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In a recent article from the engineering team behind the Zero Trust product suite, Cloudflare explains why it chose TimescaleDB over ClickHouse to add analytics and reporting capabilities to its internal platform. The author highlights the “phenomenal balance” between the simplicity of storing analytical data alongside configuration data and the performance of a specialized OLAP system.
Carlos Arguelles spoke about Amazon’s inflection points in engineering productivity at QCon San Francisco, where he explained that shift testing left can help catch issues early. He suggested using guardrails such as code reviews and coverage checks. Your repo strategy, monorepo or multirepo, will impact the guardrails that need to be in place.
Bibek Bhattarai details Intel's AMX, highlighting its role in accelerating deep learning on CPUs. He explains how AMX optimizes GEMM operations using low-precision data (INT8, BF16) and tile-based memory management, boosting performance and efficiency. He shows how to leverage AMX through frameworks like TensorFlow/PyTorch or Intel tools for substantial gains in CPU-deployed AI models.
AWS's new Fair Queues for Amazon SQS revolutionize message handling in multi-tenant systems by mitigating the "noisy neighbor" issue. This feature ensures low message dwell times for quieter tenants without requiring code changes, enhancing both performance and fairness. Developers can effortlessly implement this capability and maintain consistent service quality across applications.
Recently, Pinterest disclosed its internal orchestration framework, called Hadoop Control Center (HCC), to automate the scaling and migration of its large-scale Hadoop clusters. This move addresses the operational complexity and limitations Pinterest previously faced when managing thousands of nodes across dozens of YARN clusters on AWS.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Cloudflare Chooses PostgreSQL Extension Over Specialized OLAP for 100K Row/Second Analytics
In a recent article from the engineering team behind the Zero Trust product suite, Cloudflare explains why it chose TimescaleDB over ClickHouse to add analytics and reporting capabilities to its internal platform. The author highlights the “phenomenal balance” between the simplicity of storing analytical data alongside configuration data and the performance of a specialized OLAP system.
By Renato LosioHow Amazon Uses Guardrails In Software Development
Carlos Arguelles spoke about Amazon’s inflection points in engineering productivity at QCon San Francisco, where he explained that shift testing left can help catch issues early. He suggested using guardrails such as code reviews and coverage checks. Your repo strategy, monorepo or multirepo, will impact the guardrails that need to be in place.
By Ben LindersPresentation: Maximizing Deep Learning Performance on CPUs using Modern Architectures
Bibek Bhattarai details Intel's AMX, highlighting its role in accelerating deep learning on CPUs. He explains how AMX optimizes GEMM operations using low-precision data (INT8, BF16) and tile-based memory management, boosting performance and efficiency. He shows how to leverage AMX through frameworks like TensorFlow/PyTorch or Intel tools for substantial gains in CPU-deployed AI models.
By Bibek BhattaraiAmazon SQS Fair Queues: a New Approach to Multi-Tenant Resiliency
AWS's new Fair Queues for Amazon SQS revolutionize message handling in multi-tenant systems by mitigating the "noisy neighbor" issue. This feature ensures low message dwell times for quieter tenants without requiring code changes, enhancing both performance and fairness. Developers can effortlessly implement this capability and maintain consistent service quality across applications.
By Steef-Jan WiggersPinterest Automates Hadoop Cluster Scaling and Migration with Internal Orchestration System
Recently, Pinterest disclosed its internal orchestration framework, called Hadoop Control Center (HCC), to automate the scaling and migration of its large-scale Hadoop clusters. This move addresses the operational complexity and limitations Pinterest previously faced when managing thousands of nodes across dozens of YARN clusters on AWS.
By Claudio Masolo