Remove Analysis Remove Benchmarking Remove Hardware Remove Network
article thumbnail

Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. On MySQL, we saw a 1.5X

article thumbnail

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! Hardware implications.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. It’s important to note that recommended throughput levels may vary depending on factors such as operating system type, network bandwidth availability, and hardware quality.

Metrics 130
article thumbnail

Five-nines availability: Always-on infrastructure delivers system availability during the holidays’ peak loads

Dynatrace

Five-nines availability: The ultimate benchmark of system availability. Instead, to speed up response times, applications are now processing most data at the network’s perimeter, closest to the data’s origin. Apply AI for real-time root-cause analysis. But is five nines availability attainable?

article thumbnail

The Ultimate Guide to Database High Availability

Percona

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

article thumbnail

Further improved handling and reliability of OneAgent deployments

Dynatrace

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. As such, it’s quite often a network-shared mount point that multiple hosts use to store third party software and libraries. Dynatrace news.

article thumbnail

MySQL Key Performance Indicators (KPI) With PMM

Percona

long_query_time: Defines the threshold for query execution time, and queries taking longer than this threshold are considered slow and logged for further analysis innodb_buffer_pool_size: Sets the size of the InnoDB buffer pool. This KPI is also directly related to Query Performance and helps improve it.