Apigee API Management, GCP App Integration, AI Agents & MCP

Explore Apigee as a full lifecycle API management platform, covering API basics, built-in policies, deployment options, applications and API products, analytics, developer portals, monetization, and scalable security.

Identify three common API management use cases: modernization of on-prem or cloud apps with AI and modern interfaces; data sharing with partners and developers; and monetizing private data via APIs.

Map the digital value chain by aligning end users, consumer developers, and API teams through secure APIs that power enterprise services with visibility from Apigee API management.

Adopt an outside-in API design by identifying end-user and developer needs, specify with OpenAPI or swagger, deploy to the API hub, and train your API proxy for robust, well-documented APIs.

Leverage application integration with Apigee to connect on-premise and cloud services, enabling data flow and secure API exposure. Integrate SaaS, legacy, and cloud-native apps to synchronize data and automate workflows.

Explore API productization by aligning data and services with market needs, coordinating across teams to combine resources from different APIs, and bring a market-ready API product to customers.

Empower consumer developers to visit the developer portal, explore apis and products, self-register, create applications, and begin consuming apis instantly through Apigee's fully automated, self-service portal.

Explore Apigee's out-of-the-box analytics to track total traffic, monitor latency, identify hit targets and backend services, visualize traffic with the request map, and measure API adoption across developers and applications.

Explore Apigee Analytics and API metrics to monitor API usage, performance, and errors across proxies and backend targets over the last 7 days, including TPS, latency percentiles, and error sources.

Explore Apigee deployment options, including public cloud or saas managed by Google. Hybrid uses a management plane and a runtime plane, deployable on premise or in the cloud.

Explore the anatomy of an Apigee api proxy, including proxy and target endpoints, preflow and postflow policies, conditional flows, and request-response handling with logging and transformation.

Leverage over 35 out-of-the-box policies in Apigee, organized into four categories, by attaching them to an API proxy created from an API specification to manage traffic, security, mediation, and transformation.

Create API products within an API proxy to bundle resources from multiple API proxies, then grant consumer developers access via applications secured by API keys.

Leverage a unified Apigee gateway for LLM integration and governance, routing prompts via semantic routing to Gemini or OpenAI using a Redis-based vector search and API management features.

Expose an existing REST API as MCP tools via Apigee, enabling AI agents like Claw to discover and invoke Weather API operations through the MCP Discovery proxy and API hub.

We demonstrate securing MCP endpoints with Apigee as an AI gateway, using a BigQuery MCP example to enforce quotas and read-only access via payload policies and API products.

Discover how Gemini Enterprise connects AI agents to enterprise APIs via Apigee, providing secure governance, authentication, quotas, traffic control, and observability for enterprise AI.

Learn to turn enterprise APIs into commercial products with Google Cloud Apigee by building a complete monetization solution—API products, subscriptions, rate plans, usage tracking, and analytics reporting.

Explore a multi-layer security architecture with Cloud Armor, Apigee, Advanced API Security, and Model Armor to protect APIs, data, and AI models against attacks and threats.

Compare apigee deployment models—OPDK, Edge Private Cloud, and Hybrid—as x-based systems tightly linked to Google Cloud, with a Google Cloud–hosted management plane and runtime planes in customer environments.

Explore the Apigee opdk ui, compare old and new interfaces, and learn to design proxies, deploy to test, and manage analytics and admins in a private cloud.

Explore Google Cloud application integration, including provisioning, the integration designer, variables and data mapping, triggers and tasks, versioning, testing, deployment, connectors, custom connectors, and the Gemini AI engine.

Explore how application integration on Google Cloud enables seamless data flow across legacy databases and SaaS apps, with real-time processing and flexible API-first options for diverse use cases.

Adopt an API-first approach to design APIs delivering exact data for the user experience and apply application integration across retail and healthcare to enable real-time stock and integrated patient data.

Explore free tier versus paid plans for apigee application integration and set up the environment quickly with Quick Setup in a Google Cloud project, then verify a 200 OK result.

Explore the integration designer in Google Cloud to build and test integrations with a graph canvas and drag-and-drop triggers and tasks. Use right panel and toolbar to configure data flow.

Test integrations early with test cases and sample data in the integration designer to catch issues before go-live, then deploy by managing active versions, monitoring performance, and logging insights.

Use a real-time monitoring dashboard to track executions, errors, and tasks, spotting spikes and enabling quick troubleshooting. Set up email alerts by selecting the integration and thresholds to maintain reliability.

Learn to consume and manage connections in an integration workflow across MySQL, Salesforce, and Pub/Sub, with listing, updating, publishing actions, and data mapping with variable management.

Explore how integration connectors simplify connecting to data sources across Google Cloud and external apps, with over 100 pre-built connectors, enabling authentication, endpoint configuration, data mediation, and event subscriptions.

Demonstrates creating a pre-built SAP gateway connector using OData in SAP NetWeaver, configuring a JSON connection with host URL and user/password authentication, and mapping data to extract sales order IDs.

Explore custom connectors in Google application integration to onboard any open API 3.0 service, expanding integration capabilities, simplifying connection management, and enabling tailored workflows via an OpenAPI specification.

Access a broad catalog of pre-built connectors in Google Cloud Marketplace to accelerate integration, select and start using connectors, review pricing, and publish your own connectors after meeting requirements.

Explore global, shared, and project templates in Google Cloud's application integration, and learn to create, customize, and share reusable templates with config variables for accelerated connectivity.

Explore how application integration powers agent-based experiences by orchestrating AI models and tools to fulfill user goals, from creating tickets to querying enterprise systems.