Spot.io VS Google Cloud Run

Spot.io Reviews

Google Cloud Run Reviews

Spot.io mentions (1)

• Nvidia to Acquire Run:AI

  +1 In my previous stint, I had worked with Spot (https://spot.io/) as one of our vendors. Absolutely great product, amazing customer support and ability to take feature requests, or otherwise address our pain points quickly and effectively. - Source: Hacker News / 18 days ago

• Is k8s Kops preferable than eks?

  FWIW, I am also a big spot.io fan for our workload. During the holidays I run 30-50% spot instances and run 100% spot most of the year. Source: over 1 year ago

• Is there anything else we can use beside tags and Cost Explorer to keep track of costs?

  Also, you definitely should look into Reservations, and (sale pitch coming) Spot can help you manage those. Source: over 1 year ago

• AWS spot instances for CI jobs

  All of this is on spot-instances. We used spot.io (I believe the product is called "Ocean") and they basically took care of all the backend logic to make spot-instances available for the ECS cluster. Source: about 2 years ago

• If I just focus on K8S does the Cloud provider matter much (GKE, EKS etc)

  Does cloud provider matter? I would say/think so. Not just cloud provider, but further more, how you set it up, which begets cloud provider. Are you setting it up with only the aws cli? Or did you terraform it? Maybe you chose a particular terraform module or maybe you used eksctl. Maybe you used kops or kubeadm. All these things matter when you get to cluster autoscaling, tainting particular node types to... Source: almost 3 years ago

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 / 10 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 / 10 months ago