Introduction to the System Design Pillar of the Google Cloud Architecture Framework
The System Design Pillar is the foundational pillar of the Google Cloud Architecture Framework, which includes...
Cloud Product Articles
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Knowledge Base Articles
System Design: Analytics Best Practices
In this article, you'll find recommendations and best practices focused on the topic of Analytics, as part of ...
System Design: Database Best Practices
In this article, you'll find recommendations and best practices focused on the topic of Databases, as part of ...
System Design: Geographic Zones and Regions Best Practices
In this article, you'll find recommendations and best practices focused on the topic of Geographic Zones and R...
System Design: Resource Management Best Practices
In this article, you'll find recommendations and best practices focused on the topic of Resource Management, a...
System Design: Compute Best Practices
In this article, you'll find recommendations and best practices focused on the topic of Compute, as part of th...
System Design: Networking Best Practices
In this article, you'll find recommendations and best practices focused on the topic of Networking, as part of...
System Design: Storage Best Practices
In this article, you'll find recommendations and best practices focused on the topic of Storage, as part of th...
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Articles from Product Experts and Googlers
Next-Gen Data Pipelines: Airflow 3 Arrives on Google Cloud Composer
We are thrilled to announce that Google is the first hyperscaler to provide selected customers with access to Apache Airflow 3 on our fully managed Cloud Composer 3 service. Discover how powerful new features like DAG Versioning, a modern React-based UI, and scheduler-managed backfills can help you innovate faster and more reliably.
Configuring GKE rollout sequencing
You can manage the order of automatic cluster upgrades across Google Kubernetes Engine (GKE) clusters in multiple environments using rollout sequencing. For example, you can qualify a new version in pre-production clusters before upgrading production clusters.
MCP x ADK - Engineering Agents That Execute, Not Just Predict
Unlock the power of AI agents by connecting them to real-world tools and data. This guide explores the Model Context Protocol (MCP) for seamless integration. Follow the code-centric tutorial to build a Financial Advisory Agent with Google's ADK. Learn to equip your agents with external capabilities for complex, real-world tasks.
