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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130
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Implementing service-level objectives to improve software quality

Dynatrace

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. Instead, they can ensure that services comport with the pre-established benchmarks. This process includes benchmarking realistic SLO targets based on statistical and probabilistic analysis from Dynatrace.

Software 269
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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. On MySQL, we saw a 1.5X

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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

RUM gathers information on a variety of performance metrics. Data collected on page load events, for example, can include navigation start (when performance begins to be measured), request start (right before the user makes a request from the server), and speed index metrics (measure page load speed). Real user monitoring limitations.

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

Speed Curve

However, that pesky 20% on the back end can have a big impact on downstream metrics like First Contentful Paint (FCP), Largest Contentful Paint (LCP), and any other 'loading' metric you can think of. Latency – How much time does it take to deliver a packet from A to B. Also measured by round trip time (RTT).

Servers 57
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MySQL Key Performance Indicators (KPI) With PMM

Percona

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. That said, it should also be monitored for usage, which will exhibit the traffic pressuring them. This is not an exhaustive list but an example of what we can watch for.

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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. Tracing as a foundation Logs, metrics, and traces are the three pillars of observability. Telltale provides Edgar with latency benchmarks that indicate if the individual trace’s latency is abnormal for this given service.

Latency 296