Dmitry Buzolin

AI agents are only as powerful as their memory. Redis has been named the #1 data storage choice for AI agents in 2025. The reason? Redis delivers what AI truly needs: - Real-time vector storage - Semantic caching - Long-term memory for LLMs At Bassirah, we see this as validation of why Redis is central to the next generation of AI-native data platforms powering everything from agentic RAG systems to enterprise decision engines. 🔗 Read more: https://lnkd.in/db47k6zG #AI #Redis #RAG #LLM #DataEngineering #AIAgents #ArtificialIntelligence

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🚀 Ever spent hours analyzing slow queries and figuring out the right indexes? I just released a new video showing how to automate database performance tuning with IQToolkit Analyzer! In this demo, I take a PostgreSQL query with a slow Sequential Scan (20 seconds!) and use AI to generate the perfect index strategy - cutting execution time dramatically. 💡 What you'll learn: ✅ How to identify performance bottlenecks with EXPLAIN ANALYZE ✅ Using AI to recommend optimal index strategies ✅ Real-world example with measurable results Whether you're a DBA, backend engineer, or just curious about AI-powered database optimization, this 17-minute walkthrough shows practical automation in action. Check it out and let me know what you think! 👇 https://lnkd.in/es_9fWtP #PostgreSQL #DatabaseOptimization #AI #DatabasePerformance #DBA #IQToolkit #OpenSource

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This foundational checklist from Augusto Rosa’s Snowflake Architecture Series is a must-read. Whether you're new to Snowflake or scaling your cloud data platform, this checklist breaks down the essential building blocks—like identity and access, cost governance, and data modeling—that every data team needs to get right. Set yourself up for long-term success with Snowflake—this is the perfect place to begin. https://lnkd.in/eYP8jZ2s

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Oracle 26ai - Sql Server 2025 - ArcNeural (Lakehouse analytics + AI runtimes + vector search under one roof) The database is no longer just for “transaction/analytics” — it is becoming the central AI execution layer.

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"All-in-One" Suite 🆚 "Best-of-Breed" Approach Most organizations aren’t 100% on any single platform. Heterogeneity is the norm. That’s why metadata freedom is becoming a critical architectural discussion. 👉 Full read: https://lnkd.in/gHnrPvxd In this article, we break down: • why vendor lock-in matters more at the metadata layer • how multi-engine environments change governance • the tradeoffs between open catalogs and vertically integrated platforms This topic affects every engineering team operating across Spark, Trino, Flink, warehouses, vector stores, and AI systems.

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