Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads.

AWS 101

AWS Benchmarking Performance Traffic 101

Scalegrid

JUNE 4, 2020

Compare Latency. lower latency compared to DigitalOcean for PostgreSQL. On average, ScaleGrid provides over 30% more storage vs. DigitalOcean for PostgreSQL at the same affordable price. PostgreSQL DigitalOcean Performance Test. Now, let’s take a look at the throughput and latency performance of our comparison.

Database 230

Database Latency Benchmarking Performance 230

Percona

DECEMBER 26, 2023

Although the default configuration simulates loading based loosely upon TPC-B, it is nevertheless easy to test other use cases by writing one’s own transaction script files. A script executing a benchmarking run: #!/bin/bash tps, lat 11.718 ms stddev 3.951 progress: 4440.0 tps, lat 11.075 ms stddev 3.519 progress: 4445.0

Benchmarking 124

Benchmarking Metrics C++ Database 124

Brendan Gregg

JUNE 30, 2018

These have inspired me to summarize another performance activity: evaluating benchmark accuracy. Accurate benchmarking rewards engineering investment that actually improves performance, but, unfortunately, inaccurate benchmarking is more common. If the benchmark reported 20k ops/sec, you should ask: why not 40k ops/sec?

Benchmarking 54

Benchmarking Latency Cache Network 54

Brendan Gregg

JUNE 29, 2018

These have inspired me to summarize another performance activity: evaluating benchmark accuracy. Accurate benchmarking rewards engineering investment that actually improves performance, but, unfortunately, inaccurate benchmarking is more common. If the benchmark reported 20k ops/sec, you should ask: why not 40k ops/sec?

Benchmarking 40

Benchmarking Latency Cache Network 40

Percona

MARCH 23, 2023

Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Benchmark before you decide. Cloud Different cloud providers offer a range of instance types and sizes, each with varying amounts of CPU, memory, and storage. Transparent huge pages (THP) disabled.

Performance 127

Performance Hardware Tuning Storage 127

The Netflix TechBlog

SEPTEMBER 2, 2020

This difference has substantial technological implications, from the classification of what’s interesting to transport to cost-effective storage (keep an eye out for later Netflix Tech Blog posts addressing these topics). As you can imagine, this comes with very real storage costs. Is this an anomaly or are we dealing with a pattern?

Latency 296

Latency Transportation Engineering Traffic 296

n0derunner

SEPTEMBER 17, 2018

Creating a HCI benchmark to simulate multi-tennent workloads. As with traditional storage, applications are writing to a shared storage environment which is necessary to support VM movement. As with traditional storage, applications are writing to a shared storage environment which is necessary to support VM movement.

Performance Testing 40

Performance Testing Benchmarking Testing Performance 40

Percona

JANUARY 24, 2023

This will be clearly visible in PostgreSQL performance benchmarks as a “ Sawtooth wave ” pattern observed by Vadim in his tests: As we can see, the throughput suddenly drops after every checkpoint due to heavy WAL writing and gradually picks up until the next checkpoint. I couldn’t see any adverse effect on the TPS on quick tests.

Database 118

Database Benchmarking Open Source Latency 118

Percona

APRIL 7, 2023

To illustrate this, I ran the Sysbench-TPCC synthetic benchmark against two different GCP instances running a freshly installed Percona Server for MySQL version 8.0.31 In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. The throughput didn’t double but increased by 57%.

Tuning 137

Tuning Cache Servers Benchmarking 137

HammerDB

NOVEMBER 5, 2018

If you are new to running Oracle, SQL Server, MySQL and PostgreSQL TPC-C workloads with HammerDB and have needed to investigate I/O performance the chances are that you have experienced waits on writing to the Redo, Transaction Log or WAL depending on the database you are testing. SQL> alter system flush buffer_cache; System altered.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

Particular Software

SEPTEMBER 20, 2021

Some will claim that any type of RPC communication ends up being faster (meaning it has lower latency) than any equivalent invocation using asynchronous messaging. If you did such a benchmark, here’s an incomplete picture you might end up with: Graph of microbenchmark showing RPC is faster than messaging. Messaging doesn’t do that.

Benchmarking 97

Benchmarking Latency Servers Systems 97

Alex Russell

APRIL 29, 2021

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. Chrome has missed several APIs for 3+ years: Storage Access API.

Media 145

Media Games Education Engineering 145

HammerDB

OCTOBER 12, 2018

This post complements the previous best practice guides this time with the focus on MySQL and MariaDB and achieving top levels of performance with the HammerDB MySQL TPC-C test. As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. hardware limits: 1000 MHz - 3.80

Best Practices 40

Best Practices Scalability Performance C++ 40

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Using a global ASP as a benchmark can further mislead thanks to the distorting effect of ultra-high-end prices rising while shipment volumes stagnate. The Moto G4 , for example.

Performance 124

Performance Network Cache Metrics 124

Alex Russell

OCTOBER 22, 2017

Budgets are scaled to a benchmark network & device. Automating testing against an objective baseline. Deciding what benchmark to use for a performance budget is crucial. It simulates a link with a 400ms RTT and 400-600Kbps of throughput (plus latency variability and simulated packet loss). What’s going on here?

Performance 68

Performance Benchmarking Network Mobile 68

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). This chart shows our scaled results using a OLTP workload derived from TPC benchmarks.

Availability 40

Availability Servers Hardware Benchmarking 40

Percona

NOVEMBER 3, 2023

xlarge 4vCPU 8GB-RAM Storage: EBS volume (root) 80GB gp2 (IOPS 240/3000) As well, high availability will be integrated, guaranteeing cluster viability in the case that one worker node goes down. And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database 108

Database Benchmarking Latency C++ 108

SQL Server According to Bob

JANUARY 11, 2020

​​ The storage ​​ space that is required ​​ for the sparse file is only that of the actual bytes written to the file and not the ​​ maximum ​​ file ​​ size.

Servers 40

Servers Cache Database Media 40

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. See the article for more details. SQL Server 7.0

Servers 40

Servers Cache Media Hardware 40

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. Testing Scale-Up Performance.

Cache 40

Cache Servers Network Design 40

Smashing Magazine

JANUARY 11, 2021

Testing And Monitoring Auditing workflow, proxy browsers, 404 page, GDPR cookie consent prompts, performance diagnostics CSS, accessibility. You can then mimic the 90th percentile’s experience for testing. Now you have something measurable to test against. Quick Wins. Download The Checklist (PDF, Apple Pages, MS Word).

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Testing And Monitoring. You can then mimic the 90th percentile’s experience for testing. Alternatively, you can also use Speed Scorecard (also provides a revenue impact estimator), Real User Experience Test Comparison or SiteSpeed CI (based on synthetic testing). Now you have something measurable to test against.

Performance 145

Performance Cache Network Metrics 145