The Self Taught Cloud Computing Engineer
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The Self Taught Cloud Computing Engineer
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Author : Dr Logan Song
language : en
Publisher:
Release Date : 2023-09-22
The Self Taught Cloud Computing Engineer written by Dr Logan Song and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-22 with categories.
This self-study book helps you master multiple clouds, including AWS, Azure, and GCP, and serves as a roadmap to becoming a certified cloud computing expert.
The Self Taught Cloud Computing Engineer
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Author : Dr. Logan Song
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-09-22
The Self Taught Cloud Computing Engineer written by Dr. Logan Song and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-22 with Computers categories.
Transform into a cloud-savvy professional by mastering cloud technologies through hands-on projects and expert guidance, paving the way for a thriving cloud computing career Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Gain a solid foundation in cloud computing with a structured, easy-to-follow guide Develop practical skills across AWS, Azure, and Google Cloud, covering compute, storage, networking, data, security, and AI Work on real life industrial projects, business use cases, and personal cloud career development Book DescriptionAs cloud computing continues to revolutionize IT, professionals face the challenge of keeping up with rapidly evolving technologies. This book provides a clear roadmap for mastering cloud concepts, developing hands-on expertise, and obtaining professional certifications, making it an essential resource for those looking to advance their careers in cloud computing. Starting with a focus on the Amazon cloud, you’ll be introduced to fundamental AWS cloud services, followed by advanced AWS cloud services in the domains of data, machine learning, and security. Next, you’ll build proficiency in Microsoft Azure cloud and Google Cloud Platform (GCP) by examining the common attributes of the three clouds, differentiating their unique features, along with leveraging real-life cloud project implementations on these cloud platforms. Through hands-on projects and real-world applications, you’ll gain the skills needed to work confidently across different cloud platforms. The book concludes with career development guidance, including certification paths and industry insights to help you succeed in the cloud computing landscape. Walking through this cloud computing book, you’ll systematically establish a robust footing in AWS, Azure, and GCP, and emerge as a cloud-savvy professional, equipped with cloud certificates to validate your skills.What you will learn Develop core skills needed to work with AWS, Azure, and GCP Gain proficiency in compute, storage, and networking services across multi-cloud and hybrid-cloud environments Integrate cloud databases, big data, and machine learning services in multi-cloud environments Design and develop data pipelines, encompassing data ingestion, storage, processing, and visualization in the clouds Implement machine learning pipelines in multi-cloud environment Secure cloud infrastructure ecosystems with advanced cloud security services Who this book is for This book is ideal for IT professionals looking to transition into cloud computing, as well as experienced cloud practitioners seeking to deepen their knowledge. Whether you're a beginner with basic computing experience or an industry professional aiming to expand your expertise, this comprehensive guide provides the skills and insights needed to excel in the cloud domain.
Data Engineering With Google Cloud Platform
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Author : Adi Wijaya
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-03-31
Data Engineering With Google Cloud Platform written by Adi Wijaya and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-31 with Computers categories.
Build and deploy your own data pipelines on GCP, make key architectural decisions, and gain the confidence to boost your career as a data engineer Key Features Understand data engineering concepts, the role of a data engineer, and the benefits of using GCP for building your solution Learn how to use the various GCP products to ingest, consume, and transform data and orchestrate pipelines Discover tips to prepare for and pass the Professional Data Engineer exam Book DescriptionWith this book, you'll understand how the highly scalable Google Cloud Platform (GCP) enables data engineers to create end-to-end data pipelines right from storing and processing data and workflow orchestration to presenting data through visualization dashboards. Starting with a quick overview of the fundamental concepts of data engineering, you'll learn the various responsibilities of a data engineer and how GCP plays a vital role in fulfilling those responsibilities. As you progress through the chapters, you'll be able to leverage GCP products to build a sample data warehouse using Cloud Storage and BigQuery and a data lake using Dataproc. The book gradually takes you through operations such as data ingestion, data cleansing, transformation, and integrating data with other sources. You'll learn how to design IAM for data governance, deploy ML pipelines with the Vertex AI, leverage pre-built GCP models as a service, and visualize data with Google Data Studio to build compelling reports. Finally, you'll find tips on how to boost your career as a data engineer, take the Professional Data Engineer certification exam, and get ready to become an expert in data engineering with GCP. By the end of this data engineering book, you'll have developed the skills to perform core data engineering tasks and build efficient ETL data pipelines with GCP.What you will learn Load data into BigQuery and materialize its output for downstream consumption Build data pipeline orchestration using Cloud Composer Develop Airflow jobs to orchestrate and automate a data warehouse Build a Hadoop data lake, create ephemeral clusters, and run jobs on the Dataproc cluster Leverage Pub/Sub for messaging and ingestion for event-driven systems Use Dataflow to perform ETL on streaming data Unlock the power of your data with Data Studio Calculate the GCP cost estimation for your end-to-end data solutions Who this book is for This book is for data engineers, data analysts, and anyone looking to design and manage data processing pipelines using GCP. You'll find this book useful if you are preparing to take Google's Professional Data Engineer exam. Beginner-level understanding of data science, the Python programming language, and Linux commands is necessary. A basic understanding of data processing and cloud computing, in general, will help you make the most out of this book.
Official Google Cloud Certified Associate Cloud Engineer Study Guide
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Author : Dan Sullivan
language : en
Publisher: John Wiley & Sons
Release Date : 2019-04-01
Official Google Cloud Certified Associate Cloud Engineer Study Guide written by Dan Sullivan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-01 with Computers categories.
The Only Official Google Cloud Study Guide The Official Google Cloud Certified Associate Cloud Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Engineering certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Official Google Cloud Certified Associate Cloud Engineer Study Guide is your ace in the hole for deploying and managing Google Cloud Services. Select the right Google service from the various choices based on the application to be built Compute with Cloud VMs and managing VMs Plan and deploying storage Network and configure access and security Google Cloud Platform is a leading public cloud that provides its users to many of the same software, hardware, and networking infrastructure used to power Google services. Businesses, organizations, and individuals can launch servers in minutes, store petabytes of data, and implement global virtual clouds with the Google Cloud Platform. Certified Associate Cloud Engineers have demonstrated the knowledge and skills needed to deploy and operate infrastructure, services, and networks in the Google Cloud. This exam guide is designed to help you understand the Google Cloud Platform in depth so that you can meet the needs of those operating resources in the Google Cloud.
Developing Blockchain Solutions In The Cloud
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Author : Stefano Tempesta
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-04-26
Developing Blockchain Solutions In The Cloud written by Stefano Tempesta and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Technology & Engineering categories.
Learn how to implement, deploy, and manage blockchain solutions across AWS, Azure, and GCP with the help of hands-on labs and real-world use cases Key Features Learn architecture design patterns and access code samples for building Web3 apps in the cloud Master the latest tools and cloud technologies for integrating DevOps in blockchain applications Strengthen your understanding of cloud-native blockchain through real-world use cases and best practices Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs Web3 technologies continue to gain momentum across industries, businesses are looking for new ways to leverage the benefits of Web3 and stay at the forefront of technological innovation. This comprehensive guide offers an in-depth exploration of cloud-native blockchain fundamentals, providing valuable insights into the benefits and challenges of deploying these technologies in the cloud. From foundational concepts to advanced techniques, the book covers everything you need to know about developing and deploying secure, scalable blockchain solutions on AWS, Azure, and GCP. Through hands-on tutorials and projects, you’ll explore the latest tools, technologies, real-world use cases, and best practices to expand your understanding of the field’s complexities and opportunities. This book ensures easy comprehension through practical examples and access to source code on GitHub. As you advance, you’ll master platform selection and apply your newfound knowledge to tackle complex problems and deliver innovative cloud-native blockchain solutions tailored for your specific needs. By the end of this book, you’ll have a deep understanding of cloud-native blockchain deployment and implementation, and you’ll be equipped with the skills and knowledge to build secure and scalable solutions.What you will learn Discover the benefits and challenges of deploying Web3 solutions in the cloud Deploy secure and scalable blockchain networks leveraging AWS, Azure, and GCP resources Follow step-by-step tutorials and code samples to build Web3 solutions in the cloud Use hosted Kubernetes platforms, such as EKS, AKS, and GKE, for custom blockchains Compare the blockchain capabilities and offerings of AWS, Azure, and Google Cloud Familiarize yourself with the tools and techniques for automating DevOps practices tailored to Web3 apps Who this book is for The book is for cloud developers and DevOps engineers who want to leverage blockchain technologies in their cloud-native solutions. Whether you’re an IT professional deploying and maintaining Web3 solutions in the enterprise or in public settings, or a business leader evaluating blockchain's potential, this resource is invaluable. Entrepreneurs, students, academics, and hobbyists exploring the latest Web3 development trends will also benefit from this book. Prior knowledge of cloud computing and blockchain concepts is recommended to make the best use of the expert insights, hands-on tutorials, and real-world use cases presented.
Mastering Openstack
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Author : Omar Khedher
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-10-21
Mastering Openstack written by Omar Khedher and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-21 with categories.
Implement the latest techniques for designing and deploying an operational, production-ready private cloud
Containers For Developers Handbook
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Author : Francisco Javier Ramírez Urea
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-11-28
Containers For Developers Handbook written by Francisco Javier Ramírez Urea and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-28 with Computers categories.
Effortlessly create and manage complex multi-component applications based on Docker containers Key Features Gain a clear understanding of software containers from the SecDevOps perspective Master the construction of application pieces within containers to achieve a seamless life cycle Prepare your applications to run smoothly and with ease in complex container orchestrators Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDevelopers are changing their deployment artifacts from application binaries to container images, giving rise to the need to build container-based apps as part of their new development workflow. Managing an app’s life cycle is complex and requires effort—this book will show you how to efficiently develop, share, and execute applications. You’ll learn how to automate the build and delivery process using CI/CD tools with containers as container orchestrators manage the complexity of running cluster-wide applications, creating infrastructure abstraction layers, while your applications run with high availability, resilience, and persistence. As you advance, you’ll develop, test, and debug applications on your desktop and get them ready to run in production with optimal security standards, using deployment patterns and monitoring tools to help identify common issues. You’ll also review deployment patterns that’ll enable you to solve common deployment problems, providing high availability, scalability, and security to your applications. Finally, you’ll explore different solutions to monitor, log, and instrument your applications as per open-source community standards. By the end of this book, you’ll be able to manage your app’s life cycle by implementing CI/CD workflows using containers to automate the building and delivery of its components.What you will learn Find out how to build microservices-based applications using containers Deploy your processes within containers using Docker features Orchestrate multi-component applications on standalone servers Deploy applications cluster-wide in container orchestrators Solve common deployment problems such as persistency or app exposure using best practices Review your application’s health and debug it using open-source tools Discover how to orchestrate CI/CD workflows using containers Who this book is forThis book is for developers and DevOps engineers looking to learn about the implementation of containers in application development, especially DevOps engineers who deploy, monitor, and maintain container-based applications running on orchestrated platforms. In general, this book is for IT professionals who want to understand Docker container-based applications and their deployment. A basic understanding of coding and frontend-backend architectures is needed to follow the examples presented in this book.
Architecting Google Cloud Solutions
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Author : Victor Dantas
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-05-14
Architecting Google Cloud Solutions written by Victor Dantas and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-14 with Computers categories.
Achieve your business goals and build highly available, scalable, and secure cloud infrastructure by designing robust and cost-effective solutions as a Google Cloud Architect. Key FeaturesGain hands-on experience in designing and managing high-performance cloud solutionsLeverage Google Cloud Platform to optimize technical and business processes using cutting-edge technologies and servicesUse Google Cloud Big Data, AI, and ML services to design scalable and intelligent data solutionsBook Description Google has been one of the top players in the public cloud domain thanks to its agility and performance capabilities. This book will help you design, develop, and manage robust, secure, and dynamic solutions to successfully meet your business needs. You'll learn how to plan and design network, compute, storage, and big data systems that incorporate security and compliance from the ground up. The chapters will cover simple to complex use cases for devising solutions to business problems, before focusing on how to leverage Google Cloud's Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) capabilities for designing modern no-operations platforms. Throughout this book, you'll discover how to design for scalability, resiliency, and high availability. Later, you'll find out how to use Google Cloud to design modern applications using microservices architecture, automation, and Infrastructure-as-Code (IaC) practices. The concluding chapters then demonstrate how to apply machine learning and artificial intelligence (AI) to derive insights from your data. Finally, you will discover best practices for operating and monitoring your cloud solutions, as well as performing troubleshooting and quality assurance. By the end of this Google Cloud book, you'll be able to design robust enterprise-grade solutions using Google Cloud Platform. What you will learnGet to grips with compute, storage, networking, data analytics, and pricingDiscover delivery models such as IaaS, PaaS, and SaaSExplore the underlying technologies and economics of cloud computingDesign for scalability, business continuity, observability, and resiliencySecure Google Cloud solutions and ensure complianceUnderstand operational best practices and learn how to architect a monitoring solutionGain insights into modern application design with Google CloudLeverage big data, machine learning, and AI with Google CloudWho this book is for This book is for cloud architects who are responsible for designing and managing cloud solutions with GCP. You'll also find the book useful if you're a system engineer or enterprise architect looking to learn how to design solutions with Google Cloud. Moreover, cloud architects who already have experience with other cloud providers and are now beginning to work with Google Cloud will benefit from the book. Although an intermediate-level understanding of cloud computing and distributed apps is required, prior experience of working in the public and hybrid cloud domain is not mandatory.
Architecting The Cloud
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Author : Michael J. Kavis
language : en
Publisher: John Wiley & Sons
Release Date : 2014-01-28
Architecting The Cloud written by Michael J. Kavis and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-28 with Computers categories.
An expert guide to selecting the right cloud service model for your business Cloud computing is all the rage, allowing for the delivery of computing and storage capacity to a diverse community of end-recipients. However, before you can decide on a cloud model, you need to determine what the ideal cloud service model is for your business. Helping you cut through all the haze, Architecting the Cloud is vendor neutral and guides you in making one of the most critical technology decisions that you will face: selecting the right cloud service model(s) based on a combination of both business and technology requirements. Guides corporations through key cloud design considerations Discusses the pros and cons of each cloud service model Highlights major design considerations in areas such as security, data privacy, logging, data storage, SLA monitoring, and more Clearly defines the services cloud providers offer for each service model and the cloud services IT must provide Arming you with the information you need to choose the right cloud service provider, Architecting the Cloud is a comprehensive guide covering everything you need to be aware of in selecting the right cloud service model for you.
Cloud And Serverless Computing For Scientists
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Author : Juan A. Añel
language : en
Publisher: Springer Nature
Release Date : 2020-05-12
Cloud And Serverless Computing For Scientists written by Juan A. Añel and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-12 with Computers categories.
This book offers an introduction to cloud computing and serverless computing for students, researchers and R&D organizations through several practical examples. Rather than focusing exclusively on the computational issues related to cloud computing, the authors focus on addressing the multidisciplinary applications of cloud computing for daily research work in public institutions and private companies in fields such as archaeology, geosciences, computer sciences, medicine and physics. The book also discusses the emergence of serverless computing over the last three years as a means to make computational infrastructures more apparent to users, avoiding the need to concern one's self with the type of server or computing machine needed to perform a computing task. These topics are presented from the perspective of users, researchers and decision-makers, and are approached based on the authors' collective experience on the use and adoption of cloud computing.