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Optimizing Database Performance in Middleware Applications

DZone

Efficient database operations in middleware can dramatically improve overall system performance, reduce latency, and enhance user experience. This blog post explores various techniques to optimize database performance , specifically in the context of middleware applications.

Database 222
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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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Dynatrace on Microsoft Azure in Australia enables regional customers to leverage AI-powered observability

Dynatrace

Optimized performance and enhanced customer experiences. This local SaaS presence minimizes latency and maximizes the speed and reliability of data access. Dynatrace on Microsoft Azure allows enterprises to streamline deployment, gain critical insights, and automate manual processes. The result?

Azure 278
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Understanding and Managing Latency in APISIX: A Comprehensive Technical Guide

DZone

A common query from users revolves around the precise measurement of latency in APISIX. When utilizing APISIX, how should one address unusually high latency? In reality, discussions on latency measurement are centered around the performance and response time of API requests.

Latency 261
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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 247
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Single-core memory bandwidth: Latency, Bandwidth, and Concurrency

John McCalpin

What about single-core performance? “Latency” is the duration from the execution of a load instruction (to an address that misses in all the caches), and the completion of that load instruction when the data is returned from memory. The example below is for a 2005-era processor with 60 ns memory latency and 6.4

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Reducing Network Latency and Improving Read Performance With CockroachDB and PolyScale.ai

DZone

This versatility provides a cost-effective solution to reduce global network latency by bringing the database closer to the end user. PolyScale operates a global network of PoPs (Points of Presence). Think of PoPs as regional database connections.

Latency 242