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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. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources.

Cache 200
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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

This article is to simply report the YCSB bench test results in detail for five NoSQL databases namely Redis, MongoDB, Couchbase, Yugabyte and BangDB and compare the result side by side. I have used latest versions for each NoSQL DB and have followed the recommendations to run all the databases in optimized conditions. Load and 2.

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

Percona

MySQL performance tuning offers several significant advantages for effective database management and optimization. Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. Experiencing database performance issues?

Tuning 52
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Taskbar Latency and Kernel Calls

Randon ASCII

Sometimes the challenge in trace analysis is to find where the issue is, but for this issue that part of the analysis was trivial. This means that there is no caching between RuntimeBroker.exe and this file. I get cranky when databases do 4-KiB reads but this is amazing. The first signal is the input events.

Latency 79
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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. 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.

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Microservices, events, and upside-down databases

O'Reilly Software

This meant a lot of time was spent on things like cycle time analysis, build pipeline design, test automation, and infrastructure automation. Back then, the most common pattern I saw for service-based systems was sharing a database among multiple services. And data was at the heart of the problem. How do you do that effectively?