Google Cloud Dataproc VS Google Kubernetes Engine

Google Cloud Dataproc Reviews

Google Kubernetes Engine Reviews

Google Cloud Dataproc mentions (3)

• Connecting IPython notebook to spark master running in different machines

  I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago

• Why we don’t use Spark

  Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / almost 2 years ago

• Data processing issue

  With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

Google Kubernetes Engine mentions (42)

• Using NetBird for Kubernetes Access

  Set up a remote Kubernetes cluster. For this tutorial, Google Kubernetes Engine (GKE) was chosen; however, feel free to use any remote Kubernetes cluster. - Source: dev.to / 6 days ago

• The 2024 Web Hosting Report

  Docker swarm still exists, it still works, and some of these other container orchestrators are still hanging on, but for the most part, you’re using Kubernetes if you’re doing this stuff at work. Generally it's well-understood that kubernetes is hard to get right, and so most people use it via a managed provider like Elastic Kubernetes Service from AWS, Azure Kubernetes Service from MSFT, or Google Kubernetes... - Source: dev.to / 3 months ago

• 15 Options To Build A Kubernetes Playground (with Pros and Cons)

  Google Kubernetes Engine (GKE) Google Kubernetes Engine (GKE) is a managed Kubernetes service on the Google Cloud Platform (GCP). It offers a fully managed, scalable, and secure environment for running containerized applications with Kubernetes. GKE provides seamless integration with other GCP services like Google Cloud Storage, Stackdriver Logging, and Cloud IAM, making it easy to build and deploy applications on... - Source: dev.to / 3 months ago

• Creating Kubernetes Operators with operator-sdk

  Kubernetes is a project created by Google in mid-2015 that quickly became the standard for managing container execution. You can host it on your machines or use a solution delivered by one of the big cloud players like AWS, Google, and DigitalOcean. - Source: dev.to / 8 months ago

• Cuber: Deploy your apps on Kubernetes easily

  > What does "Deploy on Kubernetes" mean? What kind of a question is this? It means to deploy "on Kubernetes". It doesn't mean to run a script on a server. It means you need a Kubernetes cluster where you have deploy permissions. Then you can deploy on Kubernetes. > Where do I get a button "Rent a Kubernetes"? https://cloud.google.com/kubernetes-engine/. - Source: Hacker News / 8 months ago