Scalegrid

FEBRUARY 6, 2025

Kafka clusters can be deployed in Kubernetes using Helm charts to simplify scaling and management across multiple servers. Performance and Benchmark Comparison When comparing RabbitMQ and Kafka, performance factors such as throughput, latency, and scalability play a critical role.

Latency 147

Latency Analytics Architecture Storage 147

DZone

OCTOBER 2, 2019

You may also like: SQL Server Tips and Techniques for Database Performance Optimization. The general perception is that benchmarks published by vendors can never be trusted; however, well-run benchmarks absolutely have their place, even if performed by a vendor.

Benchmarking 100

Benchmarking Performance Database Servers 100

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 276

Benchmarking Metrics Cache Network 276

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 278

Retail Social Media Performance Benchmarking 278

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 246

Infrastructure Monitoring Virtualization Serverless 246

HammerDB

JULY 5, 2022

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

Benchmarking 98

Benchmarking Database C++ Virtualization 98

Dynatrace

JUNE 21, 2024

The time from browser request to the first byte of information from the server. Document these metrics, including the benchmark values and any insights gained from analysis, to use as a reference for tracking progress and evaluating the effectiveness of optimization efforts over time. The time taken to complete the page load.

Best Practices 264

Best Practices Monitoring Metrics Transportation 264

HammerDB

SEPTEMBER 24, 2024

The key findings of the article were as follows: This server had a HammerDB benchmark running against it. One possibility – and in this case, the most probable conclusion – is that the client test machine was overwhelmed and could not respond to the server fast enough. click on the image to expand for a detailed view).

Benchmarking 68

Benchmarking Performance Metrics Database 68

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 159

Performance Benchmarking Servers Systems 159

Dynatrace

JULY 31, 2024

For example, a good course of action is knowing which impacted servers run mission-critical services and remediating those first. The Dynatrace synthetic monitors they used to monitor the performance of this critical third-party application immediately detected the outage when the CrowdStrike software affected the vendor’s servers.

Airlines 258

Airlines Monitoring Healthcare Traffic 258

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 246

Lambda AWS Serverless Monitoring 246

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 246

Lambda AWS Serverless Monitoring 246

High Scalability

NOVEMBER 9, 2018

matei_zaharia : Since we opened #DAWNBench deep learning benchmark rolling submissions, there have been some cool entires. In a two socket server, that equates to 128 physical cores and 256 threads in a single box. This is the key problem with every musical blockchain initiative I've ever seen. You can now train CIFAR10 for just $0.06

Internet 192

Internet Internet Scalability Blockchain 192

n0derunner

SEPTEMBER 15, 2023

Some technical notes on our submission to the benchmark committee. Background For the past few months engineers from Nutanix have been participating in the MLPerftm Storage benchmark which is designed to measure the storage performance required for ML training workloads. appeared first on n0derunner. appeared first on n0derunner.

Benchmarking 59

Benchmarking Storage Servers Engineering 59

CSS Wizardry

JUNE 30, 2023

However, as an internal benchmark, there are compelling reasons why some of you may actually want to keep tracking these ‘outdated’ metrics… Measure the User Experience The problem with using diagnostic metrics like Load or DOMContentLoaded to measure site-speed is that it has no bearing on how a user might actually experience your site.

Metrics 337

Metrics Google Code Monitoring 337

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 138

Cache Open Source Benchmarking Database 138

Dynatrace

JUNE 27, 2022

Data collected on page load events, for example, can include navigation start (when performance begins to be measured), request start (right before the user makes a request from the server), and speed index metrics (measure page load speed). In some cases, you will lack benchmarking capabilities. RUM generates a lot of data.

Best Practices 244

Best Practices Monitoring Wireless Traffic 244

Dynatrace

MARCH 25, 2022

“And now that we don’t need to babysit the servers, engineers can work on real-life problems they want to solve for our customers.” . “There is a drastic difference in MTTR from manual to automated remediation,” says Harikrishnan. ” The future of Dynatrace and Parker collaboration.

Benchmarking 243

Benchmarking Efficiency DevOps Tuning 243

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

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

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 145

Tuning Cache Servers Benchmarking 145

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

OCTOBER 23, 2023

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

Benchmarking 63

Benchmarking Database Network C++ 63

Dynatrace

OCTOBER 2, 2023

Because monolithic applications combine database, client-side interfaces, and server-side application elements in a single executable, they’re difficult to understand, even for their own administrators. Use SLAs, SLOs, and SLIs as performance benchmarks for newly migrated microservices.

Architecture 278

Architecture Artificial Intelligence Cloud Open Source 278

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 47

Benchmarking Latency Cache Network 47

Percona

AUGUST 26, 2024

At Percona, we have always prioritized database performance as a critical factor in selecting database technologies. Recently, we have observed a concerning trend in the community edition of MySQL, where performance appears to be declining across major releases, specifically MySQL versions 5.7,

Servers 119

Servers Performance Database Technology 119

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 114

Database Benchmarking Latency C++ 114

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

Adrian Cockcroft

SEPTEMBER 23, 2024

Most publications have simply reported the benchmark improvement claims, but if you stop to think about them, the numbers dont make sense based on a simplistic view of the technology changes. So first thing to understand is that the benchmark skips a generation and compares product that differs over about a two year interval.

Benchmarking 52

Benchmarking Energy Architecture Latency 52

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 64

Servers Cache Retail Benchmarking 64

Dynatrace

FEBRUARY 25, 2021

When we set out to create the new Lambda extension, we benchmarked other dedicated Lambda monitoring solutions that were already on the market. Lambda functions are often used as back ends for static, single-page applications, and many customers asked for the same level of insights they get when running Dynatrace against a regular web server.

Lambda 278

Lambda AWS Monitoring Serverless 278

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 114

Benchmarking Servers Tuning C++ 114

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

Scalegrid

OCTOBER 31, 2019

In these blogs, we dove deep into how the frameworks work, their setup requirements, pros and cons, and how they performed in standby server tests, primary server tests and network isolation tests (split brain scenario) to help you determine the best framework to improve the uptime for your PostgreSQL-powered applications.

Availability 187

Availability Azure AWS DevOps 187

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 124

Cache Hardware Servers Benchmarking 124

ACM Sigarch

OCTOBER 12, 2020

I suggest it’s long past time to move beyond C and SPEC benchmarks and our exclusive focus on “metal” languages. There are already standard benchmark suites for JavaScript performance in the browser, and we can include applications written in node.js (server-side JavaScript), Python web servers, and more.

C++ 109

C++ Benchmarking Hardware Architecture 109

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 63

Servers C++ Benchmarking Virtualization 63