This website describes a way to manage APIs that is inexpensive, high-performing, and surprisingly easy to use. It’s also great for APIs that are built with gRPC and Protocol Buffers. It’s the only API management system that starts with these powerful approaches, and if you are building APIs with them, you’ll find it especially familiar. It emerged from internal API management practices at Google, and as you might hope, it works great on Google Cloud, but it’s not limited to that. We’ll show you how it can be used with or without Kubernetes on any cloud platform and on systems that you run yourself.
Ambassador: Building a Control Plane for an Envoy-Powered API Gateway on Kubernetes
This article provides an insight into the creation of the Ambassador open source API gateway for Kubernetes, and discusses the technical challenges and lessons learned from building a developer-focused control plane for managing ingress or "edge" traffic within microservice-based applications.
Running a PDS in Kubernetes for fun & profit - at://hayden.moe
The trials and tribulations of running a PDS on self-hosted Kubernetes with the Gateway API and other such fun things
The future of Kubernetes and cloud infrastructure
New development approaches and open-source tools are set to address the complexity and scaling challenges of Kubernetes and evolve cloud infrastructure as we know it today.
googleapis/google/cloud/secretmanager/v1 at master · googleapis/googleapis
Public interface definitions of Google APIs. Contribute to googleapis/googleapis development by creating an account on GitHub.
AI gateway capabilities | Apigee | Google Cloud Documentation
Learn how to use Apigee AI gateway features to govern, optimize, and scale AI traffic.
OpenAPI 3.x Extensions in API Gateway | Google Cloud Documentation
API Gateway accepts a set of Google-specific extensions to the OpenAPI specification that configure the behaviors of the gateway. These extensions allow you to specify API management settings, authentication methods, quota limits, and backend integrations directly within your OpenAPI document. Understanding these extensions helps you tailor your service behavior and integrate with API Gateway features.
Overview of model routing | API Gateway | Google Cloud Documentation
Model routing for API Gateway is a managed traffic management layer that accepts OpenAI-compatible prompt requests, transcodes them in-flight, and routes them to specific Gemini Enterprise Agent Platform models. Model routing acts as a managed alternative to client-side proxies such as LiteLLM, providing centralized infrastructure to manage the lifecycle of AI agents.
Optimised API Management for the modern business
Join us as we unveil the path to optimised API management, tailored for modern enterprises.
Cloud native Go: building reliable services in unreliable environments
What do Docker, Kubernetes, and Prometheus have in comm…
The platform engineer's survival guide to Kubernetes networking, Tue, Jul 9, 2024, 10:00 AM | Meetup
Kubernetes networking can be intimidating for platform engineers, but with the right knowledge, it can become a powerful tool. Understanding the various layers of Kubernete
Self-host and scale web apps without Kubernetes complexity | Uncloud
Take your Docker Compose apps to production with zero-downtime deployments, automatic HTTPS, and cross-machine scaling. Self-hosting made reliable without the complexity.
Google Cloud Platform
Google Cloud Platform lets you build, deploy, and scale applications, websites, and services on the same infrastructure as Google.
Google Cloud Platform
Google Cloud Platform lets you build, deploy, and scale applications, websites, and services on the same infrastructure as Google.
Build an Orchestrator in Go (From Scratch)
Develop a deep understanding of Kubernetes and other orchestration systems by building your own with Go and the Docker API.
Google for Developers Blog - News about Web, Mobile, AI and Cloud
Google Cloud API Gateway now offers a model routing feature in Public Preview, allowing developers to dynamically route traffic to models like Gemini, Claude, or OpenAI OSS-GPT without hardcoding endpoints or managing open-source proxies. Developers can easily configure these routing rules directly within their OpenAPI 3.x specifications by mapping virtual model names to specific backend targets on a shared host. Once deployed, the Gateway acts as a serverless ingress layer that accepts standard OpenAI-compatible requests, automatically transcodes the payload to the native schema of the target model, and routes the traffic on the fly.
Kubernetes 1.27 Goes Galactic with OpenAPI3
Explore the power of Kubernetes 1.27 API with OpenAPI v3 validation. Learn usage examples and embrace flexible, reliable custom resources.
