#Azure SQL Database
53 related articles
·6 min
Balancing Cost and Performance in Azure SQL Database: Three Core Strategies Explained
This article breaks down Azure SQL Database's progressive cost-optimization strategy from the free tier to Hyperscale, Serverless auto-scaling, and Elastic Pools, helping teams balance performance and budget.
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·3 min
Cloudflare OS Explained: An Edge Computing Open Platform for AI Agents
Deep dive into Cloudflare OS's technical architecture and strategic positioning—how it leverages its global edge network, Workers runtime, and Durable Objects to provide low-latency, secure environments for AI agents.
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·4 min
Shai-Hulud Supply Chain Attack: In-Depth Analysis of the Keyv npm Package Compromise and Defense Guide
In-depth analysis of how the Shai-Hulud worm-like supply chain attack compromised Keyv and other popular npm packages, with developer investigation and long-term defense strategies.
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·3 min
Capacity Desktop: A Detailed Review of the Free, Locally-Run Lovable Alternative
Capacity Desktop is a free local AI app generator for Mac that turns natural language into real apps. Code stays on your machine with GitHub sync. No signup, no lock-in, pay only actual AI costs.
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·3 min
Detailed Explanation of WAL Network Latency Optimization in Lakebase's Decoupled Storage-Compute Architecture
Deep dive into how Databricks Lakebase (Neon architecture) optimizes WAL network latency in decoupled storage-compute through Safekeeper quorum writes, group commit pipelining, and proximity deployment while preserving ACID semantics.
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·2 min
Pets vs Cattle: Decoding the Core Metaphor of Cloud Computing Operations Philosophy
An in-depth analysis of the classic "Pets vs Cattle" metaphor in cloud computing, exploring the shift from traditional IT ops to cloud-native thinking and clarifying common misconceptions.
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·2 min
Basedash Audit Logs Explained: Compliance and Security Tracking for an AI-Driven BI Tool
Basedash launches native audit logs tracking AI queries, user actions, and config changes with SIEM integration and custom retention for enterprise BI compliance.
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·4 min
From Solo Analyst to Team Data Platform: A Practical Guide to Leveling Up Your Tech Stack
How should a data scientist upgrade their tech stack when transitioning from IC to team lead? A phased roadmap covering Git, dbt, Snowflake, modern data stack, and generative AI.
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Alibaba Open-Sources Code Review Tool …
·5 min
Alibaba Open-Sources Code Review Tool open-code-review: Deterministic Pipeline + LLM Dual-Engine Analysis
Alibaba open-sources code review tool open-code-review, using a hybrid architecture of deterministic rule pipelines and LLM Agents. Supports line-level comments, OpenAI/Anthropic APIs, battle-tested at Alibaba scale, written in Go, fully free and open-source.
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·3 min
LangChain v1.3 Hands-On Tutorial: Deep Dive into Agents, RAG, and Local Model Deployment
Deep dive into LangChain v1.3: compare LangChain, LangGraph, and DeepAgent paradigms, explore RAG pipelines, multi-agent systems, and local LLM deployment for enterprise AI apps.
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·2 min
Dify + RAG in Practice: Building a Game-Specific AI Assistant from Scratch
Build a RAG knowledge base from scratch using Dify's low-code platform. A hands-on Delta Force game assistant case study covering agents, knowledge base setup, and private deployment.
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·3 min
Dify Getting Started: A Complete Zero-to-Production Guide for Building AI Applications
A complete guide to Dify — covering deployment, five core app types (chatbot, Agent, workflow, and more), LLM integration, and publishing for zero-experience developers.
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·3 min
The Complete Guide to AI-Native Architecture: RAG, Agents, and MCP
A comprehensive guide to AI-native application architecture: LLM inference, RAG retrieval (vector DB/knowledge graph/BM25), Agents, MCP tool calling, AI gateways, and observability — end-to-end.
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·3 min
Java Developers Pivoting to AI: Why RAG Knowledge Bases Are the Best Entry Point
Traditional Java roles are shrinking while AI demand surges. Learn the three paths into AI for developers, and why RAG knowledge bases are the highest-ROI entry point for Java engineers.
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·4 min
Using MCP Protocol to Give AI Agents Full Visibility into SQL Server
Learn how to connect AI agents to SQL Server via MCP protocol — wrapping DMV queries, managing multi-instance fleets, and enabling natural language ops with layered safety guardrails. Includes Docker deployment.
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·3 min
3 Claude Code Skills That Free Test Engineers from Repetitive Work
Stop using Claude Code as a chatbot. Here are 3 Skills for test engineers — bug report generator, code analyzer, script builder — configured once, used forever.
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·3 min
PostgreSQL Lock Contention: The Root Cause and Solutions for High-Concurrency Scalability Bottlenecks
An in-depth analysis of PostgreSQL's lock scalability bottlenecks under high concurrency: LWLock contention, the cost of the multi-process model, negative scaling, and practical strategies like connection pooling, transaction optimization, and horizontal scaling.
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·7 min
GitHub Copilot in Practice: The Capability Boundaries of AI Programming and the Irreplaceable Value of Humans
A developer's real case of building a dental clinic management system with GitHub Copilot and Azure SQL, revealing AI coding limits in cloud security config and how Human-in-the-Loop breaks through.
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·6 min
Connecting SQL Projects to Azure DevOps Pipelines: A Hands-On Guide to Automated Builds and Secure Deployment
Learn how to connect SSMS SQL projects to an Azure DevOps CI/CD pipeline—covering YAML build config, SQL code quality analysis, managed identity authentication, and dynamic firewall rules for secure Azure SQL deployment.
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·3 min
Microsoft SQL Major Upgrade: AI Capabilities, Security Enhancements, and Fabric Integration — A Deep Dive
Microsoft SQL team's major updates: Azure SQL adds AI embeddings and dynamic data masking, Fabric SQL gets a Migration Assistant and Fabric Apps, SQL Server CU5 brings memory improvements, SSMS adds a SQL Formatter and Agent mode, and DP-800 certification is now open.
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