Kubernetes architecture options with F5 Distributed Cloud Services
Summary F5 Distributed Cloud Services (F5 XC) can both integrate with your existing Kubernetes (K8s) clusters and/or host a K8s workload itself. Within these distinctions, we have multiple architecture options. This article explores four major architectures in ascending order of sophistication and advantages. Architecture #1: External Load Balancer (Secure K8s Gateway) Architecture #2: CE as a pod (K8s site) Architecture #3: Managed Namespace (vK8s) Architecture #4: Managed K8s (mK8s) Kubernetes Architecture Options As K8s continues to grow, options for how we run K8s and integrate with existing K8s platforms continue to grow. F5 XC can both integrate with your existing K8s clusters and/or run a managed K8s platform itself. Multiple architectures exist within these offerings too, so I was thoroughly confused when I first heard about these possibilities. A colleague recently laid it out for me in a conversation: "Michael, listen up: XC can either integrate with your K8s platform, run inside your K8s platform, host virtual K8s (Namespace-aaS), or run a K8s platform in your environment." I replied, "That's great. Now I have a mental model for differentiating between architecture options." This article will overview these architectures and provide 101-level context: when, how, and why would you implement these options? Side note 1: F5 XC concepts and terms F5 XC is a global platform that can provide networking and app delivery services, as well as compute (K8s workloads). We call each of our global PoP's a Regional Edge (RE). RE's are highly meshed to form the backbone of the global platform. They connect your sites, they can expose your services to the Internet, and they can run workloads. This platform is extensible into your data center by running one or more XC Nodes in your network, also called a Customer Edge (CE). A CE is a compute node in your network that registers to our global control plane and is then managed by a customer as SaaS. The registration of one or more CE's creates a customer site in F5 XC. A CE can run on a hypervisor (VMWare/KVM/Etc), a Hyperscaler (AWS, Azure, GCP, etc), baremetal, or even as a k8s pod, and can be deployed in HA clusters. XC Mesh functionality provides connectivity between sites, security services, and observability. Optionally, in addition, XC App Stack functionality allows a large and arbitrary number of managed clusters to be logically grouped into a virtual site with a single K8s mgmt interface. So where Mesh services provide the networking, App Stack services provide the Kubernetes compute mgmt. Our first 2 architectures require Mesh services only, and our last two require App Stack. Side note 2: Service-to-service communication I'm often asked how to allow services between clusters to communicate with each other. This is possible and easy with XC. Each site can publish services to every other site, including K8s sites. This means that any K8s service can be reachable from other sites you choose. And this can be true in any of the architectures below, although more granular controls are possible with the more sophisticated architectures. I'll explore this common question more in a separate article. Architecture 1: External Load Balancer (Secure K8s Gateway) In a Secure Kubernetes Gateway architecture, you have integration with your existing K8s platform, using the XC node as the external load balancer for your K8s cluster. In this scenario, you create a ServiceAccount and kubeconfig file to configure XC. The XC node then performs service discovery against your K8s API server. I've covered this process in a previous article, but the advantage is that you can integrate with existing K8s platforms. This allows exposing both NodePort and ClusterIP services via the XC node. XC is not hosting any workloads in this architecture, but it is exposing your services to your local network, or remote sites, or the Internet. In the diagram above, I show a web application being accesssed from a remote site (and/or the Internet) where the origin pool is a NodePort service discovered in a K8s cluster. Architecture 2: Run a site within a K8s cluster (K8s site type) Creating a K8s site is easy - just deploy a single manifest found here. This file deploys multiple resources in your cluster, and together these resources work to provide the services of a CE, and create a customer site. I've heard this referred to as "running a CE inside of K8s" or "running your CE as a pod". However, when I say "CE node" I'm usually referring to a discreet compute node like a VM or piece of hardware; this architecture is actually a group of pods and related resources that run within K8s to create a XC customer site. With XC running inside your existing cluster, you can expose services within the cluster by DNS name because the site will resolve these from within the cluster. Your service can then be exposed anywhere by the F5 XC platform. This is similar to Architecture 1 above, but with this model, your site is simply a group of pods within K8s. An advantage here is the ability to expose services of other types (e.g. ClusterIP). A site deployed into a K8s cluster will only support Mesh functionality and does not support AppStack functionality (i.e., you cannot run a cluster within your cluster). In this architecture, XC acts as a K8s ingress controller with built-in application security. It also enables Mesh features, such as publishing of other sites' services on this site, and publishing of this site's discovered services on other sites. Architecture 3: vK8s (Namespace-as-a-Service) If the services you use include AppStack capabilities, then architectures #3 and #4 are possible for you. In these scenarios, our XC node actually runs your K8s on your workloads. We are no longer integrating XC with your existing K8s platform. XC is the platform. A simple way to run K8s workloads is to use a virtual k8s (vK8s) architecture. This could be referred to as a "managed Namespace" because by creating a vK8s object in XC you get a single namespace in a virtual cluster. Your Namespace can be fully hosted (deployed to RE's) or run on your VM's (CE's), or both. Your kubeconfig file will allow access to your Namespace via the hosted API server. Via your regular kubectl CLI (or via the web console) you can create/delete/manage K8s resources (Deployments, Services, Secrets, ServiceAccounts, etc) and view application resource metrics. This is great if you have workloads that you want to deploy to remote regions where you do not have infrastructure and would prefer to run in F5's RE's, or if you have disparate clusters across multiple sites and you'd like to manage multiple K8s clusters via a single centralized, virtual cluster. Best practice guard rails for vK8s With a vK8s architecture, you don't have your own cluster, but rather a managed Namespace. So there are some restrictions (for example, you cannot run a container as root, bind to a privileged port, or to the Host network). You cannot create CRD's, ClusterRoles, PodSecurityPolicies, or Namespaces, so K8s operators are not supported. In short, you don't have a managed cluster, but a managed Namespace on a virtual cluster. Architecture 4: mK8s (Managed K8s) In managed k8s (mk8s, also known as physical K8s or pk8s) deployment, we have an enterprise-level K8s distribution that is run at your site. This means you can use XC to deploy/manage/upgrade K8s infrastructure, but you manage the Kubernetes resources. The benefits include what is typical for 3rd-party K8s mgmt solutions, but also some key differentiators: multi-cloud, with automation for Azure, AWS, and GCP environments consumed by you as SaaS enterprise-level traffic control natively allows a large and arbitrary number of managed clusters to be logically managed with a single K8s mgmt interface You can enable kubectl access against your local cluster and disable the hosted API server, so your kubeconfig file can point to a global URL or a local endpoint on-prem. Another benefit of mK8s is that you are running a full K8s cluster at your site, not just a Namespace in a virtual cluster. The restrictions that apply to vK8s (see above) do not apply to mK8s, so you could run privileged pods if required, use Operators that make use of ClusterRoles and CRDs, and perform other tasks that require cluster-wide access. Traffic management controls with mK8s Because your workloads run in a cluster managed by XC, we can apply more sophisticated and native policies to K8s traffic than non-managed clusters in earlier architectures: Service isolation can be enforced within the cluster, so that pods in a given namespace cannot communicate with services outside of that namespace, by default. More service-to-service controls exist so that you can decide which services can reach with other services with more granularity. Egress control can be natively enforced for outbound traffic from the cluster, by namespace, labels, IP ranges, or other methods. E.g.: Svc A can reach myapi.example.com but no other Internet service. WAF policies, bot defense, L3/4 policies, etc—all of these policies that you have typically applied with network firewalls, WAF's, etc—can be applied natively within the platform. This architecture took me a long time to understand, and longer to fully appreciate. But once you have run your workloads natively on a managed K8s platform that is connected to a global backbone and capable of performing network and application delivery within the platform, the security and traffic mgmt benefits become very compelling. Conclusion: As K8s continues to expand, management solutions of your clusters make it possible to secure your K8s services, whether they are managed by XC or exist in disparate clusters. With F5 XC as a global platform consumed as a service—not a discreet installation managed by you—the available architectures here are unique and therefore can accommodate the diverse (and changing!) ways we see K8s run today. Related Articles Securely connecting Kubernetes Microservices with F5 Distributed Cloud Multi-cluster Multi-cloud Networking for K8s with F5 Distributed Cloud - Architecture Pattern Multiple Kubernetes Clusters and Path-Based Routing with F5 Distributed CloudF5 Distributed Cloud - Customer Edge Site - Deployment & Routing Options
F5 Distributed Cloud Customer Edge (CE) software deployment models for scale and routing for enterprises deploying multi-cloud infrastructure. Today's service delivery environments are comprised of multiple clouds in a hybrid cloud environment. How your multi-cloud solution attaches to your existing on-prem and cloud networks can be the difference between a successful overlay fabric, and one that leave you wanting more out of your solution. Learn your options with F5 Distributed Cloud Customer Edge software.F5 Distributed Cloud - Regional Decryption with Virtual Sites
In this article we discuss how the F5 Distributed Cloud can be configured to support regulatory demands for TLS termination of traffic to specific regions around the world. The article provides insight into the F5 Distributed Cloud global backbone and application delivery network (ADN). The article goes on to inspect how the F5 Distriubted Cloud is able to achieve these custom topologies in a multi-tenant architecture while adhearing to the "rules of the internet" for route summarization. Read on to learn about the flexibility of F5's SaaS platform providing application delivery and security solutions for your applications.F5 Distributed Cloud - Listener Logic
In a proxy, there is a client-side and server-side connection. In this article, we'll focus on how the proxy "picks-up" or "listens" for traffic on the client-side. There are many options and creative ideas that adapt to enterprises business needs. First, we need to know the mechanics and what is possible, and this article covers those basics.Community Learning Path: Multi-Cloud Networking
This Learning Path article will serve as your guide to content that will build your skills in Multi-Cloud Networking. The content is organized starting with Foundational Topics to get you familiar with concepts. This is followed by content that will help you with Basic Configuration. After that, there is content listed for specific Use Case Configurations. This Learning Path is a living document and will be updated as new content is developed. Foundational Topics What is Multi-Cloud Networking? What is Multi-Cloud Networking - Brightboard Lesson Basic Configuration F5 Distributed Cloud Multi Cloud App Demo - Video Experience F5 Distributed Cloud with Multi-Cloud Sites and Distributed Apps Demo Guide & Video Series for F5 Distributed Cloud Network Connect (Multi-Cloud Networking) Build It Live! - Multi-Cloud Networking Live Streams Building an F5 Distributed Cloud Customer Edge, from Hawaii! - Video Multi-Cloud Networking Demo Guide - Github Repo Use Case Configurations Using F5 Distributed Cloud private connectivity orchestration for secure multi-cloud infrastructure Using F5 Distributed Cloud Network Connect to transit, route, & secure private cloud environments When using F5 Distributed Cloud Platform, never deal with Site to Site IP conflicts again! Using F5 Distributed Cloud private connectivity orchestration for secure multi-cloud infrastructure Governance and Automation - Distributed Apps for Hybrid Cloud Architecture Protect an application spread across several locations with F5 XC WAAP and Multi-Cloud NetworkingWhat is Multi-Cloud Networking?
What is Multi-Cloud Networking? Multi-cloud networking (MCN), as a technology, aims to provide easy network connectivity between cloud environments. For the purpose of our definition, we need to imagine our datacenter as a cloud. You can loosely define a cloud environment as 'anywhere you run workloads.' The concept is nebulous… literally. Clouds come in all shapes and sizes, from 'running on Pi' to AWS / GCP / Azure. MCN is to clouds, as Internet is to network. AWS’s DirectConnect, Azure ExpressRoute and GCP’s Direct Link were early forms of MCN, aimed at joining portions of their own clouds together with customer datacenters. Insertion of transport virtual appliances in clouds has become another mechanism for MCN through time. Its strength is its flexibility and agility. One other notable MCN concept is the transport provider. Some circuit providers offer 'short-hop' transport to various cloud providers by routing. This option offers significant throughput versus the SDN router but lacks the agility. This is a popular option for hybrid cloud enterprises. With all of these options, you can make individual connections to each cloud, potentially in a hub and spoke fashion or full mesh. Challenges With Multi-Cloud Networking The top-most concern should be scalability, in every way. You need to be concerned about scale in routing, licensing, metered cloud costs, not to mention the knowledge to understand all of the nuance features of each cloud provider and so many more things. All of this is operational overhead, which can be significant. Another serious challenge is IP addressing. The sheer volume of it is one thing. Anyone who works with modern applications today can tell you that it's hard to even find a workload sometimes, with how massive things can get. DNS is one possible option to assist, but you've got to account for all of the native cloud workloads, too.. with their different DNS interfaces. Another common challenge is IP overlap. If you're curious what I mean, lets say your employer acquires a piece of software that lives in GCP, but you're already in AWS. You start going down the path of routing when you suddenly notice that both cloud environments are 10.1.x.x/16. This means localized routing all over the place and we know how much router people love one-offs, am I right? The next challenge is one I've already hinted at: How many indepth nerd knobs do you want to know by how many security vendors? You've got to strategize to minimize this sort of potential sprawl and standardize on the vendors that can do the most for you. Advantages of Multi-Cloud Networking The greatest advantage is really multi-cloud transit. Understanding so many different and new technologies is a daunting task. With multi-cloud transit, data centers route through the same SDN routers as your cloud application flows, allowing you to see each cloud provider as a metered resource for app consumption. No need to worry about addressing, DNS, or routing for each environment. Another substantial benefit is the enablement of a shared security model. When you can route between these environments, you can also easily aggregate logs, integrate with SIEMs and manage automated security policies with ease. Network fluidity is another substantial benefit. When your COO comes to you and says that you need to integrate a newly acquired network segment, you have no problems. One of the very cool benefits of SDN is the ability to route by software object. When we think of routing in traditional networks we want our packet to get to 10.10.10.4 by way of 192.168.3.1, but an SDN router sends our packet to 10.10.10.4 by way of f5xc_gcp_router4. This also means that your app developer can stamp out their app in AWS to send another packet to 10.10.10.4 by way of f5xc_aws_router16 or such. Overlap no longer matters when you route through an SDN core. Conclusion Giving your modern application networks the flexibility to grow on demand, to assimilate new application network segments in minutes instead of months... Ultimately, I really believe that MCN - when done right - like Chuck Mangione said (well, with a flugel horn), 'Feels So Good.' The designs you can build with it are SO much more scalable and translate everything from physical data centers to clouds in a clean, easy to manage fashion.Using F5 Distributed Cloud private connectivity orchestration for secure multi-cloud infrastructure
Introduction Enterprise businesses use modern apps that access services in many locations. Users running productivity apps, like Office365, must connect to services in the cloud from on-prem locations. To keep this running well, enterprises must provide connectivity that’s fast, reliable, and private. Traditionally, it has taken many steps to create private connections to a public cloud subscription and route application specific traffic to it. F5 Distributed Cloud Platform orchestrates ExpressRoutes in Azure and Direct Connect services in AWS, eliminating many of the steps needed for routing end-to-end. Distributed Cloud private connectivity orchestration makes it easier than ever to connect and configure routing over existing private and dedicated circuits from on-prem locations to cloud services running in AWS and in Azure. The illustration below outlines the basic components to an ExpressRoute service in Azure but there’s a lot more you’ll need to know about just under the cover. Without orchestration, many steps are needed to enable routing between on-prem sites and Azure. This requires expert knowledge of Azure Networking, numerous dependent resources to be built, and advanced routing protocols knowledge -- specifically the Border Gateway Protocol (BGP). Extend on-prem network to a colo provider Create and provision the ExpressRoute Circuit Create a Virtual Network Gateway Create a connection between ExpressRoute Circuit & Virtual Network Gateway (VNG) Configure a Route Server to propagate routes between VNG and on-prem Configure user-defined routes on each subnet on each VNet in Azure Using Distributed Cloud to orchestrate ExpressRoutes in Azure and Direct Connect in AWS, the total number of steps is effectively reduced to just an essential few. Additional benefits include no longer needing to be an expert in Azure Networking or in BGP routing, and you get the ability to control connectivity with intent-based policies natively built into the Distributed Cloud Platform. An example of an intent-based policy is to configure VNet tagging in Azure to use with a firewall policy that just allow access to specific apps or by select users. Additional policies that support tagging include Distributed Cloud WAAP and Distributed Cloud App Infrastructure Protection. The following details cover the key components needed to support direct connectivity and show how to create the services and deploy a privately routed app in Distributed Cloud. Building ExpressRoute to Azure Extend on-prem network to a colo provider Create and provision the ExpressRoute Circuit Enable the ExpressRoute orchestration feature on an Azure VNet Site configured in Distributed Cloud To create an ExpressRoute orchestrated configuration in Distributed Cloud, navigate to Multi-Cloud Network Connect > Site Management > Azure VNET Sites > Add Azure VNET Site or Manage Configuration for an existing Site. Enter the required parameters, and when you reach the “Ingress Gateway or Ingress/Egress Gateway”, select “Ingress/Egress Gateway (Two Interface) …””. Here you have the option to deploy on a Recommended Region or an Alternate Region. This selection depends entirely on your business’ cloud deployment model. After choosing the model that best fits your environment, configure the number of Availability Zones for the Gateway and subnets (new/existing) that it will join and Apply the settings. Now scroll down to Advanced Options (enabling Advanced Fields) and Select VNet type: Hub VNet. Click “View Configuration”, and any existing VNet’s from your Azure Subscription that should inherit orchestrated routing. Next, change the “Express Route Configuration” to Enabled to expand the dropdown to access the ExpressRoute Circuit and Virtual Network Gateway settings. Under “* Connections”, add the ExpressRoute Circuit configuration for your Azure subscription(s). The required fields are the Name and the Express Route Circuit, this is the Resource ID for the circuit in Azure. Note: When configuring more than one circuit, you may want to also configure the Routing Weight for circuit preference. When configuring an express route circuit from another subscription (not shown below), you’ll also need an Authorization Key. For ease of deployment, it’s recommended to use the default values for the remaining fields, including for the Gateway SKU, Subnet for Azure VNet Gateway, and Subnet for Azure Route Server, including ASN Configuration for BGP between Site and Azure Route Servers. After the configuration is fully saved and deployed, with site status Applied on the Cloud Sites page, all resources in Azure will now be set to use ExpressRoute Circuit(s) for all designated L3 routed traffic. Next, we’ll configured the orchestration of Direct Connect in an AWS VPC connected site. AWS TGW connected sites are also support. Building Direct Connect for AWS To create a Direct Connect orchestrated configuration in Distributed Cloud, navigate to Multi-Cloud Network Connect > Site Management > AWS VPC Sites > Add AWS VPC Site or Manage Configuration for an existing Site. Enter the required parameters, and when you reach the “Ingress Gateway or Ingress/Egress Gateway”, choose the form factor that meets your deployment requirements. Scroll down to Advanced Configuration, enable Advanced Fields, and then Enable Direct Connect. Configuring the Direct Connect connection feature, choose either Hosted VIF or Standard VIF mode. Use Hosted VIF when you’re already using the Direct Connect connection for other purposes in AWS or when the VIF is in another AWS subscription. Otherwise, choosing Standard VIF allows Distributed Cloud to automatically create the VIF, and dependent services in AWS mentioned below to access the Direct Connect connection. Standard VIF mode creates the following additional resources in AWS: Virtual Gateway (VGW): associating it to the VPC and enabling route propagation to inside route tables Direct Connect Gateway (DCG): associating it to the VGW Note: In Standard VIF mode, at the end of the deployment admins may copy the direct connect gateway ID and use it to create other VIF’s. Admins may also copy the ASN. This is the AWS side of the ASN that’s needed by network ops teams to configure BGP peering. Note: In Hosted VIF mode, independent site deployment is responsible for: Creating VGW, and associating it to the VPC and enabling route propagation to inside route tables Creating DCG and associating it to the VGW Accepting the Hosted VIF and linking to the DCGW VIF Optionally, you may configure the Custom ASN if needed to work with an existing BGP configuration or choose Auto to let Distributed Cloud figure it out. Apply the config, save changes, and exit to the general Sites page. After the configuration is fully saved and deployed and having site status Applied on the Cloud Sites page, all resources in AWS will now be set to use the Direct Connect Gateway for all designated L3 routed traffic. Adding Private Connectivity On-Prem The final part to this deployment is routing both the ExpressRoute and Direct Connect circuits to an on-prem site. Both circuits must terminate at a colo space, and then standard IT/NetOps teams handle the routing outside the realm of Distributed Cloud to the destination. Building a Distributed App w/ Private Connectivity With Distributed Cloud having orchestrated the routing to each site’s workload, and IT/NetOps configured routing on-prem, including propagating the on-prem routes on BGP, an app with components that work independently can now be accessed as one unified interface. An example of a distributed app that run perfectly in this environment is the demo app, Arcadia Finance. This app has four components: Main – Frontend Web interface API – An App module accessed by Main to support money transfers Refer-A-Friend (Not used) – An App module interface accessed by Main to invite friends Backend – A DB server that stores money transfer accounts used by the API module, stock portfolio positions used by the Main module, and email addresses saved by the Refer-A-Friend module. Functionally, the connection flow is as follows: Users access a VIP advertised by an F5 Global Network Regional Edge to the Internet User traffic is connected to the Main (frontend) app running in AWS via the F5 Global Network Main App connects to API in Azure to load the money-transfer side frame, and then to the Backend DB on-prem to load the stocks portfolio balances. These connections transit the private connectivity links created in this article. API App in Azure connects to the Backend DB on-prem to retrieve money transfer accounts. This connection transits the private connectivity links created in this article. To support this topology and configuration, the apps are divided and run as follows: AWS Frontend (nginx) Main (Web) Refer-A-Friend Azure API (App) On-Prem Backend (DB) To make the app reachable to users, use the Distributed Cloud console Sites Distributed Apps feature to create one HTTP Load Balancer with the VIP advertised to the Internet, and with the origin pool of the Frontend (nginx) app. Note: This step assumes that you have previously created a fully connected AWS CE Site with connectivity to your VPC’s and a Direct Connect circuit in the section above. Navigate to Multi-Cloud App Connect > Manage > Load Balancers > Origin Pools, create a new origin pool. In the pool creation menu, at the top, select “JSON” and change the format to YAML, then paste the following example, changing the specific values, such as the namespace, to match your environment: metadata: name: mcn-aws-workload-pool namespace: mcn-privatelinks labels: ves.io/app_type: arcadia annotations: {} disable: false spec: origin_servers: - private_ip: ip: 10.100.2.238 site_locator: site: tenant: acmecorp-tnxbsial namespace: system name: soln-eng-aws-dc kind: site inside_network: {} labels: {} no_tls: {} port: 8000 same_as_endpoint_port: {} loadbalancer_algorithm: LB_OVERRIDE endpoint_selection: LOCAL_PREFERRED With the origin pool created, navigate to Distributed Apps > Manage > Load Balancers > HTTP Load Balancers, and add a new one with the following YAML provided as an example: metadata: name: mcn-arcadia-frontend namespace: mcn-privatelinks labels: ves.io/app_type: arcadia annotations: {} disable: false spec: domains: - mcn-arcadia-frontend.demo.internal http: dns_volterra_managed: false port: 80 downstream_tls_certificate_expiration_timestamps: [] advertise_on_public_default_vip: {} default_route_pools: - pool: tenant: acmecorp-tnxbsial namespace: mcn-privatelinks name: mcn-aws-workload-pool kind: origin_pool weight: 1 priority: 1 endpoint_subsets: {} Internally verify end-to-end connectivity Opening a command line shell to the Frontend Web App, a variation of traceroute with the tool hping3 and using curl, reveals each hop identified as privately connected along with connectivity established directly to the destination working without an intermediary. The following IP addresses are used to support a TCP connection from the Frontend (Web) app running in AWS to the API app running in Azure: 10.100.2.238 (Source): Frontend (Web) 172.18.0.1: Container host node 192.168.1.6: AWS Direct Connect Gateway 192.168.1.5: On-Prem router 192.168.1.22: Azure ExpressRoute Circuit endpoint 10.101.1.5 (Destination): App (API) In the CLI output, note each hop and the value in the HTTP Response header “Server”: root@1e40062cb314:/etc/nginx# hping3 -ST -p 8080 api HPING api (eth2 10.101.1.5): S set, 40 headers + 0 data bytes hop=1 TTL 0 during transit from ip=172.18.0.1 name=UNKNOWN hop=1 hoprtt=7.7 ms hop=2 TTL 0 during transit from ip=192.168.1.6 name=UNKNOWN hop=2 hoprtt=31.4 ms hop=3 TTL 0 during transit from ip=192.168.1.5 name=UNKNOWN hop=3 hoprtt=67.3 ms hop=4 TTL 0 during transit from ip=192.168.1.22 name=UNKNOWN hop=4 hoprtt=67.2 ms ^C --- api hping statistic --- 8 packets transmitted, 4 packets received, 50% packet loss round-trip min/avg/max = 7.7/43.4/67.3 ms root@1e40062cb314:/etc/nginx# curl -v api:8080 * Rebuilt URL to: api:8080/ * Hostname was NOT found in DNS cache * Trying 10.101.1.5... * Connected to api (10.101.1.5) port 8080 (#0) > GET / HTTP/1.1 > User-Agent: curl/7.35.0 > Host: api:8080 > Accept: */* > < HTTP/1.1 200 OK * Server nginx/1.18.0 (Ubuntu) is not blacklisted < Server: nginx/1.18.0 (Ubuntu) < Date: Thu, 12 Jan 2023 18:59:32 GMT < Content-Type: text/html < Content-Length: 612 < Last-Modified: Fri, 11 Nov 2022 03:24:47 GMT < Connection: keep-alive < ETag: "636dc07f-264" < Accept-Ranges: bytes Conclusion As more services continue to be deployed to and run in the cloud, dedicated, reliable, and secure private connectivity is increasingly required by Enterprises. Establishing connectivity is not a rudimentary task and requires the assistance of many hands in different departments. Distributed Cloud private connectivity orchestration helps streamline this process by eliminating many of the steps required in each cloud provider, including no longer requiring dedicated cloud and routing protocol experts just to configure these services manually. To see all of this in action and to see how all the parts come together, watch the following video, a companion to this article. Visit the following resources for more information about this feature and other Distributed Cloud services: Multi-Cloud Network Connect Product Information Direct Connect orchestration for AWS TGW Sites Direct Connect orchestration for AWS VPC Sites ExpressRoutes orchestration for Azure VNet Sites YouTube VideoMulti-Cluster, Multi-Cloud Networking for K8S with F5 Distributed Cloud – Architecture Pattern
Application is the center of attention for majority organization. It is an important asset for business. Application evolves from simple application to complex application with multitude of integrated systems and distributed – simple to complex. Application becoming so complex. Complexities are the real threat to business regardless from security or operation aspect. Security, clouds, multi-cloud networking and so on exist because of application. Those technologies will cease to exist without existence of application. F5 Distributed Cloud is design to address business most important asset - application. It bring F5 vision to reality for our customer - “Secure, Deliver and Optimize every app and API anywhere”
