Practical Envisioning of Software Architecture
Practical Envisioning of Software Architecture
Articles and posts related to Software Architecture
Estimated Reading Time: 8 minutesWhat defines a software architecture as Monolithic Architecture isn’t how it’s structured on the inside, but the fact that it’s deployed as a single, tightly coupled unit.
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Estimated Reading Time: 5 minutesBuilding Microservices, 2nd Edition, by Sam Newman, offers not only practical strategies for designing complex systems and decomposing monolithic ecosystems but also valuable insights into evolutionary architecture, the approach that embraces change by allowing systems to adapt over time rather than remain static.
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Estimated Reading Time: 6 minutesSimply keeping the lights on isn’t enough anymore. Organizations need more than just functioning systems. They need systems that can grow, adapt, and improve over time. That means rethinking managed services not just as a way to maintain operations, but as a foundation for ongoing transformation.
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Estimated Reading Time: 8 minutesThe Transformation journey shouldn’t end with architecture diagrams or deployed services. It needs to grow into a living, breathing system, one that thrives on ongoing continuous improvement. To make that happen, we need to build a framework that consistently checks for alignment with business goals, detects system health issues early and supports small, safe, and iterative changes
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Estimated Reading Time: 8 minutesHybrid AI systems are designed to balance performance and efficiency, using SLMs for quick, routine tasks and turning to LLMs when deeper reasoning or context is needed.
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Estimated Reading Time: 9 minutesAddressing Unexpected Outcomes As explained in Part One, the SEDA framework consists of four steps, each of which was briefly discussed. The third step, Addressing Unexpected Outcomes, is what
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Estimated Reading Time: 12 minutesLLMOps, short for Large Language Model Operations, is a growing field that focuses on managing the entire lifecycle of large language models like GPT, LLaMA, Claude, and Mistral. Think of
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Estimated Reading Time: 9 minutesSmall Language Models (SLMs) are streamlined versions of large language models or LLMs like GPT-4. With fewer parameters under the hood, they’re faster, more affordable, and easier to run,
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Estimated Reading Time: 7 minutesBottom-Up System Design through Domain-Centric Transformation As explained in Part One, the SEDA framework consists of four steps, each of which was briefly discussed. The second step, Bottom-Up System
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Estimated Reading Time: 7 minutesIn nearly every major software transformation, there’s one undeniable reality: legacy code is the elephant in the room. It runs mission-critical systems, processes billions in transactions, and holds years,
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