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Why devops needs a better approach to cloud networking

Nastel Technologies®
August 10, 2022

A full-stack networking platform with machine learning, autonomous capabilities, and multicloud support allows devops engineers to focus on what matters most—building applications.

 

The promise of digital transformation is enabling businesses to magnify competitive advantages, create new revenue streams, and improve customer experiences. To accomplish all of this, devops engineers are asked to build, test, and deploy applications and services with increased velocity using Kubernetes, microservices, and other cloud-native computing tools, backed by resources from cloud service providers depending on preferences and requirements.

 

But just as your engineers and application stack must turn more agile, so must your network. Shifting to full-stack, autonomous networking for multicloud environments offers a way for enterprises to overcome time-to-value issues and unleash devops engineers to maximize productivity and contributions to business growth.

 

While delivering applications and services more quickly offers huge business benefits, it also comes with added challenges and risks. What good is an application if users experience performance problems that make them less productive? Are your applications providing a secure experience or exposing the organization, employees, or customers to risk? Have all the regulatory compliance requirements been met?

 

More applications are moving to the cloud, and it is expected that cloud spending will outpace non-cloud IT infrastructure spending for the first time later this year, according to IDC. Furthermore, Prosimo’s recent State of Multi-Cloud Infrastructure Report found that 91% of enterprises plan to use multiple clouds, 62% within two years. With greater scale comes increased complexity, and enterprises are struggling to orchestrate and manage this new dynamic IT environment across on-premises data centers, edge computing, and cloud footprints in a consistent way.

 

Many enterprises have tackled connectivity requirements using traditional legacy networking tools, but that approach has fallen short. In fact, 53% of the enterprises tackling multicloud with traditional networking approaches face issues with operational complexity, security, and performance, according to the same State of Multi-Cloud Infrastructure Report. This is due to several key issues.

 

First is that, with traditional networking approaches, troubleshooting and resolving problems is a time-consuming, manual process of looking at dozens of different networking and security tools and dashboards. Second, dealing directly with the native networking tools from Amazon Web Services, Microsoft Azure, Google Cloud Platform, and other cloud providers means navigating different terminology, different user interfaces, and different features, adding more complexity. And third, traditional networking tools have blind spots, as they don’t look at the application layers to provide the best user experience.

 

Enterprises need to solve connectivity and cloud migration problems, but that’s only the start. They also need to think beyond connectivity so that they can free up devops resources to create a frictionless process for delivering applications.

 

Enterprises need one networking platform 

An attractive and increasingly popular way to create dynamic networking platforms is to build on cloud-native constructs related to application and connectivity requirements. Cloud-native constructs give enterprises a way to build scalable platforms that can simplify the orchestration and management of cloud (and on-premises) resources, including integration of native functionality and new features from cloud providers. Cloud-native constructs also make it seamless to give enterprises end-to-end visibility of the entire cloud footprint in real time.

 

While legacy networking and security tools provide point-in-time information for a specific scenario, they often don’t provide the complete picture. Cloud-native constructs offer a way for enterprises to dynamically build a consistent, full-stack networking architecture that reduces the complexity of connecting applications, services, and networks across clouds. Think of full-stack as having two core components. One layer focuses on connectivity and scales dynamically, like hyperscalers, taking advantage of the cloud backbone. The second layer, which sits on top, understands the application and how to best interconnect to ensure that security and performance knobs are available.

 

Delivered as a single, integrated architecture, a full-stack networking platform addresses operations and interdependencies across the full lifecycle—from the network to the application layer. It accounts for networking, performance, security, compliance, and even cloud spend.

 

With complete end-to-end visibility from a full-stack networking platform, enterprises can start to build policies for common issues and requirements. Of course, enterprises are constantly evolving due to economic pressures, shifting customer needs, and new market opportunities. Machine learning offers a way to more easily adapt to new business requirements.

 

Machine learning can recognize patterns to identify issues and provide recommendations to resolve them. Machine learning helps enterprises resolve many issues in real time, shortening mean time to resolution and enabling responses before widespread impact. Further, machine learning recommendations increase in sophistication over time, as the system gains a better understanding of network and application behavior. So, over time, enterprises will be able to extend the autonomous functionality, by gradually loosening the conditions for manual review.

 

This article originally appeared on infoworld.com. To read the full article, click here.

Nastel Technologies is the global leader in Integration Infrastructure Management (i2M). It helps companies achieve flawless delivery of digital services powered by integration infrastructure by delivering tools for Middleware Management, Monitoring, Tracking, and Analytics to detect anomalies, accelerate decisions, and enable customers to constantly innovate, to answer business-centric questions, and provide actionable guidance for decision-makers. It is particularly focused on IBM MQ, Apache Kafka, Solace, TIBCO EMS, ACE/IIB and also supports RabbitMQ, ActiveMQ, Blockchain, IOT, DataPower, MFT, IBM Cloud Pak for Integration and many more.

 

The Nastel i2M Platform provides:

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