CloudOps: CloudOps Intermediate

https://www.skillsoft.com/channel/cloudops-58040990-e29e-48df-a84a-24e968707ada?technologyandversion=81037&expertiselevel=81036 https://www.skillsoft.com/channel/cloudops-58040990-e29e-48df-a84a-24e968707ada?technologyandversion=81037&expertiselevel=81038
  • 3 Courses | 4h 25m 54s
  • 24 Courses | 32h 39m 42s
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Explore CloudOps, the management of IT services and workloads in a cloud environment.

GETTING STARTED

Multi-cloud Load Balancing: Principles of Load Balancing

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    Course Overview
    1m 6s
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    Load Balancing Uses
    8m 44s
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GETTING STARTED

Applying the Explainability Approach to Guide Cloud Implementation

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    Course Overview
    1m 31s
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    AI Explainability and CloudOps
    4m 14s
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COURSES INCLUDED

Multi-cloud Load Balancing: Principles of Load Balancing
Load balancers are a fundamental component in any distributed application architecture. In this course, you'll explore what load balancers do and where they are used. Then, you'll discover how they have evolved into modern day application delivery controllers. You'll learn about the different types and features available in modern load balancing solutions. You'll then move on to explore standard network topologies that incorporate load balancing, as well as how to effectively introduce Layer 4 and Layer 7 load balancers. You'll learn how a load balancer in the cloud can vary from on-prem and examine load balancing across different cloud platforms. Finally, you'll learn how to deploy both a Layer 4 and a Layer 7 cloud-native load balancing solution on the Microsoft Azure platform. 
14 videos | 1h 30m has Assessment available Badge
Multi-cloud Load Balancing: Load Balancing Design Strategies
Understanding design theory, network design, and how load balancers work is critical to an effective network deployment. In this course, you'll learn about design theory and how to apply it to build a reusable patterns. Then, you'll explore network design concepts and methods, where you'll examine how an enterprise network is structured for maximum efficiency. Next, you'll move on to learn about where a load balancer fits into the network architecture. You'll explore capacity planning and how to right-size your load balancer deployments, as well as considerations and best practices for load balancer deployments. Finally, you'll explore the methods and algorithms used in load balancing.
14 videos | 1h 30m has Assessment available Badge
Multi-cloud Load Balancing: Designing Multi & Hybrid Cloud Solutions
The cloud brings many opportunities, but it also brings challenges to network design and operational workload placements. In this course, you'll learn about the private, public, hybrid, and multi-cloud models. You'll explore the challenges and opportunities of adopting the cloud and how to plan for a migration. Next, you'll examine design patterns, architectures, and topologies of cloud deployments, as well as best practices to use when selecting a topology. You'll explore options available for DNS routed load balancing across data centers. Finally, you'll learn how to design a cloud architecture and how to incorporate load balancers for various stages of data flow.
14 videos | 1h 24m has Assessment available Badge

COURSES INCLUDED

Applying the Explainability Approach to Guide Cloud Implementation
In this course, you'll explore the concept of AI Explainability, the role of CloudOps Explainability in managing multi-cloud solutions, how to evaluate explanatory systems, and the properties used to define systems to accommodate explainability approaches. You'll look at how users interact with explainable systems and the effect of explainability on the robustness, security, and privacy aspects of predictive systems. Next, you'll learn about the use of qualitative and quantitative validation approaches and the explainability techniques for defining operational and functional derivatives of cloud operation. You'll examine how to apply explainability throughout the process of operating cloud environments and infrastructures, the methodologies involved in the three stages of AI Explainability in deriving the right CloudOps model for implementation guidance, and the role of explainability in defining AI-assisted Cloud Managed Services. Finally, you'll learn about the architectures that can be derived using Explainable Models, the role of Explainable AI reasoning paths in building trustable CloudOps workflows, and the need for management and governance of AI frameworks in CloudOps architectures.
14 videos | 1h 5m has Assessment available Badge
CloudOps Solutioning Strategies
In this course, you'll learn about the essential components involved in solutioning CloudOps projects, the layered approach of managing enterprise CloudOps applications, and the role-based and layer-based CloudOps solutioning architectures. You'll examine the role of different types of cloud engineers in providing logical and physical architectures for the CloudOps solutioning process. You'll also learn about the role of the Cloud Governance Framework in providing comprehensive cloud-centric governance for each phase of the cloud transformation life cycle used in CloudOps. Next, you'll explore the RACI Matrix of Roles for each CloudOps solutioning stakeholder, the Measures and Metrics involved in solutioning CloudOps strategy, and the anatomy of Cloud Service Agreements. Finally, you'll learn about the logical CloudOps architecture and prominent CloudOps solutioning tools for designing, planning, architecting, and implementing CloudOps solutioning.