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Agentic AI design: An architectural case study

CIO

From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. The analyst firm Forrester named AI agents as one of its top 10 emerging technologies this year and that it will deliver benefits in the next two to five years. Why has agentic AI become the latest rage?

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Why GreenOps will succeed where FinOps is failing

CIO

The implications for cloud adoption are profound, as businesses increasingly rely on these technologies to drive digital transformation, optimize operations and gain competitive advantages. The result was a compromised availability architecture. Long-term value creation.

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Overcoming the 6 barriers to IT modernization

CIO

Legacy systems and technical debt Barrier: Legacy systems, often deeply embedded in an organization’s operations, pose a significant challenge to IT modernization. These outdated systems are not only costly to maintain but also hinder the integration of new technologies, agility, and business value delivery.

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

CIO

Key considerations for cloud strategy and modernization The what: The executive leadership team of business and IT together need to evaluate business needs and their current business challenges, global footprint and current technology landscape and define the companys Northstar, (aka, the what, the vision).

Cloud 147
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A Detailed Guide on Conducting Effective System Design Interviews

Hacker Earth Developers Blog

System design interviews are becoming increasingly popular, and important, as the digital systems we work with become more complex. The term ‘system’ here refers to any set of interdependent modules that work together for a common purpose. Uber, Instagram, and Twitter (now X) are all examples of ‘systems’.

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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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Coach your Architects in Agile Architecture!

Xebia

Some companies ignore architects in their transformation, some will upskill their architects, and some will make the DevOps teams responsible for the architecture. A core problem we see is that those responsible for the transformation have little experience dealing with architecture in an agile way.

Coaching 130