Cisco/AppDynamics' Shrey Parekh and Whitney Satin on how data center, cloud environments are changing to accommodate next-gen application and data stacks.
As new tools and platforms emerge to meet today’s deployment needs, data centers and cloud infrastructures will need to evolve as well.
In this edition of The New Stack Makers podcast, Shrey Parekh, Cisco AppDynamics’ senior manager of product marketing, and Whitney Satin, AppDynamics’ director of product marketing, discuss how data center and cloud environments are changing to accommodate next-generation applications and data stacks. Alex Williams, founder and publisher of The New Stack, hosted this episode.
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Organizations are seeing a “monumental disruption in the data center” from technologies such as cloud edge computing, and their effects on infrastructure, such as power and cooling, as well as other form-factor concerns, explained Satin. “It’s actually pretty remarkable to think about that level of transformation, all about that infrastructure becoming much more accessible, much more modern and much less monolithic to support some of these new application technologies.”
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More complexity is involved as DevOps teams scale new technologies, such as edge deployments, across multicloud environments. Kubernetes environments will also continue to play a major role to meet these emerging at-scale demands.
“What really excites us here at Cisco about Kubernetes is being able to deploy all of our products, as well as to be able to test all of our products before they go into live deployment with ease and agility, and then being able to iterate and modify our configurations as needed,” said Parekh. “Kubernetes, and containers in general, allow us to do that quite seamlessly, and [we can] then share findings across development teams within Cisco.”
When deploying products for customers with the AppDynamics Kubernetes Cluster Agent — a product offering from AppDynamics and Cisco — it meets “the security and the operational needs that our customers require to be able to view their containers…down to the pods, the nodes, the clusters and the namespaces,” described Parekh.
Offering customers “prime visibility” for next-generation cloud and data center deployments and infrastructure needs for technologies will also remain critical, Satin explained.
“We try to provide visibility no matter where the application is sitting. So the Kubernetes Cluster Agent allows us to meet some of those customers who are a little bit more on the bleeding edge and really make sure that we’re providing them with that deep visibility into the code, and understanding how both application and infrastructure are working in conjunction with one another to deliver that customer experience,” said Satin.
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Like DevOps, DataOps can be described as workflow-related but helps resolve data-management challenges. “I think of DataOps as creating a workflow or a way of working as a data team that creates efficiencies and allows you to get more done with the resources you have in a better, more stable way,” said Schario.
Join us tomorrow and explore with Dell Technologies getting infrastructure ready for modern apps, and centrally managing clouds and cluster.
Welcome to The New Stack Context, a podcast where we discuss the latest news and perspectives in the world of cloud native computing. For this week’s episode, we spoke with Tina Nolte, vice president of product, for Kubernetes management service Spectro Cloud, about why we shouldn’t think of containers/Kubernetes as just another form of virtualization.
DevOps and Cloud computing are joined at the hip, now that fact is well appreciated by the organizations that engaged in SaaS cloud and developed applications in the Cloud. During the COVID crisis period, most of the organizations have started using cloud computing services and implementing a cloud-first strategy to establish their remote operations. Similarly, the extended DevOps strategy will make the development process more agile with automated test cases.