Building Secure AI-Powered Cloud Security: From Data Pipeline to Risk Detection
Learn how AI-powered cloud security reduces investigation time by 55% across AWS, GCP, Azure with our open-source demo.

Joe Karlsson •
Learn how AI-powered cloud security reduces investigation time by 55% across AWS, GCP, Azure with our open-source demo.
Joe Karlsson •
Comprehensive performance analysis of CloudQuery across multiple platforms and data sources, achieving 581 GB/hour throughput on consumer grade hardware when processing local data, with detailed analysis of cloud provider API rate limiting impacts.
Joe Karlsson •
Discover unused resources costing you money in GCP using CloudQuery + Postgres.
Chris Reuter •
In less than an hour, you can save tens of thousands of dollars on unused AWS resources identified using CloudQuery.
Chris Reuter •
Find unused Azure resources for quick cost savings and compliance improvements.
Chris Reuter •
Introducing the new CloudQuery Snowflake source plugin that enables you to replicate data from Snowflake to any CloudQuery destination. Sync data across analytics environments, move data to cheaper cold storage, or migrate data anywhere.
Chris Reuter •
Turn GitHub issues into instant insights: sync with CloudQuery, generate PgVector embeddings in PostgreSQL, and answer natural-language questions with a tiny OpenAI-powered script.
Mariano Gappa •
Sync GitHub issues to BigQuery with CloudQuery, generate Vertex AI embeddings via BigQuery remote models, and deliver fast, fully managed semantic search and Q&A with Gemini—no vector database to run.
Mariano Gappa •
Find out how CloudQuery can help you get clarity from a chaotic cloud environment with a personalized conversation and demo.
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