The Overwhelmed Person’s Guide to Google Cloud: Week of June 27
In today’s fast-paced digital landscape, staying updated with the latest advancements in cloud technology is crucial for businesses and developers alike. Google Cloud stands at the forefront of innovation, consistently rolling out new features and improvements to enhance user experience and efficiency. This weekly guide aims to distill the most significant updates, insights, and community highlights from Google Cloud, ensuring you’re always in the loop.
New and Noteworthy Updates
-
Vertex AI Model Monitoring
- Google introduces a new version of Vertex AI Model Monitoring, enhancing the ability to monitor models in production environments effectively. This update includes improved visualizations to track prediction quality drift across various serving infrastructures.
- Read more
-
Simplified Onboarding with Google Cloud
- Getting started with Google Cloud is now more accessible than ever. Prospective users can now try Vertex AI without needing a Cloud account or signing in. Additionally, setting up single zone instances for managed Redis instances is streamlined, offering low-cost options with low latency.
- Explore here
-
IAM Conditions for BigQuery
- Google Cloud introduces IAM conditions, allowing finer control over access to BigQuery resources. This feature enables administrators to apply access controls based on project, folder, or organizational units, ensuring secure data handling.
- Learn more
Spotlight: Community Contributions
-
RAG on Google Cloud
- Brett from Zencore explores various methods of applying a retrieval augmented generation (RAG) pattern using Google Cloud services, highlighting practical applications and benefits.
- Discover more
-
Security Insights from Google Cloud
- Darren shares insights into proactive security measures within Google Cloud, detailing how the platform alerts users about policy changes and potential vulnerabilities.
- Read Darren’s experience
-
BigTesty: Testing Framework for BigQuery
- Mazlum introduces BigTesty, an open-source project designed to facilitate integration testing for SQL queries in BigQuery deployments, enhancing reliability and operational confidence.
- Explore BigTesty
Learn and Grow with Google Cloud
-
Building Generative AI Chatbots
- Discover how to build AI-driven chatbots within BigQuery, leveraging contextual inference techniques to enhance user interaction and data handling capabilities.
- Get started
-
Cross-Cloud Networking Explained
- Google Cloud offers comprehensive documentation on cross-cloud networking strategies, covering network segmentation, service networking, and security protocols to facilitate seamless cloud operations.
- Learn more
-
Cloud Run for AI Applications
- Explore the capabilities of Cloud Run in deploying and managing AI applications efficiently. This post delves into different features that make Cloud Run a preferred choice for developers.
- Discover Cloud Run
Partnership Highlight
Google Cloud has partnered with Oracle to provide integrated solutions for running Oracle databases on Google Cloud infrastructure. This collaboration aims to simplify data management across platforms, ensuring seamless performance and interoperability.