gRPC and RPC Frameworks

8/4/2026

This post introduces model routing in Google Cloud API Gateway, a new capability that allows developers to dynamically route OpenAI-compatible requests to different AI models (Gemini, Claude, OpenAI OSS-GPT) using an OpenAPI 3.x specification. It details how to configure routing rules using the `x-google-api-management` extension, deploy the gateway, and send standard requests. The feature supports routing between models hosted on the same backend host (e.g., aiplatform.googleapis.com) and provides examples of OpenAPI configurations and curl commands for testing.

9/26/2025

Introduces the GKE Inference Gateway for optimized AI inference workload serving and its integration with the Apigee Operator for Kubernetes via the GCPTrafficExtension. This integration allows Apigee's API management and governance policies to be enforced on AI traffic routed through the GKE Inference Gateway, enabling secure, governed, and monetized AI APIs.

7/24/2025

This post introduces an open-source example of an MCP server powered by Apigee, demonstrating how to integrate AI agents with existing enterprise APIs. It highlights the use of Apigee's API Products for authentication and authorization of AI tools, and how APIs hosted on Apigee gain security, distribution, and observability features. It also discusses the evolution of MCP standards, including the shift towards OAuth for authorization and resource serving.

7/14/2025

Introduces the Apigee API hub as a central source of truth for all APIs within an enterprise, focusing on API producers (platform engineers, architects, security practitioners). It highlights the hub's ability to catalog APIs, enforce governance, and serve as a registry for AI agents. It also contrasts this with Developer Portals, which are consumer-facing storefronts exposing a curated subset of APIs from the hub. The post emphasizes the symbiotic relationship where the hub's 'enterprise truth' powers the portals and is foundational for agentic strategies.

6/18/2025

Introduces Gemini Code Assist in Apigee API Management, enabling AI-assisted API specification generation and iteration via a chat interface. Key features include AI-generated spec summaries, iterative spec design, enhanced enterprise context for nested objects, duplicate API detection, and enterprise-grade security with VPC Service Controls. The workflow covers creation, iteration, testing, publishing, and implementation of APIs.

5/12/2025

Introduces the general availability of the Apigee APIM Operator, a new feature that brings lightweight API Management and API Gateway capabilities to GKE environments. This allows for API management configuration using Kubernetes-like YAML and integration with CNCF toolchains, reducing friction for developers and administrators. It supports policy management through RBAC and allows for the attachment of various Apigee policies. The operator uses a traffic extension for integration with Apigee Hybrid instances.

4/15/2025

Introduces the Apigee Extension Processor, a traffic extension for Cloud Load Balancing, enabling Apigee API management policies to be applied to gRPC streaming traffic. This bridges the gap for managing gRPC streaming services, which are not natively supported by Apigee in inline proxy mode. The solution involves the Application Load Balancer acting as the Policy Enforcement Point (PEP) and Apigee as the Policy Decision Point (PDP), allowing for authentication, authorization, and rate limiting on gRPC streams destined for backends like Cloud Run.

12/17/2024

This post announces the general availability of Apigee API hub, a central repository for managing, governing, and observing an organization's entire API ecosystem. It consolidates APIs from various sources, offers AI-powered search, and integrates with development lifecycles and CI/CD pipelines. It also highlights the use of generative AI, like Gemini Code Assist, to accelerate API creation and integrations. Future plans include enhanced visibility, knowledge sharing, and standardized governance.

10/8/2024

The Google Chat API has been updated to allow Chat apps to create spaces and memberships using their own application identity, rather than on behalf of a user. This enables more autonomous and sophisticated Chat app functionalities, such as automatically creating incident management spaces when an issue is detected and subsequently adding relevant personnel. New OAuth scopes for `chat.app.spaces.create`, `chat.app.spaces`, `chat.app.delete`, and `chat.app.memberships` have been introduced to facilitate this capability.

7/17/2023

The Google Chat API, previously in Developer Preview for creating spaces and adding members, is now generally available to all Workspace developers. This includes APIs for managing messages, reactions, and attachments. Additionally, a new feature for importing user data into Google Chat is available in Developer Preview, allowing for the migration of existing messages, attachments, reactions, and memberships using "import mode" spaces that preserve historical timestamps and context.

6/17/2021

This post introduces the ability for Google Workspace Chat bots to integrate dialogs and slash commands. Dialogs provide a structured, multi-step user interface for bots to collect information or guide users through complex tasks. Slash commands allow users to invoke bot functionality directly from the chat interface using predefined commands. This enhances bot interactivity and usability within Google Workspace.

12/16/2020

This post announces the stable release of gRPC Kotlin 1.0, providing a Kotlin-idiomatic gRPC experience for both Android and Cloud development. It highlights the benefits of using Kotlin with gRPC, such as improved developer productivity and type safety, and details the key features and improvements included in this release, such as enhanced support for coroutines and idiomatic Kotlin APIs.

7/13/2020

This post announces the discontinuation of support for JSON-RPC and global HTTP batch endpoints for Google APIs. It advises developers to migrate to gRPC for new integrations and to utilize the client libraries for existing integrations. The deprecation is scheduled to take effect on July 13, 2021, with a grace period for migration. This change aims to streamline API access and promote the use of more performant and feature-rich communication protocols.

5/15/2018

This post introduces the ability for developers to build bots for Hangouts Chat. It details how to use the Hangouts Chat API to create bots that can interact with users and perform automated tasks within the chat environment. The post covers the basic concepts of bot development, including handling messages, responding to events, and integrating with other services. It highlights the use of webhooks and the API's event-driven nature to facilitate bot functionality.

4/20/2017

This post introduces the concept and implementation of field masks for update requests in Google APIs. It explains how field masks allow for partial updates by specifying which fields should be modified, thereby improving efficiency and reducing bandwidth usage. The post provides examples of how to use field masks with common Google APIs and discusses the benefits for developers in terms of control and performance.

4/5/2017

This post introduces and explains the concept of field masks in Google APIs. It details how field masks enable clients to request only specific fields from a resource, thereby reducing the amount of data transferred over the network. The post provides examples of how to use field masks with the Google APIs Client Library for Python and explains the benefits, such as improved performance and reduced bandwidth consumption, particularly for APIs that return large resources.

10/26/2015

This post announces that gRPC has reached Beta, signifying its readiness for production environments. This milestone indicates growing maturity and adoption of the framework, making it a viable option for developers building high-performance inter-service communication systems.

2/26/2015

This post introduces gRPC, an open-source, high-performance, language-agnostic RPC framework based on HTTP/2. It highlights gRPC's advantages over traditional RPC mechanisms, including its use of Protocol Buffers for efficient serialization and its ability to support features like bidirectional streaming and multiplexing. The post also announces the availability of gRPC for Java and C++ and its integration with Google App Engine.

3/22/2010

Introduced Partial Response and Partial Update features for APIs. Partial Response allows clients to specify which fields they want to receive in an API response, reducing payload size and improving performance. Partial Update allows clients to send only the fields they wish to modify in an API request, further optimizing bandwidth and processing.