Managing ADCs in the Age of Bimodal IT: Look to Automation


Application delivery evolves dramatically ever year, and application delivery controllers gain new advancements to keep pace with the need for 100 percent uptime and growing demands on data centers. To ensure outstanding delivery of business applications, enterprises are expanding their ADC portfolios by adding devices or moving to the cloud. Many of these emerging applications are “mode 2,” following the principles of agile IT. Gartner says that the future IT organizational structure is cross-functional and bimodal. Bimodal IT paves the way to address digitalization needs.

As a result, there is a need for a much simpler model for providing L4–L7 services that will enable faster application delivery. Many application teams facing high business demands are looking at open-source software like HAProxy, Nginx, or solutions offered by PaaS providers, such as Amazon Web Services (ELB) or Microsoft Azure (ALB). What’s clear is that many enterprises are or soon will be operating a heterogeneous ADC environment that is more dynamic and complex.

With hundreds of ADC devices and thousands of applications that need to be managed simultaneously, managing these infrastructures will present enterprises with significant challenges in processes and administrative controls. As the number of devices increases to meet application traffic, so do the complexities in management, logistics, troubleshooting, and so on. Trying to manually manage mode 1 and mode 2 applications serving production users is a daunting task and delays provisioning.

To make an application production-ready, you have to configure an ADC, which involves multiple teams. It’s also evident that ADC environments are not conducive to change, and yet conversely, they are subject to frequent changes. Hundreds of changes every week amount to a pile of unfulfilled requests.

Related Articles:   The Future of Application Delivery Networking (ADN)

While ADCs ensure application availability, security, and performance, the impact of delays and errors in ADC deployments results in downtime or costly outages. Considering the management challenges and complexities, there are obvious benefits to using automation to manage the ADC deployment process.

But, where do you begin with the automation journey? How do you split the tasks among multiple stakeholders? How can it be implemented effectively and efficiently? The answer is an advanced ADC management and automation tool. Automation provides a standard workflow for every change—from requesting and approving changes to simulating the impact of the change and tracking the implementation for cached network devices. By choosing the right tool, you can gain end-to-end visibility and automated control of your dynamic ADC environment to help you build an agile infrastructure.

To learn more about what an ADC management and automation tool can do for you, check out the infographic 7 reasons why you need an ADC management and automation tool.

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