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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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Cut costs and complexity: 5 strategies for reducing tool sprawl with Dynatrace

Dynatrace

As an executive, I am always seeking simplicity and efficiency to make sure the architecture of the business is as streamlined as possible. Re-indexing data and rehydrating it from cold storage for incident investigation and forensics causes query latency and additional management overhead and cost.

Strategy 296
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

This article outlines the key differences in architecture, performance, and use cases to help determine the best fit for your workload. RabbitMQ follows a message broker model with advanced routing, while Kafkas event streaming architecture uses partitioned logs for distributed processing. What is RabbitMQ? What is Apache Kafka?

Latency 147
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How to Scale Elasticsearch to Solve Your Scalability Issues

DZone

However, the process for effectively scaling Elasticsearch can be nuanced, since one needs a proper understanding of the architecture behind it and of performance tradeoffs. This extra network overhead will easily result in increased latency compared to a single-node architecture where data access is straightforward.

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

John McCalpin

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 cache lines -> 5.6 cache lines -> 5.6

Latency 71
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Apache Doris vs Elasticsearch: An In-Depth Comparative Analysis

DZone

This article offers a detailed comparison across six dimensions: core architecture, query language, real-time capabilities, application scenarios, performance, and enterprise practices.

Analytics 130