Speed Curve

FEBRUARY 5, 2024

Server-timing headers are a key tool in understanding what's happening within that black box of Time to First Byte (TTFB). Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold.

Servers 58

Servers Cache Retail Benchmarking 58

DZone

AUGUST 2, 2022

A significant feature of Chronicle Queue Enterprise is support for TCP replication across multiple servers to ensure the high availability of application infrastructure. This is the first time I have benchmarked it with a realistic example.

Latency 275

Latency Benchmarking Network Infrastructure 275

DZone

OCTOBER 24, 2021

I remember when.Net originally came out some 20 years ago and Microsoft had created a website called "pet shop" or something, where they were able to "prove" that.Net and SQL Server was faster than the Java and Oracle equivalent. When we do benchmarks, it's important that we measure best practices, and typical usage.

Benchmarking 258

Benchmarking Best Practices Java Website 258

HammerDB

OCTOBER 24, 2023

by @krithikasatish and @JoshInnis to provide accelerated load performance for both SQL Server TPROC-C and TPROC-H schemas. Summary The new Use BCP Option for SQL Server accelerates both TPROC-C and TPROC-H schema loads, so you can get to running your benchmarks faster. With the default for v4.9 to have this feature enabled.

Servers 62

Servers C++ Benchmarking Virtualization 62

The Morning Paper

MARCH 10, 2020

Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook , Cao et al., Or in the case of key-value stores, what you benchmark. So if you want to design a system that will offer good real-world performance, it’s really useful to have benchmarks that accurately represent real-world workloads.

Benchmarking 59

Benchmarking Storage Cache Open Source 59

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Connected_slaves provides information about replication status while Used_memory tracks utilized amount of server’s total capacity. You can pick a smart selection of relevant metrics from these.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

DECEMBER 27, 2022

Instead, they can ensure that services comport with the pre-established benchmarks. Using data from Dynatrace and its SLO wizard , teams can easily benchmark meaningful, user-based reliability measurements and establish error budgets to implement SLOs that meet business objectives and drive greater DevOps automation.

Software 268

Software Software Benchmarking Latency 268

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

Scalegrid

JULY 29, 2020

However, these must be set up outside the PostgreSQL system, while PgBouncer can offload this to the PostgreSQL server. So, we pitted the two connection poolers head-to-head, using the standard pgbench tool, to see which one provides better transactions per second throughput through a benchmark test. Throughput Benchmark.

Benchmarking 246

Benchmarking Database Performance Testing Availability 246

SQL Shack

SEPTEMBER 9, 2019

In this article, we will study in detail about the how SQL Server Index Fill factor works. Index Fill factor SQL Server Index Fill Factor is a percentage value to be filled data page with data in SQL Server. This option is available in index properties to manage data storage in the data pages. It […].

Benchmarking 56

Benchmarking Servers Performance Storage 56

Dynatrace

NOVEMBER 30, 2023

Social media was relatively quiet, and as always, the Dynatrace Insights team was benchmarking key retailer home pages from mobile and desktop perspectives. By focusing on the server, digital performance has become much more consistent, even under the weight of massive amounts of consumer load.

Retail 225

Retail Social Media Performance Benchmarking 225

Percona

NOVEMBER 3, 2023

PostgreSQL Cluster One coordinator node citus-coord-01 Three worker nodes citus1 citus2 citus3 Hardware AWS Instance Ubuntu Server 20.04, SSD volume type 64-bit (x86) c5.xlarge 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 104

Database Benchmarking Latency C++ 104

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

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. You will still have to maintain your operating system, SQL Server and databases just like you would in an on-premises scenario.

Azure 72

Azure Virtualization Servers Storage 72

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

CSS Wizardry

AUGUST 24, 2022

Improving each of these should hopefully chip away at the timings of more granular events that precede the LCP milestone, but whenever we’re making these kinds of indirect optimisation, we need to think much more carefully about how we measure and benchmark ourselves as we work. one can’t just whack async on a and hope for the best).

Benchmarking 212

Benchmarking Metrics Cache Network 212

Scalegrid

MARCH 28, 2024

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Redis Revealed: An Overview Redis, a renowned open-source, in-memory remote dictionary server, stands out for its diverse data structures and advanced features. Data transfer technology.

Cache 130

Cache Storage Scalability Architecture 130

Percona

JANUARY 2, 2024

Two setups running in cluster mode: one in MariaDB+Galera and one with Percona XtraDB Cluster (Percona Server+Galera). We decided to run a few benchmarks to understand how the thread pool affects long-running transactions. For this reason, I’ve set up a server with the following specs: r6a.2xlarge

Benchmarking 84

Benchmarking Servers Tuning C++ 84

SQL Performance

AUGUST 27, 2019

On August 7, 2019, AMD finally unveiled their new 7nm EPYC 7002 Series of server processors, formerly code-named "Rome" at the AMD EPYC Horizon Event in San Francisco. This is the second generation EPYC server processor that uses the same Zen 2 architecture as the AMD Ryzen 3000 Series desktop processors.

Servers 52

Servers Benchmarking Virtualization Architecture 52

Percona

APRIL 6, 2023

Load balancing One of the primary benefits of using pgpool-II is its ability to distribute incoming client connections across multiple PostgreSQL servers, allowing you to balance the load and increase the capacity of your database cluster. This can significantly improve query response times and reduce the load on your database servers.

Cache 113

Cache Open Source Benchmarking Database 113

Percona

APRIL 7, 2023

If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? Sysbench ran on a third server, which I’ll refer to as the application server (APP).

Tuning 134

Tuning Cache Servers Benchmarking 134

DZone

MAY 27, 2019

In my previous post, " Running MySQL/Percona Server in Kubernetes with a Custom Config " I looked at how to set up MySQL in Kubernetes to utilize system resources fully. I will use a very simple CPU-bound benchmark to measure MySQL performance in OLTP read-only workload:

Performance 154

Performance Benchmarking Servers Systems 154

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more.

Infrastructure 205

Infrastructure Monitoring Virtualization Serverless 205

Particular Software

SEPTEMBER 20, 2021

Why RPC is “faster” It’s tempting to simply write a micro-benchmark test where we issue 1000 requests to a server over HTTP and then repeat the same test with asynchronous messages. But to be fair, we also have to process the messages on the server before we can consider the messaging case to be complete.

Benchmarking 97

Benchmarking Latency Servers Systems 97

The Morning Paper

MAY 12, 2019

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! ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

DECEMBER 20, 2023

Modern servers operate with terabytes of RAM, and by default, processors work with virtual memory address translation for each 4KB page. Please check out the Why Linux HugePages are Super Important for Database Servers: A Case with PostgreSQL blog post for more information.

C++ 97

C++ Virtualization Benchmarking Database 97

SQL Server According to Bob

AUGUST 23, 2021

HOW IT WORKS: SQL Server Scheduler Affinity SQL Server uses 3 types of affinity to control where the SQL Server worker threads execute. Node Types SQL Server makes a specific distinction between scheduling and memory nodes. Online vs Offline Schedulers The SQL Server schedulers can be online or offline.

Servers 40

Servers Azure Operating System Database 40

Percona

MARCH 27, 2023

On MySQL and Percona Server for MySQL , there is a schema called information_schema (I_S) which provides information about database tables, views, indexes, and more. Disclaimer : This blog post is meant to show a less-known problem but is not meant to be a serious benchmark. Results for Percona Server for MySQL 5.7

Cache 101

Cache Hardware Servers Benchmarking 101

HammerDB

FEBRUARY 25, 2021

HammerDB is a load testing and benchmarking application for relational databases. However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. Basic Benchmarking Concepts. To benchmark a database we introduce the concept of a Virtual User.

Programming 67

Programming Benchmarking Virtualization C++ 67

n0derunner

OCTOBER 4, 2019

HammerDB is a great tool for running Database benchmarks. However it is very easy to create an artificial bottleneck which will give a very poor benchmark result. When setting up HammerDB to run against even a moderate modern server, it is important to avoid displaying the client transaction outputs in the HammerDB UI.

Benchmarking 75

Benchmarking Database Servers Performance Testing 75

n0derunner

DECEMBER 22, 2020

With help from the Nutanix X-Ray team I have created an IO “benchmark” which simulates a “General Server Virtualization” workload.

Storage 52

Storage Benchmarking Virtualization Servers 52

Dynatrace

APRIL 8, 2021

This means that there is no need to provision or manage servers (or even containers). These served as our benchmark when creating our Lambda monitoring extension. This means that, compared to running a regular web server, there are virtually no costs while users are not interacting with your site. Auto scaling. Failure retries.

Lambda 226

Lambda AWS Serverless Monitoring 226

SQL Performance

NOVEMBER 18, 2019

Migrating an on-premises SQL Server instance to an Azure Virtual Machine (VM) is a common method to migrate to Azure. Compute optimized – High CPU-to-memory ration, medium traffic web servers and application servers. Certain sizes also support premium storage, which should be a requirement for a production SQL Server.

Azure 76

Azure Benchmarking Storage Virtualization 76

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. However, simply deploying a monitoring tool is not enough; you need to know which Key Performance Indicators (KPIs) to monitor to gain insights into your MySQL server’s health and performance.

Performance 104

Performance Monitoring Traffic Database 104

SQL Performance

JULY 16, 2019

A close monitoring of the hardware enthusiast community, including many of the most respected hardware analysts and reviewers paints an even more dire picture about Intel in the server processor space. Despite all of this, Intel is not going to lose their entire server processor business any time soon. So, what has changed my mind?

Servers 46

Servers Hardware Architecture Retail 46

Brendan Gregg

MAY 22, 2021

For example, benchmarks. If they trusted me with a login to their production servers, I could help them a lot quicker. (Means: Let me look at the system without changing it.) Wait, aren't all performance tools observability tools? _Experimental_ tools change the state of the system to understand it.

Benchmarking 117

Benchmarking Metrics Speed Database 117