Remove Latency Remove Performance Remove Systems
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Optimizing Database Performance in Middleware Applications

DZone

In the realm of modern software architecture, middleware plays a pivotal role in connecting various components of distributed systems. Efficient database operations in middleware can dramatically improve overall system performance, reduce latency, and enhance user experience.

Database 222
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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 251
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Optimising for High Latency Environments

CSS Wizardry

This gives fascinating insights into the network topography of our visitors, and how much we might be impacted by high latency regions. Round-trip-time (RTT) is basically a measure of latency—how long did it take to get from one endpoint to another and back again? What is RTT? RTT isn’t a you-thing, it’s a them-thing. Go and sign up.

Latency 244
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How to Optimize CPU Performance Through Isolation and System Tuning

DZone

CPU isolation and efficient system management are critical for any application which requires low-latency and high-performance computing. These measures are especially important for high-frequency trading systems, where split-second decisions on buying and selling stocks must be made.

Tuning 253
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Rapid Event Notification System at Netflix

The Netflix TechBlog

By: Ankush Gulati , David Gevorkyan Additional credits: Michael Clark , Gokhan Ozer Intro Netflix has more than 220 million active members who perform a variety of actions throughout each session, ranging from renaming a profile to watching a title.

Systems 334
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Seeing through hardware counters: a journey to threefold performance increase

The Netflix TechBlog

A quick canary test was free of errors and showed lower latency, which is expected given that our standard canary setup routes an equal amount of traffic to both the baseline running on 4xl and the canary on 12xl. What’s worse, average latency degraded by more than 50%, with both CPU and latency patterns becoming more “choppy.”

Hardware 363
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Single-core memory bandwidth: Latency, Bandwidth, and Concurrency

John McCalpin

Understanding sustained memory bandwidth in these systems starts with assuming 100% utilization and then reviewing the factors that get in the way (e.g., What about single-core performance? This requires a completely different approach to modeling the memory system — one based on Little’s Law from queueing theory.

Latency 71