Table of contents
Managed Service
GKE is a fully managed service, which means Google takes care of tasks like provisioning, maintenance, and updates of the cluster, reducing the operational burden on users.
Scalability
GKE offers robust scalability options, allowing you to easily scale your applications up or down based on demand. This is facilitated through auto-scaling features for both nodes and pods.
Integration with Google Cloud Services
GKE integrates seamlessly with other Google Cloud services such as Cloud Storage, BigQuery, and more, providing a streamlined experience for leveraging multiple cloud tools.
Security
GKE offers advanced security features like private clusters, and integrates with Google Cloud IAM, which allows for fine-grained access control, helping to secure your Kubernetes environment.
Ease of Use
GKE's comprehensive dashboard, command-line interface, and supporting documentation make it easy to deploy, manage, and monitor Kubernetes clusters.
Global Reach
With GKE, you can deploy clusters across multiple regions and zones, giving you the ability to build highly available, geographically dispersed applications.
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Overall, many users find GKE to be a powerful and reliable platform for container orchestration, especially when leveraging other Google Cloud Platform services.
We have collected here some useful links to help you find out if Google Kubernetes Engine is good.
Check the traffic stats of Google Kubernetes Engine on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Google Kubernetes Engine on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Google Kubernetes Engine's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Google Kubernetes Engine on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Google Kubernetes Engine on Reddit. This can help you find out how popualr the product is and what people think about it.
Have you ever tried to coordinate 84,000 anything? I helped launch Google Kubernetes Engine. Coordinating 1,000 nodes was hard. 84,000 storage accounts? That's not engineering. That's prayer. - Source: dev.to / 2 months ago
When Pokรฉmon GO launched, the world went wild. At Google, we watched as our product, Google Kubernetes Engine, handled a scale we had only theorized about. The game shattered every record for a consumer workload and became a massive success story for Kubernetes and cloud-native orchestration. - Source: dev.to / 2 months ago
TPU 8t and TPU 8i will be available to Cloud customers later in 2026. You can request more information now to prepare for their general availability. The chips are integrated into Google's AI Hypercomputer stack, supporting JAX, PyTorch, vLLM, and XLA. Deployment options range from Vertex AI managed services to GKE for teams that want infrastructure-level control. - Source: dev.to / 3 months ago
Teams that need truly stateful workloads (ML model serving with warm caches that must survive across deploys, game servers with persistent connections beyond 60 minutes) find GKE's persistent volumes and StatefulSets a more honest fit. - Source: dev.to / 4 months ago
In this section, we'll explore the scenario of connecting to a container that's running within a Kubernetes cluster pod. For demonstration purposes, we're using the Google Kubernetes Engine (GKE) service. - Source: dev.to / about 1 year ago
Integration with Google Kubernetes Engine (GKE), which supports up to 65,000 nodes per cluster, facilitating robust AI infrastructure. - Source: dev.to / over 1 year ago
In my previous post, we explored how LangChain simplifies the development of AI-powered applications. We saw how its modularity, flexibility, and extensibility make it a powerful tool for working with large language models (LLMs) like Gemini. Now, let's take it a step further and see how we can deploy and scale our LangChain applications using the robust infrastructure of Google Kubernetes Engine (GKE) and the... - Source: dev.to / over 1 year ago
Kubernetes cluster: You need a running Kubernetes cluster that supports persistent volumes. You can use a local cluster, like kind or Minikube, or a cloud-based solution, like GKE%20orEKS or EKS. The cluster should expose ports 80 (HTTP) and 443 (HTTPS) for external access. Persistent storage should be configured to retain Keycloak data (e.g., user credentials, sessions) across restarts. - Source: dev.to / over 1 year ago
In a later post, I will take a look at how you can use LangChain to connect to a local Gemma instance, all running in a Google Kubernetes Engine (GKE) cluster. - Source: dev.to / almost 2 years ago
Google Kubernetes Engine (GKE) is another managed Kubernetes service that lets you spin up new cloud clusters on demand. It's specifically designed to help you run Kubernetes workloads without specialist Kubernetes expertise, and it includes a range of optional features that provide more automation for admin tasks. These include powerful capabilities around governance, compliance, security, and configuration... - Source: dev.to / about 2 years ago
Cloud Clusters: If you'd rather work in a cloud environment, consider platforms like Google Kubernetes Engine (GKE) or Amazon EKS for managed Kubernetes clusters. - Source: dev.to / about 2 years ago
In this article, weโll look at one of the ways to monitor the InterSystems IRIS data platform (IRIS) deployed in the Google Kubernetes Engine (GKE). The GKE integrates easily with Cloud Monitoring, simplifying our task. As a bonus, the article shows how to display metrics from Cloud Monitoring in Grafana. - Source: dev.to / about 2 years ago
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 / about 2 years ago
Docker swarm still exists, it still works, and some of these other container orchestrators are still hanging on, but for the most part, youโre using Kubernetes if youโre 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 / over 2 years ago
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 / over 2 years ago
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 / almost 3 years ago
> 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 / almost 3 years ago
The rest of this article will utilize Calico. Between Calico and Flannel, Calico would definitely be the more involved solution. That said, if you're looking towards learning kubernetes for a more cloud oriented environment GKE uses it and the AWS VPC CNI now has Kubernetes Network Policy support. This makes the networking concepts somewhat more close. - Source: dev.to / almost 3 years ago
I need to authenticate to a Kubernetes cluster provisioned in GKE using the Kubernetes Python client and the Google Cloud python client. I would prefer not to shell out to gcloud for several reasons:. Source: about 3 years ago
Apply changes to Kubernetes cluster (GKE) with kubectl. Source: over 3 years ago
UNIX is irrelevant on the cloud, unless one is stuck deploying legacy workloads on VMs, this is what we use in modern applications not stuck in the past. https://aws.amazon.com/eks/ https://azure.microsoft.com/en-us/products/kubernetes-service https://cloud.google.com/kubernetes-engine/ https://cloud.google.com/appengine https://azure.microsoft.com/en-us/products/app-service https://aws.amazon.com/lambda/... - Source: Hacker News / over 3 years ago
Google Kubernetes Engine (GKE) is a leading managed Kubernetes service provided by Google Cloud, renowned for its comprehensive features and robust infrastructure, which cater to diverse workloads and industries. Across the tech community, GKE garners positive feedback for its seamless integration with Google Cloud's ecosystem, scalability, and rich feature set, making it a favored choice among developers and enterprises venturing into container orchestration.
GKE's significance is often highlighted as it enables developers to deploy, manage, and scale containerized applications with remarkable ease. As Google was instrumental in developing Kubernetes, GKE offers inherent expertise and capabilities, ensuring users can execute Kubernetes workloads without requiring deep Kubernetes knowledge. This aspect significantly aids enterprises in reducing complexity and administrative overhead, drawing favorable comparisons to competitors like Amazon EKS and OpenShift Container Platform.
The platform's capabilities extend beyond merely hosting Kubernetes clusters; GKE incorporates powerful governance, compliance, security, and configuration management features. These capabilities facilitate robust container management, catering particularly well to organizations with demanding regulatory and security requirements.
Moreover, GKE's excellent support for advanced technologies such as AI and machine learning amplifies its utility. It supports expansive clusters accommodating up to 65,000 nodes, making it particularly appealing for high-demand applications, such as those leveraging NVIDIA GPUs for AI workloads. This scalability underscores GKE's utility in both traditional and cutting-edge technological domains.
Interoperability with other Google Cloud services further elevates GKE's appeal. Features such as integration with Google Cloud Storage, Stackdriver Logging, and Cloud IAM streamline the development and deployment processes. This interoperability, combined with the convenience of automation through Infrastructure as Code tools like Terraform, enhances the operational efficiency for DevOps teams.
Despite its numerous advantages, GKE is not devoid of complexities. Managed Kubernetes platforms, including GKE, often necessitate an understanding of Kubernetes fundamentals, as users are still required to employ tools like kubectl for certain operations. However, this is mitigated by the comprehensive documentation and support Google provides.
In summary, Google Kubernetes Engine stands as a powerful and adaptable CaaS offering well-suited to a wide range of applications, from microservices architectures to AI-powered platforms. Its integration with Google Cloud services, alongside features that simplify Kubernetes management, positions it as a popular choice among Cloud Computing and DevOps professionals aiming to leverage Kubernetes without its traditional complexities. While it faces competition from other managed Kubernetes solutions such as Amazon EKS and OpenShift, its distinguished pedigree and comprehensive feature set help maintain its strong foothold in the market.
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