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Kate Osborn
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docs/developer/design-principles.md

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# Design Principles
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The aim of the NGINX Kubernetes Gateway is to become a fundamental infrastructure component within a Kubernetes cluster,
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serving as both an ingress and egress point for traffic directed towards the services (applications) running
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within or outside the cluster. Leveraging NGINX as a data plane technology, it harnesses the well-established reputation
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of NGINX as an open-source project widely recognized for its role as a web server, proxy, load balancer, and content
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cache. NGINX is renowned for its stability, high performance, security, and rich feature set, positioning it as a
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critical infrastructure tool. Notably, once properly configured and operational, NGINX requires minimal attention,
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making it reliable and "boring" software.
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serving as both an ingress and egress point for traffic directed towards the services (applications) running within or
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outside the cluster. Leveraging NGINX as a data plane technology, it harnesses the well-established reputation of NGINX
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as an open-source project widely recognized for its role as a web server, proxy, load balancer, and content cache. NGINX
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is renowned for its stability, high performance, security, and rich feature set, positioning it as a critical
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infrastructure tool. Notably, once properly configured and operational, NGINX requires minimal attention, making it
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reliable and steady software.
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The NGINX Kubernetes Gateway aims to embody the same qualities as NGINX and become familiar, trustworthy and reliable
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software. The principles outlined below serve as a guide for engineering the NGINX Kubernetes Gateway with the intention
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## Observability
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We provide comprehensive logging, metrics, and tracing capabilities to gain insights into our behavior and
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performance. We prioritize Kubernetes-native observability tools like Prometheus, Grafana, and distributed
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tracing systems to help users monitor the health of NGINX Kubernetes Gateway and to assist in diagnosing issues.
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We provide comprehensive logging, metrics, and tracing capabilities to gain insights into our behavior and performance.
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We prioritize Kubernetes-native observability tools like Prometheus, Grafana, and distributed tracing systems to help
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users monitor the health of NGINX Kubernetes Gateway and to assist in diagnosing issues.
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## Ease of Use
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