The exponential growth in data-driven technologies, such as High-Performance Computing (HPC) and Artificial Intelligence (AI), has resulted in an unprecedented demand for computational resources and high-speed connectivity. Cloud infrastructures have become the backbone of these advancements, enabling scalable, on-demand access to computing power. However, this surge in computational requirements and low-latency connections has also led to significant increases in energy consumption, posing a critical challenge to sustainability.  In the recent landscape of cloud computing, the emergence and popularity of containers has significantly revolutionized application development and deployment. Nonetheless, this evolution meant a significant increase in power consumption within Data Centers, currently representing 2% of the world’s energy consumption, and recent forecasts expect it to grow even further to at least 8% by 2030. The close interplay between orchestration and networking is a major challenge towards sustainable, low latency 6G services. Further research is needed to understand the interoperability between orchestration mechanisms and recent networking trends. This proposal pushes towards distributed cloud-native infrastructures to support low latency and energy-efficient service delivery by integrating novel orchestration practices with advanced networking trends.