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MySQL Key Performance Indicators (KPI) With PMM

Percona

Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution. That said, it should also be monitored for usage, which will exhibit the traffic pressuring them.

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Hello INP! Here's everything you need to know about the newest Core Web Vital

Speed Curve

This frustration is hardwired, as you can learn in this post about the psychology of site speed and human happiness.) But we also approach each new metric with an analytical eye. Correlation charts give you a histogram view of all your user traffic, broken out into cohorts based on performance metrics such as INP. for mobile.

Mobile 81
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The Need for Real-Time Device Tracking

ScaleOut Software

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78
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Answering Common Questions About Interpreting Page Speed Reports

Smashing Magazine

Answering Common Questions About Interpreting Page Speed Reports Answering Common Questions About Interpreting Page Speed Reports Geoff Graham 2023-10-31T16:00:00+00:00 2023-10-31T17:06:18+00:00 This article is sponsored by DebugBear Running a performance check on your site isn’t too terribly difficult. It’s right there in the name!

Speed 99
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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. For vertical scaling, Memcached allows augmenting existing servers with additional CPU cores and memory, thereby enhancing the capacity of the caching pool to manage higher traffic volumes and larger data loads.

Cache 130
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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. This allows us to quickly tell whether the network link may be saturated or the processor is running at its limit.

Metrics 166
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Edgar: Solving Mysteries Faster with Observability

The Netflix TechBlog

Edgar captures 100% of interesting traces , as opposed to sampling a small fixed percentage of traffic. In one request hitting just ten services, there might be ten different analytics dashboards and ten different log stores. The downside is that we have so many dashboards. Is this an anomaly or are we dealing with a pattern?

Latency 296