
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…
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Feature Modular Monolith Microservices Architecture Coupling Loosely coupled at the module level. Fully decoupled, independent services. Communication In-memor…
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The Problem: There are many issues with Microservices. Complexity, skills, knowledge and management are some of those. Not every architecture needs to be broke…
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For heterogenous data sources and compute. An abstraction and middleware for data and formats.
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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 …
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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…
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The reality: businesses are drowning in microtasks Whether you’re a scaling startup or a mature enterprise, your team is likely spending more time managing wor…
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Use Cases of AI in Banking Artificial Intelligence (AI) has revolutionised traditional operations and initiated a new era of efficiency and innovation. Here ar…
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Appian Appian is a low-code platform built on the philosophy of “Total Experience.” Its primary strength lies in end-to-end process automation and …
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Ten key issues with AI. No. Issue Definition Impact Cause 1 Hallucinations and Factual Inaccuracy AI models can produce incorrect or fabricated outputs. Critic…
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Gemini (Current Capabilities & Strengths): Feature Description Multimodality from the Core Designed from the ground up to be multimodal, can natively proce…
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While Microsoft Azure also doesn’t have a single, explicitly branded ‘Agentic AI’ service, it offers a rich set of tools and services that em…
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In order to manage data – migrations and operational updates – it has been necessary to take raw data and parse or process it, into both OLTP (on l…
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