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.
Joe Karlsson •
Cloud CMDB best practices for multi-account environments - automated discovery, tiered sync strategies, SQL-based querying, and historical data retention for compliance.
Joe Karlsson •
Agent-based CMDB discovery fails in cloud environments with containers, serverless, and managed services. API-driven discovery costs 90% less and works everywhere.
Joe Karlsson •
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.
Joe Karlsson •
Traditional CMDBs fail 70-80% of the time in cloud environments. Learn five specific challenges, ephemeral resources, data model mismatch, security lag, multi-cloud visibility, and licensing costs — and practical solutions for each.
Adam Cobb •
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.
Joe Karlsson •
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 •
Discover five essential principles for building cloud asset inventories that deliver real business value. Learn how successful organizations transform cloud infrastructure visibility into measurable outcomes through business-focused implementation, cross-functional collaboration, and actionable intelligence.
Joe Karlsson •
Learn the five essential design principles for building cloud asset inventories that deliver results—freshness, completeness, normalization, queryability, and extensibility. Discover the maturity stages from ad-hoc scripts to optimized systems with predictive analytics and real-time decision making.
Joe Karlsson •
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