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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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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 244
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Why growing AI adoption requires an AI observability strategy

Dynatrace

An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. They can do so by establishing a solid FinOps strategy. The post Why growing AI adoption requires an AI observability strategy appeared first on Dynatrace news. What is AI observability? Use containerization.

Strategy 288
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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 165
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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 353
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Best Practices for Scaling RabbitMQ

Scalegrid

Youll also learn strategies for maintaining data safety and managing node failures so your RabbitMQ setup is always up to the task. They can be mirrored and configured for either availability or consistency, providing different strategies for managing network partitions.

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FIFO vs. LIFO: Which Queueing Strategy Is Better for Availability and Latency?

DZone

In this post, we'll explore both strategies through a simple simulation in Colab, allowing you to see the impact of changing parameters on system performance. Queueing requests is a common solution, but what's the best approach: FIFO or LIFO? After all, as the saying goes: " I hear and I forget, I see and I remember, I do and I understand.

Strategy 147