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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

This article is to simply report the YCSB bench test results in detail for five NoSQL databases namely Redis, MongoDB, Couchbase, Yugabyte and BangDB and compare the result side by side. Redis Server: 5.07, x86/64. MongoDB server: 4.4.2, BangDB server: 2.0.0, Author & founder of BangDB. About YCSB. YugabyteDB:2.5.0,

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How to use Server Timing to get backend transparency from your CDN

Speed Curve

Server-timing headers are a key tool in understanding what's happening within that black box of Time to First Byte (TTFB). Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold.

Servers 57
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Implementing service-level objectives to improve software quality

Dynatrace

Instead, they can ensure that services comport with the pre-established benchmarks. Using data from Dynatrace and its SLO wizard , teams can easily benchmark meaningful, user-based reliability measurements and establish error budgets to implement SLOs that meet business objectives and drive greater DevOps automation. Availability.

Software 266
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High Availability vs. Fault Tolerance: Is FT’s 00.001% Edge in Uptime Worth the Headache?

Percona

With so much at stake, database high availability and fault tolerance have become must-have items, but many companies just aren’t certain which one they must have. This blog article will examine shared attributes of high availability (HA) and fault tolerance (FT). What does high availability mean?

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In Defence of DOM­Content­Loaded

CSS Wizardry

Honestly, I started writing this article, for no real reason and somewhat without context, in December 2022—over half a year ago! TTFB is a good measure of your server response times and general back-end health, and issues here may have knock-on effects later down the line (namely with Largest Contentful Paint).

Metrics 326
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Redis vs Memcached in 2024

Scalegrid

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. Data transfer technology.

Cache 130
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SQL Server Index Fill factor with Performance Benchmark

SQL Shack

In this article, we will study in detail about the how SQL Server Index Fill factor works. Index Fill factor SQL Server Index Fill Factor is a percentage value to be filled data page with data in SQL Server. This option is available in index properties to manage data storage in the data pages. It […].