Deploying F5 Distributed Cloud Customer Edge in Red Hat OpenShift Virtualization
Introduction Red Hat OpenShift Virtualization is a feature that brings virtual machine (VM) workloads into the Kubernetes platform, allowing them to run alongside containerized applications in a seamless, unified environment. Built on the open-source KubeVirt project, OpenShift Virtualization enables organizations to manage VMs using the same tools and workflows they use for containers. Why OpenShift Virtualization? Organizations today face critical needs such as: Rapid Migration: "I want to migrate ASAP" from traditional virtualization platforms to more modern solutions. Infrastructure Modernization: Transitioning legacy VM environments to leverage the benefits of hybrid and cloud-native architectures. Unified Management: Running VMs alongside containerized applications to simplify operations and enhance resource utilization. OpenShift Virtualization addresses these challenges by consolidating legacy and cloud-native workloads onto a single platform. This consolidation simplifies management, enhances operational efficiency, and facilitates infrastructure modernization without disrupting existing services. Integrating F5 Distributed Cloud Customer Edge (XC CE) into OpenShift Virtualization further enhances this environment by providing advanced networking and security capabilities. This combination offers several benefits: Multi-Tenancy: Deploy multiple CE VMs, each dedicated to a specific tenant, enabling isolation and customization for different teams or departments within a secure, multi-tenant environment. Load Balancing: Efficiently manage and distribute application traffic to optimize performance and resource utilization. Enhanced Security: Implement advanced threat protection at the edge to strengthen your security posture against emerging threats. Microservices Management: Seamlessly integrate and manage microservices, enhancing agility and scalability. This guide provides a step-by-step approach to deploying XC CE within OpenShift Virtualization, detailing the technical considerations and configurations required. Technical Overview Deploying XC CE within OpenShift Virtualization involves several key technical steps: Preparation Cluster Setup: Ensure an operational OpenShift cluster with OpenShift Virtualization installed. Access Rights: Confirm administrative permissions to configure compute and network settings. F5 XC Account: Obtain access to generate node tokens and download the XC CE images. Resource Optimization: Enable CPU Manager: Configure the CPU Manager to allocate CPU resources effectively. Configure Topology Manager: Set the policy to single-numa-node for optimal NUMA performance. Network Configuration: Open vSwitch (OVS) Bridges: Set up OVS bridges on worker nodes to handle networking for the virtual machines. NetworkAttachmentDefinitions (NADs): Use Multus CNI to define how virtual machines attach to multiple networks, supporting both external and internal connectivity. Image Preparation: Obtain XC CE Image: Download the XC CE image in qcow2 format suitable for KubeVirt. Generate Node Token: Create a one-time node token from the F5 Distributed Cloud Console for node registration. User Data Configuration: Prepare cloud-init user data with the node token and network settings to automate the VM initialization process. Deployment: Create DataVolumes: Import the XC CE image into the cluster using the Containerized Data Importer (CDI). Deploy VirtualMachine Resources: Apply manifests to deploy XC CE instances in OpenShift. Network Configuration Setting up the network involves creating Open vSwitch (OVS) bridges and defining NetworkAttachmentDefinitions (NADs) to enable multiple network interfaces for the virtual machines. Open vSwitch (OVS) Bridges Create a NodeNetworkConfigurationPolicy to define OVS bridges on all worker nodes: apiVersion: nmstate.io/v1 kind: NodeNetworkConfigurationPolicy metadata: name: ovs-vms spec: nodeSelector: node-role.kubernetes.io/worker: '' desiredState: interfaces: - name: ovs-vms type: ovs-bridge state: up bridge: allow-extra-patch-ports: true options: stp: true port: - name: eno1 ovn: bridge-mappings: - localnet: ce2-slo bridge: ovs-vms state: present Replace eno1 with the appropriate physical network interface on your nodes. This policy sets up an OVS bridge named ovs-vms connected to the physical interface. NetworkAttachmentDefinitions (NADs) Define NADs using Multus CNI to attach networks to the virtual machines. External Network (ce2-slo): External Network (ce2-slo): Connects VMs to the physical network with a specific VLAN ID. This setup allows the VMs to communicate with external systems, services, or networks, which is essential for applications that require access to resources outside the cluster or need to expose services to external users. apiVersion: k8s.cni.cncf.io/v1 kind: NetworkAttachmentDefinition metadata: name: ce2-slo namespace: f5-ce spec: config: | { "cniVersion": "0.4.0", "name": "ce2-slo", "type": "ovn-k8s-cni-overlay", "topology": "localnet", "netAttachDefName": "f5-ce/ce2-slo", "mtu": 1500, "vlanID": 3052, "ipam": {} } Internal Network (ce2-sli): Internal Network (ce2-sli): Provides an isolated Layer 2 network for internal communication. By setting the topology to "layer2", this network operates as an internal overlay network that is not directly connected to the physical network infrastructure. The mtu is set to 1400 bytes to accommodate any overhead introduced by encapsulation protocols used in the internal network overlay. apiVersion: k8s.cni.cncf.io/v1 kind: NetworkAttachmentDefinition metadata: name: ce2-sli namespace: f5-ce spec: config: | { "cniVersion": "0.4.0", "name": "ce2-sli", "type": "ovn-k8s-cni-overlay", "topology": "layer2", "netAttachDefName": "f5-ce/ce2-sli", "mtu": 1400, "ipam": {} } VirtualMachine Configuration Configuring the virtual machine involves preparing the image, creating cloud-init user data, and defining the VirtualMachine resource. Image Preparation Obtain XC CE Image: Download the qcow2 image from the F5 Distributed Cloud Console. Generate Node Token: Acquire a one-time node token for node registration. Cloud-Init User Data Create a user-data configuration containing the node token and network settings: #cloud-config write_files: - path: /etc/vpm/user_data content: | token: <your-node-token> slo_ip: <IP>/<prefix> slo_gateway: <Gateway IP> slo_dns: <DNS IP> owner: root permissions: '0644' Replace placeholders with actual network configurations. This file automates the VM's initial setup and registration. VirtualMachine Resource Definition Define the VirtualMachine resource, specifying CPU, memory, disks, network interfaces, and cloud-init configurations. Resources: Allocate sufficient CPU and memory. Disks: Reference the DataVolume containing the XC CE image. Interfaces: Attach NADs for network connectivity. Cloud-Init: Embed the user data for automatic configuration. Conclusion Deploying F5 Distributed Cloud CE in OpenShift Virtualization enables organizations to leverage advanced networking and security features within their existing Kubernetes infrastructure. This integration facilitates a more secure, efficient, and scalable environment for modern applications. For detailed deployment instructions and configuration examples, please refer to the attached PDF guide. Related Articles: BIG-IP VE in Red Hat OpenShift Virtualization VMware to Red Hat OpenShift Virtualization Migration OpenShift Virtualization
feature request: container egress service
After installing cis in a test environment and getting ready to install in a new production environment I wonder if there also will be a container egress service (CES)? It is very easy to set a gateway for selected namespaces with AdminPolicyBasedExternalRoute in Openshift. See, F5 BIG-IP deployment with Red Hat OpenShift - keeping client IP addresses and egress flows | DevCentral The solution above does not scale well if multiple namespace-egress IP address mappings are desired. A nice solution would be a CES that watches the creating and deletion of pods in selected namespaces. Then it can manage address lists with the pods ip addresses in the F5 ltm. Forwarding ip virtual services will use these address lists to match pod ip addresses to an egress ip defined in a snat pool. Also the creation and deletion of forwarding ip virtual servers and address lists could be managed with a "CES". A possible issue is that a container in a pod can start network connections before the forwarding IP virtual server accepts the new pod IP address. But this can easily be solved with adding an initcontainer in the pod that tests the network connectivity. This would be a good alternative for Openshift egress IPs or Istio gateways. Reason to want this, is to offer applications on Openshift an own egress IP address and stop using the node IP address for external network connections of the pods.
Health Monitor unable to connect to OpenShift Router
Hi, We have F5 VS routing traffic to a service behind OpenShift Router ( We are not using F55 CIS ). The OpenShift Route is configured as TLS Passthrough. I want to re-encrypt TLS at F5. In case of TLS Passthrough configuration OpenShift Router determines the route based on TLS Client Hello hostname. So I have OPS Route with host name “my-tls-passthrough-service.com” and I have F5 VS with hostname “my-f5vs.com” and a pool with single member pointing to OPS Router IP and port 443 . I have configured Client and Server SSL profiles. Also, in server SSL profile I have set “Server Name” attribute to “my-tls-passthrough-service.com” . Everything works as expected – the request reaches the service through F5 . The problem I have is when I configure Health Monitor. The generic HTTPS monitor doesn’t help as it checks the status of OPS Router , not the service behind it. But when I add ServerSSL profile to Health check monitor I get pool member marked down and message in local traffic log “Unable to connect “ Can you please help - without health monitor the set up is uselessF5 BIG-IP deployment with Red Hat OpenShift - keeping client IP addresses and egress flows
Controlling the egress traffic in OpenShift allows to use the BIG-IP for several use cases: Keeping the source IP of the ingress clients Providing highly scalable SNAT for egress flows Providing security functionalities for egress flowsGlobal Live Webinar (02/05): Securing Model Serving in Red Hat OpenShift AI with F5API Security
Securing Model Serving in Red Hat OpenShift AI with F5 Distributed Cloud API Security This webinar event is open to all regardless of geographic location. Date: Wednesday, February 5, 2025 Time: 10:00am PT | 1:00pm ET F5 Speaker: Eric Ji. Sr. Solutions Architect, F5 Guest Speaker: E.G. Nadhan Field CTO Ambassador Red Hat What's the webinar about? Join industry experts from Red Hat and F5 in an insightful webinar focused on securely scaling generative AI workloads through the integration of Red Hat OpenShift AI and F5 Distributed Cloud API Security across the open hybrid cloud. Discover how OpenShift AI offers a powerful, scalable MLOps platform for developing, training, and deploying AI models, while F5 Distributed Cloud provides advanced API security to protect your inference endpoints. In this session, we will also delve into how F5's AI Factory approach facilitates the deployment of AI applications across hybrid and multicloud environments, ensuring they are secure, scalable, and reliable. Learn more, register today https://www.f5.com/company/events/webinars/securing-model-serving-in-red-hat-openshift-ai-with-f5-distributed-cloud-api-securitySeamless Application Migration to OpenShift Virtualization with F5 Distributed Cloud
As organizations endeavor to modernize their infrastructure, migrating applications to advanced virtualization platforms like Red Hat OpenShift Virtualization becomes a strategic imperative. However, they often encounter challenges such as minimizing downtime, maintaining seamless connectivity, ensuring consistent security, and reducing operational complexity. Addressing these challenges is crucial for a successful migration. This article explores how F5 Distributed Cloud (F5 XC), in collaboration with Red Hat's Migration Toolkit for Virtualization (MTV), provides a robust solution to facilitate a smooth, secure, and efficient migration to OpenShift Virtualization. The Joint Solution: F5 XC CE and Red Hat MTV Building upon our previous work on deploying F5 Distributed Cloud Customer Edge (XC CE) in Red Hat OpenShift Virtualization, we delve into the next phase of our joint solution with Red Hat. By leveraging F5 XC CE in both VMware and OpenShift environments, alongside Red Hat’s MTV, organizations can achieve a seamless migration of virtual machines (VMs) from VMware NSX to OpenShift Virtualization. This integration not only streamlines the migration process but also ensures continuous application performance and security throughout the transition. Key Components: Red Hat Migration Toolkit for Virtualization (MTV): Facilitates the migration of VMs from VMware NSX to OpenShift Virtualization, an add-on to OpenShift Container Platform F5 Distributed Cloud Customer Edge (XC CE) in VMware: Manages and secures application traffic within the existing VMware NSX environment. F5 XC CE in OpenShift: Ensures consistent load balancing and security in the new OpenShift Virtualization environment. Demonstration Architecture To illustrate the effectiveness of this joint solution, let’s delve into the Demo Architecture employed in our demo: The architecture leverages F5 XC CE in both environments to provide a unified and secure load balancing mechanism. Red Hat MTV acts as the migration engine, seamlessly transferring VMs while F5 XC CE manages traffic distribution to ensure zero downtime and maintain application availability and security. Benefits of the Joint Solution 1. Seamless Migration: Minimal Downtime: The phased migration approach ensures that applications remain available to users throughout the process. IP Preservation: Maintaining the same IP addresses reduces the complexity of network reconfiguration and minimizes potential disruptions. 2. Enhanced Security: Consistent Policies: Security measures such as Web Application Firewalls (WAF), bot detection, and DoS protection are maintained across both environments. Centralized Management: F5 XC CE provides a unified interface for managing security policies, ensuring robust protection during and after migration. 3. Operational Efficiency: Unified Platform: Consolidating legacy and cloud-native workloads onto OpenShift Virtualization simplifies management and enhances operational workflows. Scalability: Leveraging Kubernetes and OpenShift’s orchestration capabilities allows for greater scalability and flexibility in application deployment. 4. Improved User Experience: Continuous Availability: Users experience uninterrupted access to applications, unaware of the backend migration activities. Performance Optimization: Intelligent load balancing ensures optimal application performance by efficiently distributing traffic across environments. Watch the Demo Video To see this joint solution in action, watch our detailed demo video on the F5 DevCentral YouTube channel. The video walks you through the migration process, showcasing how F5 XC CE and Red Hat MTV work together to facilitate a smooth and secure transition from VMware NSX to OpenShift Virtualization. Conclusion Migrating virtual machines (VMs) from VMware NSX to OpenShift Virtualization is a significant step towards modernizing your infrastructure. With the combined capabilities of F5 Distributed Cloud Customer Edge and Red Hat’s Migration Toolkit for Virtualization, organizations can achieve this migration with confidence, ensuring minimal disruption, enhanced security, and improved operational efficiency. Related Articles: Deploying F5 Distributed Cloud Customer Edge in Red Hat OpenShift Virtualization BIG-IP VE in Red Hat OpenShift Virtualization VMware to Red Hat OpenShift Virtualization Migration OpenShift VirtualizationBIG-IP deployment options with Openshift
NOTE: this article has been superseded by these updated articles: F5 BIG-IP deployment with OpenShift - platform and networking options F5 BIG-IP deployment with OpenShift - publishing application options NOTE: outdated content next This article is meant to be an agnostic overview of the possibilities on how to use BIG-IP with RedHat Openshift: either onprem or in the cloud, either in 1-tier or in 2-tier arrangements, possibly alongside NGINX+. This blog is structured as follows: Introduction BIG-IP platform flexibility: deployment, scalability and multi-tenancy options Openshift networking options BIG-IP networking options 1-tier arrangement 2-tier arrangement Publishing the applications: BIG-IP CIS Kubernetes resource types Service type Load Balancer Ingress and Route resources, the extensibility problem. Full flexibility & advanced services with AS3 Configmaps. F5 Custom Resource Definitions (CRDs). Installing Container Ingress Services (CIS) for Openshift & BIG-IP integration Conclusion Introduction When using BIG-IP with RedHat Openshift Kubernetes a container component named Container Ingress Services (CIS from now on) is used to plug the BIG-IP APIs with the Kubernetes APIs. When a user configuration is applied or when a status change has occurred in the cluster then CIS automatically updates the configuration in the BIG-IP using the AS3 declarative API. CIS supports IP Address Management (IPAM from now on) by making use of F5 IPAM Controller (FIC from now on), which is deployed as container as well. The FIC IPAM controller can have it's own address database or be connected to an external provider such as Infoblox. It can be seen how these components fit together in the next picture. A single BIG-IP cluster can manage both VM and container workloads in the same cluster and separation between these can be set at administrative level with partitions and at network level with routing domains if required. BIG-IP offers a wide range of options to be used with RedHat Openshift. Often these have been driven by customer's requests. In the next sections we cover these options and the considerations to be taken into account to choose between them. The full documentation can be found in F5 clouddocs. F5 BIG-IP container integrations are Open Source Software (OSS) and can be found in this github repository where you wlll be find additional technical details. Please comment below if you have any question about this article. BIG-IP platform flexibility: deployment, scalability and multi-tenancy options First of all, it is needed to clarify that regardless of the deployment option chosen, this is independent of the BIG-IP being an appliance, a scale-out chassis or a Virtual Edition. The configuration is always the same. This platform flexibility also opens the possibilities of using different options of scalability, multi-tenancy, hardware accelerators or HSMs/NetHSMs/SaaS-HSMs to keep secure the SSL/TLS private keys in a FIPS compliant manner. The following options apply to a single BIG-IP cluster: A single BIG-IP cluster can handle several Openshift clusters. This requires at least a CIS instance per Openshift cluster instance. It is also possible that a given CIS instance manages a selected set of namespaces. These namespaces can be specified with a list or a label selector. In the BIG-IP each CIS instance will typically write in a dedicated partition, isolated from other CIS instances. When using AS3 ConfigMaps a single CIS can manage several BIG-IP partitions. As indicated in picture, a single BIG-IP cluster can scale-up horizontally with up to 8 BIG-IP instances, this is referred as Scale-N in BIG-IP documentation. When hard tenant isolation is required, then using a single BIG-IP cluster or a vCMP guest instance should be used. vCMP technology can be found in larger appliances and scale-out chassis. vCMP allows to run several independent BIG-IP instances as guests, allowing to run even different versions of BIG-IP. The guest can get allocated different amounts of hardware resources. In the next picture, guests are shown in different colored bars using several blades (grey bars). Openshift networking options Kubernetes' networking is provided by Container Networking Interface plugins (CNI from now on) and Openshift supports the following: OpenshiftSDN - supported since Openshift 3.x and still the default CNI. It makes use of VXLAN encapsulation. OVNKubernetes - supported since Openshift 4.4. It makes use of Geneve encapsulation. Feature wise these CNIs we can compare them from the next table from the Openshift documentation. Besides the above features, performance should also be taken into consideration. The NICs used in the Openshift cluster should do encapsulation off-loading, reducing the CPU load in the nodes. Increasing the MTU is recommended specially for encapsulating CNIs, this is suggested in Openshift's documentation as well, and needs to be set at installation time in the install-config.yaml file, see this link for details. BIG-IP networking options The first thing that needs to be decided is how we want the BIG-IP to access the PODs: do we want that the BIG-IP access the PODs directly or do we want to use the typical arrangement of using a 2-tier Load Balancing with an in-cluster Ingress Controller? Equally important is to decide how we want to do NetOps/DevOps separation. CI/CD pipelines provide a management layer which allow several teams to approve or block changes before committing. We are going to takle how to achieve this separation without such an additional management layer. BIG-IP networking option - 1-tier arrangement In this arrangement, the BIG-IP is able to reach the PODs without any address translation . By only using a 1-tier of Load Balancing (see the next picture) the latency is reduced (potentially also increasing client's session performance). Persistence is handled easily and the PODs can be directly monitored, providing an accurate view of the application's health. As it can be seen in the picture above, in a 1-tier arrangement the BIG-IP is part of the CNI network. This is supported for both OpenshiftSDN and OVNKubernetes CNIs. Configuration for BIG-IP with OpenshiftSDN CNI can be found in clouddocs.f5.com. Currently, when using the OVNKubernetes CNI the hybrid-networking option has to be used. In this later case the Openshift cluster will extend its CNI network towards the BIG-IPs using VXLAN encapsulation instead of Geneve used internally within the Openshift nodes. BIG-IP configuration steps for OVNKubernetes in hybrid mode can be followed in this repository created by F5 PM Engineer Mark Dittmer until this is published in clouddocs.f5.com. With a 1-tier configuration there is a fine demarcation line between NetOps (who traditionally managed the BIG-IPs) and DevOps that want to expose their services in the BIG-IPs. In the next diagram it is proposed a solution for this using the IPAM cotroller. The roles and responsibilities would be as follows: The NetOps team would be responsible of setting up the BIG-IP along its basic configuration, up to the the network connectivity towards the cluster including the CNI overlay. The NetOps team would be also responsible of setting up the IPAM Controller and with it the assignment of the IP addresses for each DevOps team or project. The NetOps team would also setup the CIS instances. Each DevOps team or set of projects would have their own CIS instance which would be fed with IP addresses from the IPAM controller. Each CIS instance would be watching each DevOps or project's namespaces. These namespaces are owned by the different DevOps teams. The CIS configuration will specify the partition in the BIG-IP for the DevOps team or project. The DevOps team, as expected, deploys their own applications and create Kubernetes Service definitions for CIS consumption. Moreover, the DevOps team will also define how the Services will be published. These means creating Ingress, Route or any other CRD definition for publishing the services which are constrained by NetOps-owned IPAM controller and CIS instances. BIG-IP networking option - 2-tier arrangement This is the typical way in which Kubernetes clusters are deployed. When using a 2-tier arrangement the External Load Balancer doesn't need to have awareness of the CNI and points to the NodePort addresses of the Ingress Controller inside the Kubernetes cluster. It is up to the infrastructure how to send the traffic to the Ingress Controllers. A 2-tier arrangement sets a harder line of the demarcation between the NetOps and DevOps teams. This type of arrangement using BIG-IP can be seen next. Most External Load Balancers can only perform L4 functionalities but BIG-IP can perform both L4 and L7 functionalities as we will see in the next sections. Note: the proxy protocol mentioned in the diagram is used to allow persistence based on client's IP in the Ingress Controller, regardless the traffic is sent encrypted or not. Publishing the applications: BIG-IP CIS Kubernetes resource types Service type Load Balancer This is a Kubernetes built-in mechanism to expose Ingress Controllers in any External Load Balancer. In other words, this method is meant for 2-tier topologies. This mechanism is very feature limited feature and extensibility is done by means of annotations. F5 CIS supports IPAM integration in this resource type. Check this link for all options possible. In general, a problem or limitation with Kubernetes annotations (regardless the resource type) is that annotations are not validated by the Kubernetes API using a chema therefore allowing the customer to set in Kubernetes bad configurations. The recommended practice is to limit annotations to simple configurations. Declarations with complex annotations will tend to silently fail or not behave as expected. Specially in these cases CRDs are recommended. These will be described further down. Ingress and Route resources, the extensibility problem. Kubernetes and Openshift provide the following resource types for publishing L7 routes for HTTP/HTTPS services: Routes: Openshift exclusive, eventually going to be deprecated. Ingress: Kubernetes standard. Although these are simple to use, they are very limited in functionality and more often than not the Ingress Controllers require the use of annotations to agument the functionality. F5 available annotations for Routes can be checked in this link and for Ingress resources in this link. As mentioned previously, complex annotations should be avoided. When publishing L7 routes, annotation's limitations are more evident and CRDs are even more recommended. Route and Ingress resources can be further augmented by means of using the CIS feature named Override AS3 ConfigMap which allows to specify an AS3 declaration and attach it to a Route or Ingress definition. This gives access to use almost all features & modules available in BIG-IP as exhibit in the next picture. Although Override AS3 ConfigMap eliminates the annotations extensibility limitations it shares the problem that these are not validated by the Kubernetes API using the AS3 schema. Instead, it is validated by CIS but note that ConfigMaps are not capable of reporting the status the declaration. Thus the ConfigMap declaration status can only be checked in CIS logs. Override AS3 ConfigMaps declarations are meant to be applied to the all the services published by the CIS instance. In other words, this mechanism is useful to apply a general policy or shared configuration across several services (ie: WAF, APM, elaborated monitoring). Full flexibility and advanced services with AS3 ConfigMap The AS3 ConfigMap option is similar to Override AS3 ConfigMap but it doesn't rely in having a pre-existing Ingress or a Route resource. The whole BIG-IP configuration is setup in the ConfigMap. Using Full AS3 ConfigMaps with the --hubmode CIS option allows to define the services in a DevOps' owned namespaces and the VIP and associated configurations (ie: TLS settings, IP intelligence, WAF policy, etc...) in a namespace owned by the DevOps team. This provides independence between the two teams. Override AS3 ConfigMaps tend to be small because these are just used to patch the Ingress and Route resources. In other words, extending Ingress and Route-generated AS3 configuration. On the other hand, using full AS3 ConfigMaps require creating a large AS3 JSON declaration that Ingress/Route users are not used to. Again, the AS3 definition within the ConfigMap is validated by BIG-IP and not by Kubernetes which is a limitation because the status of the configuration can only be fully checked in CIS logs. F5 Custom Resource Definitions (CRDs) Above we've seen the Kubernetes built-in resource types and their advanced services & flexibility limitations. We've also seen the swiss-army knife that AS3 ConfigMaps are and the limitation of it not being Kubernetes schema-validated. Kubernetes allows API augmentation by allowing Custom Resource Definitions (CRDs) to define new resource types for any functionality needed. F5 has created the following CRDs to provide the easiness of built-in resource types but with greater functionality without requiring annotations. Each CRD is focused in different use cases: IngressLink aims to simplify 2-tier deployments when using BIG-IP and NGINX+. By using IngressLink CRD instead of a Service of type LoadBalancer. At present the IngressLink CRD provides the following features : Proxy Protocol support or other customizations by using iRules. Automatic health check monitoring of NGINX+ readiness port in BIG-IP. It's possible to link with NGINX+ either using NodePort or Cluster mode, in the later case bypassing any kube-proxy/iptables indirection. More to come... When using IngressLink it automatically exposes both ports 443 and port 80 sending the requests to NGINX+ Ingress Controller. TransportServer is meant to expose non-HTTP traffic configuration, it can be any TCP or UDP traffic on any traffic and it offers several controls again, without requiring using annotations. VirtualServer has L7 routes oriented approach analogous to Ingress/Route resources but providing advanced configurations whilst avoiding using annotations or override AS3 ConfigMaps. This can be used either in a 1 tier or 2-tier arrangement as well. In the later case the BIG-IP would take the function of External LoadBalancer of in-cluster Ingress Controllers yet providing advanced L7 services. All these new CRDs support IPAM. Summary of BIG-IP CIS Kubernetes resource types So what resource types should It be used? The next tables try to summarize the features, strengths and usability of them. Ease of use Network topology and overall suitability Comparing CRDs, Ingress/Routes and ConfigMaps Please note that the features of the different resources is continuously changing please check the latest docs for more up to date information. Installing Container Ingress Services (CIS) for Openshift & BIG-IP integration CIS Installation can be performed in different ways: Using Kubernetes resources (named manual in F5 clouddocs) - this approach is the most low level one and allows for ultimate customization. Using Helm chart. This provides life-cycle management of the CIS installation in any Kubernetes cluster. Using CIS Operator. Built on top of the Helm chart it additionally provides Openshift integrated management. In the screenshots below we can see how the Openshift Operator construct allows for automatic download and updates. We can also see the use of the F5BigIpCtlr resource type to configure the different instances At present IPAM controller installation is only done using Kubernetes resources. After these components are created it is needed to create the VxLAN configuration in the BIG-IP, this can be automated using using any of BIG-IP automations, mainly Ansible and Terraform. Conclusion F5 BIG-IPs provides several options for deployment in Openshift with unmatched functionality either used as External Load Balancer as Ingress Controller achieving a single Tier setup. Three components are used for this integrator: The F5 Container Ingress Services (CIS) for plugging the Kubernetes API with BIG-IP. The F5 ConOpenshift Operator for installing and managing CIS. The F5 IPAM controller. Resource types are the API used to define Services or Ingress Controllers publishing in the F5 BIG-IP. These are constantly being updated and it is recommended to check F5 clouddocs for up to date information. 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