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Articles tagged with #scalability
Strategy is often described as a plan, but in practice it is a long-term commitment to a direction, and a discipline for decision-making. As Enterprise Architects, we sit at the intersection of intent and execution. Our role is not merely to document...
The rapid evolution of large language models (LLMs) has brought unprecedented capabilities to artificial intelligence, but it has also introduced significant challenges in computational cost, scalability, and efficiency. The Mixture of Experts (MoE) ...
Deploying Large Language Models (LLMs) for inference is a complex yet rewarding process that requires balancing performance, cost, and scalability. Optimizing and sizing LLM inference systems involves understanding tradeoffs, selecting the right tool...
In the era of big data, processing and generating large datasets across distributed systems can be challenging. Enter MapReduce, a programming model that simplifies distributed data processing. Developed at Google by Jeffrey Dean and Sanjay Ghemawat,...
Asynchronous messaging is a cornerstone of modern distributed systems. It enables decoupling between services, improves scalability, and facilitates fault tolerance. However, adopting this paradigm comes with its own set of challenges. In this blog p...
Autoscaling is a powerful feature in Kubernetes that ensures your applications scale dynamically to handle increasing or decreasing traffic. However, one common question is: How fast can Kubernetes scale out, and how much traffic can it handle? Two L...