Scalegrid

JANUARY 25, 2024

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures.

Metrics 130

Metrics Monitoring Latency Cache 130

Randon ASCII

JANUARY 12, 2022

The Xbox 360 CPU had three PowerPC cores and a 1 MB L2 cache and these features are clearly visible on the wafer. In the die picture to the right (which looks to be about 14 mm by 12 mm) you can see the regular pattern of small black rectangles in the bottom right corner – that’s the L2 cache. I wrote a lot of benchmarks.

Cache 126

Cache Latency Benchmarking Hardware 126

Percona

JUNE 22, 2023

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. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.

Performance 105

Performance Monitoring Traffic Database 105

SQL Performance

NOVEMBER 18, 2019

Compute optimized – High CPU-to-memory ration, medium traffic web servers and application servers. Memory optimized – High memory-to-CPU ratio, relational database servers, medium to large caches, and in-memory analytics. Benchmark Test. For a real production test, this should be large enough to help avoid hitting cache.

Azure 76

Azure Benchmarking Storage Virtualization 76

Percona

SEPTEMBER 1, 2023

Query plan analysis can also provide valuable insights. Efficient memory management, including optimizing query caches and buffer pools, can help strike the right balance between memory consumption and query response times. Another highly beneficial caching method is key-value caching.

Tuning 52

Tuning Database Performance Hardware 52

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. ASPLOS’19. Distributed tracing and instrumentation.

Big Data 45

Big Data Cloud Performance Hardware 45

John McCalpin

APRIL 2, 2020

With a staff of slightly over 175 full-time employees (less than 1/2 in consulting roles), we must therefore focus on highly-leveraged performance analysis projects, rather than labor-intensive ones. Here I assumed a particular analytical function for the amount of memory traffic as a function of cache size to scale the bandwidth time.

Benchmarking 59

Benchmarking Performance Latency Architecture 59