest advancements.This updated edition guides you through the deployment process, integrating secure best practices inspired by the DevSecOps philosophy. You’ll also explore the Antelope release, covering new services such as container management and software-defined networking (SDN). The book outlines best practices for running and managing fault-tolerant, secure, monitored, and high-performing setups. In the last part, it navigates the convergence of public and private clouds, covering hybrid models through use cases of managing Kubernetes-based applications in OpenStack private and public clouds.By the end of the book, you’ll be well versed in the latest OpenStack advancements, ready to lead your organization on a successful cloud journey.
William Hegedus
With growing focus on observability and reliability, establishing a scalable and reliable monitoring environment is more important than ever. Over the last decade, Prometheus has emerged as the leading open-source, time-series based monitoring software catering to this demand. Written by an open-source advocate and Prometheus contributor, this guide provides an in-depth look at Prometheus, covering best practices and offering insights into scaling, operating, and extending Prometheus, from small on-premises workloads to multi-cloud, globally distributed environments.The book helps you revisit the basics of Prometheus, before moving on to advanced techniques of observability and monitoring using Prometheus. You’ll find out how to deploy Prometheus on Kubernetes and achieve an HA alerting infrastructure in Prometheus. You’ll also learn to leverage Prometheus in your daily operations through alerts, Grafana dashboards, and building your own exporter. Finally, you’ll explore various open-source projects that extend the functionality of Prometheus, help with various aspects of running Prometheus at scale, and make the most of Prometheus data.By the end of this book, you’ll be able to confidently build, automate, and deliver your infrastructure and CI/CD pipelines in cloud-based applications.