Databases
21 posts
6 Cloud CMDB Best Practices for Platform Engineers (2026 Guide)
Cloud CMDB best practices for multi-account environments - automated discovery, tiered sync strategies, SQL-based querying, and historical data retention for compliance.
The Death of Agent-Based CMDB Discovery
Agent-based CMDB discovery fails in cloud environments with containers, serverless, and managed services. API-driven discovery costs 90% less and works everywhere.
The Real-Time Cloud CMDB - Why Ephemeral Infrastructure Killed Traditional Discovery
Traditional CMDBs miss most ephemeral resources because containers live just minutes. Modern cloud CMDBs use tiered sync strategies (15-30 min for critical, hourly for important, daily for baseline). Compare approaches, costs, and learn why ephemeral infrastructure killed traditional discovery.
Cloud CMDB vs Traditional CMDB: A 2026 Comparison
Traditional CMDBs fail 70-80% (Gartner 2024) due to agent-based architecture and rigid ITIL data models. Cloud CMDBs use API-based discovery and native schemas. Compare architecture, implementation time, and technical approaches for 2026.
Production AI Data Pipeline Architectures
AI applications need fresh, unified data to succeed. CloudQuery delivers faster data movement from 50+ sources to AI destinations like vector databases and training pipelines - privately on your infrastructure.
AI for Analyzing Your Cloud Asset Inventory
CloudQuery's new MCP server lets AI agents directly query your cloud inventory using natural language. Get real dashboards, reports, and analytics from actual infrastructure data across AWS, GCP, Azure, and more.
Cloud Centers of Excellence (Part 1): Building Effective Cloud Governance Through Strategic Organization
Discover how to build a successful Cloud Center of Excellence (CCOE) to drive cloud governance, security, and innovation across your enterprise. Learn key structures, roles, and strategies in Part 1 of our 5-part implementation series.
Cloud Centers of Excellence (Part 2): Governance, Security, and Compliance in CCOEs
Who actually owns cloud policy? We break down how real CCOEs manage governance, enforce security without compromising velocity, and keep regulators at bay. We share what works and what quietly fails, inside enterprises handling sensitive workloads.
Cloud Centers of Excellence (Part 3): FinOps, Cost Management, and Real-World Case Studies
Cloud costs aren't just a budgeting issue, they're a systems problem. In Part 3, we unpack how mature CCOEs adopt FinOps practices to track every dollar, cut waste by up to 40%, and drive shared accountability across teams. Real examples from banks and enterprises show how this actually plays out.
Cloud Centers of Excellence (Part 4): Implementation Best Practices and Common Pitfalls
Part 4 of the Cloud CoE series: a battle-tested roadmap covering what to build first, what to skip, how to avoid the ivory tower trap, and keeping your CoE alive past year one.
Cloud Centers of Excellence (Part 5): The Future of CCOEs and Getting Started
CCOEs aren't going away, they're evolving. Part 5 looks ahead at how CCOEs are shifting. We share what's next, what to build, and how to keep your CCOE adaptable without locking it in the past.
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.
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.
Six Months with ClickHouse at CloudQuery: The Good, The Bad, and the Unexpected
After six months using ClickHouse as CloudQuery's default backend, here's what we learned about performance, JOIN limits, sorting keys, materialized views, and benchmarking.
AI, Without Exposing Your Data
Learn how to build AI-powered applications while keeping your sensitive data secure and private on your own infrastructure.
Databases and DevOps: How to Use SingleStore With GitHub Actions
Databases are frequently not included when transforming an application and engineering culture toward a DevOps, or continuous deployment engineering organization. And, you could be forgiven for this...
Four Questions You Need To Ask When Choosing a Database
Are you overwhelmed by the sheer amount of databases on the market today, and not sure where to start? Let’s say that you are a Software Developer, and you need to select a database for a brand new...
Database Sharding vs. Partitioning: What’s the Difference?
In this post, I explain the differences between database sharding vs. partitioning and explore when to use each - or even to combine them for data-intensive applications.
How To Use The MongoDB Visual Studio Code Plugin
To make developers more productive when working with MongoDB, we built MongoDB for Visual Studio Code, an extension that allows you to quickly connect to MongoDB and MongoDB Atlas and work with your...
From SQL to NoSQL: A Gentle Introduction For Devs
Thanks for coming to my talk, From SQL to NoSQL: A Gentle Introduction For Devs. Here you will find all the resources discussed during the talk. About “I have heard about NoSQL databases, but don’t...
Building Your First GraphQL Client in JS
Thanks for coming to my talk, Building Your First GraphQL Client in JS. Here you will find all the resources discussed during the talk. About RESTful APIs have been around for a while now, but they...