Customer-driven Site Deployment Using AWS and F5 Distributed Cloud Terraform Modules
Introduction and Problem Scope F5 Distributed Cloud Mesh’s Secure Networking provides connectivity and security services for your applications running on the Edge, Private Clouds, or Public Clouds. This simplifies the deployment and configuration of connectivity and security services for your Multi-Cloud and Edge Cloud deployment needs across heterogeneous environments. F5 Distributed Cloud Services leverages the “Site” construct to deploy our Secure Mesh or AppStack Site instances to manage workloads. A Site could be a customer location like AWS, Azure, GCP (Google Cloud Platform), private cloud, or an edge site. To run F5 Distributed Cloud Services, the site needs to be deployed with one or more instances of F5 Distributed Cloud Node, a software appliance that is managed by F5 Distributed Cloud Console. This site is where customer applications and F5 Distributed Cloud services are running. To deploy a Node, different options are available: Customer deployment topology description We will explain the above steps in the context of a greenfield deployment, the Terraform scripts of which are available here. The corresponding logical topology view of this deployment is shown in Fig.2. This deployment scenario instantiates the following resources: Single-node CE cluster AWS SLO interface AWS VPC AWS SLO interface subnet AWS route tables AWS Internet Gateway Assign AWS EIP to SLO The objective of this deployment is to create a Site with a single CE node in a new VPC for the provided AWS region and availability zone. The CE will be created as an AWS EC2 instance. An AWS subnet is created within the VPC. CE Site Local Outside (SLO) interface will be attached to VPC subnet and the created EC2 instance. SLO is a logical interface of a site (CE node) through which reachability is achieved to external (e.g. Internet or other services outside the public cloud site). To enable reachability to the Internet, the default route of the CE node will point to the AWS Internet gateway. Also, the SLO will be configured with an AWS External IP address (Elastic IP). Fig.2. Customer Deployment Topology in AWS List of terraform input parameters provided in vars file Parameters must be customized to adapt to the customer environment. The definition of the parameters in the “terraform.tfvars” show in below table. Parameters Definitions owner Identifies the email of the IT manager used to authenticate to the AWS system project_prefix Prefix that will be used to identify the resource objects in AWS and XC. project_suffix The suffix that will be used to identify the site’s resources in AWS and XC ssh_public_key_file Local file system’s path to ssh public key file f5xc_tenant Full F5XC tenant name f5xc_api_url F5XC API url f5xc_cluster_name Name of the Cluster f5xc_api_p12_file Local file system path to api_cert_file (downloaded from XC Console) aws_region AWS region for the XC Site aws_existing_vpc_id Existing VPC ID (brownfield) aws_vpc_cidr_block CIDR Block of the VPC aws_availability_zone AWS Availability Zone (a) aws_vpc_slo_subnet_node0 AWS Subnet in the VPC for the SLO subnet Configuring other environmental variables Export the following environment variables in the working shell, setting it to customer’s deployment context. Environment Variables Definitions AWS_ACCESS_KEY AWS Access key for authentication AWS_SECRET_ACCESS_KEY AWS Secret key for authentication VES_P12_PASSWORD XC P12 Password from Console TF_VAR_f5xc_api_p12_cert_password Same as VES_P12_PASSWORD Deploy Topology Deploy the topology with: terraform init terraform plan terraform deploy –auto-approve And monitor the status of the Sites on the F5 Distributed Cloud Services Console. Created site object will be available in Secure Mesh Site section of the F5Distributed CloudServices Console. Video-based description of the deployment Scenario This demonstration video shows the procedure for provisioning the deployment topology described above in three steps. References https://docs.cloud.f5.com/docs-v2/platform/services/mesh/secure-networking https://docs.cloud.f5.com/docs-v2/platform/concepts/site https://docs.cloud.f5.com/docs-v2/multi-cloud-network-connect/how-to/site-management https://docs.cloud.f5.com/docs-v2/multi-cloud-network-connect/how-to/site-management/deploy-aws-site-terraform https://docs.cloud.f5.com/docs-v2/multi-cloud-network-connect/troubleshooting/troubleshoot-manual-ce-deployment-registration-issuesF5 Distributed Cloud Site Lab on Proxmox VE with Terraform
Overview F5 Distributed Cloud (XC) Sites can be deployed in public and private cloud like VMWare and KVM using images available for download at https://docs.cloud.f5.com/docs/images . Proxmox Virtual Environment is a complete, open-source server management platform for enterprise virtualization based on KVM and Linux Containers. This article shows how a redundant Secure Mesh site protecting a multi-node App Stack site can be deployed using Terraform automation on Proxmox VE. Logical Topology ----------------- vmbr0 (with Internet Access) | | | +----+ +----+ +----+ | m0 | | m1 | | m2 | 3 node Secure Mesh Site +----+ +----+ +----+ | | | ------------------------------------- vmbr1 (or vmbr0 vlan 100) | | | | | | +----+ +----+ +----+ +----+ +----+ +----+ | m0 | | m1 | | m2 | | w0 | | w1 | | w2 | 6 node App Stack Site +----+ +----+ +----+ +----+ +----+ +----+ The redundant 3 node Secure Mesh Site connects via Site Local Outside (SLO) interfaces to the virtual network (vmbr0) for Internet Access and the Secure Mesh Site providing DHCP services and connectivity via its Site Local Inside (SLI) interfaces to the App Stack nodes connected to another virtual network (vmbr1 or vlan tagged vmbr0). Each node from the App Stack site is getting DHCP services and Internet connectivity via the Secure Mesh Sites SLI interfaces. Requirements Proxmox VE server or cluster (this example leverages a 3 node cluster) with a total capacity of at least 24 CPU (sufficient for 9 nodes, 4 vCPU each) 144 GB of RAM (for 9 nodes, 16GB each) ISO file storage for cloud-init disks (local or cephfs) Block storage for VM's and template (local-lvm or cephpool) F5 XC CE Template (same for Secure Mesh and App Stack site, see below on how to create one) F5 Distributed Cloud access and API credentials Terraform CLI Terraform example configurations files from https://github.com/mwiget/f5xc-proxmox-site The setup used to write this article consists of 3 Intel/ASUS i3-1315U with 64GB RAM and a 2nd disk each for Ceph storage. Each NUC has a single 2.5G Ethernet port, which are interconnected via a physical Ethernet Switch and internally connected to Linux Bridge vmbr0. The required 2nd virtual network for the Secure Mesh Site is created using the same Linux Bridge vmbr0 but with a VLAN tag (e.g. 100). There are other options to create a second virtual network in Proxmox, e.g. via Software Defined Networking (SDN) or dedicated physical Ethernet ports. Installation Clone the example repo $ git clone https://github.com/mwiget/f5xc-proxmox-site $ cd f5xc-proxmox-site Create F5 XC CE Template The repo contains helper scripts to download and create the template that can be executed directly from the Proxmox server shell. Modify the environment variable in the scripts according to your setup, mainly the VM template id to one that isn't used yet and the block storage location available on your Proxmox cluster (e.g. local-lvm or cephpool): $ cat download_ce_image.sh #!/bin/bash image=$(curl -s https://docs.cloud.f5.com/docs/images/node-cert-hw-kvm-images|grep qcow2\"| cut -d\" -f2) if test -z $image; then echo "can't find qcow2 image from download url. Check https://docs.cloud.f5.com/docs/images/node-cert-hw-kvm-images" exit 1 fi if ! -f $image; then echo "downloading $image ..." wget $image fi The following script must be executed on the Proxmox server (don't forget to adjust qcow2, id and storage): $ cat create_f5xc_ce_template.sh #!/bin/bash # adjust full path to downloaded qcow2 file, target template id and storage ... qcow2=/root/rhel-9.2024.11-20240523024833.qcow2 id=9000 storage=cephpool echo "resizing image to 50G ..." qemu-img resize $qcow2 50G echo "destroying existing VM $id (if present) ..." qm destroy $id echo "creating vm template $id from $image .." qm create $id --memory 16384 --net0 virtio,bridge=vmbr0 --scsihw virtio-scsi-pci qm set $id --name f5xc-ce-template qm set $id --scsi0 $storage:0,import-from=$qcow2 qm set $id --boot order=scsi0 qm set $id --serial0 socket --vga serial0 qm template $id Create terraform.tfvars Copy the example terraform.tfvars.example to terraform.tfvars and adjust the variables based on your setup: $ cp terraform.tfvars.example terraform.tfvars project_prefix Site and node names will use this prefix, e.g. your initials ssh_public_key Your ssh public key provided to each node pm_api_url Proxmox API URL pm_api_token_id Proxmox API Token Id, e.g. "root@pam!prox" pm_api_token_secret Proxmox API Token Secret pm_target_nodes List of proxmox servers to use iso_storage_pool Proxmox storage pool for the cloud init ISO disks pm_storage_pool Proxmox storage pool for the VM disks pm_clone Name of the created F5 XC CE Template pm_pool resource pool to which the VM will be added (optional) f5xc_api_url https://<tenant>.console.ves.volterra.io/api f5xc_api_token F5 XC API Token f5xc_tenant F5 XC Tenant Id f5xc_api_p12_file Path to the encrypted F5 XC API P12 file. The password is expected to be provided via environment variable VES_P12_PASSWORD Set count=1 for module "firewall" The examples defined in the various toplevel *.tf files use Terraform count meta-argument to enable or disable various site types to build. Setting `count=0` disables it and `count=1` enables it. It is even possible to create multiple sites of the same type by setting count to a higher number. Each site adds the count index as suffix to the site name. To re-created the setup documented here, edit the file lab-firewall.tf and set `count=1` in the firewall and appstack modules. Deploy sites Use terraform CLI to deploy: $ terraform init $ terraform plan $ terraform apply Terraform output will show periodic progress, including site status until ONLINE. Once deployed, you can check status via F5 XC UI, including the DHCP leases assigned to the App Stack nodes: A kubeconfig file has been automatically created and it can be sourced via env.sh and used to query the cluster: $ source env.sh $ kubectl get nodes -o wide NAME STATUS ROLES AGE VERSION INTERNAL-IP EXTERNAL-IP OS-IMAGE KERNEL-VERSION C NTAINER-RUNTIME mw-fw-appstack-0-m0 Ready ves-master 159m v1.29.2-ves 192.168.100.114 <none> Red Hat Enterprise Linux 9.2024.11.4 (Plow) 5.14.0-427.16.1.el9_4.x86_64 cr i-o://1.26.5-5.ves1.el9 mw-fw-appstack-0-m1 Ready ves-master 159m v1.29.2-ves 192.168.100.96 <none> Red Hat Enterprise Linux 9.2024.11.4 (Plow) 5.14.0-427.16.1.el9_4.x86_64 cr i-o://1.26.5-5.ves1.el9 mw-fw-appstack-0-m2 Ready ves-master 159m v1.29.2-ves 192.168.100.49 <none> Red Hat Enterprise Linux 9.2024.11.4 (Plow) 5.14.0-427.16.1.el9_4.x86_64 cr i-o://1.26.5-5.ves1.el9 mw-fw-appstack-0-w0 Ready <none> 120m v1.29.2-ves 192.168.100.121 <none> Red Hat Enterprise Linux 9.2024.11.4 (Plow) 5.14.0-427.16.1.el9_4.x86_64 cr i-o://1.26.5-5.ves1.el9 mw-fw-appstack-0-w1 Ready <none> 120m v1.29.2-ves 192.168.100.165 <none> Red Hat Enterprise Linux 9.2024.11.4 (Plow) 5.14.0-427.16.1.el9_4.x86_64 cr i-o://1.26.5-5.ves1.el9 mw-fw-appstack-0-w2 Ready <none> 120m v1.29.2-ves 192.168.100.101 <none> Red Hat Enterprise Linux 9.2024.11.4 (Plow) 5.14.0-427.16.1.el9_4.x86_64 cr i-o://1.26.5-5.ves1.el9 Next steps Now it's time to explore the Secure mesh site and the App stack cluster: Deploy a service on the new cluster, create a Load Balancer and Origin pool to expose the service? Need more or less worker nodes? Simply change the worker node count in the lab-firewall.tf file and re-apply via `terraform apply`. Destroy deployment Use terraform again to destroy the site objects in F5 XC and the Virtual Machines and disks on Proxmox with $ terraform destroy Summary This article documented how to deploy a dual nic Secure Mesh site and a multi-node App Stack Cluster via Terraform on Proxmox VE. There are additional examples in secure-mesh-single-nic.tf,secure-mesh-dual-nic.tf and appstack.tf. You can explore and modify the provided modules based on your particular needs. Resources https://github.com/mwiget/f5xc-proxmox-site F5 Distributed Cloud Documentation Terraform Proxmox Provider by Telmate Proxmox Virtual EnvironmentDeploy WAF on any Edge with F5 Distributed Cloud (SaaS Console, Automation)
F5 XC WAAP/WAF presents a clear advantage over classical WAAP/WAFs in that it can be deployed on a variety of environments without loss of functionality. In this first article of a series, we present an overview of the main deployment options for XC WAAP while follow-on articles will dive deeper into the details of the deployment procedures.BIG-IP Orchestrate in private Data Center using Terraform Cloud Agent
What is Terraform Cloud? Terraform Cloud offers organizations a unified workflow for provisioning their cloud, private data center, and SaaS infrastructure, ensuring continuous infrastructure management throughout its entire lifecycle. What is F5 BIG-IP? BIG-IP is a collection of hardware platforms and software solutions providing services focused on security, reliability, and performance. It helps in doing Application delivery server load balancing of applications securely and at scale. BIG-IP can be deployed in private or public clouds. BIG-IP in private Data Center When BIG-IP is in a private data center, it has a private IP, making it tricky to reach with tools like Terraform Cloud from the outside. However, if you're dealing with both private and public clouds using Terraform Cloud, you can use Terraform Cloud agents. These agents help control BIG-IP in private data centers, even when the IP isn't accessible externally. BIG-IP supports Application Services 3 (AS3) and FAST templates, presenting a highly synergistic relationship with Terraform. This synergy is particularly pronounced due to the availability of the BIG-IP Terraform provider, coupled with dedicated resources designed specifically for the deployment of AS3 and FAST templates. AS3 and FAST templates serve as powerful tools for configuring and managing BIG-IP application services. AS3 simplifies the process of defining, managing, and deploying application-related configurations, providing a declarative model for specifying how applications should be set up on BIG-IP devices. FAST, on the other hand, extends automation capabilities by incorporating telemetry functionalities, and enhancing monitoring and reporting capabilities. The integration with Terraform is pivotal in this context, as the BIG-IP Terraform provider facilitates the seamless incorporation of AS3 and FAST templates into infrastructure-as-code (IaC) workflows. The example Terraform configuration is at https://github.com/scshitole/privateDC How to orchestrate BIG-IP in a private Data Center? In this illustrative scenario, the BIG-IP system is operational within a private Data Center. A Virtual Machine has been configured to host the Terraform Cloud agent, encapsulated within a container. The Terraform configuration pertinent to our deployment resides in the GitHub repository: https://github.com/scshitole/privateDC. Let us now turn our attention to the Terraform Agent—an agile and lightweight component capable of executing within a container on a Virtual Machine. Its primary function is to establish and maintain a secure connection with Terraform Cloud, perpetually polling for instructions. Notably, this agent not only retrieves directives from Terraform Cloud but also acquires essential information regarding the Terraform workspace and the TF configuration. What distinguishes this agent is its seamless operation without necessitating alterations to existing firewall rules. Its communication with Terraform Cloud transpires over HTTPS and only demands appropriately configured DNS settings. Upon queuing a Terraform plan, the control plane initiates the dispatch of the configuration to the agent. Subsequently, the agent diligently retrieves the workspace and orchestrates the deployment of the configuration onto the BIG-IP infrastructure. What advantages does this solution offer? Automation Workflows with Terraform Cloud: By leveraging Terraform Cloud, we gain the capability to establish automated workflows for configuring BIG-IP. This not only streamlines the configuration process but also enhances efficiency through the power of automation. Additionally, Terraform Cloud enables the orchestration of BIG-IP Web Application Firewall (WAF) configurations in a Hybrid Cloud environment, providing a comprehensive solution for managing security across diverse infrastructures. Enhanced Security with Maintained Private IPs and Credentials: The solution ensures a robust security posture by maintaining the confidentiality of the infrastructure's private IP addresses and credentials. This practice prevents security sprawls and unauthorized access attempts, fortifying the integrity of the entire system. Seamless BIG-IP Configuration Migration: The flexibility of BIG-IP configuration migration is a notable advantage, allowing for a smooth transition between private and public cloud environments. This bidirectional migration capability ensures adaptability to evolving infrastructure needs, facilitating a seamless shift of BIG-IP configurations as organizational requirements dictate. Whether moving configurations from a private cloud to a public cloud or vice versa, this capability provides agility and scalability in infrastructure management. How to set up configuration on Terraform Cloud? o Once logged into Terraform Cloud, choose your organization from the available options. o Go to the Projects & Workspaces section and opt for the Version Control Workflow. o The BIG-IP Terraform configuration template resides in the GitHub repository; please choose the relevant repository. o Choose the correct GitHub repository; it should be visible here. o Now, provide a name for the workspace; feel free to select something relevant, but it must be unique. o Enter the variables here, including details such as the BIG-IP's IP address, username, and password. Ensure to choose the HCL option, and if needed, you can set it as invisible. o Then, go to the established workspace and click on "New run. o Go to the Agents section and select Create Agent Pool. o Enter a fitting name for the Agent Pool, as illustrated. You can opt for a unique name matching the workspace for easy identification, although it's not mandatory. o Provide a suitable description for the Agent Pool, explaining its specific purpose or activities. Then, proceed to click on "Generate Token"; you will require this token when running the agent. o Copy the newly generated token and follow the outlined steps to configure your agents. Run the provided docker command, including essential environment variables like TFC_AGENT_TOKEN and TFC_AGENT_NAME. If desired, you can also run the docker in the background using the appropriate docker command option. Key Take Away Terraform Cloud streamlines infrastructure provisioning and management across various environments for consistent lifecycle control. Terraform Cloud agents enable effective orchestration of BIG-IP configurations in private data centers, addressing challenges associated with private IPs. The seamless integration of BIG-IP, AS3, FAST templates, and Terraform supports efficient infrastructure-as-code workflows, especially beneficial in multi-cloud setups. Terraform Cloud facilitates automated workflows, simplifies BIG-IP configurations, and supports orchestrating Web Application Firewall (WAF) setups in Hybrid Cloud environments. Emphasizing security, the solution maintains the confidentiality of private IPs and credentials, preventing security sprawl and unauthorized access. The solution offers flexibility by allowing seamless BIG-IP configuration migration between private and public cloud environments, ensuring adaptability and scalability. For more details, please watch the accompanying video https://youtu.be/RgCqnDxpf3E
Using F5's Terraform modules in an air-gapped environment
Introduction IT Industry research, such as Accelerate, shows improving a company's ability to deliver software is critical to their overall success. The following key practices and design principles are cornerstones to that improvement. Version control of code and configuration Automation of Deployment Automation of Testing and Test Data Management "Shifting Left" on Security Loosely Coupled Architectures Pro-active Notification F5 has published Terraform modules on GitHub.com to help customers adopt deployment automation practices, focused on streamlining instantiation of BIG-IPs on AWS, Azure, and Google. Using these modules allows F5 customers to leverage their embedded knowledge and expertise. But we have limited access to public resources Not all customer Terraform automation hosts running the CLI or enterprise products are able to access public internet resources like GitHub.com and the Terraform Registry. The following steps describe how to create and maintain a private air-gapped copy of F5's modules for these secured customer environments. Creating your air-gapped copy of the modules you need This example uses a personal GitHub account as an analog for air-gapped targets. So, we can't use the fork feature of github.com to create the copy. For this approach, we're assuming a workstation that has access to both the source repository host and the target repository host. So, not truly fully air-gapped. We'll show a workflow using git bundle in the future. Retrieve remote URL for one of the modules at F5's devcentral GitHub account Export the remote URL for the source repository export MODULEGITHUBURL="git@github.com:f5devcentral/terraform-aws-bigip-module.git" Create a repository on target air-gapped host Follow the appropriate directions for the air-gapped hosted Git (BitBucket, GitLab, GitHub Enterprise, etc.). And, retrieve the remote url for this repository. Export the remote URL for the air-gapped repository Note: The air-gapped repository is still empty at this point. Note: The example is using github.com, your real-world use will be using your internal git host export MODULEAIRGAPURL="git@github.com:myteamsaccount/localmodulerepo.git" Clone the module source repository This example uses F5's module for Azure git clone $MODULEGITHUBURL Add the target repository as an additional remote Again, we're using F5's AWS module as an example. We're using the remote url exported as MODULEAIRGAPURL to create the additional git repository remote. cd terraform-aws-bigip-module git remote add airgap $MODULEAIRGAPURL Pass the latest to the air-gapped repository Note: In the example below we're pushing the main branch. In some older repositories, the primary repository branch may still be named master . Note: Pushing the tags into the airgap repository is critical to version management of the modules. # get the latest from the origin repository git fetch origin # push any changes to the airgap repository git push airgap main # push all repository tags to the airgap repository git push --tags airgap Using your air-gapped copy of the modules Identify the module version to use This lists all of the tags available in the repository. git tag e.g. 0.9.2 v0.9 v0.9.1 v0.9.3 v0.9.4 v0.9.5 Review new versions for environment acceptance At this point, your organization should perform any acceptance testing of the new tags prior to using them in production environments. Source reference in Terraform module using git Unlike using the Terraform Registry, when using git as your module resource the version reference is included in the source URL. The source reference is the prefix git:: followed by the remote URL of the airgap repository, followed by ?ref= , finally followed by the tag identified in the previous step. Note: We are referencing the airgap repository, NOT the origin repository. Note: It is highly recommended to include the version reference in the URL. If the reference is not included in the URL, the latest commit to the default branch will be used at apply time. This means that the results of an apply will be non-deterministic, causing unexpected results, possibly service disruptions. module "bigip" { source = "git::https://github.com/myteamsaccount/localmodulerepo.git?ref=v0.9.3" ... } Check out Terraform for more detailed configuration requirements Source reference in Terraform module using a private Terraform registry If you have an instance of Terraform Enterprise it's possible to connect the private git repository created above to the [private module registry(https://www.terraform.io/docs/enterprise/admin/module-sharing.html)] available in Terraform Enterprise. module "bigip" { source = "privateregistry/modulereference" version = "v0.9.3" ... } Maintaining your air-gapped copy of the modules On-going maintenance of private repository Once the repository is established, perform the following actions whenever you want to retrieve the latest versions of the F5 modules. If you have a registry enabled on Terraform Enterprise, it should update automatically when the private repository is updated. # get the latest from the origin repository git fetch origin # push any changes to the airgap repository git push airgap main # push all repository tags to the airgap repository git push --tags airgap Review new versions for environment acceptance When your private repository is updated, do not forget to perform any acceptance testing you need to validate compliance and compatibility with your environment's expectations. Other references Installing and running iControl extensions in isolated GCP VPCs Deploy BIG-IP on GCP with GDM without Internet accessZero-touch configuration of secure apps across BIG-IP tenants using CTS
Deploying application workloads by developers or scaling operations traditionally involves submitting tickets, the network team assigning IP addresses, and the security team configuring policies. This siloed approach is time and resource intensive. Today, there are tools and automation to simplify processes and help developers become more independent to deploy and scale applications securely. In today's blog, we will talk about how we can deploy secure applications with an Advanced Web Application Firewall (AWAF) Policy on a F5 BIG-IP using automation. We will also look at a scenario where an existing application can be scaled up or scaled down, without any manual interventions. First, let us look at the tools involved. What are the Tools used? We will be using F5 Application Services Templates (FAST) to deploy application objects and AWAF policy on the BIG-IP. For more details about FAST, refer to https://clouddocs.f5.com/products/extensions/f5-appsvcs-extension/latest/We will also be using HashiCorp Consul Terraform Sync, Consul HCP, and Terraform Cloud to automate our application management workflows. How does the solution work? We will use Consul Terraform Sync (CTS) to define the tasks. The tasks in CTS refer to the BIG-IP-Terraform module that has the FAST terraform resource. This is used to push the necessary configurations object whenever services are added or removed on a BIG-IP. The back end application nodes are running the consul agent and are registered to HCP Consul. CTS continuously monitors the HCP Consul catalog for changes. Let's talk about the CTS file, below is an example CTS file which you can customize and use it. # Consul Block consul { address = "localhost:8500" service_registration { enabled = true service_name = "CTS Event AS3 WAF" default_check { enabled = true address = "http://localhost:8558" } } token = "${consul_acl_token}" } # Driver block driver "terraform-cloud" { hostname = "https://app.terraform.io" organization = "SCStest" token = "<token>" required_providers { bigip = { source = "F5Networks/bigip" } } } terraform_provider "bigip" { address = "5.2.2.29:8443" username = "admin" password = "s8!" } task { name = "AS3-tenent_AppA" description = "BIG-IP example" source = "scshitole/consul-sync-multi-tenant/bigip" providers = ["bigip"] services = ["appA"] variable_files = ["tenantA_AppA.tfvars"] } task { name = "AS3-tenent_AppB" description = "BIG-IP example" source = "scshitole/consul-sync-multi-tenant/bigip" providers = ["bigip"] services = ["appB"] variable_files = ["tenantB_AppB.tfvars"] } Consul Block contains Consul agent address with the port, health check and HCP Consul token information. Driver block consists of terraform cloud details like org name, HCP terraform token and BIG-IP provider. You can also pass the address, username & password for BIG-IP provider using env variables. You can see we have a ‘task’ block in the configuration, this block defines what will be configured on the BIG-IP whenever a service is registered to the HCP Consul Catalog. In the above example, we have service or app ‘AppA’ so whenever CTS sees that service on the HCP Consul catalog it will push the configuration on BIG-IP using the terraform module provided in the source in the task block. The source in the task block uses terraform module registered at https://registry.terraform.io/modules/scshitole/consul-sync-multi-tenant/bigip/latest and the repository is at https://registry.terraform.io/modules/scshitole/consul-sync-multi-tenant/bigip/latest The terraform module uploads the FAST template file into the BIG-IP along with the virtual server and pool configuration. It also attaches the AWAF policy to the virtual server. Enables BIG-IP to do service discovery forService Events on HCP Consul Creates a new example API endpoint like /mgmt/shared/service-discovery/task/~Consul_SD~Nginx~nginx_pool Which can be used to configure the pool member using the terraform resource "bigip_event_service_discovery” to add or remove the pool members Below is the example Fast template YAML title: Consul Service Discovery description: This template will create a virtual server that will use event driven service discovery definitions: tenant: title: Name of tenant description: give a unique name for this tenant app: title: Application description: give a unique name for this application defpool: title: pool defination description: should follow format poolname_pool only virtualAddress: title: Virtual Address description: IP addresses of virtual addresses (will create 80/443) virtualPort: title: Virtual Port description: Port that will be used type: integer parameters: virtualAddress: 10.0.0.200 virtualPort: 8080 tenant: "Consul_SD" app: "Nginx" defpool: "nginx_pool" template: | { "class": "AS3", "action": "deploy", "persist": true, "declaration": { "class": "ADC", "schemaVersion": "3.0.0", "id": "urn:uuid:940bdb69-9bcd-4c5c-9a34-62777210b581", "label": "Consul Webinar", "remark": "Consul Webinar", "{{tenant}}": { "class": "Tenant", "{{app}}": { "class": "Application", "{{app}}_vs": { "class": "Service_HTTP", "virtualPort": {{virtualPort}}, "virtualAddresses": [ "{{virtualAddress}}" ], "pool": "{{defpool}}", "policyWAF": { "use": "Arcadia_WAF_API_policy" }, "persistenceMethods": [], "profileMultiplex": { "bigip": "/Common/oneconnect" } }, "Arcadia_WAF_API_policy": { "class": "WAF_Policy", "url": "https://gist.githubusercontent.com/scshitole/7b7cdcfbd48797d90769ae587324cc9b/raw/6f7a9be072230685956f84652312b3c7e153c6cf/WAFpolicy.json", "ignoreChanges": true }, "{{defpool}}": { "class": "Pool", "monitors": [ "http" ], "members": [{ "servicePort": 80, "addressDiscovery": "event" }] } } } } } and here is the module main.tf file terraform { required_providers { bigip = { source = "f5networks/bigip" version = "~> 1.15.0" } } } locals { tenant_params = jsonencode({ "tenant": var.tenant, "app": var.app, "virtualAddress": var.virtualAddress, "defpool": var.defpool, "virtualPort": var.virtualPort }) } # generate zip file data "archive_file" "template_zip" { type = "zip" source_file = "${path.module}/template/ConsulWebinar.yaml" output_path = "${path.module}/template/ConsulWebinar.zip" } # deploy fast template resource "bigip_fast_template" "consul-webinar" { name = "ConsulWebinar" source = "${path.module}/template/ConsulWebinar.zip" md5_hash = filemd5("${path.module}/template/ConsulWebinar.zip") depends_on = [data.archive_file.template_zip] } resource "bigip_fast_application" "nginx-webserver" { template = "ConsulWebinar/ConsulWebinar" fast_json = local.tenant_params depends_on = [bigip_fast_template.consul-webinar] } locals { # Create a map of service names to instance IDs service_ids = transpose({ for id, s in var.services : id => [s.name] }) # Group service instances by name grouped = { for name, ids in local.service_ids : name => [ for id in ids : var.services[id] ] } } resource "bigip_event_service_discovery" "event_pools" { for_each = local.service_ids taskid = "~${var.tenant}~${var.app}~${each.key}_pool" dynamic "node" { for_each = local.grouped[each.key] content { id = node.value.node_address ip = node.value.node_address port = node.value.port } } depends_on = [bigip_fast_application.nginx-webserver] } Configuring Multi-tenancy You can configure multiple tenants with the AWAF policy on the virtual server for each tenant by just updating the f5nia.hcl file with additional tasks and defining new app.tfvars file for each of the tasks. The app.tfvars file will define parameters like the name for the tenant on BIG-IP, application name, Virtual Server IP, Pool name, and BIG-IP credentials. You can configure multiple tenants with AWAF policy attached to the Virtual server by defining a new task in the Consul terraform Sync file. tenant="tenant_AppB" app="AppB" virtualAddress="10.0.0.202" virtualPort=8080 defpool="appB_pool" address="5.7.14.4" username="admin" password="PxxxxayJ" port=8443 “tenant” is the name of the partition on BIG-IP where the application objects are residing “app” name of the application which is running “virtualAddress” is the virtual server address “defpool” is the name of the Pool, it must follow app name and “_pool” address, username, password, and port to access BIG-IP You can also customize the AWAF policy as per your needs and package it into the FAST Yamal template, the example AWAF policy is shown below { "policy": { "name": "policy-api-arcadia", "description": "Arcadia API", "template": { "name": "POLICY_TEMPLATE_API_SECURITY" }, "enforcementMode": "blocking", "server-technologies": [ { "serverTechnologyName": "MySQL" }, { "serverTechnologyName": "Unix/Linux" }, { "serverTechnologyName": "MongoDB" } ], "signature-settings": { "signatureStaging": false }, "policy-builder": { "learnOnlyFromNonBotTraffic": false } } } How to use the repository? Git clone https://github.com/f5businessdevelopment/f5_hcp_consul.git Change dir to cd f5_hcp_consul Copy terraform.tfvars.example to terraform.tfvars and customize as per your setup Issue terraform plan & apply F5 BIG-IP, backend applications AppA, AppB as well as jump instance is created on AWS You can see the services on HCP Consul Update BIG-IP with latest AS3 app services rpm, Fast template and enable ASM ssh to the jump box and change dir to “cts” also issue sudo su Update the *.tfvars file and f5nia.hcl as per your setup Start the CTS service by issuing “consul-terraform-sync config-file=f5nia.hcl” The above step will upload the FAST template and configure BIG-IP for Service discovery events and monitor HCP Consul for the Apps. The assumption is you are using HCP Consul, Terraform Cloud, and Enterprise Consul Terraform Sync Detail video is available athttps://youtu.be/11ssWNyVjF0. You can find additonal integrations of F5 BIG-IP and HashiCorp Tools at this link Conclusion: In dynamic, multi-tenant application environments, change management can become cumbersome and error prone. FAST templates on the BIG-IP provide a fantastic way to abstract configuration objects and enable simpler automation – which can help ops teams and developers to cut down application deployment times. Using FAST with service discovery and automation, can facilitate zero-touch configuration management for your applications workloads.Pushing Updates to BIG-IP w/ HashiCorp Consul Terraform Sync
HashiCorp Consul Terraform Sync (CTS) is a tool/daemon that allows you to push updates to your BIG-IP devices in near real-time (this is also referred to as Network Infrastructure Automation).This helps in scenarios where you want to preserve an existing set of network/security policies and deliver updates to application services faster. Consul Terraform Sync Consul is a service registry that keeps track of where a service is (10.1.20.10:80 and 10.1.20.11:80) and the health of the service (responding to HTTP requests).Terraform allows you to push updates to your infrastructure, but usually in a one and done fashion (fire and forget).NIA is a symbiotic relationship of Terraform and Consul.It allows you to track changes via Consul (new node added/removed from a service) and push the change to your infrastructure via Terraform. Putting CTS in Action We can use CTS to help solve a common problem of how to enable a network/security team to allow an application team to dynamically update the pool members for their application.This will be accomplished by defining a virtual server on the BIG-IP and then enabling the application team to update the state of the pool members (but not allow them to modify the virtual server itself). Defining the Virtual Server The first step is that we want to define what services we want.In this example we use a FAST template to generate an AS3 declaration that will generate a set of Event-Driven Service Discovery pools.The Event-Driven pools will be updated by NIA and we will apply an iControl REST RBAC policy to restrict updates. The FAST template takes the inputs of “tenant”, “virtual server IP”, and “services”. This generates a Virtual Server with 3 pools. Event-Driven Service Discovery Each of the pools is created using Event-Driven Service Discovery that creates a new API endpoint with a path of: /mgmt/shared/service-discovery/task/ ~[tenant]~EventDrivenApps~[service]_pool/nodes You can send a POST API call these to add/remove pool members (it handles creation/deletion of nodes).The format of the API call is an array of node objects: [{“id”:”[identifier]”,”ip”:”[ip address]”,”port”:[port (optional)]}] We can use iControl REST RBAC to limit access to a user to only allow updates via the Event-Driven API. Creating a CTS Task NIA can make use of existing Terraform providers including the F5 BIG-IP Provider.We create our own module that makes use of the Event-Driven API ... resource "bigip_event_service_discovery" "pools" { for_each = local.service_ids taskid = "~EventDriven~EventDrivenApps~${each.key}_pool" dynamic "node" { for_each = local.groups[each.key] content { id = node.value.node ip = node.value.node_address port = node.value.port } } } ... Once NIA is run we can see it updating the BIG-IP - Finding f5networks/bigip versions matching "~> 1.5.0"... ... module.AS3.bigip_event_service_discovery.pools["app003"]: Creating... … module.AS3.bigip_event_service_discovery.pools["app002"]: Creation complete after 0s [id=~EventDriven~EventDrivenApps~app002_pool] Apply complete! Resources: 3 added, 0 changed, 0 destroyed. Scaling up the environment to go from 3 pool members to 10 you can see NIA pick-up the changes and apply them to the BIG-IP in near real-time. module.AS3.bigip_event_service_discovery.pools["app001"]: Refreshing state... [id=~EventDriven~EventDrivenApps~app001_pool] … module.AS3.bigip_event_service_discovery.pools["app002"]: Modifying... [id=~EventDriven~EventDrivenApps~app002_pool] … module.AS3.bigip_event_service_discovery.pools["app002"]: Modifications complete after 0s [id=~EventDriven~EventDrivenApps~app002_pool] Apply complete! Resources: 0 added, 3 changed, 0 destroyed. NIA can be run interactively at the command-line, but you can also run it as a system service (i.e. under systemd). Alternate Method In the previous example you saw an example of using AS3 to define the Virtual Server resource.You can also opt to use Event-Driven API directly on an existing BIG-IP pool (just be warned that it will obliterate any existing pool members once you send an update via the Event-Driven nodes API).To create a new Event-Driven pool you would send a POST call with the following payload to /mgmt/shared/service-discovery/task { "id": "test_pool", "schemaVersion": "1.0.0", "provider": "event", "resources": [ { "type": "pool", "path": "/Common/test_pool", "options": { "servicePort": 8080 } } ], "nodePrefix": "/Common/" } You would then be able to access it with the id of “test_pool”.To remove it from Event-Driven Service Discovery you would send a DELETE call to /mgmt/shared/service-discovery/task/test_pool Separation of Concerns In this example you saw how CTS could be used to separate network, security, and application tasks, but these could be easily combined using NIA just as easily.Consul Terraform Sync is now generally available, and I look forward to seeing how you can leverage it.For an example that is similar to this article you can take a look at the following GitHub repo that has an example of using NIA.You can also view another example on the Terraform registry as well.Cloud Scaling without Native Cloud Scaling
Planning and configuring scaling for a multi cloud-hosted application is not without its challenges and limitations.When I consider the unique approach each public cloud (AWS, Azure, GCP, etc.) has when it comes to scaling of VM instances, applying a consistent scaling policy across the application environment can be difficult. The difficulty level goes up even more when you want to automate your deployment. Aside from the inherent challenge of working with disparate cloud environments, my options with regard to scaling policies and the metrics used to trigger scaling events are limited when attempting to apply consistently across clouds. With the F5 BIG-IP and Telemetry Streaming I have the ability to send a variety of metrics to both CloudWatch and Azure Monitor. From there I could use custom metrics from each respective cloud. But now, I've only succeeded in complicating the solution, (as well as spraying logs all over the place). To address the challenges noted above allow me to introduce... The ADC Telemetry-based Autoscaling (ATA) solution, (see above) illustrates how F5's Automation Toolchain can integrate with third party analytics provider(s) to provide cloud-agnostic centralized application delivery monitoring and autoscaling. The solution utilizes various third-party open-source and proprietary technologies/services and the concept could easily be applied using a variety of vendor offerings. With that said, this solution utilizes the following: F5 BIG-IP(s) providing L4/L7 ADC Services F5 Declarative Onboarding, (DO) and Application Services 3 Extension, (AS3) to deploy to configure BIG-IP application services F5 Telemetry Streaming, (TS) to stream telemetry data to a third party analytics provider Hashicorp Terraform and Consul for infrastructure provisioning, service discovery and event logging GitHub Actions for workflow automation Azure and/or AWS public clouds for application hosting Third-party Analytics Provider, (integrated with BIG-IP(s) via TS) for monitoring and alerting Check it Out Rather than walk you through the entire solution in agonizing detail, how about a movie? Click on the link (image) below for a solution walkthrough. Try it Out Okay, so you watched the video and can't wait to try it in action; I get it. The GitHub solution repository contains guidance as well as the necessary files to deploy the solution. Have fun!
Ready to Go! Deploying F5 Infrastructure Using Terraform
This article describes how using Terraform enables you to rapidly deploy F5 infrastructure. Having something that is "ready to go" is what building infrastructure with Terraform is all about! The article also describes how you can customize your Terraform code to meet your particular needs. Once you have your specific design pattern, you have an automated way of rapidly creating, modifying, or destroying the network/application infrastructure over and over again in minutes, rather than hours or days. My Chosen Environment I will be using: Google Cloud Platform Terraform Github for source control VS Code for Editing Terraform There are also templates in the same repository that will work just as easily in AWS and Azure. What Is Terraform? Terraform is a tool that is produced by Hashicorp. Terraformis a solution for building, changing, and versioning infrastructure safely and efficiently.Terraformcan manage existing and popular service providers as well as custom in-house solutions. Configuration files describe toTerraformthe components needed to run a single application or your entire datacenter. How Can You Deploy F5 Using Terraform? There are many articles about how to install Terraform. This article assumes you have already installed Terraform and are ready to start deploying F5 infrastructure. In this article we will show you how easy it is to: Deploy an Example F5 Terraform Template Modify the Vanilla Terraform Template to Add a Jump-Box Why Would You Want to Modify the Generic Template to Add a Jump-Box? Well, don’t put your management interface on the internet. That is not a good idea. The Terraform example that I will use sets the management interface up with direct access to the internet. There are ACLs that you can configure to only allow connections from specific source IP addresses, which you should definitely employ even if you don’t use a jump-box. An additional layer of security is to add a jump-box so that you have to connect to the jump-box prior to accessing the management interface. From there you could also go ahead and smart card enable your jump-box or provide other two-factor authentication in order to further increase the security of the environment. Using a jump-box is a good best practice, period. For example, CVE-2020-5902 is a critical vulnerability that allowed attackers to actively exploit F5 management interfaces to do things like install coin-miners and malware or to gain administrative access to the hacked device. If your management interface had been internet facing, then it is safe to assume that you would have been breached. Also there were reports from the FBI that state-sponsored organizations were also trying to exploit this flaw. https://www.securityweek.com/iranian-hackers-target-critical-vulnerability-f5s-big-ip By using a jump-box you would not be placing your F5 management interfaces directly on the internet; you would have to access the F5 management interfaces via an RDP connection. Note that you should also harden your jump-box and implement ACLs and two-factor authentication in order to improve the security of the jump-box itself, as it presents a means of access. In this article we build the jump-box, but further hardening (which could also be implemented in Terraform) should be a best practice to make access to your management infrastructure more secure. Deploy a Terraform Example That Deploys F5 Infrastructure 1)Fork template In this example, my starting point is to fork templates published by a fellow F5er Jeff Giroux. This way I can keep my own copy and also make changes as appropriate for my environment. 2) Use git pull to make a local copy of the Terraform code. git clone https://github.com/dudesweet/f5_terraform.git This will pull a local copy of the template using the "git" command that will pull your forked version from github. 3) Explore the code with VS code. I am using VS code as my local editor. You can see that the template has directories for Azure, AWS, and GCP, and has different implementations of high availability; plus there are also auto-scale use cases. Your design pattern of choice will depend upon your requirements. In my case I am going to choose HA via load balancing. 4) Build your network infrastructure, as per the readme. This solution uses a Terraform template to launch a new networking stack. It will create three VPC networks with one subnet each: mgmt, external, internal. Use this terraform template to create your Google VPC infrastructure, and then head back to the [BIG-IP GCP Terraform folder](../) to get started! So navigate to the below directory. ~/f5_terraform/GCP/Infrastructure-only And you are going to want to customize the terraform.tfvars.example file and then re-name that file to terraform.tfvars So fill this out according to you specific environment. These are self explanatory, but: The prefix is used to prefix the infrastructure naming. adminsrcAddr - this is is your friend. This is how you restrict management access from the internet. gcp_project_id - this is your Google project Identifier. Region - your region where you would like the infrastructure to be built. Zone - your zone where you would like the infrastructure to be built. # Google Environment prefix = "mydemo123" adminSrcAddr = "0.0.0.0/0" gcp_project_id = "xxxxx" gcp_region = "us-west1" gcp_zone = "us-west1-b" Also, in the variables.tf you can customize the subnets to your own requirements, but in this case you need three VPCs with subnets (this is GCP so we have one 3 VPCs and a Subnet Per VPC). And then build out the network infrastructure. In the infrastructure directory: ~/f5_terraform/GCP/Infrastructure-only Run the following command: terraform plan "terraform plan" will show you the changes that are going to be made. And then run the command: terraform apply "terraform apply" will build the network infrastructure. "terraform apply" will prompt you with a yes/no to confirm if you want to go ahead and make the changes. Once you have built out your network infrastructure, you should be able to see the infrastructure that you have created inside of Google. Once you have built your networks and firewall rules etc., you can go ahead and build out your F5 infrastructure. 6) Build your F5 infrastructure. As mentioned before, the Terraform template that we are using allows access to the management interfaces from the internet - and you can limit access to the management interface via source IP. In my case, I want to add an additional layer of security by adding a jump-box. So I need to add a separate file with a few lines of Terraform code to instantiate the jump-box in the following directory: ~/f5_terraform/GCP/HA_via_lb After creating a file called jumpbox.tf, in my case I then added the following code to create a jump-box instance and associate it with the management subnet. #creates an ipV4 address to associate with the interface resource "google_compute_address" "static" { name = "ipv4-address" } #Define the type of instance tht you want. I am choosing a windows server. resource "google_compute_instance" "jumphost" { count = 1 name = "myjumphost1" project = var.gcp_project_id machine_type = "n1-standard-8" zone = var.gcp_zone allow_stopping_for_update = true boot_disk { initialize_params { image = "windows-server-2016-dc-v20200714" } } #Define the network interface and then associate the IP with the network interface. network_interface { network = "${var.prefix}-net-mgmt" subnetwork = "${var.prefix}-subnet-mgmt" subnetwork_project = var.gcp_project_id network_ip = var.jumphost_private_ip access_config { nat_ip = google_compute_address.static.address } } #Service account and permissions (how much access the service account has to the Google Meta data service). service_account { scopes = ["cloud-platform", "compute-rw", "storage-ro", "service-management", "service-control", "logging-write", "monitoring"] } } Then I will need to modify the terraform.tfvars.example file to suit my environment, and re-name to terraform.tfvars. # BIG-IP Environment uname= "admin" usecret= "my-secret" gceSshPubKey = "ssh-rsa xxxxx" prefix= "mydemo123" adminSrcAddr = "0.0.0.0/0" mgmtVpc= "xxxxx-net-mgmt" extVpc= "xxxxx-net-ext" intVpc= "xxxxx-net-int" mgmtSubnet= "xxxxx-subnet-mgmt" extSubnet= "xxxxx-subnet-ext" intSubnet= "xxxxx-subnet-int" dns_suffix= "example.com" # BIG-IQ Environment bigIqUsername = "admin" # Google Environment gcp_project_id = "xxxxx" gcp_region= "us-west1" gcp_zone= "us-west1-b" svc_acct= "xxxxx@xxxxx.iam.gserviceaccount.com" privateKeyId= "abcdcba123321" ksecret= "svc-acct-secret" I also added a line into the file called outputs.tf. output "JumpBoxIP" { value = google_compute_instance.jumphost.0.network_interface.0.access_config.0.nat_ip} This line will print out the jump-box IP address that I will use to RDP to the jump-box after a "terraform apply". Note that these templates rely upon the use of Google's secret manager in order to store the admin password. You will need to create a secret that by default is called "my-secret" (but you can call it anything you want), and this is where the Terraform code will pull the admin password from. Using a vault or a secrets manager to store sensitive values for reference in code is a good security best practice as you are only referencing the secrets vault in code and not the literal values themselves. And then build out the f5 infrastructure that will use the network infrastructure that you created earlier. In the HA_via_lb directory: ~/f5_terraform/GCP/HA_via_lb Run the following command: terraform plan "terraform plan" will show you the changes that are going to be made. And then: terraform apply "terraform apply" will add the F5 infrastructure and the jump-boxes. "terraform apply" will prompt you with a yes/no to confirm that you want to go ahead and make the changes. Remove Access to Port 443 on the Management Plane Because this Terraform template uses F5 declarative on boarding (DO) and AS3 to Place the BIG-IPs in an active standby pair and Create an example application on the BIG-IP... ...the example declarations in the Terraform rely on access to the management interface on port 443 as they POST the declarations to the BIG-IP in order to create the configuration. In your case this may present a too much of a risk, but if you use the source IP-based filtering mechanism properly and you use a very strong admin password for the management interface, then you can mitigate this risk for the brief period of time that the management interface would be exposed on the internet for Infrastructure Creation. Again, I deny port 443 after creating the infrastructure. If you can’t do this, you could build a jump-box first and then run the Terraform code from the jump-box. That being said, in my case I go back into the "Infrastructure Only" section and remove port 443 under allowed ports. You can simply edit the networks.tf file in the "Infrastructure Only" directory and re-run the template again. This is the stanza for the firewall rules on the management VPC: resource "google_compute_firewall" "mgmt" { name = "${var.prefix}-allow-mgmt" network = google_compute_network.vpc_mgmt.name source_ranges = [var.adminSrcAddr] allow { protocol = "icmp" } allow { protocol = "tcp" #remove access to port 443 here an re-apply ports = ["22","3389"] } } When you run this "terraform apply" again you will note that changes will only be made to the infrastructure that are modified. Terraform maintains state. It keeps a copy of what has been deployed and therefore will only make a change to the objects that require changes. Ready to Go! When this is all done, you will have a pair of BIG-IPs clustered in (Active/Standby) in Google GCP configured with three NICS. One for management, one for the "external" traffic interface, and one for the "internal" traffic interface. Traffic will ingress from from the Google Load Balancer to the BIG-IP VE, which will the process traffic to the applications that would reside on the "Internal" traffic side. There is now a jump-box that will be used to access the management interfaces to make changes to the BIG-IP configuration. You could also place further DevOps infrastructure on the jump-box in order to automate your application delivery configuration. From here you should be able to: Navigate to your jump-box. In my case, I set a strong password on the jump-box from the Google console. No doubt this could also be automated in the Terraform. Access your Infrastructure via the jump-box. You will be able to access the management IP on the internal IP address on NIC1. You can view a video based overview below. Links and References https://www.youtube.com/watch?v=o5b2OvN9ReM https://github.com/JeffGiroux/f5_terraform https://clouddocs.f5.com/products/extensions/f5-appsvcs-extension/latest/ https://clouddocs.f5.com/products/extensions/f5-declarative-onboarding/latest/ https://clouddocs.f5.com/products/orchestration/terraform/latest/ https://www.terraform.io/
