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CTO.ai 2.0 — A smarter workflow for Kubernetes & Cloud Native apps
Our serverless Kubernetes platform is designed for the needs of fast moving development teams who want to focus on delivering applications, not operations.
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👋 Hello ProductHunt and thank you @hnshah for hunting us!
I’m the Founder and CEO of CTO.ai & our awesome team has been working day and night to get this new release out.
It’s lightyears beyond our last platform release & includes everything you need to easily build and release Cloud Native applications in a serverless fashion.
The CTO.ai Kubernetes PaaS is a completely reimagined serverless platform on top of k8s that is designed for fast moving development teams who want focus on delivering applications, not managing their delivery operations.
CTO.ai allows your team to:
🚀 Instantly deploy your Cloud Native microservices / web applications to a managed k8s.
📭 Setup custom domains and SSL easily using our managed Service Gateway.
🪜 Automate multi-step workflows such as build, test & release of any of your CI/CD processes.
✋ Combine GitOps with ChatOps to create powerful human in the loop workflow automation.
💪 Measure & manage all of your software delivery, without every hiring full time DevOps.
🎉 Easily trigger workflows across the entire system to anyone on your team, directly via !Slack
We also support for your favorite frameworks out of the box: Fastify, !Bolt, Express, !FeathersJS, Next, Vue, React, and many more to come. Let us know in the comments what frameworks you’d like to see next and we'll open source them soon.
Our goal is to make Cloud Native serverless simple, scalable & data-driven for startups but also for enterprise teams too. Teams who already have a Kubernetes cluster, can contact us about deploying our Service Mesh which allows us to act as a control plane and data plane for deploying workflows into your private k8s cluster.
Just head over to CTO.ai to see all of the features and get instant access to start deploying your Cloud Native Apps on our Public k8s Cloud. You can also read more on our blog.
We are on a mission to help you workflow smarter, not harder on top of Kubernetes.
It’s better to ship together,
KC
Ugh... where were you guys 3 years ago??? 😛
We’re serverless now but I think we may outgrow it soon... will absolutely check this out when some cycles free up—looks very cool!
I’m exhausted and exhilarated at the same time. We poured our blood, sweat, tears into this. So great to launch this today and hope we make some developer lives much easier by the end of the day.
Exciting times! As much as I love getting my hands dirty with Kubernetes, simplifying deployments for engineering teams with full visibility into the insights for the leaders is extremely powerful. Yes to simplifying scaffolding and DevOps and focusing on building! 💪👩💻
Really excited to share this with the world! We've put a lot of thought into how to make it easy to deploy micro-services.
We are currently using CTO.ai on my team.
It was very easy to onboard and integrate into our workflows. Easily being able to tie any workflow or script into both slack and a CLI without any of the associated overhead was an easy sell for us. We've saved a ton of time, while reducing our total overhead.
Awesome product! @devin_alldrit1 and I were looking for something just like this.
Congrats on a launch of a great product! A truly talented team of makers!
Good luck, guys!
@angelina_grischenko please do! and send them my way if they need any special support. we also have a community here: https://cto.ai/community
@katie_jameson Hey Katie, similar in spirit (both are PaaS), but also quite different in implementation. We've gone to great lengths to build what we consider a great developer experience for Kubernetes, which like other PaaS, simplifies the process of managing apps for developers. We kept hearing from customers that they wanted to move away from PaaS like Heroku + Netlify because it was too expensive as they grew but the jump to Kubernetes meant they had to absorb a lot of complexity which often resulted in hiring, retraining and retooling on top of having to give up the ease of use of their PaaS. We built CTO.ai to address both sides of this coin equally. Teams can easily get started deploying to our managed cloud and then move to their own private k8s as they grow. This means they get the simple and intuitive PaaS experience for their developers but also have the benefit of k8s being portable, so they can eventually setup their own private clusters on AWS, GCP and Azure to benefit from the lower prices of commodity infrastructure at major cloud providers, as they scale.
Wow, looks great! QQ, what's the 4x4 method and how does it work with CTO.ai Insights?
Shisharka Land