Audience
Organizations that need to manage, deploy, and scale applications in containers
About Google Kubernetes Engine (GKE)
Run advanced apps on a secured and managed Kubernetes service. GKE is an enterprise-grade platform for containerized applications, including stateful and stateless, AI and ML, Linux and Windows, complex and simple web apps, API, and backend services. Leverage industry-first features like four-way auto-scaling and no-stress management. Optimize GPU and TPU provisioning, use integrated developer tools, and get multi-cluster support from SREs. Start quickly with single-click clusters. Leverage a high-availability control plane including multi-zonal and regional clusters. Eliminate operational overhead with auto-repair, auto-upgrade, and release channels. Secure by default, including vulnerability scanning of container images and data encryption. Integrated Cloud Monitoring with infrastructure, application, and Kubernetes-specific views. Speed up app development without sacrificing security.
Other Popular Alternatives & Related Software
Amazon Elastic Container Service (Amazon ECS)
Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service. Customers such as Duolingo, Samsung, GE, and Cook Pad use ECS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. ECS is a great choice to run containers for several reasons. First, you can choose to run your ECS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, ECS is used extensively within Amazon to power services such as Amazon SageMaker, AWS Batch, Amazon Lex, and Amazon.com’s recommendation engine, ensuring ECS is tested extensively for security, reliability, and availability.
Learn more about Amazon Elastic Container Service (Amazon ECS)
AWS Fargate
AWS Fargate is a serverless compute engine for containers that works with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). Fargate makes it easy for you to focus on building your applications. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Fargate allocates the right amount of compute, eliminating the need to choose instances and scale cluster capacity. You only pay for the resources required to run your containers, so there is no over-provisioning and paying for additional servers. Fargate runs each task or pod in its own kernel providing the tasks and pods their own isolated compute environment. This enables your application to have workload isolation and improved security by design.
Learn more about AWS Fargate
Ambassador
Ambassador Edge Stack is a Kubernetes-native API Gateway that delivers the scalability, security, and simplicity for some of the world's largest Kubernetes installations. Edge Stack makes securing microservices easy with a comprehensive set of security functionality, including automatic TLS, authentication, rate limiting, WAF integration, and fine-grained access control.
The API Gateway contains a modern Kubernetes ingress controller that supports a broad range of protocols including gRPC and gRPC-Web, supports TLS termination, and provides traffic management controls for resource availability.
Why use Ambassador Edge Stack API Gateway?
- Accelerate Scalability: Manage high traffic volumes and distribute incoming requests across multiple backend services, ensuring reliable application performance.
- Enhanced Security: Protect your APIs from unauthorized access and malicious attacks with robust security features.
- Improve Productivity & Developer Experience
Learn more about Ambassador
Telepresence
Telepresence streamlines your local development process, enabling immediate feedback. You can launch your local environment on your laptop, equipped with your preferred tools, while Telepresence seamlessly connects them to the microservices and test databases they rely on. It simplifies and expedites collaborative development, debugging, and testing within Kubernetes environments by establishing a seamless connection between your local machine and shared remote Kubernetes clusters.
Why Telepresence:
Faster feedback loops: Spend less time building, containerizing, and deploying code. Get immediate feedback on code changes by running your service in the cloud from your local machine.
Shift testing left: Create a remote-to-local debugging experience. Catch bugs pre-production without the configuration headache of remote debugging.
Deliver better, faster user experience: Get new features and applications into the hands of users faster and more frequently.
Learn more about Telepresence
Integrations
Company Information
Google
Founded: 1998
United States
cloud.google.com/kubernetes-engine
Videos and Screen Captures
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Product Details
Platforms Supported
Cloud
Windows
Linux
Training
Documentation
Live Online
Support
24/7 Live Support
Online
Google Kubernetes Engine (GKE) Frequently Asked Questions
Q: What kinds of users and organization types does Google Kubernetes Engine (GKE) work with?
Google Kubernetes Engine (GKE) works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Google Kubernetes Engine (GKE) support in their product?
Google Kubernetes Engine (GKE) supports these languages: English.
Q: What kind of support options does Google Kubernetes Engine (GKE) offer?
Google Kubernetes Engine (GKE) offers support via 24/7 live support and online.
Q: What other applications or services does Google Kubernetes Engine (GKE) integrate with?
Google Kubernetes Engine (GKE) integrates with: Actian Ingres, Akto, Ant Media Server, Anthos, Apono, Aqua, Beats, Calico Cloud, CAST AI, Cequence Security, Chronicle SOAR, Cilium, CircleCI, CloudCasa, Cloudify, CloudNatix, CloudPlex, Clutch, Container Registry, DataClarity Unlimited Analytics, Datadog, Dataplane, Google Deep Learning Containers, and Elastic Observability and more.
Q: What type of training does Google Kubernetes Engine (GKE) provide?
Google Kubernetes Engine (GKE) provides training in the form of documentation and live online.
Google Kubernetes Engine (GKE) Product Features
Container Management
Access Control
Supported
Application Development
Supported
Automatic Scaling
Supported
Build Automation
Supported
Container Health Management
Supported
Container Storage
Supported
Deployment Automation
Supported
File Isolation
Supported
Hybrid Deployments
Supported
Network Isolation
Supported
Orchestration
Supported
Shared File Systems
Supported
Version Control
Supported
Virtualization
Supported
Google Kubernetes Engine (GKE) Additional Categories
Google Kubernetes Engine (GKE) Verified User Reviews
Write a Review-
Probability You Would Recommend? 10 out of 10
"Best for containerization" 5 out of 5 stars Posted 2020-04-10
Pros: Easy to use and remember commands.
Deploying is very user friendly.
Quickly start clusters to deploy our containerized apps.
Auto Scaling and Load Balancing are also available.Cons: I'm a beginner learning to work with GKE and have found no issues yet on Google Kubernetes Engine.
Overall: It's good to have an enterprise software for managing and deploying Kubernetes Engine. To date, I'm highly satisfied with the working and GKE.
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