f5 distributed cloud customer edge
7 TopicsF5 Distributed Cloud - Customer Edge Site - Deployment & Routing Options
F5 Distributed Cloud Customer Edge (CE) software deployment models for scale and routing for enterprises deploying multi-cloud infrastructure. Today's service delivery environments are comprised of multiple clouds in a hybrid cloud environment. How your multi-cloud solution attaches to your existing on-prem and cloud networks can be the difference between a successful overlay fabric, and one that leave you wanting more out of your solution. Learn your options with F5 Distributed Cloud Customer Edge software.11KViews18likes3CommentsF5 Distributed Cloud - Listener Logic
In a proxy, there is a client-side and server-side connection. In this article, we'll focus on how the proxy "picks-up" or "listens" for traffic on the client-side. There are many options and creative ideas that adapt to enterprises business needs. First, we need to know the mechanics and what is possible, and this article covers those basics.2.1KViews14likes1CommentDemo Guide: Edge Compute with F5 Distributed Cloud Services (SaaS Console, Automation)
This demo guide provides walk-through steps or Terraform scripts to deploy and connect with multi-cloud-networking (MCN) a sample Compute Edge app infrastructure across multiple cloud providers (Azure and AWS) or a single cloud of your choosing.2.6KViews8likes0CommentsInfrastructure as Code: Automating F5 Distributed Cloud CEs with Ansible
Introduction Welcome to the first installment of our Infrastructure as Code (IaC) series, focusing on F5 products and Ansible. This series has been a long-standing desire of mine to showcase the ability of IaC utilizing Ansible Automation Platform to deliver Day 0 through Day 2 operations with multiple F5 virtualized platforms. Over time, I've encountered numerous financial clients expressing interest in this topic. For many of these clients, the prospect of leveraging IaC to redeploy an environment outweighs the traditional approach of performing upgrades. This series will hopefully provide insight, documentation, and code for anyone embarking on this journey. Why Ansible Automation Platform? Like most people, I started my journey with community editions of Ansible. As my coding became more complex, so did the need to ensure that my lab infrastructure adhered to the best security guidelines required by my company (my goal being to mimic how customers would/should do things in real life). I began utilizing Ansible Automation Platform to ensure my credentials were protected, as well as to organize and share my code with the rest of my team (following the 'just in case you got hit by a bus' theory). Ansible Automation Platform utilizes execution environments (EE) to ensure code runs efficiently and cleanly every time. Now, I am also creating Execution Environments via GitHub with workflows and pushing them up to Quay.io (https://github.com/VDI-Tech-Guy/f5-execution-engines). Huge thanks to Colin McNaughton at Red Hat for making my life so much easier with building EEs! Why deploy F5 Distributed Cloud on VMware vSphere? As I mentioned before, I had this desire to build this Infrastructure as Code (IaC) code a while back. This was prior to the Broadcom acquisition of VMware. Being an ex-VMware employee, I had a lot of knowledge of virtualization platform infrastructure going into this project, and I started my focus on deploying on VMware vSphere. F5 Distributed Cloud can be deployed in any cloud, anywhere. However, I really wanted to focus on on-premises deployments because not every customer can afford the cloud. Moreover, there's always a back-and-forth battle between on-premises and the cloud, which has evolved into the Hybrid Cloud and the Multi-Cloud. I do intend to extend this series to the Multi-Cloud, but these initial deployments will be focused on VMware vSphere, as it is still utilized in many organizations across the globe. Information about the Setup in the Demo Video If you watch the video (down below) on how the deployment works, you can see i did a bunch of the pre-work prior to launching the deployment, in the git repostory (link in Resources). Here are some Prework items i did Had a fully functional Ansible Automation Platform 2.4+ enviornment setup and working. (at the time the controller version was 4.4.4) Execution Environment was imported into Ansible Automation Platform Controller The Project was setup to import the Playbooks from the Git Repository (In Resources Section below) and setup the Default Execution Environment Demo Inventory was setup (in our usecase we only needed the vCenter Host) We Setup Network Credentials for the vCenter The Template was setup and had Variables populated in it (Note the API Key was hidden). As mentioned in the Video (Below) The variables were populated to my environment, this contains all the information, i have provided a Demo Example in the git repository for anyone to mimic my settings to their environment, also the example has comments about each field or area of a field and the purpose of the variable. { "rhel_location": "https://vesio.blob.core.windows.net/releases/rhel/9/x86_64/images/vmware/rhel-9.2023.29-20231212012955-single-nic.ova", "xc_api_credential": "_____________________________________", "xc_namespace": "mmabis-automation", "xc_console_host": "f5-bd", "xc_user": "admin", "xc_pass": "Ansible123!", "vcenter_hostname": "{{ ansible_host }}", "vcenter_username": "{{ ansible_env.ANSIBLE_NET_USERNAME }}", "vcenter_password": "{{ ansible_env.ANSIBLE_NET_PASSWORD }}", "vcenter_validate_certs": false, "datacenter_name": "Apex", "cluster_name": "Worlds-Edge", "datastore": "TrueNAS-SSD", "dvs_switch_name": "DSC-DVS", "dns_name_servers": [ "192.168.192.20", "192.168.192.1" ], "dns_name_search": [ "dsc-services.local", "localdomain" ], "ntp_servers": [ "0.pool.ntp.org", "1.pool.ntp.org", "2.pool.ntp.org" ], "domain_fqdn": "dsc-services.local", "DVS_Name": "{{dvs_switch_name}}", "Internal_Network": "DVS-Server-vLan", "External_Network": "DVS-DMZ-vLan", "resource_pool_name": "Lab-XC", "waiting_period": 2, "temp_download_location": "/tmp/xc-ova-download.ova", "xc_ova_builds": [ { "hostname": "xc-automation-rhel-demo", "tmpl_name": "xc-automation-rhel-demo", "admin_password": "Ansible123!", "cluster_name": "xc-automation-cluster-rhel-demo", "dhcp": "no", "external_ip": "172.16.192.170", "external_ip_subnet_prefix": "24", "external_ip_gw": "172.16.192.1", "external_ip_route": "0.0.0.0/0", "internal_ip": "192.168.192.170", "internal_ip_subnet_prefix": "22", "internal_ip_gw": "192.168.192.1", "certified_hw": "vmware-regular-nic-voltmesh", "latitude": "39.51833126", "longitude": "-104.759496962", "build_count": 3, "nic_config": "rhel-multi" } ] } Launching the Code With all of that prework Handled it was as easy as launch the code, there were a few caviats i learned over time when dealing with the atuomation that i wanted to share. Never re-use a cluster name in F5 Distributed Cloud, especially if it was used in a different version of the CE (there were communications issues with the CEs and previous cluster information that was stored in F5 Distributred Cloud Console) The Api Credentials are system level when trying to accept registration or create the token for importing in to the environment. This code is designed to check for "{{ xc-namespace}}-token" if it exists then it will utilize the existing token, if not it will try to create it so you need system level permissions to do this. Build Count should be 3 by default (still needs to be defined) or an ODD number based on recomendations i have heard from our F5 Field. If there are more that i think of ill definatly edit the post and make sure its up-to-date. When launching the code i was able to get the lab to build up correctly multiple times, so please if there is an issue or something i might not have documented well, feel free to let me know and give it a shot for yourself! YouTube Video now on DevCentral Channel Resources https://github.com/f5devcentral/f5-bd-ansible-day0-automation - The Code utilized for this deployment https://github.com/VDI-Tech-Guy/f5-execution-engines - Building Execution Environments with Github and Workflows Conclusion I do hope that this series will help everyone who wants to embrace IaC and if you have any questions feel free to reach out!495Views3likes0CommentsThe App Delivery Fabric with Secure Multicloud Networking
This tutorial with accompanying workflow guide deploys customer edge sites and uses Distributed Cloud Multicloud Networking App Connect to establish a Secure MCN App Delivery Fabric, enabling only Layer7 app connectivity between two cloud sites. Manual and automation workflows show how to make this NetOps and DevOps task come to life.228Views2likes0Comments