Aspire Journeys

Load Balancing Multi and Hybrid Cloud Solutions

  • 13 Courses | 15h 34m 28s
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The Load Balancing Multi and Hybrid Cloud Solutions Journey explores load balancing in high availability, agnostic server/cloud, or multi-cloud platform. High availability topics run through each of the learning paths and are mentioned within each topic's context. We discuss different load balancing strategies for traditional, cloud, and multi-cloud deployments during this learning journey. Later, we will discuss popular load balancing technologies, vendors, and design patterns.

Track 1: Multi-cloud Load Balancing Principles

In this Skillsoft Aspire journey track of the Load Balancing Multi and Hybrid Cloud Solutions Journey, the focus will be on load balancing in multi-cloud and CloudOps, hybrid and multi-cloud architecture load balancing design, hybrid and multi-cloud management considerations, and security and privacy considerations in load balancing.

  • 7 Courses | 8h 30m 3s

Track 2: Solutions for Multi-cloud Load Balancing

In this Skillsoft Aspire journey track of the Load Balancing Multi and Hybrid Cloud Solutions Journey, the focus will be on disaster and backup strategies with multi-cloud load balancing, working with load balancing and performance monitoring, load balancing strategies with Docker and Kubernetes, and comparing multi-cloud load balancing solution providers.

  • 6 Courses | 7h 4m 25s

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 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 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 has Assessment available Badge
Session Management in Multi-cloud & Hybrid Cloud Environments
As multi-cloud and hybrid cloud architectures become more popular, solutions such as service mesh promise to integrate widely distributed services. Today's cloud technology professional benefits from a well-rounded understanding of session management in multi-cloud and hybrid cloud environments. In this course, you'll learn how sessions are maintained in load balancing scenarios using sticky sessions, and what the benefits and challenges are of sticky sessions. You'll then explore best practices for load balancing in multi-cloud and hybrid cloud scenarios. Next, you'll examine common techniques for managing session information, including the JSON Web Token-based session management technique used by most cloud solutions. You'll learn the fundamentals of multi-cloud and hybrid-solutions, as well as how identity is managed in both multi-cloud and hybrid environments. Finally, you'll explore some modern strategies for identity management in multi-cloud and hybrid cloud environments, including service mesh and identity fabric.
13 videos | 1h has Assessment available Badge
Considerations in Load Balancing: Multi-cloud Security Management
Securing a private data center has its challenges but it is made easier by the fact that single data centers are centralized. Cloud systems, on the other hand, expose a much larger risk surface, and this surface is only larger and more complex for multi-cloud and hybrid cloud environments. Today's cloud engineers and operators require more advanced knowledge of risk factors that are specific to various cloud configurations. In this course, you'll learn about cloud security challenges, vulnerabilities inherent in moving your organization to the cloud, and how to tailor operations in the cloud for resiliency. You will learn to create a virtual network in the Azure environment. You will also discover some of the repercussions of security failures in the cloud. Finally, you will learn about cloud backup and disaster recovery.
12 videos | 1h has Assessment available Badge
Considerations in Load Balancing: Multi-cloud Data & Privacy Management
Data management has added complexity in today's multi-cloud and hybrid cloud architectures. Furthermore, managing compliance with data privacy is increasingly difficult. In this course, you'll learn the challenges of data privacy in multi-cloud architectures. You will also learn challenges and strategies for data protection in a hybrid cloud, including maintaining data integrity and availability and planning for disaster recovery. Then you will learn how security is maintained in a hybrid cloud environment. Finally, you'll learn about multi-cloud authentication and federated cloud.
9 videos | 58m has Assessment available Badge
Final Exam: Multi-cloud Load Balancing Principles
Final Exam: Multi-cloud Load Balancing Principles will test your knowledge and application of the topics presented throughout the Multi-cloud Load Balancing Principles track of the Skillsoft Aspire Load Balancing Multi and Hybrid Cloud Solutions Journey.
15m has Assessment available Badge
Multi-cloud Load Balancing: Disaster Backup & Recovery
Traditionally, disaster backup and recovery involved backups being stored on special hardware such as tape and in multiple off-site locations. Disaster recovery often involved manual intervention and downtime. With cloud and multi-cloud configurations, new techniques take advantage of scalable resource, load balancing, and failover for easier replicated backup and disaster recovery while maintaining business continuity. In this course, you'll learn the history of disaster backup and recovery, both prior to the cloud and relating to cloud and multi-cloud. You'll learn how responsibilities are managed for disaster backup and recovery in the cloud, as well as how various large public cloud providers manage data backup. You'll explore how to configure disaster backup for the various public cloud providers, challenges of implementing cloud disaster backup and recovery, and application load balancing with multi-cloud. Finally, you'll learn how load balancing applies to data backup and recovery and contrast this with application load balancing.
14 videos | 1h has Assessment available Badge
Solutions for Multi-cloud Load Balancing: Load Balancing with Docker
Docker Swarm provides all the tools necessary to spin up Docker Swarm clusters with relative ease. It is also readily available, being integrated directly into Docker Engine, which means Docker itself now provides orchestration. Docker Swarm's routing mesh networking model is excellent. But it lacks availability, visibility, security and control that more complex, production deployments require, so some help is needed to fill in the missing components. In this course, you'll explore Docker components and objects, as well as how Docker deployments differ from traditional deployments, with a focus on the microservices architecture afforded by Docker's container technology. You'll also learn how microservice architecture has changed load balancing deployments. Next, you'll investigate fully versus self-managed cloud services, Docker load balancing scenarios including Docker Swarm, NGINX open-source load balancing, and using an external edge router in a Docker Swarm cluster. Finally, you'll learn how to install Docker and configure load balancing for various example scenarios.
15 videos | 1h has Assessment available Badge
Solutions for Multi-cloud Load Balancing: Load Balancing Kubernetes Solutions
Kubernetes is the de facto standard orchestration technology for containerized workloads. The Kubernetes networking model is implemented using network plugins that adhere to the Container Network Interface specification designed for interoperability. In this course, you'll explore Kubernetes clusters and examine the various components and objects that make up a typical Kubernetes clust