Experience F5 Distributed Cloud with Multi-Cloud Sites and Distributed Apps

Do your applications span multiple clouds? Do you want to simplify and secure connectivity between app services in different clouds or on-prem? Do you want to optimize or improve performance of apps serving a geographically dispersed user base?

F5 Distributed Cloud Services is a no-brainer choice for any and all of the above use-cases. To experience how F5 Distributed Cloud addresses these and other scenarios, F5 has released a new interactive simulator: a guided hands-on experience with F5 Distributed Cloud Mesh, F5 Distributed Cloud Stack, and F5 Distributed Cloud Console… plus a few simulated command-line interfaces to test/validate your multi-cloud and distributed cloud connectivity.

It takes just a few minutes to walk through any one of these guided simulations, and experience what F5 Distributed Cloud can do for your own applications:

Multi-Cloud Networking: Cloud-to-Cloud via HTTP Load Balancer

One of the core F5 Distributed Cloud use-cases is multi-cloud networking. Use the simulated F5 Distributed Cloud Mesh and F5 Distributed Cloud Console to set up Layer 7 connectivity between an Amazon VPC site, Azure VNET site, and use an HTTP Load Balancer to securely route network traffic.

Multi-Cloud Networking: Cloud-to-Cloud via Sites

As opposed to using a Load Balancer, F5 Distributed Cloud Mesh can also enable Layer 3 connectivity between clouds. Use a simulated F5 Distributed Cloud Console to set up an Amazon VPC site, Azure VNET site, and a secure network between the two clouds with end-to-end monitoring.

Multi-Cloud Networking Brownfield: Cloud-to-Cloud via Sites

While the above use-cases focused on a greenfield deployment of new networks in each of the cloud service providers, this simulation leverages existing virtual networks to securely connect (Layer 3) between AWS & Azure with F5 Distributed Cloud Mesh and F5 Distributed Cloud Console.

Cluster to cluster AWS Azure HTTP Load Balancer

F5 Distributed Cloud reduces IT complexity by simplifying operation and deployment of workloads to multiple Kubernetes clusters, especially across multiple clouds. Use simulated the F5 Distributed Cloud Console to add an AWS EKS and Azure AKS cluster into the F5 Distributed Cloud Sites, use service discovery, and create an HTTP Load Balancer to expose an NGINX web server service running on EKS to a workload running on AKS. 

Cluster to cluster AWS Azure TCP Load Balancer

Connect Kubernetes clusters and workloads by way of TCP Load Balancer (Layer 4) via the simulated F5 Distributed Cloud Console experience. Add an AWS EKS and Azure AKS cluster into the F5 Distributed Cloud Sites, use service discovery, and create a TCP Load Balancer to expose a MySQL database service running on EKS to a workload running on AKS.

Modern Apps in a Distributed Cloud with F5 Distributed Cloud (CLI with kubectl)

F5 Distributed Cloud’s approach to modern, distributed apps is enabling a service, multiple services, or even an entire app to be distributed closer to end-users via the F5 Distributed Cloud global network, resulting in dramatically improved app performance. Deploy 3 app services to virtual Kubernetes (vK8s) instantiated in all the F5 Distributed Cloud regional edge sites globally by way of a simulated Command Line Interface.

Modern Apps in a Distributed Cloud with F5 Distributed Cloud (Deploy with F5 Distributed Cloud Console)

As in the previous use-case, improve time-to-market, performance, and global availability of your distributed apps by leveraging the F5 Distributed Cloud Global Network. However, in this case use the simulated F5 Distributed Cloud Console to add a new front-end service workload for a sample application.

Don’t miss this opportunity to go hands-on with the F5 Distributed Cloud use-cases: explore these interactive demos to try your hand at multi-cloud connectivity and deploying distributed workloads. Once you run through simulator, sign up for F5 Distributed Cloud in any one of the tiers available to you and your organization!

Updated Jun 23, 2022
Version 3.0

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