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Gunicorn is a popular application server for Python applications. It uses the Web Server Gateway Interface (WSGI), which defines how a web server communicates with and makes requests to a Python application. In production, Gunicorn is often deployed behind an NGINX web server. NGINX proxies web requests and passes them on to Gunicorn worker processes that execute the application.

Today, we announced our $40M funding round led by Telstra Ventures. We have been working with Telstra as a customer for many years. When Telstra Ventures, who was familiar with Telstra’s success in using Rancher and Kubernetes, approached us for a potential funding round, it was a no-brainer. A leading telco like Telstra exemplifies Rancher’s vision to Run Kubernetes Everywhere.

Netdata contributors have greatly influenced the growth of our company and are essential to our success. The time and expertise that contributors volunteer are fundamental to our goal of helping you build extraordinary infrastructures. We highly value end-user feedback during product development, which is why we’re looking to involve you in progressing our machine learning (ML) efforts!

This blog post is an adaptation of a talk I gave at the Cloud Native meetup in Birmingham in the UK in February 2020. It details the advantages of k3s, a lightweight Kubernetes distribution we have deployed as part of a managed Kubernetes service. Developed by Rancher Labs, k3s allows for quick deployments for testing, CI/CD runs and getting to grips with Kubernetes without having to commit to large-scale infrastructure and the costs that would bring.

AI and Machine Learning are becoming critical differentiators in the technology landscape. By their nature, AI and ML are computation hungry workloads. They require best-in-class distributed computing environments to thrive. AI and ML present a perfect use case for Kubernetes, the distributed computing platform engineered at Google to run their massive workloads.