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Evolution of search engines architecture - Algolia New Search Architecture Part 1

High Scalability

What would a totally new search engine architecture look like? Search engines, and more generally, information retrieval systems, play a central role in almost all of today’s technical stacks. After more than 30 years of evolution since TREC, search engines continue to grow and evolve, leading to new challenges.

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Bridging the Observability Gap for Modern Cloud Architectures

DZone

Cloud-native architectures have brought immense complexity along with increased business agility. But with this complexity comes fragility and lack of transparency into system performance and reliability.

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Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. Five of the most common include cluster instability, resource and cost management, security, observability, and stress on engineering teams.

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Optimizing Generative AI With Retrieval-Augmented Generation: Architecture, Algorithms, and Applications Overview

DZone

This article is intended for data scientists, AI researchers, machine learning engineers, and advanced practitioners in the field of artificial intelligence who have a solid grounding in machine learning concepts, natural language processing , and deep learning architectures.

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Data Integration in Real-Time Systems

DZone

This article delves into the paradigm shift from traditional to real-time data integration, examines its architectural nuances, and contemplates its profound impact on decision-making and business processes. The new norm is real-time data integration, and it’s transforming the way companies make decisions and conduct their operations.

Systems 281
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Architecture Patterns: The Circuit-Breaker

DZone

In the world of distributed systems, the likelihood of components failing or becoming unresponsive is higher compared to monolithic systems. Therefore, resilience — the ability of a system to handle and recover from failures — becomes critically important in distributed environments.

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DevOps engineer tools: Deploy, test, evaluate, repeat

Dynatrace

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. DevOps engineer tools can help ease the pressure as environment complexity grows. ” What does a DevOps platform engineer do? .” Atlassian Jira.

DevOps 190