Practical Envisioning of Software Architecture
Practical Envisioning of Software Architecture
Estimated Reading Time: 6 minutesIn today’s hyper-dynamic digital ecosystems, the traditional model of Managed Services1 is no longer up to the task. Designed initially for stability
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Estimated Reading Time: 8 minutesEmbedding an Evolutionary Principles for Transformation The Transformation journey shouldn’t end with architecture diagrams or deployed services. It needs to grow into
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Estimated Reading Time: 8 minutesThe Intelligence Dilemma With breakthroughs like GPT-4, it’s no surprise that Large Language Models (LLMs) have captured so much attention. Their ability
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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
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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
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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
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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
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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,
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Estimated Reading Time: 6 minutesIn today’s fast-moving world of software development, applications aren’t built from scratch anymore. They’re assembled. We stitch them together using combination of
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Estimated Reading Time: 7 minutesIn recent years, microservices have emerged as the go-to approach for building scalable, distributed systems. By decomposing large, monolithic applications into smaller,
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