Distributed Cloud Networks Training

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Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

Distributed Cloud Networks Training Course Overview

Distributed Cloud Networks represent a paradigm shift in cloud computing, enabling the decentralization of storage and processing across multiple geographic locations while still being managed under a single network umbrella. This approach addresses key challenges such as latency reduction, increased data sovereignty, and enhanced reliability by distributing services closer to the end-users. Multisoft Systems offers an in-depth training program on Distributed Cloud Networks, tailored for professionals aiming to excel in designing, deploying, and managing distributed cloud infrastructures. The course covers essential concepts like cloud architecture design, data security in a distributed environment, and the integration of local and cloud resources. It also delves into the specifics of handling cloud services across various locations, ensuring compliance with local data regulations and optimizing performance.

Participants will gain hands-on experience through practical exercises and real-world case studies, which illustrate the complexities and solutions in distributed cloud setups. This training is ideal for system administrators, cloud specialists, and IT professionals who seek to broaden their expertise in cloud computing technologies.

By the end of this course, attendees will be equipped with the skills necessary to effectively implement and manage distributed cloud environments, positioning them for success in advanced IT roles in a rapidly evolving technological landscape.

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Distributed Cloud Networks Training Course curriculum

Curriculum Designed by Experts

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Distributed Cloud Networks represent a paradigm shift in cloud computing, enabling the decentralization of storage and processing across multiple geographic locations while still being managed under a single network umbrella. This approach addresses key challenges such as latency reduction, increased data sovereignty, and enhanced reliability by distributing services closer to the end-users. Multisoft Systems offers an in-depth training program on Distributed Cloud Networks, tailored for professionals aiming to excel in designing, deploying, and managing distributed cloud infrastructures. The course covers essential concepts like cloud architecture design, data security in a distributed environment, and the integration of local and cloud resources. It also delves into the specifics of handling cloud services across various locations, ensuring compliance with local data regulations and optimizing performance.

Participants will gain hands-on experience through practical exercises and real-world case studies, which illustrate the complexities and solutions in distributed cloud setups. This training is ideal for system administrators, cloud specialists, and IT professionals who seek to broaden their expertise in cloud computing technologies.

By the end of this course, attendees will be equipped with the skills necessary to effectively implement and manage distributed cloud environments, positioning them for success in advanced IT roles in a rapidly evolving technological landscape.

  • Learn the fundamentals of distributed cloud networks, including the design and structure of decentralized cloud infrastructures.
  • Acquire the ability to deploy and manage distributed cloud services effectively, ensuring seamless integration and operation across multiple locations.
  • Gain expertise in ensuring data security in distributed environments and complying with various regional data protection regulations.
  • Develop strategies to enhance the performance and scalability of cloud networks by leveraging distributed computing principles.
  • Learn techniques to minimize latency and increase system reliability and uptime through strategic distribution of network resources.
  • Engage in practical exercises and analyze case studies that simulate real-world challenges and solutions in distributed cloud settings.

Course Prerequisite

  • Familiarity with fundamental cloud concepts and architectures is essential.
  • A solid grasp of networking principles, including IP addressing, DNS, and routing protocols.
     

Course Target Audience

  • IT Managers
  • System Administrators
  • Cloud Architects
  • Network Engineers
  • Data Security Specialists
  • IT Consultants
  • DevOps Engineers

Course Content

  • Introduction to Cloud Computing: Cloud computing refers to the delivery of computing services like servers, storage, databases, networking, software, and more over the internet.
  • Evolution and Trends in Cloud Computing: The cloud has evolved from basic Infrastructure as a Service (IaaS) to encompass Platform as a Service (PaaS), Software as a Service (SaaS), and specialized services like Machine Learning as a Service (MLaaS).
  • Types of Cloud Services (IaaS, PaaS, SaaS): AWS and Azure offer a wide range of services falling under these categories, such as AWS EC2 (IaaS), Azure App Services (PaaS), and Office 365 (SaaS).
  • Cloud Service Models (Public, Private, Hybrid): AWS provides public cloud services, while Azure offers both public and private cloud options. Both platforms also support hybrid cloud deployments.
  • Cloud Service Providers Overview: AWS is a leading cloud provider with services like Amazon S3 for storage and Amazon EC2 for virtual servers. Azure offers similar services such as Azure Blob Storage and Azure Virtual Machines.
  • Cloud Adoption Strategies: Businesses adopt cloud services for scalability, cost-efficiency, and global reach. AWS and Azure provide resources and best practices for successful cloud adoption.
  • Regulatory and Compliance Considerations in the Cloud: Both AWS and Azure comply with industry standards and regulations, offering tools like AWS Identity and Access Management (IAM) and Azure Active Directory for compliance management.

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  • Virtualization Technologies: AWS provides Elastic Compute Cloud (EC2) for virtual servers, while Azure offers Azure Virtual Machines.
  • Containerization Technologies (e.g., Docker, Kubernetes): AWS has Amazon Elastic Container Service (ECS) and Elastic Kubernetes Service (EKS), while Azure provides Azure Kubernetes Service (AKS) for container orchestration.
  • Networking in the Cloud: AWS has services like Amazon VPC for networking, while Azure offers Azure Virtual Network.
  • Storage Solutions (Object Storage, Block Storage): AWS S3 (object storage) and EBS (block storage) are comparable to Azure Blob Storage and Azure Disk Storage.
  • Identity and Access Management (IAM): AWS IAM and Azure Active Directory provide identity management and access control.
  • Security in the Cloud: Both AWS and Azure offer comprehensive security features such as encryption, firewalls, and threat detection.
  • Scalability and Elasticity: AWS Auto Scaling and Azure Autoscale enable automatic scaling of resources based on demand.
  • Monitoring and Logging Services: AWS CloudWatch and Azure Monitor provide monitoring, logging, and alerting capabilities for cloud resources.

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  • Capacity Planning and Resource Allocation: AWS offers tools like AWS Trusted Advisor, while Azure has Azure Advisor for resource optimization.
  • Cost Management Strategies: Both platforms offer cost management tools like AWS Cost Explorer and Azure Cost Management.
  • Billing and Pricing Models: AWS and Azure have pay-as-you-go pricing models with options for reserved instances and discounts.
  • Performance Optimization Techniques: AWS and Azure provide performance monitoring tools and optimization recommendations.
  • Disaster Recovery Planning: AWS Disaster Recovery and Azure Site Recovery offer solutions for disaster recovery planning.
  • High Availability Architectures: AWS Availability Zones and Azure Availability Sets ensure high availability of applications.
  • Compliance and Governance Planning: AWS Config and Azure Policy help enforce compliance and governance policies.

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  • Cloud Management Platforms: AWS Management Console and Azure Portal are central interfaces for managing cloud resources.
  • Provisioning and Deployment Automation: AWS CloudFormation and Azure Resource Manager enable automated provisioning and deployment.
  • Configuration Management: AWS OpsWorks and Azure Automation provide configuration management capabilities.
  • Continuous Integration and Continuous Deployment (CI/CD): AWS CodePipeline and Azure DevOps enable CI/CD workflows.
  • DevOps Practices in the Cloud: Both AWS and Azure support DevOps practices with tools for collaboration, automation, and monitoring.
  • Incident Response and Management: AWS and Azure offer incident response tools and guidelines for managing cloud incidents.
  • Patch Management: AWS Systems Manager and Azure Update Management help manage patching of cloud resources.
  • Lifecycle Management of Cloud Resources: AWS Lifecycle Policies and Azure Resource Manager Templates facilitate resource lifecycle management.

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  • Introduction to Automation in the Cloud: Automation in the cloud involves using scripts, templates, and tools to automate provisioning, configuration, and management tasks.
  • Infrastructure as Code (IaC) Principles and Tools (e.g., Terraform): AWS CloudFormation and Azure Resource Manager Templates follow IaC principles, and tools like Terraform support multi-cloud infrastructure provisioning.
  • Orchestration and Workflow Automation: AWS Step Functions and Azure Logic Apps automate workflows and orchestrate processes.
  • Serverless Computing Concepts: AWS Lambda and Azure Functions provide serverless computing options for event-driven applications.
  • Automation of Monitoring and Alerting: AWS CloudWatch Alarms and Azure Monitor Alerts automate monitoring and alerting based on predefined conditions.
  • Automating Compliance Checks: AWS Config Rules and Azure Policy automate compliance checks and enforcement of policies across cloud resources.

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Distributed Cloud Networks Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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Distributed Cloud Networks Corporate Training

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Multisoft Systems is the “one-top learning platform” for everyone. Get trained with certified industry experts and receive a globally-recognized training certificate. Some Multisoft Training Certificate Features :

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  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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Distributed Cloud Networks Training FAQ's

You will learn how to design, deploy, and manage cloud services across multiple geographic locations, focusing on optimizing performance, security, and regulatory compliance.

The training is ideal for IT Managers, System Administrators, Cloud Architects, Network Engineers, Data Security Specialists, IT Consultants, and DevOps Engineers.

Yes, participants should have a basic understanding of cloud computing, experience with cloud platforms, knowledge of networking, and familiarity with virtualization technologies.

Yes, participants will receive a certification from Multisoft Systems upon successfully completing the course and passing the assessment tests.

To contact Multisoft Systems you can mail us on info@multisoftsystems.com or can call for course enquiry on this number +91 9810306956

 

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