Wednesday, December 7, 2022

Achieving Long-Term Success with a Full-Stack Networking Platform

By Prangya Pandab - August 26, 2022 4 Mins Read

DevOps engineers can focus on what really matters—building applications—by using a full-stack networking platform with autonomous capabilities, machine learning, and multi-cloud support.

The promise of digital transformation is that it will help companies magnify their competitive advantages, identify new sources of income, and enhance consumer experiences. DevOps engineers are required to design and deploy services and applications more quickly using micro services, Kubernetes, and other cloud-native computing tools, supported by resources from cloud service providers according to needs and preferences, to achieve all of this.

But the network must become more agile in the same way that engineers and the application stack must.

For multi-cloud environments, moving to full-stack, autonomous networking offers businesses a chance to solve time-to-value concerns and free DevOps engineers to enhance productivity and contribute to company growth.

With legacy networking solutions, several businesses have attempted to address connectivity requirements, but their efforts have been unsuccessful. Businesses using legacy networking approaches to handle multi-cloud encounter challenges with operational security, complexity, and performance.

With legacy networking approaches, addressing issues is a manual, time-consuming process that involves looking at different dashboards and networking and security tools. Also, working directly with native networking tools requires learning new jargon, user interfaces, and functionalities, which increases complexity. Moreover, legacy networking solutions have blind spots because they don’t consider the application layers to provide the optimal user experience.

Enterprises must first address issues with cloud migration and connectivity, but that is just the beginning. To free up DevOps resources and design a frictionless process for delivering applications, they must also think beyond connectivity.

The Need for One Networking Platform 

Building on cloud-native components related to connectivity and application requirements is a more popular way to create dynamic networking platforms. Enterprises can use cloud-native structures to create scalable platforms that can make it easier to orchestrate and manage cloud resources, including the integration of new features and native functionalities from cloud providers. Enterprises get end-to-end visibility of the complete cloud footprint in real-time, thanks to cloud-native constructs.

Legacy networking and security solutions offer point-in-time data for a particular scenario, but they often don’t show the full picture. Enterprises can dynamically create a full-stack, consistent networking architecture using cloud-native structures, which makes linking apps, services, and networks across clouds less complex.

A full-stack networking platform addresses interdependencies and operations across the entire lifecycle, from the application layer to the network, and is delivered as a single, integrated design. It accounts for performance, networking, compliance, security, and even cloud spending.

Enterprises can start developing policies for common problems and demands with end-to-end visibility provided by a full-stack networking platform. Of course, businesses are always evolving because of shifting consumer needs, new market opportunities, and economic pressures. Machine learning provides a better way to more easily adjust to new business requirements.

Machine learning can spot trends to pinpoint problems and offer suggestions for how to fix them. Machine learning helps companies address many issues in real-time, reducing the mean time to resolution and enabling responses before a big impact. Furthermore, as the system develops a deeper understanding of application and network behavior, ML recommendations become more sophisticated over time. Therefore, by gradually easing the requirements for manual review, organizations can extend the autonomous functionality over time.

Enabling DevOps to Move Faster 

DevOps engineers can focus on the tasks for which they were hired with a full-stack networking platform with autonomous capabilities. The full-stack networking platform can detect new or modified applications, resources, and services on the network and make the required adjustments.

A full-stack networking platform also makes it possible for businesses to integrate IT and business requirements while establishing an easy, scalable solution to implement the necessary policies. DevOps engineers can now design and deploy apps swiftly in accordance with business requirements rather than being constrained by the timelines set by IT.

Businesses today are struggling with IT complexity, a talent gap in the cloud and security space, and friction between DevOps, lines of business, and IT teams. Enterprises can effectively address these issues by utilizing a full-stack networking platform.

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AUTHOR

Prangya Pandab

Prangya Pandab is an Associate Editor with OnDot Media. She is a seasoned journalist with almost seven years of experience in the business news sector. Before joining ODM, she was a journalist with CNBC-TV18 for four years. She also had a brief stint with an infrastructure finance company working for their communications and branding vertical.

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