CTO.ai, a provider of developer
workflow and automation tools, announced the launch of its serverless
Kubernetes platform that makes it easy for developers to deploy and manage
their cloud native applications. 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. The CTO.ai platform was created to address the estimated
$300 billion lost in developer productivity every year, much of
which comes from complex modern cloud tooling.
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.
"Our platform is the first in
the Kubernetes market to go to this length in prioritizing a complete and
intuitive experience for developers that allows operations teams to still
harness the full capabilities of Kubernetes. We created it so that developers
can focus on actually developing applications, not operations," said Kyle
Campbell, founder and CEO of CTO.ai. "We love Kubernetes, but anyone with
experience knows that it can be complex to manage and scale. Our platform
addresses this by providing software teams of any size with an unmatched
"PaaS-like" developer experience for their cloud native application development
workflows."
The CTO.ai platform enables
developers to easily manage all of their CI/CD, staging, and production systems
on top of a shared Kubernetes cluster, without forcing them to manage
Kubernetes directly. As deployments scale, companies have the option to offload
their cost of compute to public cloud providers like AWS via the CTO.ai service
mesh, which enables them to bring down their cost to scale and internalize
their infrastructure operations directly. The platform also monitors delivery
workflows and provides stakeholders delivery insights so they can better
understand their operational cadence for estimation or planning. Insights are
calculated in real time from events that happen across their workflow systems
and this enables teams to measure important metrics like deployment status,
velocity, and stability.
The CTO.ai mission is to
simplify adoption of Kubernetes for developers, enabling them to make use of
world class tooling but without being forced to compete for scarce DevOps
talent to do so. From startups to enterprises, development teams at all levels
can benefit from the efficiencies delivered by the CTO.ai platform. It enables
a consolidated strategy for delivery systems and provides data-driven insights
into delivery cadence. Optimized for fast-paced product delivery, the CTO.ai
platform helps startups speed time-to-market since it doesn't require the
support of hard-to-hire DevOps engineers. Enterprises can accelerate their
digital transformation and lower their cost of digital teams by consolidating
their delivery systems and adopting a data-driven approach to development.
CTO.ai has been developing this
unique platform over the past three years with support and input from the
DevOps teams at venture funded startups such as Axial, TrueBill, Cedar,
YellowDig, and Remine, as well as others in the DevOps community.
"Having this technology
available is going to make it easier to develop dev operations around new
systems, and it's definitely going to be a big advantage for us going forward,"
said Zack Weheim, director of engineering at Axial. "Without CTO.ai, we would
have to adopt the bare minimum tooling. Anything new would have to be written
in a language our team was familiar with and we'd be running scripts manually."
Pricing and Availability
Deploying the first application
using the CTO.ai platform is free and includes hosting for the CI/CD pipeline,
as well as GitOps and ChatOps workflows. As deployments scale, services for
managed application deployments are $19 per service per month; pipelines to
build, test, and release with CI/CD are $14 per service per month; and custom
GitOp and SlackOps workflows are $7 per service per month. Data insights to
measure delivery across all tools is $99 per team per month. Free support is
available via Slack and email. The growing CTO.ai Slack community has more than
700 developers.