MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

Scalegrid

MySQL Azure Performance Benchmark. In this benchmark report, we compare MySQL hosting on Azure at ScaleGrid vs. Azure Database for MySQL across these three workload scenarios: Read-Intensive Workload: 80% reads and 20% writes. Benchmark configurations.

Azure 233

Introduction to Benchmarking in Julia

DZone

open source benchmarking juliaFor the number of years I’ve been programming using Julia, I’ve never really been concerned with performance.

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How To Benchmark the End-to-End Performance of Different I/O Solutions for Model Training

DZone

This blog will demonstrate how to set up and benchmark the end-to-end performance of the training process. Architecture.

Benchmark With JMH

DZone

????????????????????????????. JMH stands for Java Micro-benchmark Harness and is a toolkit used for implementing benchmarks for applications running on JVM.??. performance benchmarking performance engineering jmh microbenchmark

RSocket vs. gRPC Benchmark

DZone

Almost every time I present RSocket to an audience, there will be someone asking the question: "How does RSocket compare to gRPC?" " Today we are going to find out. java performance scalability latency cpu grpc rpc qps

Benchmark Netifi RSocket Broker on Alibaba Cloud

DZone

Recently there has been some discussions around service mesh benchmark tests. performance benchmarking rsocket benchmarking test service mesh architecture netifiPurpose. We are evaluating Netifi RSocket broker, and I think it would be nice to get a sense on the performance of RSocket broker using the same Istio setup. RSocket. RSocket is an "application protocol providing Reactive Streams semantics." " What that means is it ensures back pressure end-to-end.

Redis on Azure Performance Benchmark – ScaleGrid for Redis™ vs. Azure Cache

Scalegrid

Performance REDIS Azure benchmark Latency Performance Benchmark Redis Redis Azure ThroughputRedis is an advanced key-value store. In fact, it is the number one key value store and eighth most popular database in the world.

Azure 130

Low Code Platforms for Test Automation: A Benchmark

DZone

In this blog post, we will share the results of a benchmark that we ran to compare the speed of some of the most popular low code solutions for test automation. The faster we get feedback, the better. That also applies to end-to-end automated tests.

Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

While each database has been designed for different goals and use cases, YCSB test provides somewhat a common ground for the benchmark, therefore the numbers shown in this document can be used by developers or users to help select the db suitable for their requirement.

Benchmarking the AWS Graviton2 with KeyDB

DZone

database big data performance benchmarking performance analysis redis alternative ec2 image ec2stack hardware news keydbWe've always been excited about Arm so when Amazon offered us early access to their new Arm-based instances we jumped at the chance to see what they could do.

Escape Analysis in Java 6 Update 14 - Some Informal Benchmarks

DZone

Sun released update 14 of the Java 6 JDK and JRE. As well as the usual collection of bug fixes, this release includes some experimental new features designed to improve the performance of the JVM (see the release notes ). One of these is Escape Analysis. What Is Escape Analysis? Escape analysis is a compiler optimization technique that analyzes an object's access path to determine whether or not it is escaped from its current scope.

Java 146

Why Tcl is 700% faster than Python for database benchmarking

HammerDB

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.

Benchmarking spreadsheet systems

The Morning Paper

Benchmarking spreadsheet systems Rahman et al., construct a set of benchmarks to try and understand what might be going on under the covers in Microsoft Excel, Google Sheets, and LibreOffice Calc. Preprint. A recent TwThread drew my attention to this pre-print paper.

Benchmarking with Postgres PT2

n0derunner

The post Benchmarking with Postgres PT2 appeared first on n0derunner. Databases benchmarks database postgresIn this example we run pgbench with a scale factor of 1000 which equates to a database size of around 15GB. The linux VM has 32G RAM, so we don’t expect to see many reads. Using prometheus with the Linux node exporter we can see the disk IO pattern from pgbench.

Benchmarking with Postgres PT1

n0derunner

<span style="font-family: Andale Mono;">$ sudo -u postgres createdb <span class="highlight">pgbench-sf10</span></span> Initialise the DB with data ready to run the benchmark. The post Benchmarking with Postgres PT1 appeared first on n0derunner. Databases benchmarks database postgresImage By Daniel Lundin. In this example, we use Postgres and the pgbench workload generator to drive some load in a virtual machine.

Industry page speed benchmarks (March 2022)

Speed Curve

Page Speed Benchmarks is an interactive dashboard that lets you explore and compare web performance data for leading websites across several industries – from retail to media – over the past year. Create your own custom benchmark dashboard.

Scaling Benchmarks With More Robust UseNUMA Flag in OpenJDK

DZone

java jdk openjdk benchmark nodes performanace jdk11 flag numa lagWhat happens when you run a Java application without checking your hardware configuration? Obviously, your application lags in terms of performance. For small applications, you need not worry, but for applications that require larger memory (in GB's), you need to take care of the configurations; otherwise, your application can suffer a lot. What Is NUMA?

The Effect of Isolation Levels on Distributed SQL Performance Benchmarking

DZone

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. Benchmarks are well-run when the input parameters to the benchmarked systems match the needs of the target workloads included in the benchmark. This cottage has a high isolation level. You may also like: SQL Server Tips and Techniques for Database Performance Optimization.

What Happened to HornetQ, the JMS That Shattered Records?

DZone

broke records and defeated top-ranked messaging services in benchmark tests. In 2010, the SPECjms2007 benchmark record was smashed by HornetQ , an open-source enterprise messaging system from JBoss. HornetQ 2.0 Why wasn't it widely adopted?

How To Benchmark And Improve Web Vitals With Real User Metrics

Smashing Magazine

How To Benchmark And Improve Web Vitals With Real User Metrics. How To Benchmark And Improve Web Vitals With Real User Metrics. Átila Fassina. 2022-02-24T09:30:00+00:00. 2022-02-24T15:04:32+00:00. How would you measure performance?

Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook

The Morning Paper

Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook , Cao et al., Or in the case of key-value stores, what you benchmark. FAST’20. You get good at what you practice.

Best MySQL DigitalOcean Performance – ScaleGrid vs. DigitalOcean Managed Databases

Scalegrid

MySQL DigitalOcean Performance Benchmark. In this benchmark, we compare equivalent plan sizes between ScaleGrid MySQL on DigitalOcean and DigitalOcean Managed Databases for MySQL. Read-Intensive Throughput Benchmark. Balanced Workload Throughput Benchmark.

View from Nutanix storage during Postgres DB benchmark

n0derunner

The post View from Nutanix storage during Postgres DB benchmark appeared first on n0derunner. A quick look at how the workload is seen from the Nutanix CVM. In this example from prior post. The Linux VM running postgres has two virtual disks – one taking transaction log writes. The other is doing reads and writes from the main datafiles.

Introducing Page Speed Benchmarks – a new resource for the performance community

Speed Curve

What are some good sites I can use for benchmarking? Page Speed Benchmarks is an interactive dashboard that lets you explore and compare web performance data for leading websites across several industries – from retail to media. What you can do with these benchmarks: 1.

Real Time Oracle Performance Monitoring for Benchmarks

HammerDB

Finally like all HammerDB features everything that is available on Linux is equally available on Windows as well so if running an Oracle client on Windows you can access exactly the same features to monitor your benchmark performance in real time. An essential part of database performance testing is viewing the statistics generated by the database during the test and in 2009 HammerDB introduced automatic AWR snapshot generation for Oracle for the TPC-C test.

Comparing PostgreSQL DigitalOcean Performance & Pricing – ScaleGrid vs. DigitalOcean Managed Databases

Scalegrid

PostgreSQL Benchmark Setup. Here is the configuration we used for the ScaleGrid and DigitalOcean benchmark performance tests highlighted above: Configuration. Benchmark Tool.

Brand-new comparison reports for your Website Performance Benchmarks

Dareboost

With an improved user experience and some additional data available, benchmarking your competition is now easier than ever! A single tool … Continue reading Brand-new comparison reports for your Website Performance Benchmarks → Service UpdatesA new version of our performance comparison reports has just been released. After a quick reminder about why and how you can use the performance comparison feature, let’s discover what’s new under the hood!

Evaluating the Evaluation: A Benchmarking Checklist

Brendan Gregg

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. I have spent much of my career refuting bad benchmarks, and have developed such a knack for it that prior employers would not publish benchmarks unless they were approved by me. These kinds of benchmarks are misleading.

The top 5 reasons to run your own database benchmarks

HammerDB

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.” That is why we run a workload designed exactly for this purpose as it gives us a “benchmark” 2.

Evaluating the Evaluation: A Benchmarking Checklist

Brendan Gregg

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. I have spent much of my career refuting bad benchmarks, and have developed such a knack for it that prior employers would not publish benchmarks unless they were approved by me. These kinds of benchmarks are misleading.

How to maximize CPU performance for PostgreSQL 12.0 benchmarks on Linux

HammerDB

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So over at Phoronix some database benchmarks were published showing PostgreSQL 12 Performance With AMD EPYC 7742 vs. Intel Xeon Platinum 8280 Benchmarks . ” Usually when benchmark results are surprising it is a major hint that something could be misconfigured and that certainly seems the case here, so what could it be?

Single threaded DB performance on Nutanix HCI

n0derunner

SQL Server Workloads & Benchmarks aws diskspd fio latency rds sqlserver windowstl;dr A Nutanix cluster can persist a replicated write across two nodes in around 260 uSec (4KB IO using diskspd) which is critical for single-threaded DB write workloads.

Secrets Detection: Optimizing Filter Processes

DZone

In a previous article , we explained how we built benchmarks to keep track of those three metrics: precision, recall, and the most important here, speed. These benchmarks taught us a lot about the true internals of our engine at runtime and led to our first improvements.

Protected: Nutanix Performance for Database Workloads

n0derunner

Workloads & BenchmarksThere is no excerpt because this is a protected post. The post Protected: Nutanix Performance for Database Workloads appeared first on n0derunner.

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! ASPLOS’19.

SQL Server Index Fill factor with Performance Benchmark

SQL Shack

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 […]. Indexes Performance

Memory Bandwidth Requirements of the HPL benchmark

John McCalpin

The High Performance LINPACK (HPL) benchmark is well known for delivering a high fraction of peak floating-point performance. The (historically) excellent scaling of performance as the number of processors is increased and as the frequency is increased suggests that memory bandwidth has not been a performance limiter. But this does not mean that memory bandwidth will *never* be a performance limiter.

The Phony Balance Benchmark

Alex Russell

There’s a palpable tension in my shoulders as I tap this out — I know already that this post will create cringe-worthy responses and name calling and all the rest. But on we plod. A friend called out to me a peculiar feature of a conference Program Committee they were serving on: that it was part of the PC’s role to keep a look out for strong minority/female speakers and encourage them to submit to the open CFP.

2019 PostgreSQL Trends Report: Private vs. Public Cloud, Migrations, Database Combinations & Top Reasons Used

High Scalability

PostgreSQL is an open source object-relational database system that has soared in popularity over the past 30 years from its active, loyal, and growing community. For the 2nd year in a row, PostgreSQL has kept the title of #1 fastest growing database in the world according to the DBMS of the Year report by the experts at DB-Engines. So what makes PostgreSQL so special, and how is it being used today?

ScyllaDB Trends – How Users Deploy The Real-Time Big Data Database

Scalegrid

In fact, according to ScyllaDB’s performance benchmark report, their 99.9 Amazon AWS Azure Benchmarks Cassandra Cloud Database Google Cloud On-Premise ScyllaDB Trend Report #1. ScyllaDB is an open-source distributed NoSQL data store, reimplemented from the popular Apache Cassandra database. Released just four years ago in 2015, Scylla has averaged over 220% year-over-year growth in popularity according to DB-Engines.

PostgreSQL Connection Pooling: Part 4 – PgBouncer vs. Pgpool-II

Scalegrid

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.

How to improve Redo, Transaction Log and WAL throughput for HammerDB benchmarks

HammerDB

This post at an entry-level discusses the options you have to improve log throughput in your benchmark environment. . 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.

Beware of tiny working-set-sizes when testing storage performance.

n0derunner

Storage Workloads & Benchmarks diskspd fio nutanixI was recently asked to investigate why Nutanix storage was not as fast as a competing solution in a PoC environment. When I looked at the output from diskspd, the data didn’t quite make sense.