![]() ![]() In a setting where there are hundreds or even thousands of apps, the traditional ADC model becomes a workload "bottleneck" and with the potential to produce a large "blast radius" that can jeopardize your business.įurthermore, the traditional ADC approach is a limitation on agile development methods that allow for the rapid introduction of new features. ![]() This includes TLS/SSL offloading, application-level DDoS attack and bot mitigation, web application and API protection, access management, and web content optimization – to name a few. ADCs are responsible for a wider and deeper set of application-centric functions, which is far more dynamic and application-specific than low-level networking functions. Load balancers today are a comprehensive platform for application delivery and so they are also called "Application Delivery Controllers" or ADCs. They worked across all of the applications that ran behind them, providing security, reliability, and performance. Traditionally, load balancers were rather static, with their basic settings seldom requiring modification. Traditional load balancers were monolithic deployments in high availability configurations, often an Active/Passive pair (with one sitting idle!) that could handle the entire or substantial parts of an organization's application portfolio. The traditional ADC model of load balancers at the edge of the Data Center dates back to when load balancers (and most network functions) were dedicated hardware appliances. In application delivery, components like load balancers and web application firewalls (WAFs) traditionally have an integrated control plane and data plane – where the user interface and logic reside in the same application as the packet processing and forwarding. The problem with traditional integrated ADCs for modern applications Cost Optimizations - Achieved through efficiencies and cost savings by utilizing ubiquitous connectivity that is available as commodity hardware and readily available as a service.Agility - The flexibility to allocate and reallocate resources more efficiently: autoscaling infrastructure and mixing best-of-breed platforms.Operational Efficiency - The ability to abstract the intricacies of specific components and manage an entire complex system in a way that is more efficient than managing separate and siloed systems.In general, decoupling the data and control planes has the following benefits: This is consistent with modernizing software systems, which is all about decoupling applications from the infrastructure on which they operate. The idea of decoupling the data and control planes, allowing networks to be programmed, is an intriguing notion that underpins both Software-Defined Everything (SDE) and Infrastructure as Code (DevOps). Why decouple the Control Plane and Data Plane? In a network, a control plane controls and configures a fleet of Data Plane workers to manage traffic appropriately. In a decoupled model (we'll discuss that next), the control plane manages the fabric of your system, the distributed data plane. The control plane is the management layer that manages the data plane, setting the rules for the data plane "workers" and exposing a management UI to users.In a network, the data plane is responsible for the actual processing of communications, right down to forwarding packets from one interface to another. The data plane (sometimes known as the forwarding plane) is where the "workers" of a system reside.A plane is an abstract representation of where certain operations take place.In various technical fields, these terms may have distinct connotations, but they all adhere to the same basic model: These days, the words "plane", "data plane", and "control plane" are frequently used. What is a “Plane”, and what is the Data Plane and Control Plane? Platform operations (NetOps, SecOps, Site Reliability, etc.) can set highways not roadblocks, ensuring compliance with corporate security standards without stifling the velocity of development and deployment. It unites teams involved in the application lifecycle who are usually dispersed across many systems and platforms, with improvements in between.Īpplication Development teams are empowered to deploy applications on their own, with a self-service approach. ![]() A centralized control plane for application delivery allows you to use a single platform for all of your application delivery needs. ![]()
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