Google Cloud Run VS Cast.ai

Google Cloud Run Reviews

Cast.ai Reviews

Google Cloud Run mentions (82)

• The 2024 Web Hosting Report

  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

• How to deploy a Django app to Google Cloud Run using Terraform

  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

• Golden Ticket To Explore Google Cloud

  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

• Ultimate Guide to User Authorization with Identity Platform

  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 / 9 months ago

• Reduce memory usage of NodeJS apps inside Docker

  In our company we use Google Cloud Run to deploy web applications, and every app is built into a docker image. For now we use the default memory limit by Cloud Run which is 256 MB per container. Recently we started to notice that the part of applications go beyond this limit, causing a container to restart and in some cases even resulting to downtime of a service. - Source: dev.to / 9 months ago

Cast.ai mentions (24)

• What is the role of QoS for Pods?

  There are tools CastAI (https://cast.ai/) and KubeCost (https://www.kubecost.com/) which helps you get these values. I haven't tried it personally, but they are promising. There are other tools as well. One of the approach OP suggested, monitor the values over a period of time to determine the right requests value, is really good one. I would modify it a bit. Generally take the p95 value for requests and 1.5-2x... Source: 10 months ago

• Kubernetes Cost Monitoring

  Not sire if this helps but someone just showed me this free tool that looks at cost for Kube https://cast.ai/. Source: about 1 year ago

• Is k8s Kops preferable than eks?

  Curious about what about cast.ai sets it apart for you? I went with spot because it is owned by a big company and knew it wasn't going to disappear. I think cast was still in invite only mode, as well. Source: over 1 year ago

• Scheduled spindown/up of clusters?

  I found that cast.ai seems to have this functionality but am wondering if there is a free option. Also pursuing gMaestro but they're not available on arm64 yet. Source: over 1 year ago

• Reducing AWS costs?

  If you're using Kubernetes, CAST AI is the fastest way to significantly reduce your compute bill and keep it there. It manages compute capacity automatically and has dedicated support to get you started even faster. The best part - Kubernetes cost monitoring and security insights are free. Source: over 1 year ago