Less than 60 seconds lab setup
Code is community submitted, community supported, and recognized as ‘Use At Your Own Risk’. Today I'll share with you my less than 60 seconds lab setup which I use for testing basic stuff. It's an AS3 declaration that will setup two virtuals, the first virtual that accepts any http traffic on port 80 and forwards it to a second virtual that will respond 200 OK to any HTTP request. The lab can easily be extended to add a https virtual. Purpose of this setup I use this configuration for many scenarios. With this setup I can test different profiles, TLS configurations (requires small adjustments), AWAF rules and iRules attached to the first virtual server without the requirement to setup any backend application. Deploying this AS3 declaration takes less than 20 seconds and I have a basic lab environment ready. Prerequisites In order to use this config, you must have AS3 installed on your BIG-IP. If you have not worked with AS3 yet and you are new to automation, I recommend you to start with Visual Studio Code and install The F5 Extension. From The F5 Extension you can connect your BIG-IP and install the AS3 extension and deploy the declaration. Furthermore: if you have not with AS3 yet - you're damn late to the party! My AS3 declaration The full declaration is available on GitHub, let's just look at the iRules. The iRules are the important part of this lab config. Don't get confused that you won't see the iRule code in the AS3 declaration. It's there, but it's base64 encoded. Forwarding iRule The iRule attached to the first virtual just forwards to the second virtual. Don't get confused by the path /simple_testing/responder_service/. AS3 works with Partitions, so called tenants. Therefore I must reference the second virtual with the name of its partition and application. when HTTP_REQUEST { virtual /simple_testing/responder_service/service_http_200 } HTTP Responder iRule The second iRule is attached to the second virtual server. It will just return a HTML page that says 200 OK to any request. when HTTP_REQUEST { HTTP::respond 200 content { <html> <head> <title>BIG-IP</title> </head> <body> 200 OK </body> </html> } } Deployment As said above, for starting with this you don't need anything but a BIG-IP and Visual Studio Code. After installing the F5 Extension you can connect (using the + symbol) to your BIG-IP from VS Code. After connecting you can install the AS3 extension on your BIG-IP. And then you are ready to deploy the AS3 declaration linked above. The deployment will take less than 60 seconds. Once the deployment is done, you will have a Partition called on your BIG-IP. There you will find the two virtual servers. The website is nothing special... What's next? In the next couple of days, I will share with you a simple website I made with the help of ChatGPT. It can run on any webserver, NGINX, Apache, IIS... The website has 4 flavors (red, blue, green and yellow) and I use it for testing LTM use-cases like persistence, priority groups, http profiles, SNAT, etc. This will be my less than 600 seconds lab.Less than 600 seconds lab
Code is community submitted, community supported, and recognized as ‘Use At Your Own Risk’. In my previous post I shared with you, how you can deploy a lab environment in less than 60 seconds with AS3. This time let's take a look at another lab, that you can set up in less than 10 minutes. Purpose of this lab This lab requires a web server. And some minimal knowledge of Linux (Debian) and git. In my example, I use NGINX. The web application consists of four pages in four colours (red, blue, yellow and green) that are designed to demonstrate the load balancing functionality of the F5 Local Traffic Manager (LTM). You can use the app to familiarise yourself with load balancing functionalities such as: different load balancing methods and priority groups different types of persistence caching HTTP, SSL and other profiles SNAT The web application has a couple of nice features real-time server information display like Server hostname Request timestamp (ISO 8601 format) Request URI Source IP address X-Forwarded-For (XFF) header User-Agent informatio modern, responsive UI picture gallery Prerequisites First you need to set up and configure the web server. Add multiple IPs to the web server (Debian 11+). Edit /etc/network/interfaces: sudo nano /etc/network/interfaces Add the following: allow-hotplug eth0 iface eth0 inet static address 192.168.1.10/24 gateway 192.168.1.1 auto eth0:1 allow-hotplug eth0:1 iface eth0:1 inet static address 192.168.1.11/24 auto eth0:2 allow-hotplug eth0:2 iface eth0:2 inet static address 192.168.1.12/24 auto eth0:3 allow-hotplug eth0:3 iface eth0:3 inet static address 192.168.1.13/24 Restart networking: sudo systemctl restart networking Note: Replace eth0 with your actual interface name. Generate SSL Certificate Create a self-signed SSL certificate with RSA 2048-bit key (no password): openssl req -x509 -nodes -days 365 -newkey rsa:2048 \ -keyout nginx-selfsigned.key -out nginx-selfsigned.crt \ -subj "/C=US/ST=State/L=City/O=Organization/CN=example.com" Installing the web application Example for NGINX 1. Clone the repository git clone https://github.com/webserverdude/ltm-demo-html.git cd webpages 2. Deploy to your web server sudo cp -r * /var/www/ltm-demo-html 3. Configure your web server see below NGINX Configuration The configuration includes HTTP as well as HTTPS listeners. Add this configuration to your NGINX server block: server { listen 192.168.1.10:8000 default_server; root /var/www/ltm-demo-html; index index_red.html; server_name _; add_header X-Backend-Server 1; add_header Set-Cookie "X-Backend-Server=1; Max-Age=10"; location / { try_files $uri $uri/ =404; } # Enable the substitution filter sub_filter_once off; # Allow multiple substitutions # Replace template variables with actual NGINX variables sub_filter '{{server_name}}' '$hostname'; sub_filter '{{time_iso8601}}' '$time_iso8601'; sub_filter '{{request_uri}}' '$request_uri'; sub_filter '{{remote_addr}}' '$remote_addr'; sub_filter '{{http_x_forwarded_for}}' '$http_x_forwarded_for'; sub_filter '{{http_user_agent}}' '$http_user_agent'; } server { listen 10.0.2.71:443 ssl default_server; ssl_certificate /etc/ssl/certs/nginx-selfsigned.crt; ssl_certificate_key /etc/ssl/private/nginx-selfsigned.key; # SSL configuration ssl_protocols TLSv1.2 TLSv1.3; ssl_ciphers ECDHE-RSA-AES128-GCM-SHA256:ECDHE-RSA-AES256-GCM-SHA384:ECDHE-RSA-AES128-SHA256:ECDHE-RSA-AES256-SHA384; ssl_prefer_server_ciphers off; ssl_session_cache shared:SSL:10m; ssl_session_timeout 10m; root /var/www/ltm-demo-html; index index_red.html; server_name _; add_header X-Backend-Server 1; add_header Set-Cookie "X-Backend-Server=$request_id; Max-Age=10; Secure; SameSite=Strict"; location / { try_files $uri $uri/ =404; } # Enable the substitution filter sub_filter_once off; # Allow multiple substitutions # Replace template variables with actual NGINX variables sub_filter '{{server_name}}' '$hostname'; sub_filter '{{time_iso8601}}' '$time_iso8601'; sub_filter '{{request_uri}}' '$request_uri'; sub_filter '{{remote_addr}}' '$remote_addr'; sub_filter '{{http_x_forwarded_for}}' '$http_x_forwarded_for'; sub_filter '{{http_user_agent}}' '$http_user_agent'; } Note: This is just a snippet for one HTTP and one HTTPS virtual. The full config for all four pages is available at my Git repository in the nginx_config folder. Once this is done, check the web pages from your browser. Make sure they work as expected. Configure your BIG-IP After the web server is running and serving all 4 pages with HTTP and HTTPS, you can configure your BIG-IP. My AS3 declaration includes an HTTP and an HTTPS virtual server, two pools and some http and persistence profiles. Here is a snippet: { "$schema": "https://raw.githubusercontent.com/F5Networks/f5-appsvcs-extension/main/schema/latest/as3-schema.json", "class": "AS3", "action": "deploy", "persist": true, "declaration": { "class": "ADC", "schemaVersion": "3.0.0", "LTM_Demo": { "class": "Tenant", "LTM_Demo": { "class": "Application", "vs_http": { "class": "Service_HTTP", "virtualAddresses": [ "192.168.3.80" ], "persistenceMethods": [], "profileHTTP": { "use": "pr_http_xff" }, "pool": "pl_ltm-demo_http", "snat": { "use": "pl_SNAT_addresses" } }, ... The complete AS3 configuration can be found in my Git repository. The repository also contains an additional AS3 declaration with further configuration options. Note: You should not deploy the second declaration with the optional configurations; instead, merge the snippets you want to use into ltm_demo.json. Deployment The deployment of the AS3 declaration works similar like I described in my previous post. What's next? You can try differnet load balancing algorithms, persistence methods, caching, SSL configurations. Once you set up the web app and the LTM config, play around - the sky is the limit. Have fun!F5 Automation Toolchain Upload
Problem this snippet solves: This script uploads, installs, and verifies the three toolchain components: declarative onboarding, as3, and telemetry streaming. Note: bip.py in BIGREST must be modified to allow 202 response codes. The author will have this fixed in the next release, but you will need to modify line 183 in big.py: if response.status_code != 200 and response.status_code != 201 and response.status_code != 202: How to use this snippet: python toolchain_prep.py 10.0.2.26 admin admin Instantiating BIG-IP (host 10.0.2.26) Uploading packages Uploading f5-declarative-onboarding-1.20.0-2.noarch.rpm Uploading f5-appsvcs-3.27.0-3.noarch.rpm Uploading f5-telemetry-1.19.0-3.noarch.rpm Installing packages Installing f5-declarative-onboarding-1.20.0-2.noarch.rpm Installing f5-appsvcs-3.27.0-3.noarch.rpm Installing f5-telemetry-1.19.0-3.noarch.rpm Quick break to register packages... Verifying packages f5-declarative-onboarding-1.20.0-2.noarch.rpm installed and verified f5-appsvcs-3.27.0-3.noarch.rpm installed and verified f5-telemetry-1.19.0-3.noarch.rpm installed and verified ---complete--- Tested this on version: No Version Found
as3 Python module
Problem this snippet solves: This is a python module to simplify using the F5 Networks AS3 utility. Downloads, installs and uninstalls the AS3 package https://clouddocs.f5.com/products/extensions/f5-appsvcs-extension/latest/userguide/installation.html How to use this snippet: Installation Install using pip: pip install as3 Example #!/usr/bin/env python import as3 t = as3.as3(host='1.1.1.1',username='admin',password='admin') # Check whether AS3 is installed: print (str(t.isInstalled())) # Download the latest AS3 version from Github print (str(t.retrieveVersion())) # Install a specific version on a different host - if you leave out filename it will download the latest t.installAS3(host='2.2.2.2',username='admin',password='admin',filename='f5-appsvcs-3.16.0-6.noarch.rpm') # Uninstall it t.uninstallAS3(host='2.2.2.2',username='admin',password='admin') Methods as3([debug,host,username,password,port,usetoken]) - initialise an AS3 object isInstalled([version,host,username,password,usetoken,port]) - Checks whether AS3 is installed. Returns version dict, True or False retrieveVersion([release]) - Downloads a specific release or the latest release of the RPM package installAS3([version,filename,host,username,password,usetoken,port]) - Installs AS3 as a package. Returns True or False uninstallAS3([version,filename,host,username,password,usetoken,port]) - Uninstalls current AS3 package. Returns True or False github(url, [method,data,useragent,stream]) - this is a helper to retrieve from github F5 repository. Return True or False versionToId(version) - Returns a Github object ID related to a version number. eg version is 'v3.16.0' and ID is 22093972 Tested this on version: 13.0
