Remove Latency Remove Speed Remove Strategy
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Cut costs and complexity: 5 strategies for reducing tool sprawl with Dynatrace

Dynatrace

Here are five strategies executives can pursue to reduce tool sprawl, lower costs, and increase operational efficiency. Generative AI enhances response speed and clarity, accelerating incident resolution and boosting team productivity. Moreover, tool sprawl can increase risks for reliability, security, and compliance.

Strategy 296
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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.

Latency 234
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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

Given that 66% of all websites (and 77% of all requests ) are running HTTP/2, I will not discuss concatenation strategies for HTTP/1.1 Plotted on the same horizontal axis of 1.6s, the waterfalls speak for themselves: 201ms of cumulative latency; 109ms of cumulative download. 4,362ms of cumulative latency; 240ms of cumulative download.

Cache 348
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Introducing Impressions at Netflix

The Netflix TechBlog

We can experiment with different content placements or promotional strategies to boost visibility and engagement. Analyzing impression history, for example, might help determine how well a specific row on the home page is functioning or assess the effectiveness of a merchandising strategy.

Tuning 166
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

With its exchange feature, RabbitMQ enables advanced routing strategies, making it well-suited for workflows that require controlled message flow and guaranteed delivery. Its partitioned log architecture supports both queuing and publish-subscribe models, allowing it to handle large-scale event processing with minimal latency.

Latency 147
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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively. After failures, Kafka Streams’ partition assignment strategy, triggered by rebalances, causes its executions to accumulate more lag. This significantly increases event latency.

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Redis® Monitoring Strategies for 2025

Scalegrid

Identifying key Redis metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130