Google Cloud Dataproc
Amazon EMR
Google BigQuery
HortonWorks Data Platform
Databricks
Google Cloud Dataflow
MapR Converged Data Platform
Snowflake
Kubernetes
Rancher
Docker
Helm.sh
Google Kubernetes Engine
Docker Swarm
Docker Compose
Portainer
Google Cloud Dataproc KubernetesBased on our record, Kubernetes seems to be a lot more popular than Google Cloud Dataproc. While we know about 283 links to Kubernetes, we've tracked only 3 mentions of Google Cloud Dataproc. 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.
I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
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
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
In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy. - Source: dev.to / 4 days ago
Are you looking for a hassle-free way to deploy Moodle™ Learning Management Systems (LMS) on Kubernetes? Look no further! Krestomatio presents the LMS Moodle Operator, an open-source Kubernetes Operator designed to simplify the deployment and management of Moodle instances on Kubernetes clusters. Let's dive into what makes this tool a great choice for Moodle administrators and developers alike. - Source: dev.to / 5 days ago
Securing access to your Kubernetes clusters is crucial as inadequate security measures can lead to unauthorized access and potential data breaches. However, navigating the complexities of Kubernetes access security, especially when setting up strong authentication, authorization, and network policies, can be challenging. - Source: dev.to / 5 days ago
Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI... - Source: dev.to / 11 days ago
To learn more, you can start by exploring the official Kubernetes documentation. - Source: dev.to / 24 days ago
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Rancher - Open Source Platform for Running a Private Container Service
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...
Helm.sh - The Kubernetes Package Manager