Optimizing Cloud Networking: Key Considerations for Performance and Security

Optimizing Cloud Networking: Key Considerations for Performance and Security
Written By:
Krishna Seth
Published on

Cloud computing is a buzzword in enterprises, and enterprises keep looking up at the horizon for optimizing networking infrastructure for both performance and security. In this context, Venkata Raman Immidisetti, who has been in the cloud and infrastructure space, diligently participated in the optimization of networking infrastructure that benefited or impacted high-level enterprise projects on cloud strategies. Here he shares his experience with us, reflecting on some of the considerations that he faced while doing so.

One of Immidisetti’s most notable contributions was during his tenure at one of the organizations, where he addressed the rising costs associated with Azure networking in the implementation of Cloud Volumes ONTAP. Traditionally, the use of private endpoints meant that storage access was secure but costly due to high ingress and egress charges. Realizing the inefficiencies of this model, Immidisetti led an initiative to replace it with service endpoints, which presented an opportunity to save on networking costs while maintaining a level of security and performance. This rendered an annual savings of $600,000, adding up to a total of $1.8 million of projected savings in three years. Such an idea not only earned Immidisetti accolades from the company but also established a new practice to be considered in subsequently deploying high-volume storage traffic.

However, the transition from private to service endpoints for an Enterprise storage system Cloud Volumes ONTAP involved numerous technical and operational considerations, he tells us.Transitioning from private to service endpoints while keeping mission-critical workloads running required meticulous coordination across network, storage, security, and application teams. Immidisetti had to navigate complex routing setups, firewall configurations, and application dependencies, all while maintaining stringent security protocols. What made this endeavor stand out was that no such precedent existed within the organization; it was the first time such a configuration had been attempted. The development paved the way for future deployments.

Aside from routing optimization, Immidisetti plays a significant part in bigger transformation projects like leading a large-scale disaster recovery (DR) center migration to Azure. This multi-million-dollar project primarily moved the critical DR infrastructure from on-premises to the cloud, thereby modernizing the approach of the organization towards business continuity and resilience.

He also shares his tradecraft with the internal audience by writing documents, taking part in architectural reviews, and mentoring. Another area of interest is providing public access to case studies and real applications of cloud optimization approaches as initiatives for the larger cloud architecture community.

Reflecting on his experience, he tells us that he strongly believes that cloud cost optimization is not just a financial imperative but also a strategic enabler of innovation. He believes that as cloud services grow more complex, identifying hidden cost drivers through architectural audits will become a core responsibility of infrastructure teams. With the rise of AI-driven analytics, these decisions will increasingly be guided by predictive insights, analytic and adaptable policy enforcement.

Looking at the current trends, Immidisetti anticipates a broader shift toward hybrid and multi-cloud DR strategies, supported by automation that can handle failovers with minimal human intervention. He also stresses that security must remain embedded in every decisionwhen dealing with data in transit across diverse cloud environments. Balancing cost, performance, and security through intentional architectural choices, he says, is defining and what will define successful enterprise cloud changes in the years to come.

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