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969 articles in Guide · Page 8 of 49
AI Agents in Production: MCP Server Design Patterns
Production-ready MCP server design patterns for AI agents. Real architectures, code patterns, operational quirks, and scaling strategies for agentic AI systems.
Apache Superset + Databricks: A D23.io Reference Architecture
Production-grade Apache Superset + Databricks architecture for analytics. Connection patterns, query optimisation, caching, and operational insights from D23.io deployments.
Apache Superset + dbt: Performance Tuning
Master Apache Superset + dbt performance tuning. Configuration patterns, benchmarks, and operational habits for fast dashboards at scale.
Apache Superset for Self-Service Analytics: A D23.io Implementation Pattern
Build production self-service analytics with Apache Superset. Data modelling, dashboard design, sharing patterns, and PADISO's proven implementation framework.
Claude Model Routing: The 2026 Cost Lever You Are Underusing
Master Claude model routing to cut AI costs 40-60%. Real benchmarks, code patterns, and implementation strategies for production systems in 2026.
Using Haiku 4.5 for Vision and OCR Workflows: Patterns and Pitfalls
Production-grade patterns for deploying Haiku 4.5 on vision and OCR workflows. Covers prompt design, output validation, cost optimisation, and failure modes.
Migrating from Power BI to Superset for Mid-Market Organisations
Complete migration playbook: Power BI to Superset for mid-market teams. Scoping, governance, costs, cutover patterns and real timelines.
Migrating from Tableau to Superset for Enterprise Organisations
Complete enterprise migration guide from Tableau to Superset. Covers scoping, governance, costs, cutover patterns, and real-world playbooks for data teams.
Opus 4.6 vs Mistral Large 2: A Production Decision Guide
Compare Claude Opus 4.6 and Mistral Large 2 for production AI workloads. Benchmark latency, accuracy, cost, and tool-use reliability with a routing decision tree.
Opus 4.7 in Retail: A 2026 Adoption Playbook
Deploy Opus 4.7 in production retail. Real architectures, data residency, governance, ROI benchmarks, and the specific tasks where Opus 4.7 earns its keep in 2026.
Portfolio-Wide AI Operating Model for Insurance
Build a repeatable AI operating model across insurance portfolio companies. Diligence, value-creation playbook, and exit positioning with real benchmarks.
The Real Estate AI Operating Model in 2026
End-to-end AI operating model for real estate. Governance, build vs buy, vendor selection, and maturity curve from pilot to portfolio-wide deployment.
Sonnet 4.5 vs Gemini 2.5 Flash: A Production Decision Guide
Compare Claude Sonnet 4.5 and Gemini 2.5 Flash: latency, accuracy, cost, and tool-use. Includes benchmarks and routing logic for production AI workloads.
Using Sonnet 4.6 for Real-Time Streaming Chat: Patterns and Pitfalls
Production patterns for deploying Claude Sonnet 4.6 in real-time streaming chat. Prompt design, validation, cost optimisation, and failure modes.
Using Haiku 4.5 for Loan Origination: Patterns and Pitfalls
Production-grade patterns for deploying Haiku 4.5 on loan origination. Prompt design, validation, cost optimisation, and failure modes engineering teams hit most.
Using Opus 4.6 for Marketing Brief Generation: Patterns and Pitfalls
Production-grade patterns for deploying Opus 4.6 on marketing briefs. Prompt design, output validation, cost optimisation, and failure modes engineering teams hit.
Why Mid-Market Buyers Choose D23.io for On-Call Coverage
Discover why mid-market companies select D23.io managed Superset for on-call coverage, reliability, and operational excellence over self-hosting and competitors.
Why Mid-Market Buyers Choose D23.io for Multi-Region Deployment
Discover why mid-market companies select D23.io's managed Superset for multi-region BI. Compare deployment options, costs, and operational complexity.
Apache Superset + ClickHouse: Caching Strategy
Master Superset + ClickHouse caching: query cache, result caching, configuration patterns, benchmarks and operational habits for fast dashboards.
Apache Superset + dbt: A D23.io Reference Architecture
Production-ready Superset + dbt architecture: connection patterns, query performance, caching strategies, and operational best practices from D23.io deployments.