Remove Infrastructure Remove Performance Remove System Design
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How ML System Design helps us to make better ML products

Xebia

Table of Contents What is Machine Learning System Design? Design Process Clarify requirements Frame problem as an ML task Identify data sources and their availability Model development Serve predictions Observability Iterate on your design What is Machine Learning System Design?

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Overcoming the 6 barriers to IT modernization

CIO

It adopted a microservices architecture to decouple legacy components, allowing for incremental updates without disrupting the entire system. Additionally, leveraging cloud-based solutions reduced the burden of maintaining on-premises infrastructure.

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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. As organizations increasingly migrate to the cloud, however, CIOs face the daunting challenge of navigating a complex and rapidly evolving cloud ecosystem.

Cloud 147
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Netflix’s Distributed Counter Abstraction

Netflix Tech

This counting service, built on top of the TimeSeries Abstraction, enables distributed counting at scale while maintaining similar low latency performance. However, this category requires near-immediate access to the current count at low latencies, all while keeping infrastructure costs to a minimum.

Windows 100
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High-performance computing on AWS

Xebia

How does High-Performance Computing on AWS differ from regular computing? For this HPC will bring massive parallel computing, cluster and workload managers and high-performance components to the table. No ageing infrastructure. <span></span> The post High-performance computing on AWS appeared first on Xebia.

AWS 147
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Why GreenOps will succeed where FinOps is failing

CIO

By emphasizing immediate cost-cutting, FinOps often encourages behaviors that compromise long-term goals such as performance, availability, scalability and sustainability. Designing highly efficient, dynamic architectures to optimize sustainability is a complex process and a new skill set for most architects. Short-term focus.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements. In contrast, more complex questions might require the application to summarize a lengthy dissertation by performing deeper analysis, comparison, and evaluation of the research results.