9h ago · 13 min read · Last week I attended Google AI Agents Reloaded Live Labs Benelux and ended up winning in the "Agents for Good" track. 🎉 Between lab sessions and back-to-back talks, I filled several pages of notes —
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2d ago · 9 min read · Introduction: The Inevitable Evolution of AI Infrastructure In the fast-paced world of generative AI, the tools and platforms we use are constantly evolving. What was state-of-the-art six months ago might be legacy today. For many developers who star...
Join discussion2d ago · 4 min read · When developers start working with BigQuery, one of the first confusing concepts is the difference between a BigQuery project, dataset, and table. Many queries reference tables using the format projec
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5d ago · 5 min read · When developers start building serverless applications on Google Cloud, they often run into the same dilemma. Should this workload run on Cloud Run or Cloud Functions? Both services allow you to run c
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6d ago · 6 min read · External applications often need to access data stored in Google Cloud platforms such as BigQuery and Google Cloud Storage. This may include backend services, analytics tools, dashboards, data pipelin
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Mar 11 · 6 min read · Migrating a Cloud SQL database from one Google Cloud project to another can be challenging—especially when you want minimal downtime and continuous replication (via Change Data Capture — CDC). Google'
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Mar 10 · 5 min read · Migrating object storage across cloud providers is not a copy task.It is a cost, network, and security boundary problem. We migrated 10+ TB of object data from Google Cloud Storage to Amazon S3 under
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Mar 6 · 9 min read · Your AI agent can call 47 tools. It can query databases, search the web, and generate images. But ask it to coordinate with another agent built by a different team, on a different framework, and suddenly you are writing custom glue code that breaks e...
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