Remove Benchmarking Remove Processing Remove Speed Remove Tuning
article thumbnail

PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. What is PostgreSQL performance tuning? Why is PostgreSQL performance tuning important?

Tuning 52
article thumbnail

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
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

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. This plays a crucial role in supervising the replication process.

Metrics 130
article thumbnail

How BizDevOps can “shift left” using SLOs to automate quality gates

Dynatrace

As more organizations respond to the pressure to release better software faster, there is an increasing need to build quality gates into every stage of BizDevOps processes , from early development to deployment. Automating quality gates creates reliable checks and balances and speeds up the process by avoiding manual intervention.

article thumbnail

Kubernetes Observability: Code Profiling With Flame Graphs

Percona

The idea behind this is to speed up cluster resources such as garbage collection, reduce image transfer over the network, and accelerate the application launch. In case the pod has more than one container, we’ll need to specify as the last argument the container name, in this case, pxc, which is the container running the mysqld process.

Code 113
article thumbnail

How to Assess MySQL Performance

HammerDB

GHz 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids) Up to 20% higher compute performance than z1d instances Up to 50 Gbps of networking speed Up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (EBS) We can also verify these capabilities by running some simple benchmarks on the different subsystems.

article thumbnail

An analysis of performance evolution of Linux’s core operations

The Morning Paper

Perhaps the most interesting lesson/reminder is this: it takes a lot of effort to tune a Linux kernel. Google’s data center kernel is carefully performance tuned for their workloads. A micro-benchmark suite, LEBench was then built around tee system calls responsible for most of the time spent in the kernel. Headline results.