Training: Oplossingen voor Multi-cloud Load Balancing

• 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.

• 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
• cluster. You'll explore the challenges commonly encountered with
• Kubernetes load balancing scenarios and Kubernetes services. Next,
• you'll learn to analyze how Kubernetes networking and services
• incorporate load balancing and how Kubernetes Ingress integrates
• load balancing in various real-world scenarios. You'll learn how to
• work with real a Kubernetes cluster by installing and then
• bootstrapping a real Kubernetes cluster. Lastly, you'll gain
• experience with network traffic management in Kubernetes by
• configuring Pod distribution, applying network policies, and
• configuring Kubernetes Ingress.

Final Exam: Solutions for Multi-cloud Load Balancing will test your knowledge and application of the topics presented throughout the Solutions for Multi-cloud Load Balancing track of the Skillsoft Aspire Load Balancing Multi and Hybrid Cloud Solutions Journey.