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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. All these contribute significantly towards ensuring smooth functioning.

Metrics 130
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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness. What is PostgreSQL performance tuning?

Tuning 52
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Compress objects, not cache lines: an object-based compressed memory hierarchy

The Morning Paper

Compress objects, not cache lines: an object-based compressed memory hierarchy Tsai & Sanchez, ASPLOS’19. Existing cache and main memory compression techniques compress data in small fixed-size blocks, typically cache lines. ” The big idea.

Cache 61
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MySQL Key Performance Indicators (KPI) With PMM

Percona

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

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20X Faster Backup Preparation With Percona XtraBackup 8.0.33-28!

Percona

After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. Initializing a DD engine and the cache adds complexity and other server dependencies. Essentially LRU cache is disabled by loading the tables as non-evictable. ibd2sdi data/test/t1.ibd

Cache 83
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Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

On your first try, you can use it as a benchmark for optimizations later. Active Memory Caching. When you want to get data that you already had quickly, you need to do cachingcaching stores data that a user recently retrieved. Caching partially stores your data and is not used as permanent storage.

Cache 125
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A MyRocks Use Case

Percona

Although MyRocks is very efficient for writes, I chose a more generic workload that will provide a different MyRocks use case. The use case is the TPC-C benchmark but executed not on a high-end server but on a lower-spec virtual machine that is I/O limited like for example, with AWS EBS volumes. InnoDB and MyRocks dataset sizes.

Storage 55