Gigaversity.inย โขย 5m
Behind every robust application lies a well-thought-out architecture. Understanding how software is structured isnโt just for architects โ itโs essential for anyone building or working with modern systems. Today, weโve shared a visual breakdown of three foundational architecture styles: Monolith, Modular Monolith, and Microservices. Each brings a different approach to scalability, maintainability, and team collaboration. This post isnโt about which is better โ itโs about knowing the strengths and trade-offs of each, so you can make informed decisions when it matters most. Have you worked with any of these architectures? What was your biggest learning or challenge? Letโs discuss in the comments.




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Zwishhย โขย 2m
โ๏ธ Rethink Microservices for Startups Microservices sound cool โ until your small team is maintaining 10 services, paying 10x infra cost, and debugging API chains across containers. If youโre an early-stage startup: ๐ Keep your core as a monolith
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Full Stack Web Devel...ย โขย 3m
Technical debtโextra rework from quick fixesโaccrues interest and blocks innovation; nearly 60% of IT leaders cite it as a major barrier. Architectural observability tools like SonarQube and vFunction help teams identify, quantify and reduce debt: So
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Iโm building an AI-first architectural engine that converts natural language prompts into parametric, code-compliant floor plans. It's powered by a fine-tuned Mistral LLM orchestrating a multi-model architecture โ spatial parsing, geometric reasonin
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CEO at Cawlabย โขย 1y
Hi Everyone we are Building an AI Architecture software for the Architects that can generate the building plan with some parameters like Site dimensions, facing and Number of bedrooms the plan will generate with the principle of vastu floor configu
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Serverless vs. microservices isnโt binary: each fits different needs. Netflix used hundreds of microservices to gain team autonomy, fault isolation and high throughput but accepted heavy ops, service discovery and tracing. The Guardian saved cost and
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Automated code quality assurance should be integrated at the architectural level to reduce defects, boost productivity and collaborationโover 50% of software project failures are linked to poor code quality. Design choices like microservices and even
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AI Isnโt the Sidekick โ Itโs the Main Character We need to stop framing AI as the helper. Itโs not: A co-pilot to the thing A companion to the thing An assistant to the thing Because here's the truth: AI is the thing. Itโs not on the sidelines anym
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Gigaversity.inย โขย 8m
We continuously explore tools that accelerate development and improve efficiency. Like many engineering teams, we adopted GitHub Copilot to assist in generating React components. However, we quickly encountered challenges: ๐น Excessive prop drillin
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Marketing & Systems ...ย โขย 11m
Struggling with bottlenecks,Wasted resources, or stagnant growth? The future of organizational success lies in systems optimization 1๏ธโฃ Hyperautomation Combine RPA, AI, and process mining to eliminate repetitive tasks and streamline workflows.
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