Remove Latency Remove Processing Remove Speed
article thumbnail

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 202
article thumbnail

What are quality gates? How to use quality gates to deliver better software at speed and scale

Dynatrace

Open vulnerability on process group: The total number of currently high-profile vulnerabilities related to a process group. Vulnerability score: The highest vulnerability risk score for a process group. This way, the travel agency can easily streamline, organize, and consolidate their quality gates and metric evaluation process.

Speed 219
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Latency vs. Throughput: Navigating the Digital Highway

VoltDB

In this fast-paced ecosystem, two vital elements determine the efficiency of this traffic: latency and throughput. LATENCY: THE WAITING GAME Latency is like the time you spend waiting in line at your local coffee shop. All these moments combined represent latency – the time it takes for your order to reach your hands.

Latency 52
article thumbnail

Incremental Processing using Netflix Maestro and Apache Iceberg

The Netflix TechBlog

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

article thumbnail

Transforming Business Outcomes Through Strategic NoSQL Database Selection

DZone

Factors like read and write speed, latency, and data distribution methods are essential. But if your application primarily revolves around batch processing of large datasets, then focusing on write speed could mislead your selection process. How do these metrics translate into real-world value for your business?

Database 278
article thumbnail

Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

article thumbnail

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. Even then, AWS can elect to ‘move’ your server to different physical hardware without warning, a process that involves ‘only’ a few seconds of downtime. Why are they refusing?

Latency 52