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از ساعت 7 صبح تا 10 شب
ویرایش: 1
نویسندگان: Jeroen Mulder
سری:
ISBN (شابک) : 1501522655, 9781501522659
ناشر: Mercury Learning and Information
سال نشر: 2024
تعداد صفحات: 0
زبان: English
فرمت فایل : EPUB (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 2 مگابایت
در صورت تبدیل فایل کتاب Multi-Cloud Administration Guide: Manage and Optimize Cloud Resources Across Azure, AWS, GCP, and Alibaba Cloud به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب راهنمای مدیریت چند ابری: مدیریت و بهینه سازی منابع Cloud در سراسر Azure، AWS، GCP و Alibaba Cloud نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Cover Half Title Title Copyright Dedication Contents Preface Acknowledgments About the Author Chapter 1: Using the Cloud Adoption Frameworks Introduction Structure Exploring the Business Challenge of Multi-Cloud Introducing CAFs: How to Use Them Strategy Plan Prepare Adopt Govern Operate Deep Dive in the CAFs of Azure and AWS Frameworks by GCP and Alibaba Cloud Lead Learn Scale Secure Similarities and Differences Monitoring Multi-Cloud and Keeping Track of Value Propositions Measuring Business Metrics Introducing Best Practices in Monitoring Conclusion Key Points Questions Chapter 2: Virtualizing and Managing Connectivity Introduction Structure Building Blocks in Networks Virtual Switching Routing Virtual Firewalls Load Balancing Cloud Network Operations Deployment Concepts SD-WAN, Edge, and SASE Managing Networks in Multi-Cloud Setting Up VPN Setting Up Direct Connections Conclusion Key Points Questions Chapter 3: Virtualizing and Managing Storage Introduction Structure Types of Storage Virtualization Storage Concepts in Public Clouds Managing Storage Assets in Multi-Cloud Protecting Data from Data Loss Using Third-Party Storage Products Managing Storage Lifecycles and Tiering Automating Tiering Automating Scaling of Storage Managing Data Access Conclusion Key Points Questions Chapter 4: Virtualizing and Managing Compute Introduction Structure Comparing Compute Models in Public Clouds Key Considerations for Choosing Compute Rightsizing Compute in Deployment and Autoscaling Rightsizing Using Autoscaling Exploring On-Premises Propositions of Public Cloud Azure Stack and Azure Arc AWS Outposts Google Anthos Extending VMWare Deploying and Managing Compute Assets Automating Infrastructure Management Conclusion Key Points Questions Chapter 5: Creating Interoperability Introduction Structure Defining Interoperability Requirements for Interoperability Explaining the Difference Between Portability and Interoperability Solutions to Create Interoperability in Public and Hybrid Clouds Working with Open Compute Project Conclusion Key Points Questions Chapter 6: Managing Data in Multi-Cloud Introduction Structure Defining a Data Strategy Planning Data Migration Managing Data Governance Improving Data Quality Data Quality in AWS Data Quality in Azure Data Quality in GCP Data Quality in Alibaba Cloud Securing Data Conclusion Key Points Questions Chapter 7: Build and Operate Cloud Native Introduction Structure Understanding Cloud-Native Concepts Organizing Cloud-Native with DevOps Explaining Microservices Managing Releases in Microservices Conclusion Key Points Questions Chapter 8: Building Agnostic with Containers Introduction Structure Understanding Container Technology Pitfalls and Risks of Container Technology Container Services from Major Cloud Providers Developing and Provisioning Containers Using Industry Standards Guided Plan to Develop and Deploy Containers Exploring Container Management Using a Single Pane of Glass View Managing Security in Container Platforms Deep Dive into Container Monitoring and Log Management Collecting and Analyzing Logs Conclusion Key Points Questions Chapter 9: Building and Managing Serverless Introduction Structure Understanding the Serverless Concept Developing and Provisioning Serverless Functions from Architecture Using CI/CD for Serverless Deployments Managing Multi-Cloud Environments with Serverless Frameworks Following Best Practices in Serverless Deep Dive into Monitoring Serverless Conclusion Key Points Questions Chapter 10: Managing Access Management Introduction Structure Exploring the Basics of Access Management Understanding Managed Identities Challenges in Access Management Using Cloud Tools for Access Management Understanding and Working with PAM Privileged Session and Privileged Behavior Analytics Creating and Storing Secrets Managing Secrets and Keys in AWS and Azure Managing Secrets and Keys in GCP and Alibaba Cloud Avoiding Pitfalls in Managing Secrets and Keys Defining, Implementing, and Managing Role Based Access Control Monitoring Access Control Conclusion Key Points Questions Chapter 11: Managing Security Introduction Structure Working with Cloud Security Frameworks Example of Implementing CIS Guidelines for Azure Choosing the Security Tools Managing Security Through One Lens Introducing Cloud Security Posture Management Keeping Track and Up to Date with Security Trends Conclusion Key Points Questions Chapter 12: Automating Compliancy Introduction Structure Understanding Compliance in Multi-Cloud Automating Governance Using RPA for Automating Compliance The Next Step: Using AI for Compliance Checking Conclusion Key Points Questions Appendix Index