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Google Kubernetes Engine (GKE) Samples repository is a comprehensive collection of sample applications and reference implementations designed to demonstrate how to build, deploy, and manage workloads on Google Kubernetes Engine (GKE). It serves as a practical companion to official GKE tutorials, providing real, runnable code that illustrates how containerized applications are packaged, deployed, and scaled within Kubernetes clusters. The repository is organized into multiple categories such as AI and machine learning, autoscaling, networking, observability, security, and cost optimization, allowing developers to explore specific use cases and architectural patterns. It includes both simple quickstart examples, like basic “hello world” applications, and more advanced scenarios such as migrating monolithic applications to microservices, implementing service meshes, and configuring custom autoscaling metrics.
Features
- Collection of sample applications for Google Kubernetes Engine
- Coverage of multiple domains including AI, networking, security, and observability
- Quickstart examples and advanced production scenarios
- Dockerfiles and Kubernetes manifests for deployment workflows
- Integration with Google Cloud services like Pub/Sub and monitoring
- Examples for autoscaling, microservices, and service mesh architectures
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