HyperScale Data Centers Featured Article


Microservices Management a Necessity for Hyperscale Data Centers


August 11, 2016

An interesting dichotomy is taking place in today’s massive, hyperscale data centers. These facilities are designed for maximum automation and efficiency, taking advantage of virtualization and often a software-defined approach to networking and centralized management. One of the key elements of that management is microservices, a design feature that drills down to individual application functions, enabling them to scale up or down to adjust to fluctuating demand.

Microservices offer a viable alternative to the process of replicating entire virtual machines to accommodate periods of high demand, and are becoming a critical component throughout data center design, including for production. By applying microservices on a hyperscale, data centers consume less energy and are primed for production as well as application design and development.

Managing microservices can be a challenge, and AppDynamics has addressed the issue by building the new Microservices iQ Performance Engine into its App iQ Platform. The solution is designed to help organizations make the switch to hyperscale efficiently and cost effectively by easily managing all applications that use microservices.

“Every enterprise is in the midst of a digital transformation and looking for a faster and smarter way to manage their evolution,” said David Wadhwani, president and CEO of AppDynamics. “The world’s largest companies are eager to embrace microservices but are waiting for a scalable way of managing the potential impact on their IT infrastructures. With AppDynamics, they have the proven platform to accelerate their digital transformation and help future-proof their microservices investments.”

Microservices iQ offers monitoring, management and optimization of microservices architectures, designed for businesses that want to break up large and inefficient apps into microservices. Because microservices require more application server instances to run smaller pieces, they create a much larger footprint, lending themselves to hyperscale data center build outs.

Features of the new performance engine include automatic detection of service endpoints within any microservices architecture, enabling DevOps teams to closely monitor performance metrics. The solution also uses a logical identity system to keep track of microservices deployed in containers or in the cloud, enabling administrators to focus on the overall health of all microservices. It also contains a thread contention analyzer which helps identify methods where threads are blocked, singling out block time, blocking object and blocking line of code. This significantly minimizes the time needed to find and resolve application performance issues.

As applications and services multiply exponentially and data centers continue to scale out to support that growth, the microservices architecture is gaining traction and support. Being able to easily and efficiently manage those microservices is a necessity in today’s hyperscale data centers, and solutions like the AppDynamics platform are playing a key role.




Edited by Alicia Young

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