What is Application Delivery?
Application delivery is using a suite of technologies to ensure that an application (typically a web application) is brought reliably and efficiently to large numbers of clients or users without compromising its content or functionality.
What are the key elements of application delivery?
An application delivery controller (ADC) is the primary component in application delivery. In a broader sense, however, an ADC is simply a load balancer that acts as a “data traffic cop,” managing the flow of information from servers.
A load balancer mitigates server crashes by optimizing the use of network resources. It prevents overloads by efficiently moving information packets over multiple servers. Load balancers may be hardware, virtual, or software.
Additionally, across multi-cloud environments, application delivery management (ADM) provides a view of how apps are delivered. In doing so, the ADM simplifies system monitoring for the IT administrator.
Along with the ADM and ADC, an application delivery network (ADN) provides reliable access for the end-user by way of using real-time data to prioritize the distribution of apps. In many ways, an AND is a security checkpoint using a service cluster to ensure speed, visibility, security, and application readiness.
What are the benefits of modern application delivery?
Older load balancing appliances and applications can be helped in handling more complex app or data delivery requirements by updating and modernizing elements and components of the entire application delivery system.
As it pertains to the enterprise big picture, modern application delivery can result in:
Cost savings and efficiency
Business apps that have anywhere access via web instead of locally installed apps can improve efficiency. Without the need to buy licenses, such web apps allow businesses to reduce costs—especially when the business spends less on hardware, customer support, and upkeep.
A seamless application experience allows employees access to high performance and availability from their web and cloud applications, which allows workers to do their best work. A good application delivery solution will seamlessly failover to a healthy server when an initial server fails.
Better mobile performance
Modern application delivery controllers can improve mobile application performance. Using domain sharing, which involves connection-layer optimization being applied to one domain, content is broken down on each page into a sequence of subdomains that permit a larger number of channels to be opened simultaneously, which improves page load time and performance.
Stronger user security
A common entry point to an organization’s network is through an application delivery controller, so modern application delivery controllers can play a role in maintaining security. A modern ADC can validate a user’s identity using an on-premises active directory data store if an application is SaaS-based. User experience is enhanced and improves security as the need to store credentials in the cloud is eliminated.
HPE and application delivery
Application delivery is better simplified. Combining HPE delivery platforms and solutions with the purpose-built, hybrid-cloud platform of HPE Ezmeral suite provides the modern capability expected in a modernized application delivery system.
With modernized AD, users can rely on across-the-board increases in security, performance, productivity, efficiency, and savings. HPE Ezmeral Runtime Enterprise ADM unleashes the full potential of your data and accelerates your digital transformation by providing all the tools you need to build, deploy, modernize, monitor, and manage AI and analytics workloads.
HPE Ezmeral Runtime Enterprise facilitates Kubernetes management by way of multi-cluster multi-tenant management, allowing you to turn your most valuable assets, your data, into insights. And your enterprise needs application delivery to be agile. Large-scale deployments are handled with ease, whether on-premises, in the cloud, or at the edge.
And with HPE Ezmeral ML Ops, introducing machine learning operations gives enterprise the speed and flexibility to process tools to create, train, implement, and monitor ML workflows.