Google Kubernetes Engine Reviews

Name: Google Kubernetes Engine
Brand: Google
Rating: 4 (34 reviews)

4.0 out of 5

34 reviews
94% willing to recommend

What is Google Kubernetes Engine?

Kubernetes Engine is a managed, production-ready environment for deploying containerized applications. It brings our latest innovations in developer productivity, resource efficiency, automated operations, and open source flexibility to accelerate your time to market.

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Google Kubernetes Engine is the #8 ranked solution in Container Management software. PeerSpot users give Google Kubernetes Engine an average rating of 8.0 out of 10. Google Kubernetes Engine is most commonly compared to Prisma Cloud by Palo Alto Networks: Google Kubernetes Engine vs Prisma Cloud by Palo Alto Networks. Google Kubernetes Engine is popular among the large enterprise segment, accounting for 71% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 23% of all views.

Buyer's Guide

Google Kubernetes Engine

October 2024

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Featured reviews

Abhilash Gopidas

Deployment Manager at HealthEdge Software, Inc.

We use the solution for running microservices for different healthcare workflows like authorization claims and adjudication with no downtime and to do continuous deployments Earlier, we used an on-premise solution, so we faced downtimes. It was a monolithic architecture. Google Kubernetes Engine…

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Javad_Talebi

Cloud architect at Vodafone

It is good for testing and training purposes. In terms of integration with other Google Cloud services, I use specific patterns like event-driven architectures or middleware solutions such as Kafka for system integration In my experience, GKE is a good platform for managing microservices on the…

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Tichaona Gandhle

Chief Technology Director at Mayhem Shield

I am using the latest version of Google Kubernetes Engine. Google Kubernetes Engine is deployed on-cloud in our organization. I would advise users to pay attention to the vendor lock-in. Sometimes, they reduce access to infrastructure. I would pay much attention to implementing the solution to have better visibility of the performance issues, especially concerning direct access to virtual machines. Google Kubernetes Engine is pretty simple to use. It is pretty good as long as you use the solution within Google Cloud. The solution's ease of use comes with the cost. Whoever wants to use the solution must weigh what's more important to them: the cost they'll pay to Google or the cost they'll pay their staff to make it work as well as they need. Overall, I rate Google Kubernetes Engine an eight out of ten.

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Google Kubernetes Engine mindshare

As of November 2024, the mindshare of Google Kubernetes Engine in the Container Management category stands at 3.0%, down from 3.6% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Container Management

Key learnings from peers

Last updated Oct 13, 2024

Valuable Features

Google Kubernetes Engine offers simplified deployment, effortless scalability, strong auto-scaling, containerization, and seamless management. Its command-line interface and user interfaces enhance user experience. Managed hosting lightens infrastructure load, while rapid scaling supports traffic fluctuations. The integration with DevOps tools and microservices, backed by robust security features, improves workflows. Cross-cloud compatibility and regional flexibility are crucial, along with user-friendly GUI for deployment and configuration. Its stability and open global network integration enhance operational efficiency.

"The most beneficial feature is the ability to separate each project and manage permissions more effectively."
"The initial setup process is simpler and more user-friendly than other cloud providers."
"Stability is perfect for me."

Room for Improvement

Google Kubernetes Engine needs improvements in security features, interface usability, and network configuration. Documentation requires enhancements for clarity. Users seek better integration with third-party tools, improved monitoring capabilities, and an efficient backup system. Stability compared to competitors is a concern, and users desire a more competitive pricing model. Improvements in visibility, notifications, and support services are also highlighted. Additionally, users find managing cluster updates, auto-scaling, and Terraform integration complex.

"The primary area for improvement would be the complexity involved when working with Google Kubernetes Engine, especially when using Terraform."
"The product's integration with third-party vendors needs improvement."
"The pricing could be more competitive. It should be cheaper."

ROI

Many find a positive ROI with Google Kubernetes Engine, especially in cost-effectiveness and improved operations. It helps reduce manpower needs, offering strong efficiency. However, its ROI can diminish as competitors advance. Particularly for startups, expenses on various associated services require careful consideration. Some see substantial value, while others find certain costs higher compared to AWS. Users appreciate ease in multi-cloud integration, benefiting diverse needs.

Pricing

Google Kubernetes Engine offers competitive pricing without licensing fees, but costs can accumulate based on usage, especially for regional clusters prioritizing high availability. Users pay for VM resources like CPU, RAM, and additional capacities such as GPUs. While the base cost is around $1000 to $3000 monthly, costs can rise with high requirements or additional resources. Options like GKE Autopilot exist for potential savings. Some find it more expensive compared to alternatives like AWS or OpenShift, with pricing often rated favorably in the mid-range.

"The tool's licensing costs are yearly."
"Initially, Google Kubernetes Engine was a little bit cheaper, but now its prices have been increased compared to the pricing model and the features that are made available by its competitors."
"I rate the product's price a six on a scale of one to ten, where one is low price and ten is high price. The product is competitively priced."

Popular Use Cases

Google Kubernetes Engine is used for deploying applications, microservices, and managing Docker containers. It supports CI/CD pipelines, handles big data workloads, and serves cloud-native business applications. Users implement it for authorization, service deployment, and containerizing. It enables orchestration, scalability, and resilience, integrates with cloud services, and manages data workloads. Kubernetes Engine is favored for AI models, anomaly detection, transforming monolithic apps to containers, and managing microservices in production clusters.

Service and Support

Customer service and support for Google Kubernetes Engine vary. Some users find support effective with fast response times and AI assistance, while others report challenges, limited availability, or slow responses. Many users resolve issues independently, relying on forums or company expertise. There are mixed experiences regarding the professionalism and availability of customer service, with some suggesting improvement, especially in response time. Upper management often manages tech support escalations when needed.

Deployment

Users experience varied levels of complexity during Google Kubernetes Engine's initial setup. Many find it straightforward, requiring minimal time and leveraging Google's automation tools. Some encounter difficulties with complex configurations, network setups, and integrating with existing systems. Automation and tools like Terraform facilitate deployment, but challenges arise with advanced requirements. There are security concerns regarding public cluster deployment. Despite some hurdles, overall sentiment indicates that setup is generally manageable with the right expertise and resources.

Scalability

Users are satisfied with Google Kubernetes Engine's scalability. It supports effortless horizontal and vertical scaling, allowing for dynamic adjustments based on demand. The auto-scaling feature, often automated, is praised for responsiveness and efficiency. Some users note complexity with cluster-based applications, requiring more documentation. Google Kubernetes Engine is highly favored for its capacity to handle both microservice and machine learning workloads, with many users giving high ratings for scalability reflecting the Engine's robust performance.

Stability

Google Kubernetes Engine has a positive reputation for stability. Many highlight its reliability, scalability, and robust architecture. Users appreciate the consistent environment Google offers, making cloud transitions straightforward. Regular updates keep stability issues minimal, and versions align with current technology. Some mention challenges with complex deployments but acknowledge improvements over time. Ratings for stability often range between eight to nine out of ten, reflecting high satisfaction levels. Occasional issues are noted but don't significantly impact the user experience.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Google Kubernetes Engine Buyer's Guide for additional reliable information.