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F5 Distributed Cloud: Virtual Sites - Regional Edge (RE)

MattHarmon
Jul 09, 2024 Place Technical Articles
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What is the Edge?
Where oh where to begin? "The Edge" excitement today is reminiscent of "The Cloud" of many moons ago. Everyone, I mean EVERYONE, had a "to the cloud" product to advertise. CS Lewis (The Chronicles of Narnia) wrote an essay titled "The Death of Words" where he bemoaned the decay of words that transitioned from precise meanings to something far more vague. One example he used was gentleman, which had a clear objective meaning (a male above the station of yeoman whose family possessed a coat of arms) but had decayed (and is to this day) to a subjective state of referring to someone well-mannered. This is the case with industry shifts like cloud and edge, and totally works to the advantage of marketing/advertising. The result, however, is usually confusion. In this article, I'll briefly break down the edge in layman's terms, then link out to the additional reading you should do to familiarize yourself with the edge, why it's hot, and how F5 can help with your plans. What is edge computing? The edge, plainly, is all about distribution, taking services once available only in private datacenters and public clouds and shifting them out closer to where the requests are, whether those requests are coming from humans or machines. This shift of services is comprehensive, so while technologies from the infancy of the edge like CDNs are still in play, the new frontier of compute, security, apps, storage, etc, enhances the user experience and broadens the scope of real-time possibilities. CDNs were all about distributing content. The modern edge is all about application and data distribution. Where is the edge, though? But, you say, how is that not the cloud? Good question. Edge computing builds on the technology developed in the cloud era, where de-centralized compute and storage architectures were honed. But the clouds are still regional datacenters. A good example to bring clarity might be an industrial farm. Historically, data from these locations would be sent to a centralized datacenter or cloud for processing, and depending on the workloads, tractors or combines might be idle (or worse: errant) while waiting for feedback. With edge computing, a local node (consider this an enterprise edge) would be gathering all that data, processing, analyzing, and responding in real-time to the equipment, and then sending up to the datacenter/cloud anything relevant for further processing or reporting. Another example would be self-driving car or gaming technology, where perhaps the heavy compute for these is at the telco edge instead of having to backhaul all of it to a centralized processing hub. Where is the edge? Here, there, and everywhere. The edge, conceptually, can be at any point in between the user (be it human, animal, or machine) and the datacenter/cloud. Physically, though, understand that just like "serverless" applications still have to run on an actual server somewhere, edge technology isn't magic, it has to be hosted somewhere as well. The point is that host knows no borders; it can be in a provider, a telco, an enterprise, or even in your own home (see Lori's "Find My Cat" use case). The edge is coming for you The stats I've seen from Gartner and others are pretty shocking. 76% already have plans to deploy at the edge, and 75% of data will be processed at the edge by 2025? I'm no math major, but that sounds like one plus two, carry the three, uh, tomorrow! Are you ready for this? The good news is we are here to help. The best leaps forward in anything in our industry have always come from efforts bringing simplicity to the complexities. Abstraction is the key. Think of the progression of computer languages and how languages like C abstract the needs in Assembler, or how dynamically typed languages like python even abstract away the need for types. Or how hypervisors abstract lower level resources and allow you to carve out compute. Whether you're a netops persona thankful for tools that abstract BGP configurations from the differing syntax of various routers, or a developer thankful for libraries that abstract the nuances of different DNS providers so you can generate your SSL certificates with Let's Encrypt, all of that is abstraction. I like to know what's been abstracted. That's practical at times, but not often. Maybe in academia. Frankly, the cost associated to knowing "all the things" ins't one for which most orgs will pay. Volterra delivers that abstraction, to the compute stack and the infrastructure connective tissue, in spades, thus removing the tenuous manual stitching required to connect and secure your edge services. General Edge Resources Extending Adaptive Applications to the Edge Edge 2.0 Manifesto: Redefining Edge Computing Living on the Edge: How we got here Increasing Diversity of Location and Users is Driving Business to the Edge Application Edge Integration: A Study in Evolution The role of cloud in edge-native applications Edge Design & Data | The Edgevana Podcast (Youtube) Volterra Specific Resources Volterra and Power of the Distributed Cloud (Youtube) Multi-Cloud Networking with Volterra (Youtube) Network Edge App: Self-Service Demo (Youtube) Volterra.io Videos
JRahm
Jun 23, 2021 Place Technical Articles
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Protect multi-cloud and Edge Generative AI applications with F5 Distributed Cloud
F5 Distributed Cloud capabilities allows customers to use a single platform for connectivity, application delivery and security of GenAI applications in any cloud location and at the Edge, with a consistent and simplified operational model, a game changer for streamlined operational experience for DevOps, NetOps and SecOps.
Valentin_Tobi
Mar 11, 2024 Place Technical Articles
1.1KViews
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Journey to the Multi-Cloud Challenges
Introduction The proliferation of internet-based applications, digital transformations accelerated by the pandemic, an increase in multi-cloud adoption, and the rise of the distributed cloud paradigm all bring new business opportunities as well as new operational challenges. According to Propeller Insights Survey; 75% of all organizations are deploying apps in multiple clouds. 63% of those organizations are using three or more clouds. And 56% are finding it difficult to manage workloads across different cloud providers, citing challenges with security, reliability, and connectivity. Below I outline some of the common challenges F5 has seen and illustrate how F5 Distributed Cloud is able to address those challenges. For the purpose of the following examples I am using this demo architecture. Challenge #1: IP Conflict and IP exhaustion As organizations accelerate their digital transformation, they begin to experience significant network growth and changes. As their adoption of multiple public clouds and edge providers expands, they begin to encounter challenges with IP overlap and IP exhaustion. Typically, these challenges seldom happen on the Internet as IP addresses are centrally managed. However, this challenge is common for non-Internet traffic because organizations use private/reserved IP ranges (RFC1918) within their networks and any organization is free to use any private ranges they want. This presents a increasingly common problem as networks expand into public clouds, with the ease of infrastructure bootstrapping using automation, the needs of multi-cloud networking, and finally mergers and acquisitions. The F5 Distributed Cloud can help organizations overcome IP conflict and IP exhaustion challenges by provisioning multiple apps with a single IP address. How to Provision Multiple Apps with a Single IP Address (~8min) Challenge #2: Easy consumable application services via service catalogue A multi-cloud paradigm causes applications to be very distributed. We often see applications running on multiple on-prem data centers, at the edge, and in public cloud infrastructure. Making those applications easily available often involves many infrastructure and security control changes - not an easy task. This includes common tasks such as service advertisement, updates to network routing and switching, changing firewall rules, and provisioning DNS. In this demo, we demonstrate how to seamlessly provision and advertise services, to and from public cloud providers and data centers. This capability enables an organization to seamlessly provision services and create consumable service catalogues. How to Seamlessly Provision Services to/from the Cloud Edge (~4min) Challenge #3: Operational (Day-2) Complexities Often users have multiple discreet tools managing their infrastructure and each tool provides their own dashboard for telemetry, visibility, and observability. Users need access to all these tools into a single consistent view so they can tell exactly what is happening in their environments. F5 Distributed Cloud Console provides a 'single pane of glass' for telemetry, visibility and observability providing operational efficiency for Day-2 operations designed to reduce total cost of ownership. Get a Single Pane of Glass on Telemetry, Visibility and Observability (~7min) Challenge #4: Cloud Vendor lock-in impede business agility. Most organizations do not want their cloud workload locked in to a particular cloud provider. Cloud vendor lock-in can be a major barrier to the adoption of cloud computing and CIO's show some concern with vendor lock-in per Flexera's 2020 CIO Priorities Report, To avoid cloud lock-in, create application resiliency, and get back some of the freedoms of cloud consumption - moving workload from cloud to cloud - organizations need to be able to dynamically move cloud providers quickly and easily in the unlikely event that one cloud provider becomes unavailable. Workload Portability - How to Seamlessly Move Workloads from Cloud to Cloud (~4min) Challenge #5: Consistent Security Policies across clouds How do you ensure that every security policy you require is applied and enforced consistently across the entire fleet of endpoints? According to F5 2020 State of Application Services Report, 59% of respondents said that applying consistent security policies across all company applications was one of their biggest challenges in multi-cloud security. This demo shows how to apply consistent security policies (WAF) across a fleet of cloud workloads deployed at the edge. This helps reduce risk, increase compliance, and helps maintain effective governance. How to Apply Consistent Security Policies Across Clouds (~5min) Challenge #6: Complexities of multiple cloud networking and integration with AWS transit gateway – management of security controls. A multi-cloud strategy introduces complexities around networking and security control between clouds and within clouds. Within one cloud (e.g., AWS VPC), an organization may use the AWS transit gateway (TGW) to stitch together the Inter-VPC communication. Managing multiple VPCs attached to a TGW is, by itself, a challenge in managing security control between VPC. In this demo, we show a simple way to leverage the F5 Distributed Cloud integration with AWS TGW to manage security policy across VPCs (also known as East-West traffic). This demo also demonstrates connecting an AWS VPC with other cloud providers such as Azure, GCP, or an on-prem cloud solution in order to unify the connectivity and reachability of your workload. Multi-Cloud Integration with AWS Transit Gateway (~19min)
Foo-Bang_Chan
Oct 12, 2021 Place Technical Articles
1.1KViews
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0Comments

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Both.gif","associationType":"BODY","width":1262,"height":644,"altText":""},"AssociatedImage:{\"url\":\"https://community.f5.com/t5/s/zihoc95639/images/bS0zMzExMTgtR2pCM0FN?revision=17\"}":{"__typename":"AssociatedImage","url":"https://community.f5.com/t5/s/zihoc95639/images/bS0zMzExMTgtR2pCM0FN?revision=17","title":"Virtual Sites - NA Only - Server Side.gif","associationType":"BODY","width":1262,"height":644,"altText":""},"TkbTopicMessage:message:331118":{"__typename":"TkbTopicMessage","subject":"F5 Distributed Cloud:\nVirtual Sites - Regional Edge (RE)","conversation":{"__ref":"Conversation:conversation:331118"},"id":"message:331118","revisionNum":17,"uid":331118,"depth":0,"board":{"__ref":"Tkb:board:TechnicalArticles"},"author":{"__ref":"User:user:194353"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" \n ","introduction":"","metrics":{"__typename":"MessageMetrics","views":1614},"postTime":"2024-07-09T06:00:00.047-07:00","lastPublishTime":"2024-07-10T09:23:12.671-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" \n This article is a part of a mini-series on traffic flows in F5 Distributed Cloud. This first article starts with the Regional Edge (RE) SaaS data plane of F5 Distributed Cloud. We'll be diving into how you can use Virtual Sites to customize ingress and egress traffic patterns with the Regional Edges. \n Background \n Related Content: \n I've combined two extensive articles for Virtual Sites into this single article. I wrote an article a little over a year ago about setting which Regional Edge locations can decrypt traffic. My good friend across the pond (Atlantic Ocean) Philippe_CLOUP wrote a similar article for using Virtual Sites to limit which Regional Edge locations will health-monitor your service. You can find both articles below for more details: \n \n F5 Distributed Cloud - Regional Decryption with Virtual Sites \n F5 Distributed Cloud - Regional Edge Health Monitoring Insights \n \n I’d like to bring both articles together, to provide a different perspective of the concept that is Virtual Sites, specifically Regional Edge (RE) Virtual Sites. \n Historical Knowledge: \n First, let’s remember that F5 is a proxy company--for Application Delivery and Security. We excel in delivery services such as load-balancing, service discovery, layer 7 routing, rewriting, redirecting, etc. and security services such as Web Application Firewall, Anti-Automation (bot protection), API Security, API Discovery, L7 DDoS, Access Federation, etc. As a proxy architecture, we create a full OSI stack twice for L7 services. These two “flows” include the L3/L4 connection, TLS Session, and L7 Request on each side of the proxy: \n \n \n Client-Side or Downstream (orange) – is the connection between the client and server (F5 Proxy). \n Server-Side or Upstream (green) – is the connection between the client (F5 Proxy) and origin server/application \n \n World of F5 \n In the F5 BIG-IP world, we’ve always referred to #1 as Client-Side, and #2 as Server-Side. However, other proxies will refer to #1 as Downstream, and #2 as Upstream. It is good to know this connection terminology by both standards. \n Where BIG-IP is a single data plane, F5 Distributed Cloud has multiple data planes that work together to deliver and secure traffic with an overlay network fabric in-between. This overlay network fabric allows the Distributed Cloud data planes to split the sides of the proxy across two different data plane instances. In terms of our Regional Edge data plane, this means we have the ability to ingress the client-side/downstream connection in one Regional Edge, and egress the traffic server-side/upstream out of a completely different Regional Edge. For example, this occurs naturally when a health monitor fails at the Regional Edge handling the ingress traffic. This ingress traffic will be sent to the nearest Regional Edge with a healthy health monitor to egress the traffic to origin. Well, what if we want to statically specify this action always? Let’s dig in! \n F5 Distributed Cloud - Sides of the Proxy \n Within F5 Distributed Cloud, you configure Load Balancers. These Load Balancers are the proxies for application/api delivery and security services. Within this Load Balancer configuration, you have two configuration objects that are specific to the client-side/downstream and server-side/upstream. \n \n Client-Side/Downstream – VIP Advertisement \n \n \n \n Server-Side/Upstream – Origin Pool/Servers \n \n \n Virtual Site - Overview \n So, what is a Virtual Site? According to our docs site, a Virtual Site is: \n “A virtual site provides a mechanism to perform operations on a group of sites, reducing the need to repeat the same set of operations for each site.” \n In my head, I simply think of a Virtual Site as a logical grouping of data-plane instances. This logical grouping can then be attached to configuration objects. The attachment of the logical grouping of data plane objects tells the F5 Distributed Cloud what components need to be configured and install on which data plane instances. We support two types of Virtual Sites, which map to the Data Plane types of F5 Distributed Cloud. You can build a Virtual Site to group Regional Edges (REs) or Customer Edges (CEs). We're focusing on Regional Edges (REs) for this article. \n There is a default Virtual Site applied when choosing “Internet” for your VIP advertisement, or not specifying a site for your Origin Pool, which is “ves-io-all-res”. There is an additional Virtual Site created by default that is “ves-no-sites”. This Virtual Site is used when selecting “Do Not Advertise” under the VIP Advertisement selection. Building your own grouping of sites into a Virtual Site, is easy. Navigate to the Shared Configuration Tile under Select a Service or from the Home Screen. Then Manage, Virtual Sites. \n Building a Virtual Site: \n Shared Configuration -> Manage -> Virtual Sites -> Add Virtual Site \n \n Metadata\n \n Name – This is the name you want to give your Virtual Site and will choose when attaching it to configuration objects. \n Labels – You can use labels as a selector option \n Description – Give your Virtual Site a good description and overview so you know why you built it. \n \n \n Site Type (Choose One)\n \n RE – Regional Edge \n CE – Customer Edge \n \n \n Site Selector Expression\n \n Selector Expression (Add Label) – For RE sites, we’ll use the common labels associated with the REs.\n \n To find these referred labels per Regional Edge, you can navigate to Multi-Cloud Network Connect -> Overview -> Sites \n Add Filter to only view “Site Type” “In” “REGIONAL_EDGE” \n Find the Site you’re looking for and drop down the arrow to the left of the site to review the JSON of the site. \n Review the “labels” section\n \n Example of DC-Ashburn \n \n \n \n \n \n \n \n \n \n \n \n For CEs, you’d build your own labels and key values \n \n \n \n Examples RE Label Selection: \n \n Applying Virtual Sites \n Now, let’s look at how we build and apply these Virtual Sites, both Client-Side/Downstream (VIP Advertisement) and Server-Side/Upstream (Origin). \n VIP Advertisement – Client-Side/Downstream \n \n Attaching your Virtual Site to a Public IP\n \n Once you have your virtual site built, you’ll need an IP address that is not your Default Tenant IP. I discuss this in detail here, but ultimately you can bring your enterprise IP space to F5 Distributed Cloud (/24 or larger), or request additional IPs from F5. \n You can find your additional IPs for your F5 Distributed Cloud tenant by selecting the “Shared” Tile from the home screen, choose Manage, Choose Public IP Addresses. \n Select the IP Address you’d like to set your Virtual Site. Drop down the “Virtual Site” option within that IP Address Configuration and select your Virtual Site. \n \n \n Using the IP associated to your Virtual Site within a Load Balancer\n \n Go to the Load Balancer you want to have this Virtual Site Applied \n Find “VIP Advertisement” \n Choose Internet (Specified VIP) \n Select the IP address you updated for your Virtual Site at the step above \n Note, you’ll need to update DNS to point at this new IP address. \n \n \n \n \n \n Origin Pool – Server-Side/Upstream \n \n Building Origin Pool with Virtual Site\n \n Navigate from the Home Screen to either the “Multi-Cloud App Connect” or “Web App & API Protection” tile. Choose Manage, Load Balancers, Origin Pools – Add or Edit from here \n Choose Add Origin Servers \n You can now choose what way you’d like to enter/discovery the origin pool servers “on given Sites”.\n \n IP Address of Origin Server on given Sites \n DNS Name of Origin Server on given Sites \n K8s Service Name of Origin Server on given Sites \n Consul Service Name of Origin Server on given Sites \n \n \n Once you’ve entered the server/service information, be sure to select Virtual Site in the Site or Virtual Site drop down. Choose the Virtual Site you’d like applied to the server-side/upstream. \n Lastly, for RE Virtual Sites, be sure to always choose the “Outside Network” under Select Network on the site drop down \n \n \n \n \n Understanding Traffic Patterns: \n I am going to provide 4 example topologies to give a basic understanding of the traffic flows with Virtual Sites. These Virtual Site topologies are up to you and your enterprise, and my examples certainly aren't the only possibilities. Please just remember, we do maintenance every 4-8 weeks that will take REs offline as we roll through locations upgrading the platform. You never want to have 1 location selected in your virtual site, as it’ll create an outage. \n For my diagrams, there are a few items to call out. I have a subset of the Regional Edges depicted for simplicity’s sake. I’ve provided a few North America, Europe, and Asia Pacific locations to the diagram. I’ve randomly selected IP addresses as examples. I have a single origin located somewhere in the United States called “US Origin”. I’ve provided two client examples of a “US Client” and “EU Client”. Pink colors are to identify the client-side/downstream VIP Advertisement side of the proxy, and green is to identify server-side/upstream Origin side of the proxy in the topology diagram. Lastly, there is an index of the “packet flow” for where the packet is in the process. You can click on the graphics to view larger and in more detail. \n Solution 1: All Regional Edges \n \n In this solution, we’re maintaining the default Virtual Sites by selecting Internet for VIP Advertisement and selecting an origin with “Public DNS” or “Public IP Address”.\n \n This solution is straight-forward and F5 Distributed Cloud’s default topology. The Regional Edge the traffic ingresses into, is likely to be the Regional Edge the traffic egresses. \n US Client and EU client follow their local ISP BGP peering over the internet to find closest Regional Edge for the VIP IP address 72.19.3.183. For the US Client that happens to be New York, and the EU Client Paris. \n Both New York and Paris have Origin Pool configurations, and egress locally back to the internet to route to US Origin. The US Origin will need to allow all Regional Edge SNAT ranges for health checks and traffic. \n \n \n \n & Server Side - Traffic Pattern\n \n Solution 1 - Connection Table: \n \n \n \n \n Client-Side \n Client \n \n \n Client-Side \n Server \n \n \n Server-Side \n Client \n \n \n Server-Side \n Server \n \n \n \n \n 24.140.32.44 \n (US Client) \n \n \n 72.19.3.183 \n (New York-VIP) \n \n \n 72.19.3.13 \n (New York-SNAT) \n \n \n 3.34.15.8 \n (US Origin) \n \n \n \n \n 86.106.83.55 \n (EU Client) \n \n \n 72.19.3.183 \n (Paris-VIP) \n \n \n 72.19.3.17 \n (Paris-SNAT) \n \n \n 3.34.15.8 \n (US Origin) \n \n \n \n \n \n \n Solution 2: North America Only (Client-Side/Downstream) \n This is a common request or deployment strategy where an enterprise believes to operate only within a certain region or country of the world and prefer to limit the Regional Edges that can process the traffic. \n \n In this topology, we’d updated the VIP Advertisement with a secondary IP and Virtual Site but didn’t update the Origin to match the Virtual Site. \n US Client doesn’t change in this topology, still routes to/through New York to the US Origin. \n EU Client, however, doesn’t have a regional VIP advertisement for the software stack and routes to Montreal for “Proxy Services”. Since Montreal has an Origin available, the traffic egresses Montreal to the US Origin.\n \n You’ll notice the orange-dotted network traffic line still ingresses F5’s Global Backbone in Paris due to local /24 route, but since there isn’t a specific route for the VIP local in Paris, our Global Backbone routes traffic to the next nearest PoP with the VIP advertised. \n For more information on routing rules of the Internet, see linked article at the top of this article – Regional Edge Decryption \n Note – Montreal is not necessarily the next PoP to Paris, this is an example. \n \n \n In my opinion there are some flaws with this configuration in its current model/topology:\n \n EU, APCJ/AUS RE locations will continue to health monitor the origin. \n If utilizing ACL/NSG security at origin, your origin servers tab will have down origin servers from the regions you don’t allow (showing red), and this will lower your Application Score creating confusion operationally. \n There is a very rare chance that traffic is routed to one of the EU, APCJ/AUS locations to origin under a failure scenario. \n \n \n \n \n \n Solution 2 - Connection Table: \n \n \n \n \n \n Client-Side \n Client \n \n \n Client-Side \n Server \n \n \n Server-Side \n Client \n \n \n Server-Side \n Server \n \n \n \n \n 24.140.32.44 \n (US Client) \n \n \n 159.60.134.113 \n (New York-VIP) \n \n \n 72.19.3.13 \n (New York-SNAT) \n \n \n 3.34.15.8 \n (US Origin) \n \n \n \n \n 86.106.83.55 \n (EU Client) \n \n \n 159.60.134.113 \n (Montreal-VIP) \n \n \n 72.19.3.15 \n (Montreal-SNAT) \n \n \n 3.34.15.8 \n (US Origin) \n \n \n \n \n \n \n Solution 3: North America Only (Both Sides) \n Following along with #2 previously, in this case we’ve updated both VIP Advertisement for Client-Side/Downstream, as well as Origin Server-Side/Upstream with the same Virtual Site. \n \n The Ingress of traffic doesn’t change from #2 above. \n The Egress to origin is also unlikely to change in typical conditions. \n However, by updating both sides, we’ve:\n \n Eliminated the additional traffic from health monitors hitting origin, and likely failing by the enterprise ACL/NSG deny list. \n Ensured traffic will never source from Regional Edges that are not intended to be used – even in failure scenarios. \n \n \n \n \n \n Solution 3 - Connection Table: \n \n \n \n \n \n Client-Side \n Client \n \n \n Client-Side \n Server \n \n \n Server-Side \n Client \n \n \n Server-Side \n Server \n \n \n \n \n 24.140.32.44 \n (US Client) \n \n \n 159.60.134.113 \n (New York-VIP) \n \n \n 72.19.3.13 \n (New York-SNAT) \n \n \n 3.34.15.8 \n (US Origin) \n \n \n \n \n 86.106.83.55 \n (EU Client) \n \n \n 159.60.134.113 \n (Montreal-VIP) \n \n \n 72.19.3.15 \n (Montreal-SNAT) \n \n \n 3.34.15.8 \n (US Origin) \n \n \n \n \n \n \n Solution 4: North America Only (Server-Side/Upstream) \n Again, building on #2 and #3 above, this model utilizes all Regional Edges on the VIP Advertisement, but limits what F5 Regional Edge locations can send to Origin. This is my favorite model, as you’re building a Secure Edge like an “umbrella” or “Funnel”. \n \n In this model traffic will ingress any Regional Edge globally based on the clients preferred routing on the Internet. \n Since Proxy Services like LB, WAF, L7 DDoS, API Discovery, API Security, Bot Protections, etc. are applied at the VIP advertisement side, this model provides security close to the client. \n Compared to #2 and #3 – While it is anticipated that the enterprise’s “good clients” are within North America, you cannot predict where you may be attacked from. So having a “Distributed” secure edge takes full advantage of all the compute to serve good clients and block malicious clients. \n Looking closer at the egress, because we are ingressing traffic in a location that doesn’t include that location in the Origin Virtual Site, we need to use our Software Defined Network (SDN) Fabric to get to a location that is included in the Origin Virtual site and has a healthy origin. \n In this case, while the EU Client ingresses through Paris and received proxy services in Paris, it will be routed via the SDN Fabric over to Montreal to egress F5 Distributed Cloud. This means, the US origin will see the source IP address of the Montreal Regional Edge. \n This is an example of a Globally Disperse Proxy, where F5 Distributed Cloud can ingress traffic in one location, and egress in another location. \n \n \n \n Solution 4 - Connection Table: \n \n \n \n \n \n Client-Side \n Client \n \n \n Client-Side \n Server \n \n \n Server-Side \n Client \n \n \n Server-Side \n Server \n \n \n \n \n 24.140.32.44 \n (US Client) \n \n \n 159.60.134.113 \n (New York-VIP) \n \n \n 72.19.3.13 \n (New York-SNAT) \n \n \n 3.34.15.8 \n (US Origin) \n \n \n \n \n 86.106.83.55 \n (EU Client) \n \n \n 159.60.134.113 \n (Paris-VIP) \n \n \n 72.19.3.15 \n (Montreal-SNAT) \n \n \n 3.34.15.8 \n (US Origin) \n \n \n \n \n \n \n Summary: \n In summary, the topology models are extremely flexible for F5 Distributed Cloud customers utilizing our SaaS data plane via Regional Edges. There isn’t a one topology that fits all customers, and you should work with your F5 Account Team to collaborate on your business needs. I’ll be adding another article as it pertains to the Customer Edge data planes with Virtual sites. Then lastly, adding a combination article to explain how Regional Edge (RE) and Customer Edge (CE) date planes can be used together, extending the Application Aware Fabric capabilities in many ways to serve your enterprise. \n Related Resources: \n F5 Distributed Cloud Customer Edge Migration Centos to RHEL | DevCentral \n F5 Distributed Cloud – CE High Availability Options: A Comparative Exploration | DevCentral 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is the Edge?","conversation":{"__ref":"Conversation:conversation:285004"},"id":"message:285004","revisionNum":1,"uid":285004,"depth":0,"board":{"__ref":"Tkb:board:TechnicalArticles"},"author":{"__ref":"User:user:51154"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":526},"postTime":"2021-06-23T14:19:29.000-07:00","lastPublishTime":"2021-06-23T14:19:29.000-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" \n\n Where oh where to begin? \"The Edge\" excitement today is reminiscent of \"The Cloud\" of many moons ago. Everyone, I mean EVERYONE, had a \"to the cloud\" product to advertise. CS Lewis (The Chronicles of Narnia) wrote an essay titled \"The Death of Words\" where he bemoaned the decay of words that transitioned from precise meanings to something far more vague. One example he used was gentleman, which had a clear objective meaning (a male above the station of yeoman whose family possessed a coat of arms) but had decayed (and is to this day) to a subjective state of referring to someone well-mannered. This is the case with industry shifts like cloud and edge, and totally works to the advantage of marketing/advertising. The result, however, is usually confusion. In this article, I'll briefly break down the edge in layman's terms, then link out to the additional reading you should do to familiarize yourself with the edge, why it's hot, and how F5 can help with your plans. \n\n What is edge computing? \n\n The edge, plainly, is all about distribution, taking services once available only in private datacenters and public clouds and shifting them out closer to where the requests are, whether those requests are coming from humans or machines. This shift of services is comprehensive, so while technologies from the infancy of the edge like CDNs are still in play, the new frontier of compute, security, apps, storage, etc, enhances the user experience and broadens the scope of real-time possibilities. CDNs were all about distributing content. The modern edge is all about application and data distribution. \n\n \n\n Where is the edge, though? \n\n But, you say, how is that not the cloud? Good question. Edge computing builds on the technology developed in the cloud era, where de-centralized compute and storage architectures were honed. But the clouds are still regional datacenters. A good example to bring clarity might be an industrial farm. Historically, data from these locations would be sent to a centralized datacenter or cloud for processing, and depending on the workloads, tractors or combines might be idle (or worse: errant) while waiting for feedback. With edge computing, a local node (consider this an enterprise edge) would be gathering all that data, processing, analyzing, and responding in real-time to the equipment, and then sending up to the datacenter/cloud anything relevant for further processing or reporting. Another example would be self-driving car or gaming technology, where perhaps the heavy compute for these is at the telco edge instead of having to backhaul all of it to a centralized processing hub. Where is the edge? Here, there, and everywhere. The edge, conceptually, can be at any point in between the user (be it human, animal, or machine) and the datacenter/cloud. Physically, though, understand that just like \"serverless\" applications still have to run on an actual server somewhere, edge technology isn't magic, it has to be hosted somewhere as well. The point is that host knows no borders; it can be in a provider, a telco, an enterprise, or even in your own home (see Lori's \"Find My Cat\" use case). \n\n The edge is coming for you \n\n The stats I've seen from Gartner and others are pretty shocking. 76% already have plans to deploy at the edge, and 75% of data will be processed at the edge by 2025? I'm no math major, but that sounds like one plus two, carry the three, uh, tomorrow! Are you ready for this? The good news is we are here to help. The best leaps forward in anything in our industry have always come from efforts bringing simplicity to the complexities. \n\n Abstraction is the key. Think of the progression of computer languages and how languages like C abstract the needs in Assembler, or how dynamically typed languages like python even abstract away the need for types. Or how hypervisors abstract lower level resources and allow you to carve out compute. Whether you're a netops persona thankful for tools that abstract BGP configurations from the differing syntax of various routers, or a developer thankful for libraries that abstract the nuances of different DNS providers so you can generate your SSL certificates with Let's Encrypt, all of that is abstraction. \n\n I like to know what's been abstracted. That's practical at times, but not often. Maybe in academia. Frankly, the cost associated to knowing \"all the things\" ins't one for which most orgs will pay. Volterra delivers that abstraction, to the compute stack and the infrastructure connective tissue, in spades, thus removing the tenuous manual stitching required to connect and secure your edge services. \n\n General Edge Resources \n\n Extending Adaptive Applications to the Edge Edge 2.0 Manifesto: Redefining Edge Computing Living on the Edge: How we got here Increasing Diversity of Location and Users is Driving Business to the Edge Application Edge Integration: A Study in Evolution The role of cloud in edge-native applications Edge Design & Data | The Edgevana Podcast (Youtube) \n\n Volterra Specific Resources \n\n Volterra and Power of the Distributed Cloud (Youtube) Multi-Cloud Networking with Volterra (Youtube) Network Edge App: Self-Service Demo (Youtube) Volterra.io Videos ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"5246","kudosSumWeight":4,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMnwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.f5.com/t5/s/zihoc95639/images/bS0yODUwMDQtNjI3N2lCREM5RjVBQkM1Q0U3REFB?revision=1\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}}},"Conversation:conversation:328109":{"__typename":"Conversation","id":"conversation:328109","topic":{"__typename":"TkbTopicMessage","uid":328109},"lastPostingActivityTime":"2024-06-07T12:58:53.662-07:00","solved":false},"User:user:305638":{"__typename":"User","uid":305638,"login":"Valentin_Tobi","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://community.f5.com/t5/s/zihoc95639/images/dS0zMDU2MzgtMjE5NThpMzEwNzRGNTRCM0ZCREU4Rg"},"id":"user:305638"},"AssociatedImage:{\"url\":\"https://community.f5.com/t5/s/zihoc95639/images/bS0zMjgxMDktQ3ZSbTlJ?revision=15\"}":{"__typename":"AssociatedImage","url":"https://community.f5.com/t5/s/zihoc95639/images/bS0zMjgxMDktQ3ZSbTlJ?revision=15","title":"clipboard_image-1-1709066487117.png","associationType":"BODY","width":958,"height":662,"altText":""},"AssociatedImage:{\"url\":\"https://community.f5.com/t5/s/zihoc95639/images/bS0zMjgxMDktSzVZY1hZ?revision=15\"}":{"__typename":"AssociatedImage","url":"https://community.f5.com/t5/s/zihoc95639/images/bS0zMjgxMDktSzVZY1hZ?revision=15","title":"clipboard_image-2-1709066487129.png","associationType":"BODY","width":1172,"height":828,"altText":""},"AssociatedImage:{\"url\":\"https://community.f5.com/t5/s/zihoc95639/images/bS0zMjgxMDktRDhrbFRw?revision=15\"}":{"__typename":"AssociatedImage","url":"https://community.f5.com/t5/s/zihoc95639/images/bS0zMjgxMDktRDhrbFRw?revision=15","title":"K8s_Internal_LLM.jpeg","associationType":"BODY","width":2865,"height":760,"altText":""},"AssociatedImage:{\"url\":\"https://community.f5.com/t5/s/zihoc95639/images/bS0zMjgxMDktZlVPbFhn?revision=15\"}":{"__typename":"AssociatedImage","url":"https://community.f5.com/t5/s/zihoc95639/images/bS0zMjgxMDktZlVPbFhn?revision=15","title":"SecureMCN.jpeg","associationType":"BODY","width":3324,"height":1941,"altText":""},"AssociatedImage:{\"url\":\"https://community.f5.com/t5/s/zihoc95639/images/bS0zMjgxMDktbXZWMTBx?revision=15\"}":{"__typename":"AssociatedImage","url":"https://community.f5.com/t5/s/zihoc95639/images/bS0zMjgxMDktbXZWMTBx?revision=15","title":"GenAI Architectures - Scenario4_RE_CE_only.jpeg","associationType":"BODY","width":3605,"height":1296,"altText":""},"TkbTopicMessage:message:328109":{"__typename":"TkbTopicMessage","subject":"Protect multi-cloud and Edge Generative AI applications with F5 Distributed Cloud","conversation":{"__ref":"Conversation:conversation:328109"},"id":"message:328109","revisionNum":15,"uid":328109,"depth":0,"board":{"__ref":"Tkb:board:TechnicalArticles"},"author":{"__ref":"User:user:305638"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":" F5 Distributed Cloud capabilities allows customers to use a single platform for connectivity, application delivery and security of GenAI applications in any cloud location and at the Edge, with a consistent and simplified operational model, a game changer for streamlined operational experience for DevOps, NetOps and SecOps. ","introduction":"","metrics":{"__typename":"MessageMetrics","views":1099},"postTime":"2024-03-11T09:44:59.846-07:00","lastPublishTime":"2024-06-07T12:58:53.662-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Introduction \n The release of ChatGPT in 2022 saw Generative AI and Large Language Models (LLMs) move from a theoretical field of study to a driving force for an increasing number of real applications. Bloomberg is estimating the GenAI market to reach a size of $1.3 trillion in 2032, an explosive increase of over $40 billion in 2022. The same research points to the synergy between rolling out new GenAI applications and the ongoing move of workloads to the public clouds. \n \n The public cloud providers (AWS, Google, and Microsoft) seem very well positioned to support the massive demand for computation power required by GenAI and there is already stiff competition between them to attract developers and enterprises by expanding their GenAI-supporting features. Customers wanting to leverage the best tool and functionalities from each cloud provider may end up deploying their applications in a distributed way, across multiple cloud providers. \n \n This also has some drawbacks, the complexity of utilizing different environments makes it more difficult to find the diverse skills needed, the lack of unified visibility hinders operations and inconsistent policy enforcement can lead to potential security vulnerabilities. \n \n Securing distributed GenAI workloads with F5 Distributed Cloud \n F5’s response with Distributed Cloud is to simplify connectivity and security across clouds. It can serve both legacy and modern applications, ensuring a consistent SaaS experience. It abstracts away the application delivery and security layers from the underlying infrastructure, preventing vendor lock-in and facilitating workload migrations between the public cloud providers. It also seamlessly integrates with an extensive partner ecosystem, allowing 3rd party service insertion and avoiding its lock-in. \n \n \n \n \n \n \n As a testament to the speed of development in this area, a new direction is already being explored: running GenAI at the Edge. This move is partially driven by the power consumption (and therefore cost) projected to be needed in case GenAI models will keep following the existing trend of being deployed mainly in data centers, see Tirias Research’s “Generative AI Breaks The Data Center Part 1 and 2”. \n \n Generation latency, security, and privacy regulations might be other reasons to consider deploying GenAI models at the Edge, at least for inference and potentially fine-tuning while the training may remain on the cloud. For example, research papers like “An Overview on Generative AI at Scale with Edge-Cloud Computing” show some potential future directions for architecting GenAI applications. \n \n Research has also been carried out on the environmental impact of GenAI, for example, “Reducing the Carbon Impact of Generative AI Inference (today and in 2035)”, one of the mitigation measures being the intelligent distribution of requests to improve the carbon footprint but also maintain user experience, by minimizing user-response latency. \n \n Edge computing has the potential to offer low latency, custom security, privacy compliance, and better cost management. The downsides are similar to the multi-cloud scenario, where multi-vendor complexity is driving up the total cost of ownership and increasing time to market. \n \n F5’s Distributed Cloud AppStack offers a fully integrated stack that enables a consistent deployment model (on-prem or public/private cloud), lowering TCO and shortening TTM. \n \n \n \n F5 can protect LLMs wherever they are deployed. In a scenario where a private LLM needs to be protected, NGINX App Protect can provide API Security by enforcing the OpenAPI spec, ensuring that only the compliant requests are submitted to the LLM: \n \n \n In a scenario where the LLM and the GenAI front-end application are being deployed in different locations (such as the case of a multi-cloud deployment), F5 Distributed Cloud can provide seamless connectivity across any environment (with its AppConnect feature) and also protect the connection with the WAF function: \n \n \n Where \"Inference at the Edge\" is needed, either due to security, regulatory or latency concerns, F5 Distributed Cloud can easily provide an unified deployment environment, portable across different sites, that can also benefit from the full security stack available at the Regional Edge level. For more information on various ways to deploy F5 Distributed Cloud and implementation examples (both manual through the SaaS console and automation), you can consult the “Deploy WAF on any Edge with F5 Distributed Cloud” DevCentral article. \n \n \n For a demo on how NGINX App Protect and F5 Distributed Cloud MultiCloud Networking can secure GenAI workloads, including protection against OWASP’s Sensitive Information Disclosure (LLM06), you can check the following recording: \n \n \n \n For more details on the step-by-step procedure to setup these demos through the Distributed Cloud console, as well as the corresponding automation scripts, you can check the \"F5 Distributed Cloud Terraform Examples\" GitHub repository. \n As shown in these demos, F5 Distributed Cloud enables GenAI applications to be distributed across multiple public clouds (as well as on-prem and private clouds), seamlessly connecting their components with a unitary, single pane of glass, Multicloud Networking (MCN) solution. F5 XC MCN solution employs Customer Edge sites as \"portals\" between different environments, allowing services from one environment to be exposed in the other. In the demo above, the LLM remote service from AWS/EKS is being advertised as local to GCP/GKE, to be used by the GenAI application. Since the service is exposed through an HTTP Loadbalancer XC object, a wide range of security features can be enabled for this service, helping secure the MCN connection. F5 XC Secure MCN (S-MCN) is therefore a complete solution, connecting and securing multicloud and on-prem deployments, regardless of their location. \n API Discovery and enforcement is one of the critical features of F5 Distributed Cloud in this context. Another would be API Rate Limiting, enabling protection against OWASP’s Model Denial of Service (LLM04). You can check the “Protect LLM applications against Model Denial of Service” for an implementation example. \n To help accelerate LLM execution speeds, F5 Distributed Cloud can leverage GPU resources available on Distributed Cloud sites where such hardware is avalable and also supports Virtual GPU (vGPU) applications on Distributed Cloud VMware sites with NVIDIA Tesla T4 vGPU software. \n \n Conclusion \n F5 Distributed Cloud capabilities allow customers to use a single platform for connectivity, application delivery, and security of GenAI applications in any cloud location and at the Edge, with a consistent and simplified operational model, a game changer for streamlined operational experience for DevOps, NetOps, and SecOps. \n \n Resources \n How F5 can help mitigate threats against Generative AI applications \n Deploy WAF on any Edge with F5 Distributed Cloud \n F5 XC Terraform examples GitHub repository \n F5 Hybrid Security Architectures GitHub repository \n ","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})@stringLength":"7367","kudosSumWeight":3,"repliesCount":0,"readOnly":false,"images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuMnwyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.f5.com/t5/s/zihoc95639/images/bS0zMjgxMDktQ3ZSbTlJ?revision=15\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMnwyLjF8b3wyNXxfTlZffDI","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.f5.com/t5/s/zihoc95639/images/bS0zMjgxMDktSzVZY1hZ?revision=15\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMnwyLjF8b3wyNXxfTlZffDM","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.f5.com/t5/s/zihoc95639/images/bS0zMjgxMDktRDhrbFRw?revision=15\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMnwyLjF8b3wyNXxfTlZffDQ","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.f5.com/t5/s/zihoc95639/images/bS0zMjgxMDktZlVPbFhn?revision=15\"}"}},{"__typename":"AssociatedImageEdge","cursor":"MjUuMnwyLjF8b3wyNXxfTlZffDU","node":{"__ref":"AssociatedImage:{\"url\":\"https://community.f5.com/t5/s/zihoc95639/images/bS0zMjgxMDktbXZWMTBx?revision=15\"}"}}],"totalCount":5,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"videos":{"__typename":"VideoConnection","edges":[],"totalCount":0,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}}},"Conversation:conversation:282139":{"__typename":"Conversation","id":"conversation:282139","topic":{"__typename":"TkbTopicMessage","uid":282139},"lastPostingActivityTime":"2023-02-17T09:47:56.754-08:00","solved":false},"User:user:171064":{"__typename":"User","uid":171064,"login":"Foo-Bang_Chan","registrationData":{"__typename":"RegistrationData","status":null},"deleted":false,"avatar":{"__typename":"UserAvatar","url":"https://community.f5.com/t5/s/zihoc95639/images/dS0xNzEwNjQtSzhEcmtx?image-coordinates=62%2C0%2C1665%2C1603"},"id":"user:171064"},"AssociatedImage:{\"url\":\"https://community.f5.com/t5/s/zihoc95639/images/bS0yODIxMzktMTQ0MDVpNzZFMURBNzhEQjlBNDJCMw?revision=5\"}":{"__typename":"AssociatedImage","url":"https://community.f5.com/t5/s/zihoc95639/images/bS0yODIxMzktMTQ0MDVpNzZFMURBNzhEQjlBNDJCMw?revision=5","title":"0EM1T000003KKUb.jpg","associationType":"BODY","width":896,"height":499,"altText":null},"TkbTopicMessage:message:282139":{"__typename":"TkbTopicMessage","subject":"Journey to the Multi-Cloud Challenges","conversation":{"__ref":"Conversation:conversation:282139"},"id":"message:282139","revisionNum":5,"uid":282139,"depth":0,"board":{"__ref":"Tkb:board:TechnicalArticles"},"author":{"__ref":"User:user:171064"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":1100},"postTime":"2021-10-12T15:07:36.000-07:00","lastPublishTime":"2023-02-17T09:47:56.754-08:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Introduction \n The proliferation of internet-based applications, digital transformations accelerated by the pandemic, an increase in multi-cloud adoption, and the rise of the distributed cloud paradigm all bring new business opportunities as well as new operational challenges. According to Propeller Insights Survey; \n \n 75% of all organizations are deploying apps in multiple clouds. \n 63% of those organizations are using three or more clouds. \n And 56% are finding it difficult to manage workloads across different cloud providers, citing challenges with security, reliability, and connectivity. \n \n Below I outline some of the common challenges F5 has seen and illustrate how F5 Distributed Cloud is able to address those challenges. For the purpose of the following examples I am using this demo architecture. \n \n Challenge #1: IP Conflict and IP exhaustion \n As organizations accelerate their digital transformation, they begin to experience significant network growth and changes. As their adoption of multiple public clouds and edge providers expands, they begin to encounter challenges with IP overlap and IP exhaustion. Typically, these challenges seldom happen on the Internet as IP addresses are centrally managed. However, this challenge is common for non-Internet traffic because organizations use private/reserved IP ranges (RFC1918) within their networks and any organization is free to use any private ranges they want. This presents a increasingly common problem as networks expand into public clouds, with the ease of infrastructure bootstrapping using automation, the needs of multi-cloud networking, and finally mergers and acquisitions. The F5 Distributed Cloud can help organizations overcome IP conflict and IP exhaustion challenges by provisioning multiple apps with a single IP address. \n How to Provision Multiple Apps with a Single IP Address (~8min) \n \n Challenge #2: Easy consumable application services via service catalogue \n A multi-cloud paradigm causes applications to be very distributed. We often see applications running on multiple on-prem data centers, at the edge, and in public cloud infrastructure. Making those applications easily available often involves many infrastructure and security control changes - not an easy task. This includes common tasks such as service advertisement, updates to network routing and switching, changing firewall rules, and provisioning DNS. In this demo, we demonstrate how to seamlessly provision and advertise services, to and from public cloud providers and data centers. This capability enables an organization to seamlessly provision services and create consumable service catalogues. \n How to Seamlessly Provision Services to/from the Cloud Edge (~4min) \n \n Challenge #3: Operational (Day-2) Complexities \n Often users have multiple discreet tools managing their infrastructure and each tool provides their own dashboard for telemetry, visibility, and observability. Users need access to all these tools into a single consistent view so they can tell exactly what is happening in their environments. F5 Distributed Cloud Console provides a 'single pane of glass' for telemetry, visibility and observability providing operational efficiency for Day-2 operations designed to reduce total cost of ownership. \n Get a Single Pane of Glass on Telemetry, Visibility and Observability (~7min) \n \n Challenge #4: Cloud Vendor lock-in impede business agility. \n Most organizations do not want their cloud workload locked in to a particular cloud provider. Cloud vendor lock-in can be a major barrier to the adoption of cloud computing and CIO's show some concern with vendor lock-in per Flexera's 2020 CIO Priorities Report, To avoid cloud lock-in, create application resiliency, and get back some of the freedoms of cloud consumption - moving workload from cloud to cloud - organizations need to be able to dynamically move cloud providers quickly and easily in the unlikely event that one cloud provider becomes unavailable. \n Workload Portability - How to Seamlessly Move Workloads from Cloud to Cloud (~4min) \n \n Challenge #5: Consistent Security Policies across clouds \n How do you ensure that every security policy you require is applied and enforced consistently across the entire fleet of endpoints? According to F5 2020 State of Application Services Report, 59% of respondents said that applying consistent security policies across all company applications was one of their biggest challenges in multi-cloud security. This demo shows how to apply consistent security policies (WAF) across a fleet of cloud workloads deployed at the edge. This helps reduce risk, increase compliance, and helps maintain effective governance. \n How to Apply Consistent Security Policies Across Clouds (~5min) \n \n Challenge #6: Complexities of multiple cloud networking and integration with AWS transit gateway – management of security controls. \n A multi-cloud strategy introduces complexities around networking and security control between clouds and within clouds. Within one cloud (e.g., AWS VPC), an organization may use the AWS transit gateway (TGW) to stitch together the Inter-VPC communication. Managing multiple VPCs attached to a TGW is, by itself, a challenge in managing security control between VPC. In this demo, we show a simple way to leverage the F5 Distributed Cloud integration with AWS TGW to manage security policy across VPCs (also known as East-West traffic). This demo also demonstrates connecting an AWS VPC with other cloud providers such as Azure, GCP, or an on-prem cloud solution in order to unify the connectivity and reachability of your workload. \n Multi-Cloud Integration with AWS Transit Gateway (~19min) \n 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