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Cloudflare Reclaims 100 TB of RAM by Optimizing Consistent Hashing
Cloudflare recently documented how it reduced the memory footprint of its internal load-balancing service by more than 100 TB by optimizing the Rust implementation of consistent hashing in pingora-ketama. The changes compacted hash-ring entries and used statistical analysis of hash distribution and collision rates to reduce the number of hashes per backend by about 90%.
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AWS Introduces Preview of Well-Architected Agent
AWS recently announced the preview of the Well-Architected Agent, a service that analyzes environments against Well-Architected best practices and provides prioritized recommendations across cost, security, performance, and reliability. The AI agent can also suggest remediation steps and review infrastructure-as-code before deployment.
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Home Made CobbleDB Replaces DynamoDB at Perplexity to Cut Query Latency 5x and Reduce Cloud Storage
Perplexity has migrated its search infrastructure from Amazon DynamoDB to CobbleDB, an internally developed key-value store in Rust. This change reduced latency and costs associated with handling large document batches. The new architecture supports high query volumes more efficiently, achieving improved latency and reduced storage expenses while managing significant production traffic.
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Dropbox Outlines How Focusing on Existing Infrastructure Efficiency Can Create Headroom for AI
Dropbox has outlined how a decade of infrastructure optimization is helping it absorb growing demand from AI without treating new data-center capacity as the only answer. Its work spans forecasting, fleet utilization, storage density, hardware lifecycles, and rack-level power delivery, much of it predating the current AI boom.
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Uber’s Zero Growth Stack: Scaling Services, While Optimising Infrastructure and AI Cost
Uber's "Zero Growth Stack" focuses on scalable infrastructure that separates capacity growth from business demand, reducing hardware needs while enhancing service scaling. Central to this is garbage collection optimisation. Additionally, generative AI is integrated into development, elevating developer productivity while introducing cost management measures to maintain economic efficiency.