Insights
Product, design, AI, and engineering perspectives from our team.
Data Warehouse vs Data Lake vs Lakehouse: Which One Do You Need?
Choosing the right data architecture — warehouse, lake, or lakehouse — can make or break your AI initiatives. Each approach serves different needs and impacts your ability to build AI-powered features.
Microservices vs Modular Monolith: Choosing the Right Architecture
Not every application needs microservices. For many mid-market companies, a modular monolith delivers clean architecture benefits without distributed systems complexity. Here's how to choose the right approach for your team in 2026.
Vector Database Guide: Pinecone vs Weaviate vs pgvector
Compare Pinecone, Weaviate, and pgvector for Australian AI applications. Practical guidance on choosing the right vector database for RAG systems, data sovereignty, and scaling requirements.
Cloud Migration Strategy for Australian Mid-Market Businesses
Cloud migration for Australian mid-market companies requires strategic alignment with business objectives, not just technical provider comparisons. Focus on building foundations that enable future growth while managing risk through phased implementation.
API-First Architecture: Why It Matters for AI Readiness
API-first architecture creates the foundation for seamless AI integration by making business data programmatically accessible. Learn practical patterns for retrofitting APIs onto legacy systems and designing interfaces that scale with AI demands.
Modernising .NET Legacy Applications: A Practical Migration Path
.NET Framework modernisation is critical for Australian enterprises, but the challenge is doing it without breaking production systems. The strangler fig pattern offers a safe, incremental approach to migrate legacy applications to modern .NET 8.
From AI Pilot to Production: Scaling Your Proof of Concept
Most AI pilots never reach production deployment due to the gap between proof of concept and operational readiness. Learn how to bridge this gap with proper infrastructure, monitoring, and team planning.
Vector Database Comparison: Pinecone vs Weaviate vs pgvector for RAG
Technical comparison of Pinecone, Weaviate, and pgvector for RAG implementations. Covers performance, costs, deployment options, and Australian data residency requirements to help you choose the right vector database.
AI Consulting Pricing Models in Australia: A Guide for CTOs
Understanding the three main AI consulting pricing models—fixed price, time and materials, and retainer—helps CTOs choose the right commercial approach for different project types and risk profiles. The key is matching pricing structure to project uncertainty and organisational needs.