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Optimizing your Kubernetes clusters without breaking the bank

Dynatrace

Tuning thousands of parameters has become an impossible task to achieve via a manual and time-consuming approach. The optimization goal was to improve the application efficiency, that is to improve the ratio between service throughput and cloud costs while not increasing the application latency (e.g. The Akamas approach.

Latency 196
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The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. Measuring the speed of time Is there already a microbenchmark for os::javaTimeMillis()? I've shared many posts about superpower observability tools, but often humble hacking is just as effective. Try changing the kernel clocksource.

Speed 126
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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. Similarly, an increased throughput signifies an intensive workload on a server and a larger latency.

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 to Improve MySQL AWS Performance 2X Over Amazon RDS at The Same Cost

Scalegrid

As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure. Reads and writes to your Primary, and even reads from Slave-1 will work at SSD speed. Amazon RDS.

AWS 183
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Top 10 Tips for Making the Spark + Alluxio Stack Blazing Fast

DZone

In addition, compute and storage are increasingly being separated causing larger latencies for queries. This article provides the top 10 tips for performance tuning for real-world workloads when running Spark on Alluxio with data locality, giving the most bang for the buck. The first few tips are related to locality.

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Mastering MongoDB® Timeout Settings

Scalegrid

Increasing the server selection timeout value can help improve network connectivity as well as speed up the overall performance of your system by modifying connectTimeoutMS option present inside the MongoDB driver. Fine-tuning these settings would lead to improved performance and provide an enhanced user experience. <p>The

Java 130