AI
Engineering
How we made our IDEs data-aware with a Go MCP Server
How we built a Go-based MCP server to make AI Assistants AI data-aware, bridging code and database, which ended up transforming the way we code.
Mariano Gappa, +1 •
Blog Archive Page 2 — Engineering
Engineering
We Built an MCP Server and These Are the Gotchas Nobody Talks About
Lessons we learned from building an MCP server to bridge LLMs with cloud infrastructure databases. What we learned about tool descriptions, naming, context limits, and quirks, and how we fixed them.
Mariano Gappa, +1 •
Cloud Asset Inventory
Engineering
How to Make Your Internal Developer Portal Actually Useful
A fresh asset inventory is the foundation of successful developer portals. Learn how organizations achieve 224% ROI, reduce onboarding by 67%, and save millions through inventory-driven Backstage implementations with real case studies from Spotify, Toyota, and financial services.
Joe Karlsson •
Engineering
Why (and How) We Built Our Own Full Text Search Engine with ClickHouse
How we built a full-text search for CloudQuery using ClickHouse, achieving 10x faster queries without dedicated search engines.
James Riley, +1 •
Engineering
How We Accidentally Invented a Cloud Search Language
How we turned our search bar into a domain-specific language using Peggy instead of regex, solving complex parsing challenges for cloud resource queries.
Chris Duflo, +1 •
Engineering
How We Handle Billion-Row ClickHouse Inserts With UUID Range Bucketing
How we solved memory explosion issues in ClickHouse when processing billions of rows of cloud configuration data using an Insert-Splitter with UUID-range bucketing technique.
Mariano Gappa, +1 •
Engineering
Governance
Kubernetes Asset Tracking: Why 70% of Enterprises are Struggling (And How to Fix It)
Learn how to tackle the challenges of managing Kubernetes assets across multiple clouds with the central configuration store pattern. Discover how CloudQuery enables SQL-based querying for efficient governance, security enforcement, and compliance at scale.
Joe Karlsson •
Engineering
The Lost Fourth Pillar of Observability - Config Data Monitoring
Discover why config data is the missing fourth pillar of observability. Learn how it differs from logs, metrics, and traces—and how CloudQuery helps you monitor and query it at scale.
Yevgeny Pats •