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Based on our record, Google Cloud Run seems to be a lot more popular than CTO.ai. While we know about 83 links to Google Cloud Run, we've tracked only 3 mentions of CTO.ai. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Happy new year and I hope you all had great holidays! Let's start the year with a fresh new Hand-On session, where you can learn how to create a customizable developer workflow, using a Developer Control Plane, developed by CTO.ai. - Source: dev.to / over 1 year ago
I'm just passing by to invite you all to my very first webinar at CTO.ai, which I'll talk about How a Composable Developer Platform Simplifies Ops for Devs. - Source: dev.to / over 1 year ago
CTO.ai also have an open source project that you can contribute. Feel free to code and share your know-how on it. Visit our workflows-sh repository to see the code. - Source: dev.to / over 1 year ago
In 2019, Google announced Cloud Run. This was, in essence, a managed Knative. Now, Cloud Run doesn't run on Kubernetes, but it is Knative Serving API compliant. This means that you could take a standard Knative YAML manifest and use it to deploy your containers to Cloud Run with no issue. - Source: dev.to / about 4 hours ago
Examples for products in this category are: Google Cloud Run, AWS App Runner, Azure Container Apps. Each has different scalability, cost, and integration trade-offs. - Source: dev.to / 3 months ago
Cloud Run is a managed platform that enables you to run container based workloads on top of Google infrastructure. Cloud Run automates many of the above steps and allows you to focus on developing and deploying updates to your application. - Source: dev.to / 4 months ago
Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 9 months ago
The quickest way is to deploy to Cloud Run. The service will use Dockerfile to build the production image. You can even omit the GOOGLE_APPLICATION_CREDENTIALS env var as these are in GCP’s projects by default. - Source: dev.to / 10 months ago
Serverless - Toolkit for building serverless applications
AWS Lambda - Automatic, event-driven compute service
Netlify Build Plugins - Optimize your site & boost developer workflow at every build
Spot.io - Build web, mobile and IoT applications using AWS Lambda and API Gateway, Azure Functions, Google Cloud Functions, and more.
Serverless.page - Serverless SaaS is aiming to be the perfect starting point for your next React app to build full-stack applications. Save time and skip implementing authentication, payments, teams, etc.
Fission.io - Fission.io is a serverless framework for Kubernetes that supports many concepts such as event triggers, parallel execution, and statelessness.