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

High Scalability

Redis Server: 5.07, x86/64. MongoDB server: 4.4.2, BangDB server: 2.0.0, Application example: user profile cache, where profiles are constructed elsewhere (e.g., Here Redis and Yugabyte have higher latencies, Yugabyte performs bad for both Insert and Read for the test. Yugabyte performs really good in this test.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

RedisĀ® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. You might already use ScaleGrid hosting for Redis hosting to power your performance-sensitive applications.

Metrics 130
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How to use Server Timing to get backend transparency from your CDN

Speed Curve

That performance golden rule still holds true today. Server-timing headers are a key tool in understanding what's happening within that black box of Time to First Byte (TTFB). Server-timing headers are a key tool in understanding what's happening within that black box of Time to First Byte (TTFB).

Servers 57
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MySQL Key Performance Indicators (KPI) With PMM

Percona

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

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Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. When it comes to performance, you shouldnā€™t be stingy. The resource loading waterfall is a cascade of files downloaded from the network server to the client to load your website from start to finish.

Cache 125
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Measure What You Impact, Not What You Influence

CSS Wizardry

A thing I see developers do time and time again is make performance-facing changes to their sites and apps, but mistakes in how they measure them often lead to incorrect conclusions about the effectiveness of that work. Problems When Measuring Performance. For example, continuing our task to reduce CSS size: performance.

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How to Assess MySQL Performance

HammerDB

Predicting application performance is a difficult art, but an important one when choosing the target deployment environment. In this blog, we aim to call out some key considerations when trying to assess MySQL performance for your application. We will not concern ourselves with the raw throughput of workload.