Cloud-Native Architecture

By focusing on integration and extensibility, CNOE empowers organizations to build their own, customized internal developer platforms (IDPs) using readily available open-source tools.

The Generative AI (GenAI) landscape is rapidly evolving, and the cloud-native GenAI stack is the foundation for building, deploying, and scaling these powerful AI models. This blog dives into the…

CNCF published its guidance on cloud native artificial intelligence (CNAI). The white paper discusses what CNAI is and the opportunities it presents. It also details challenges associated with CNAI. 

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.

Cluster autoscaling is typically the easiest autoscaler to configure and to use. However there may be situations where it may not be the best option for an application.