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.
Integration with Google Kubernetes Engine (GKE), which supports up to 65,000 nodes per cluster, facilitating robust AI infrastructure. - Source: dev.to / 3 months 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 / 5 months 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 / 6 months 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 / 9 months 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 1 year 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 1 year ago
In this article, we’ll 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 1 year 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 1 year ago
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 / over 1 year 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 1 year 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 2 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 2 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 2 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 2 years ago
Apply changes to Kubernetes cluster (GKE) with kubectl. Source: about 2 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 2 years ago
Portability: Container Images are highly portable, and can be easily deployed on different platforms; a Docker image can be deployed on any Container Engine that supports it (e.g., Docker, Kubernetes, AWS ECS, AWS EKS, Microsoft AKS, Google Kubernetes Engine, etc). - Source: dev.to / over 2 years ago
Google is the original creator of Kubernetes and continues to be a significant contributor to the project. Google offers Kubernetes as a service through its Google Kubernetes Engine (GKE), which allows users to easily create and manage Kubernetes clusters on the Google Cloud Platform. Google also provides support and tools for using Kubernetes on its cloud platform and offers training and certification for... - Source: dev.to / over 2 years ago
We wanted to showcase OLaC principles with a real-life example using modern cloud-native tooling...Which means using Kubernetes for our cloud infrastructure with Google Cloud’s Kubernetes offering, GKE. Now, since we are good practitioners of OLaC and SRE, we won’t just be setting things up through the clickity click of a UI. No sirreee. Instead, we’ll be #automatingAllTheThings using HashiCorp Terraform.... - Source: dev.to / over 2 years ago
This is what managed K8s cloud services (like GKE do. You still need to use kubectl but don't have to setup the clusters yourself. Source: over 2 years ago
Google Kubernetes Engine provides a similar experience in the context of Google Cloud Computing. It’s a completely managed Kubernetes platform, with emphasize on auto scaling, security features such as container scanning, and a marketplace for prebuild Kubernetes applications. An additional addon is Google Athos, a management environment that allows GKS applications to run in non-Google environments, including... - Source: dev.to / over 2 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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Is Google Kubernetes Engine good? This is an informative page that will help you find out. Moreover, you can review and discuss Google Kubernetes Engine here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
