Remove Availability Remove Latency Remove Servers
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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? That’s exactly what this article is about.

Latency 202
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Investigation of a Workbench UI Latency Issue

The Netflix TechBlog

Using this approach, we observed latencies ranging from 1 to 10 seconds, averaging 7.4 the ipykernel process) of the jupyter-lab server process , which means the main event loop being injected by pystan is that of the ipykernel process, not the jupyter-server process. The input to stdin is sent to the backend (i.e.,

Latency 211
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Comparing Approaches to Durability in Low Latency Messaging Queues

DZone

A significant feature of Chronicle Queue Enterprise is support for TCP replication across multiple servers to ensure the high availability of application infrastructure. Little’s Law and Why Latency Matters. In many cases, the assumption is that as long as throughput is high enough, the latency won’t be a problem.

Latency 275
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Balancing Low Latency, High Availability, and Cloud Choice

VoltDB

Balancing Low Latency, High Availability and Cloud Choice Cloud hosting is no longer just an option — it’s now, in many cases, the default choice. Let’s look at the top cloud computing use cases, the use cases for which cloud probably isn’t the best route available, and the use cases where a hybrid approach may be best.

Latency 52
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FIFO vs. LIFO: Which Queueing Strategy Is Better for Availability and Latency?

DZone

As an engineer, you probably know that server performance under heavy load is crucial for maintaining the availability and responsiveness of your services. But what happens when traffic bursts overwhelm your system? Queueing requests is a common solution, but what's the best approach: FIFO or LIFO?

Strategy 147
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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 224
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Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. It also serves as central configuration of access patterns such as consistency or latency targets. Useful for keeping “n-newest” or prefix path deletion.

Latency 248