Cloud-Native Architecture

telco infrastructure evolves toward 6G architectures, the underlying technologies enabling these networks are undergoing a fundamental transformation. Cloud-native network functions (CNFs) have replaced traditional monolithic systems, bringing the benefits of…

This blogpost continues our ongoing series on vamsitalkstech.com about next-generation wireless technology (aka 6G). In this post, we examine the architectural foundations of 6G networks, following up on concepts introduced…

As telecommunications networks undergo a transformation towards 5G and the forthcoming 6G architectures, the adoption of cloud-native network functions (CNFs) becomes paramount. These CNFs, designed to operate within cloud environments,…

Long time readers of the blog will remember the series of blogs on Service mesh technology that I did in 2020 – https://www.vamsitalkstech.com/?s=Service+Mesh . Since that time, service meshes have…

Containerization (and the CNCF from a standards body) is driving increased adoption of platforms, which can be valuable assets for organizations that are looking to improve their agility, reduce their costs, and improve the quality of their applications and services.

This blog post outlines the key questions to ask when deciding to refactor or platform an application to move to the cloud.

Enterprises and telecom operators are focusing on achieving a great amount of flexibility, observability, and dynamic orchestration by deploying and testing Kubernetes at the edge.

This blog discusses why legacy VNFs (Virtual Network Functions) will need to either move over to being purely container-based (CNFs) or to run alongside CNFs using approaches like Kubevirt or Kata containers.

While the concept is straightforward, Horizontal pod autoscaling requires time and effort to implement. More often than not, applications need to undergo load testing to tune HPA configuration to determine the best scaling and capacity management settings.

While the concept is straightforward, Horizontal pod autoscaling requires time and effort to implement. More often than not, applications need to undergo load testing to tune HPA configuration to determine the best scaling and capacity management settings.