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 175

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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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

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 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

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.

MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

High Scalability

Azure Azure Database Database Database Infrastructure Database as a Service MySQL MySQL Azure MySQL Database MySQL Performance MySQL on Azure Performance Benchmark Performance Test ScaleGrid benchmark database databases mysql

Azure 151

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.

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.

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.

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.

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.

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.

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.

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.

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.

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!

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.

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.

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?

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

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.

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?

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.

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.

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.

Advanced X-Ray: reducing runtime by re-using VMs.

n0derunner

How to speed up your X-ray benchmark development cycle by re-using/re-cycling benchmark VMs and more importantly data-sets. X-Ray benchmarking xrayProblem: For large datasets, creating the data on-disk can be time consuming.

A Generalized workload generator for storage IO

n0derunner

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

Understanding Concurrency Parameters in pgbench

n0derunner

pgbench paramaters for concurrency control pgbench offers two parameters for controlling the concurrency in the benchmark. Workloads & Benchmarks concurrency pgbench postgres

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Improving AWS Performance For The Future

DZone

performance aws refactoring review migration amazon web services optimize improvements well architected framework performance benchmarkThe true power of cloud computing lies in the way it can be optimized for maximum performance and efficiency.

AWS 163

How to drop tables for HammerDB TPC-H on SQL Server

n0derunner

SQL Server Testing & Benchmarking Workloads & Benchmarks hammerDB sqlserver tpc-hUse the following SQL to drop the tables and indexes in the HammerDB TPC-H schema, so that you can re-load it. use tpch; drop table lineitem; drop table orders; drop table partsupp; drop table part; drop table supplier; drop table customer; drop table nation; drop table region; GO. The post How to drop tables for HammerDB TPC-H on SQL Server appeared first on n0derunner.

How to Improve MySQL AWS Performance 2X Over Amazon RDS at The Same Cost

Scalegrid

MySQL Performance Benchmark Configuration. AWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments. As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure.

AWS 155

Nutanix X-Ray video Series

n0derunner

Workloads & Benchmarks X-Ray video xray

From Heavy Metal to Irrational Exuberance

ACM Sigarch

I suggest it’s long past time to move beyond C and SPEC benchmarks and our exclusive focus on “metal” languages. ACM SIGARCH Accelerators Architecture Benchmarks Programmability

C++ 87

How to Improve MySQL AWS Performance 2X Over Amazon RDS at The Same Cost

High Scalability

AWS Amazon RDS Cloud Database DevOps Latency MySQL Performance RDBMS Replication Lag SSD Throughput administration amazon aws benchmark best platform cloud cluster cost savings database database replication database scalability deployment ec2 enterprise high availability hosting master-slave mysql mysql cluster mysql load mysql scalability public cloud sql testingAWS is the #1 cloud provider for open-source database hosting, and the go-to cloud for MySQL deployments.

AWS 162

How to identify NVME drive types and test throughput

n0derunner

NVME Performance Workloads & Benchmarks fio nvme

How to drop tables for HammerDB TPC-C on SQL Server

n0derunner

SQL Server Workloads & Benchmarks hammerDB sqlserver tpc-cFrom the SQL Window of SQL*Server. Issue these commands to drop the tables and procedures created by HammerDB. This will allow you (for instance) to re-create the database, or create a new database with more warehouses (larger size) while retaining the same name/DB layout. USE [TPCC] DROP TABLE [dbo]. CUSTOMER] DROP TABLE [dbo].

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