Vancouver’s CTO.ai has announced the launch of its serverless Kubernetes platform that makes it easy for developers to deploy and manage their cloud native applications.
The new platform release is trending on ProductHunt this morning where CTO.ai founder and CEO Kyle Campbell called the new version “lightyears beyond our last platform release.”
Software teams typically spend inordinate amounts of time and money creating their own custom workflow tools or must buy several specialized tools that need to be integrated to make managing Kubernetes easier for their developers.
The CTO.ai platform eliminates this issue by enabling software developers to easily adopt Kubernetes at any stage of development, without the exponential cost of retraining, hiring, or manually building the developer workflows needed to operate Kubernetes efficiently.
Startups can use the platform to host a monolith or microservice based application; enterprises can layer the platform into their own private cloud cluster using a service mesh.
This powerful, yet easy-to-use, platform makes product delivery teams more efficient and eliminates the complexity experienced by developers when applications are deployed on top of a self-managed Kubernetes cluster.
CTO.ai is a provider of developer workflow and automation tools and their platform was created to address the estimated $300 billion lost in developer productivity every year, much of which comes from complex modern cloud tooling.