Cloud Blog

Azure Data Lake Concept summarised.

Azure Data Lake Concepts summarised. Why Delta Lake in Azure is a best practices implementation of a Data Lakehouse concept. ==END

Function App workflow and AI workloads

Function App Role in an AI Data Flow A Function App is typically used for serverless, small-scale, and responsive tasks, ensuring the overall pipeline remains …

Azure Delta Lake

Typical example of a Delta Lake and ‘Lakehouse’ architecture. The Delta Lake format as the primary storage layer for the Bronze and Gold zones is c…

Azure, AI RAG and issues

RAG or Retrieval Augmented Generation services some standard use cases. Use Case: Customised AI system to address externally facing processes and to build busi…

CoPilot Agents at a Client

Azure Copilot and AI

Component Role Why It’s Needed Copilot / Client Application The user-facing interface where a query or request is initiated. This is the starting point o…

AI to automate SFA, CRM tasks

In today’s competitive landscape, businesses are moving beyond traditional Customer Relationship Management (CRM) and Sales Force Automation (SFA) to emb…

Modu-Liths vs Micro-Services Summarised

Feature Modular Monolith Microservices Architecture Coupling Loosely coupled at the module level. Fully decoupled, independent services. Communication In-memor…

The Modu-Lith vs Micro-Services

The Problem: There are many issues with Microservices. Complexity, skills, knowledge and management are some of those. Not every architecture needs to be broke…

Iceberg Architecture

For heterogenous data sources and compute. An abstraction and middleware for data and formats.

AI Prompt Engineering with LLM

Case study example This is a difficult architecture to realise, but there are some firms which are pursuing this. In essence the LLM gives the end user facing …

Azure vs AWS Low Code

1. AWS Equivalents for Azure Functions and Logic Apps Azure Functions (Low-code/No-code Functions as a Service): AWS Equivalent: AWS Lambda. This is the core s…