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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130
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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52
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How BizDevOps can “shift left” using SLOs to automate quality gates

Dynatrace

Quality gates are benchmarks in the software delivery lifecycle that define specific, measurable, and achievable success criteria a service must meet before moving to the next phase of the software delivery pipeline. For example, improving latency by as little as 0.1 Enforcing benchmarks in real time.

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing. which is difficult when troubleshooting distributed systems.

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Performance Testing - Tools, Steps, and Best Practices

KeyCDN

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Bottlenecks can occur, for example, if you have a sudden surge in traffic that your servers are not equipped to handle. What is Performance Testing?

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Evaluating the Evaluation: A Benchmarking Checklist

Brendan Gregg

A co-worker introduced me to Craig Hanson and Pat Crain's performance mantras, which neatly summarize much of what we do in performance analysis and tuning. These have inspired me to summarize another performance activity: evaluating benchmark accuracy. If the benchmark reported 20k ops/sec, you should ask: why not 40k ops/sec?

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Evaluating the Evaluation: A Benchmarking Checklist

Brendan Gregg

A co-worker introduced me to Craig Hanson and Pat Crain's performance mantras, which neatly summarize much of what we do in performance analysis and tuning. These have inspired me to summarize another performance activity: evaluating benchmark accuracy. If the benchmark reported 20k ops/sec, you should ask: why not 40k ops/sec?