Master Looker Embedding: Private vs. Signed Methods & Embed SDK Interaction
- Authors
- Published on
- Published on
In this thrilling episode, we delve into the exhilarating world of Looker embedding. The team at Looker takes us on a wild ride, showcasing the adrenaline-pumping private embedding and the heart-stopping signed embedding methods. With private embedding, users must buckle up and log in to Looker separately, ensuring a secure and seamless experience within the host application. On the other hand, signed embedding offers a high-octane solution for users without Looker accounts, providing a unique URL for authentication that revs up user access permissions.
To ignite the flames of excitement, the team demonstrates a high-speed process for generating signed embed URLs. Picture this: your host application's frontend and backend working in perfect harmony to authenticate users and fetch those exclusive signed URLs from Looker's embed/ssl_url endpoint. Once the signed embed URL is in hand, users can race into the world of embedded Looker content within the application's iframe, creating a dynamic and interactive experience. And remember, each new embed session requires a fresh URL to keep the adrenaline pumping.
But the thrill doesn't stop there. The team reveals how the host application can communicate with the embedded content, adding a turbo boost to the interactive capabilities. By harnessing the power of events emitted by the iframe and using the window.postMessage() method, the host application can steer the direction of the embedded content, making it more engaging and responsive. And for those seeking the ultimate performance upgrade, the Embed SDK swoops in to streamline the embedding process, providing convenient JavaScript methods for managing the iframe and enhancing interaction with the embedded Looker content. So buckle up, gearheads, and get ready to embark on an exhilarating journey into the world of Looker embedding.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Watch Develop with Looker Embedding on Youtube
Viewer Reactions for Develop with Looker Embedding
Discussion about the benefits of using Google Cloud services
Comparisons with other cloud service providers
Questions about specific features and capabilities of Google Cloud
Suggestions for future content or tutorials
Requests for troubleshooting assistance
Comments on the presenter's delivery and style
Sharing personal experiences with using Google Cloud
Recommendations for other resources or tools to complement Google Cloud services
Discussions on pricing and cost-effectiveness
Jokes and light-hearted comments about cloud technology
Related Articles
Mastering Real-World Cloud Run Services with FastAPI and Muslim
Discover how Google developer expert Muslim builds real-world Cloud Run services using FastAPI, uvicorn, and cloud build. Learn about processing football statistics, deployment methods, and the power of FastAPI for seamless API building on Cloud Run. Elevate your cloud computing game today!
The Agent Factory: Advanced AI Frameworks and Domain-Specific Agents
Explore advanced AI frameworks like Lang Graph and Crew AI on Google Cloud Tech's "The Agent Factory" podcast. Learn about domain-specific agents, coding assistants, and the latest updates in AI development. ADK v1 release brings enhanced features for Java developers.
Simplify AI Integration: Building Tech Support App with Large Language Model
Google Cloud Tech simplifies AI integration by treating it as an API. They demonstrate building a tech support app using a large language model in AI Studio, showcasing code deployment with Google Cloud and Firebase hosting. The app functions like a traditional web app, highlighting the ease of leveraging AI to enhance user experiences.
Nvidia's Small Language Models and AI Tools: Optimizing On-Device Applications
Explore Nvidia's small language models and AI tools for on-device applications. Learn about quantization, Nemo Guardrails, and TensorRT for optimized AI development. Exciting advancements await in the world of AI with Nvidia's latest hardware and open-source frameworks.