Architecture Options for Kubernetes Service Discovery in Distributed Cloud
The F5 Distributed Cloud (XC) Virtual Edition (VE) Customer Edge (CE) platform can be deployed within your data center or cloud environment. It can perform service discovery for services in your Kubernetes (K8s) clusters. Why do Service discovery? Service discovery is important in systems that change and move around, like microservices architectures. It helps find and connect services automatically. Instead of hard coding network locations, service discovery makes sure that services can easily find and communicate with each other, even when they scale or change locations. This improves scalability, resilience, and simplifies managing services in complex environments like Kubernetes or cloud infrastructures. By reducing manual intervention, service discovery enhances the overall efficiency and reliability of application deployments. The F5 Distributed Cloud (XC) CE can use the native kube-apiserver, or Consul, to query for services as they come online enabling admins to reference these discovered services. These services become XC origin pool definitions and can then be published locally through a proxy (http load balancer) on the CE itself or via our Global Application Delivery Network (ADN) - (Regional Edge Deployment). The F5 XC Load Balancer does more than just balance packets. It offers a set of SAAS security services that are easy to use. Customers can have a globally redundant layer of security while serving content from private K8’s clusters. This write-up covers two distinct service discovery architecture options available with XC. Secure K8s Gateway (VE CE) Kubernetes Sitetype Customer Edge (K8s sitetype CE) Depending on your service discovery use-case you may end up with one of these two options or both as they are not mutually exclusive. The first option of using the CE as a Secure K8s Gateway, may be the easier option for folks not particularly versed with the nuances of Kubernetes. Architecture 1:Virtual Edition Customer Edge (VE CE) If a picture is worth a thousand words then a working lab environment is worth a million. This repo walks through an entire Secure K8s GW setup and will leave you with a config that could easily be expanded upon. You can quickly build a PoC and start getting familiar with these modern app capabilities by using these tools. The readme includes details on how to use everything and what functions the various tools provide. It's all shell script and yaml so it's very easy to read through these and understand what's going on. https://github.com/dober-man/ve-ce-secure-k8s-gw This repo is designed to automate the deployment and configuration of a secure Kubernetes Gateway in the F5 Distributed Cloud (F5 XC) environment. It provides scripts and YAML configurations to set up secure communication, networking policies, and infrastructure components required to establish a secure gateway in a Kubernetes cluster. The readme file also documents the pre-reqs but you will at a minimum need an XC tenant, an XC Virtual Edition CE and an Ubuntu 22.04 server. If you do not have an XC tenant or VE CE, reach out to your local F5 Account team. Please use the issues feature of Github to report any discrepancies with the builds or documentation. Architecture 2:Kubernetes Sitetype Customer Edge (K8s sitetype CE) In this architecture, the entire CE runs as a service within the cluster. This model is going to require a bit more fundamental knowledge of Kubernetes and more tightly integrates with the cluster. You can quickly build a PoC and start getting familiar with these modern app capabilities by using this repo. https://github.com/dober-man/k8s-sitetype-ce This repo is focused on automating the deployment of the k8s-sitetype CE in a Kubernetes cluster. It provides scripts to simplify the process of setting up a secure site gateway for handling network traffic between cloud environments, on-premises infrastructure, and edge locations. The readme file documents the pre-reqs, but you will at a minimum need an XC tenant and an Ubuntu 22.04 server. If you do not have an XC tenant, reach out to your local F5 Account team. Please use the issues feature of Github to report any discrepancies with the builds or documentation. Summary - F5 Distributed Cloud offers a number of Kubernetes integration options for service discovery but also offers several other capabilities including Virtual K8s (Namespace as a Service) and Managed K8s which will be covered in future articles. Please feel free to drop a like or leave a comment below.Experience the power of F5 NGINX One with feature demos
Introduction Introducing F5 NGINX One, a comprehensive solution designed to enhance business operations significantly through improved reliability and performance. At the core of NGINX One is our data plane, which is built on our world-class, lightweight, and high-performance NGINX software. This foundation provides robust traffic management solutions that are essential for modern digital businesses. These solutions include API Gateway, Content Caching, Load Balancing, and Policy Enforcement. NGINX One includes a user-friendly, SaaS-based NGINX One Console that provides essential telemetry and overseas operations without requiring custom development or infrastructure changes. This visibility empowers teams to promptly address customer experience, security vulnerabilities, network performance, and compliance concerns. NGINX One's deployment across various environments empowers businesses to enhance their operations with improved reliability and performance. It is a versatile tool for strengthening operational efficiency, security posture, and overall digital experience. NGINX One has several promising features on the horizon. Let's highlight three key features: Monitor Certificates and CVEs, Editing and Update Configurations, and Config Sync Groups. Let's delve into these in detail. Monitor Certificates and CVE’s: One of NGINX One's standout features is its ability to monitor Common Vulnerabilities and Exposures (CVEs) and Certificate status. This functionality is crucial for maintaining application security integrity in a continually evolving threat landscape. The CVE and Certificate Monitoring capability of NGINX One enables teams to: Prioritize Remediation Efforts: With an accurate and up-to-date database of CVEs and a comprehensive certificate monitoring system, NGINX One assists teams in prioritizing vulnerabilities and certificate issues according to their severity, guaranteeing that essential security concerns are addressed without delay. Maintain Compliance: Continuous monitoring for CVEs and certificates ensures that applications comply with security standards and regulations, crucial for industries subject to stringent compliance mandates. Edit and Update Configurations: This feature empowers users to efficiently edit configurations and perform updates directly within the NGINX One Console interface. With Configuration Editing, you can: Make Configuration Changes: Quickly adapt to changing application demands by modifying configurations, ensuring optimal performance and security. Simplify Management: Eliminate the need to SSH directly into each instance to edit or update configurations. Reduce Errors: The intuitive interface minimizes potential errors in configuration changes, enhancing reliability by offering helpful recommendations. Enhance Automation with NGINX One SaaS Console: Integrates seamlessly into CI/CD and GitOps workflows, including GitHub, through a comprehensive set of APIs. Config Sync Groups: The Config Sync Group feature is invaluable for environments running multiple NGINX instances. This feature ensures consistent configurations across all instances, enhancing application reliability and reducing administrative overhead. The Config Sync Group capability offers: Automated Synchronization: Configurations are seamlessly synchronized across NGINX instances, guaranteeing that all applications operate with the most current and secure settings. When a configuration sync group already has a defined configuration, it will be automatically pushed to instances as they join. Scalability Support: Organizations can easily incorporate new NGINX instances without compromising configuration integrity as their infrastructure expands. Minimized Configuration Drift: This feature is crucial for maintaining consistency across environments and preventing potential application errors or vulnerabilities from configuration discrepancies. Conclusion NGINX One Cloud Console redefines digital monitoring and management by combining all the NGINX core capabilities and use cases. This all-encompassing platform is equipped with sophisticated features to simplify user interaction, drastically cut operational overhead and expenses, bolster security protocols, and broaden operational adaptability. Read our announcement blog for moredetails on the launch. To explore the platform’s capabilities and see it in action, we invite you to tune in to our webinar on September 25th. This is a great opportunity to witness firsthand how NGINX One can revolutionize your digital monitoring and management strategies.
Microsoft 365 IP Steering python script
Hello! Hola! I have created a small and rudimentary script that generates a datagroup with MS 365 IPv4 and v6 addresses to be used by an iRule or policy. There are other scripts that solve this same issue but either they were: based on iRulesLX, which forces you to enable iRuleLX only for this, and made me run into issues when upgrading (memory table got filled with nonsense) based on the XML version of the list, which MS changed to a JSON file. This script is a super simple bash script that calls another super simple python file, and a couple of helper files. The biggest To Do are: Add a more secure approach to password usage. Right now, it is stored in a parameters file locked away with permissions. There should be a better way. Add support for URLs. You can find the contents here:https://github.com/teoiovine-novared/fetch-office365/tree/main I appreciate advice, (constructive) criticism and questions all the same! Thank you for your time.How to secure egress with F5 Service Proxy for Kubernetes
Outline: Securing Egress Challenges How F5 can help Technical bit on how it works Getting trafficinto your clusters to your workloads is just a small part of the cluster admin's tasks, and there are many options available. Controlling the packets going out is harder and often ignored. This makes your clusters more vulnerable to security risks because they don’t follow the same strict rules as your traditional networks. This article will dive deeper into how SPK can control traffic exiting your clusters, even when your application workload uses multus to attach additional external interfaces. Secure Egress Challenges By default, a pod deployed using calico CNI will follow the default route to get out of the cluster. Traffic will look like it’s coming from the worker host’s external IP address on the management interface. While KubernetesNetworkPolicies can be used for egress, it becomes painful to manage the lifecycle of hundreds or thousands of policies across all namespaces as the cluster grows. If you deploy a pod with multus interfaces, as commonly seen with telco applications, you add another way for that pod to bypass any NetworkPolicies applied within the cluster. What if there was a way to manage egress dynamically (as pods are spun up and down) and easily so that the cluster admin could centrally configure and control traffic flowing out of the cluster? How F5 can help Service Proxy for Kubernetes (SPK) is a cloud-native application traffic management solution, designed for communication service provider (CoSP) 5G networks and other application workloads. With SPK and its Calico egress gateway feature, managing a pod's default calico network interface as well as any multus interfaces becomes easy and consistent with the CSRC daemonset. Kernel routes are automatically configured so that the pods traffic will always be routed via the SPK pod where you can apply consistent, namespace-aware network policies, source NAT translation, and other controls. If the "watched" application workload is deleted, the corresponding host rules also get removed. Technical Overview This section will provide an overview of how to configure the above scenario. Host Prerequisites On the host, two shims of type macvlan bridges are created on physical interfaces, one for the application pod's calico traffic and one for the macvlan traffic, which will forward packets on to SPK. These interfaces allow connectivity to the SPK's "internal" and "external2" interfaces, respectively. ip link add spk-shim link ens224 type macvlan mode bridge ip addr add 10.1.30.244/24 dev shim1 ip link set shim1 up ip link add spk-shim2 link ens256 type macvlan mode bridge ip addr add 10.1.10.244/24 dev shim2 ip link set shim2 up Application Prerequisites and Configuration In theSPK controller values.yaml file, configure your application workload namespaces in the watchNamespace block. watchNamespace: - "spk-apps" - "spk-apps-2" Since we want SPK to do the source NAT for pod egress traffic, we create an IPPool with natOutgoing set to false. This IPPool will be used by the applications. apiVersion: crd.projectcalico.org/v1 kind: IPPool metadata: name: app-ip-pool spec: cidr: 10.124.0.0/16 ipipMode: Always natOutgoing: false Ensure that the application namespaces are annotated like below to use the IPPool. kubectl annotate namespace spk-apps "cni.projectcalico.org/ipv4pools"=[\"app-ip-pool\"] kubectl annotate namespace spk-apps-2 "cni.projectcalico.org/ipv4pools"=[\"app-ip-pool\"] Deploy your application. See below for an example deployment manifest for the application. Note that I'm attaching a secondary macvlan interface, which is in addition to the default calico interface. It will get an IP address automatically as configured in the corresponding NetworkAttachmentDefinition. Note the specific labels used by SPK, which allows you to enable traffic routing to SPK on a per application basis. Additionally, the enableSecureSPK=true label will instruct SPK to create additional listeners that will pick up traffic coming from the pod's secondary macvlan interface. (Will show these listeners later) apiVersion: apps/v1 kind: Deployment metadata: name: nginx annotations: spec: selector: matchLabels: app: nginx replicas: 2 template: metadata: annotations: k8s.v1.cni.cncf.io/networks: '[ { "name": "macvlan-conf-ens256-myapp1" } ]' labels: app: nginx enableSecureSPK: "true" enablePseudoCNI: "true" secureSPKPort: "8050" secureSPKCNFPodIfName: "net1" secondaryCNINodeIfName: "spk-shim2" primaryCNINodeIfName: "spk-shim" secureSPKNetAttachDefName: "macvlan-conf-ens256" secureSPKEgressVlanName: "external" SPK Configuration Deploy the custom resource that will configure a listener that does two things: listen for traffic coming from the internal vlan, or the calico interface of targeted application pods SNAT the traffic so that the source IP is an IP address of SPK apiVersion: "k8s.f5net.com/v1" kind: F5SPKEgress metadata: name: egress-crd namespace: ns-f5-spk spec: #leave commented out for snat automap #egressSnatpool: "snatpool-1" dualStackEnabled: false maxTmmReplicas: 1 vlans: vlanList: [internal] disableListedVlans: false Next, we deploy the CSRC Daemonset that dynamically creates the kernel rules and routes for us. Note that I am setting the daemonsetMode to "pseudoCNI" which means I want to route both primary (calico) and secondary interface traffic to SPK. values-csrc.yaml image: repository: gitlab.tky.lab:5050/registry/spk/200 # daemonset mode, regular, secureSPK, or pseudoCNI #daemonsetMode: "regular" daemonsetMode: "pseudoCNI" ipFamily: "ipv4" imageCredentials: name: f5-common-pull-creds config: iptableid: 200 interfacename: "spk-shim" #tmmpodinterfacename: "internal" json: ipPoolCidrInfo: cidrList: - name: cluster-cidr0 value: "172.21.107.192/26" - name: cluster-cidr1 value: "172.21.66.0/26" - name: cluster-cidr2 value: "10.124.18.192/26" - name: node-cidr0 value: "10.1.11.0/24" - name: node-cidr1 value: "10.1.10.0/24" ipPoolList: - name: default-ipv4-ippool value: "172.21.64.0/18" - name: spk-app1-pool value: "10.124.0.0/16" Testing You can then log onto the worker node that is hosting the applications and confirm the routes and rules are created. Essentially, the rules are making calico interfaces use a custom route table that ensures that the default route is via the SPK. # ip rule 0: from all lookup local 32254: from all to 172.21.107.192/26 lookup main 32254: from all to 172.21.66.0/26 lookup main 32254: from all to 10.124.18.192/26 lookup main 32254: from all to 172.28.15.0/24 lookup main 32254: from all to 10.1.10.0/24 lookup main 32257: from 10.124.18.207 lookup ns-f5-spkshim1ipv4257 <--match on app pod1 calico IP!!! 32257: from 10.124.18.211 lookup ns-f5-spkshim1ipv4257 <--match on app pod2 calico IP!!! 32258: from 10.1.10.171 lookup ns-f5-spkshim2ipv4258 <--match on app pod1 macvlan IP!!! 32258: from 10.1.10.170 lookup ns-f5-spkshim2ipv4258 <--match on app pod2 macvlan IP!!! 32766: from all lookup main 32767: from all lookup default # ip route show table ns-f5-spkshim1ipv4257 default via 10.1.30.242 dev shim1 10.1.30.242 via 10.1.30.242 dev shim1 # ip route show table ns-f5-spkshim2ipv4258 default via 10.1.10.160 dev shim2 10.1.10.160 via 10.1.10.160 dev shim2 If I then try to execute a curl command towards a server that exists in a network segment beyond SPK, the application pod will hit the CSRC-configured ip rule and then forwarded to its new default gateway, which is SPK. Since SPK has Source NAT enabled, the "Client IP" from the server perspective is the self-IP of SPK. This means you can apply firewall policies to application workloads in a deterministic way as well as have visibility into what kind of traffic is coming out of your clusters. k exec -it nginx-7d7699f86c-hsx48 -n my-app1 -- curl 10.1.70.30 ================================================ ___ ___ ___ _ | __| __| | \ ___ _ __ ___ /_\ _ __ _ __ | _||__ \ | |) / -_) ' \/ _ \ / _ \| '_ \ '_ \ |_| |___/ |___/\___|_|_|_\___/ /_/ \_\ .__/ .__/ |_| |_| ================================================ Node Name: F5 Docker vLab Short Name: server.tky.f5se.com Server IP: 10.1.70.30 Server Port: 80 Client IP: 10.1.30.242 Client Port: 59248 Client Protocol: HTTP Request Method: GET Request URI: / host_header: 10.1.70.30 user-agent: curl/7.88.1 A simple tcpdump command run in the debug container of SPK confirms that the pod's calico interface IP (10.124.18.192) is the source IP of the incoming traffic on SPK, and after Source NAT is applied using the self-IP of SPK (10.1.30.242), the packet is sent out towards the server. /tcpdump -nni 0.0 tcp port 80 ----snip---- 12:34:51.964200 IP 10.124.18.192.48194 > 10.1.70.30.80: Flags [P.], seq 1:75, ack 1, win 225, options [nop,nop,TS val 4077628853 ecr 777672368], length 74: HTTP: GET / HTTP/1.1 in slot1/tmm0 lis=egress-ipv4 port=1.1 trunk= ----snip---- 12:34:51.964233 IP 10.1.30.242.48194 > 10.1.70.30.80: Flags [P.], seq 1:75, ack 1, win 225, options [nop,nop,TS val 4077628853 ecr 777672368], length 74: HTTP: GET / HTTP/1.1 out slot1/tmm0 lis=egress-ipv4 port=1.1 trunk= Let's take a look at egress application traffic that is using the secondary macvlan interface. In this case, I have not configured Source NAT so SPK will forward the traffic out, retaining the original pod IP. k exec -it nginx-7d7699f86c-g4hpv -n my-app1 -- curl 10.1.80.30 ================================================ ___ ___ ___ _ | __| __| | \ ___ _ __ ___ /_\ _ __ _ __ | _||__ \ | |) / -_) ' \/ _ \ / _ \| '_ \ '_ \ |_| |___/ |___/\___|_|_|_\___/ /_/ \_\ .__/ .__/ |_| |_| ================================================ Node Name: F5 Docker vLab Short Name: ue-client3 Server IP: 10.1.80.30 Server Port: 80 Client IP: 10.1.10.170 Client Port: 56436 Client Protocol: HTTP Request Method: GET Request URI: / host_header: 10.1.80.30 user-agent: curl/7.88.1 Another tcpdump command run in the debug container of SPK shows that it receives the above GET request and sends it out without Source NAT in this case. /tcpdump -nni 0.0 tcp port 80 ----snip---- 13:54:40.389281 IP 10.1.10.170.56436 > 10.1.80.30.80: Flags [P.], seq 1:75, ack 1, win 229, options [nop,nop,TS val 4087715696 ecr 61040149], length 74: HTTP: GET / HTTP/1.1 in slot1/tmm0 lis=secure-egress-ipv4-virtual-server port=1.2 trunk= ----snip---- 13:54:40.389305 IP 10.1.10.170.56436 > 10.1.80.30.80: Flags [P.], seq 1:75, ack 1, win 229, options [nop,nop,TS val 4087715696 ecr 61040149], length 74: HTTP: GET / HTTP/1.1 out slot1/tmm0 lis=secure-egress-ipv4-virtual-server port=1.2 trunk= You can use the familiar tmctl command inside the debug container of SPK to confirm the statistics for both listeners that process the pod's primary (egress-ipv4) and secondary (secure-egress-ipv4-virtual-server) interface egress traffic. /tmctl -f /var/tmstat/blade/tmm0 virtual_server_stat -s name,clientside.bytes_in,clientside.bytes_out,no_staged_acl_match_accept -w 200 name clientside.bytes_in clientside.bytes_out no_staged_acl_match_accept ---------------------------------------------- ------------------- -------------------- -------------------------- secure-egress-ipv4-virtual-server 394 996 1 egress-ipv4 394 1011 1 Now that you have egress traffic routed to the SPK data plane pods, you can use the below F5 published custom resource definitions (CRDs) to apply granular access control lists (ACLs) to meet your security requirements. The firewall configuration is defined as code (YAML manifests) so it natively integrates with K8s and portable across clusters. F5BigContextGlobal: CRD to define the default global firewall behavior and reference the firewall policy. F5BigFwPolicy: CRD to define your firewall rules. In summary, the above diagrams and configuration snippets show how SPK can capture all egress traffic in a dynamic way so that you don't have to sacrifice security and control in your ever-changing Kubernetes clusters.
Certificate server name issue--wildcard certificate
Hello all, I have one virtual server, and I have a policy behind it that redirects to multiple pools. The problem is that my customer requested a certificate for a few applications and requested it as wildcard.xyz.com. However, the application has two dns records as xyz.com and www.xyz.com. Of course, when I call the page as xyz.com, I get a certificate error (not a secure connection). Here, my policy record is as follows: if the host "xyz.com or www.xyz.com" is owned by the host, redirect the traffic to the xyz-pool. I wrote a redirect irule to overcome this. But it didn't work. The rule is like this: when HTTP_REQUEST { if {[HTTP::host] equals "xyz.com"} { HTTP::redirect "https://www.xyz.com[HTTP::uri]" } } anyone have any ideas or suggestion? Thank you in advance for your answers
Help configuring NAT64 on a BIG-IP LTM
I have been trying to implement NAT64 in our network in order for IPv6 only clients can reach our IPv4 only servers. Ive create an IPv6 VIP and enabled the nat6to4 option and port and address translation are enabled. VIP: ipv6 Pool: IPv4 Snat: Auto map when i do #show sys connection cs-server-address 2a:66:x.x.x.xx client IPaddress VIP ip address floating ip address node 2a:45:33.xxx 2a:66:x.x.x.xx any6 any6 I able to see the client IPv6 address reaching to the VIP. But the F5 is not loadbalancing to the backend server How can i make this to work Any help would be greatly appreciated.How I Did it - Migrating Applications to Nutanix NC2 with F5 Distributed Cloud Secure Multicloud Networking
In this edition of "How I Did it", we will explore how F5 Distributed Cloud Services (XC) enables seamless application extension and migration from an on-premises environment to Nutanix NC2 clusters.
