Remove Design Remove Latency Remove Open Source
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Why applying chaos engineering to data-intensive applications matters

Dynatrace

This high level of abstraction is provided by industry-grade, open source stream processing frameworks such as Kafka Streams , Apache Flink , and Spark Structured Streaming. Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively.

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Using Pausers in Event Loops

DZone

Typically in low-latency development, a trade-off must be made between minimizing latency and avoiding excessive CPU utilization. An important design consideration is how threads become aware that there is work to do, with some general approaches including: Description of the Problem.

Latency 130
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MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

Scalegrid

MySQL is the number one open source database that’s commonly hosted through Azure instances. ScaleGrid MySQL on Azure so you can see which provider offers the best throughput and latency performance. We measure latency in ms 95th percentile latency. At a glance – TLDR. Read-Intensive Workloads.

Azure 299
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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

Systems 236
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100
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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

## References I've reproduced the talk references below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency? Ford, et al., “TCP