Benchmark Netifi RSocket Broker on Alibaba Cloud


Recently there has been some discussions around service mesh benchmark tests. performance benchmarking rsocket benchmarking test service mesh architecture netifiPurpose.

Benchmark With JMH


????????????????????????????. 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


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

The Effect of Isolation Levels on Distributed SQL Performance Benchmarking


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. This cottage has a high isolation level.

Benchmarking with Postgres PT2


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.

Benchmarking with Postgres PT1


<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.

Scaling Benchmarks With More Robust UseNUMA Flag in OpenJDK


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.

How to maximize CPU performance for PostgreSQL 12.0 benchmarks on Linux


HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So now lets see what we get in performance mode, an almost 32% improvement (and 53% higher than the published benchmarks). ./bin/pgbench

Brand-new comparison reports for your Website Performance Benchmarks


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 Updates

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.

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., ASPLOS’19.

Real Time Oracle Performance Monitoring for Benchmarks


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.

The top 5 reasons to run your own database benchmarks


This post addresses some of the opinions around database benchmarking and gives the top 5 reasons why industry standard benchmarking is important and should be an essential foundation of your database engineering strategy. So are standard database benchmarks meaningless?

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.

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?

HammerDB: Avoiding bottlenecks in client.


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. Databases Performance Testing benchmarking database hammerDB sqlserver

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


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

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.

New (Old) Paper.


A 2007 paper, that still has lots to say on the subject of benchmarking storage and filesystems. Primarily aimed at researchers and developers, but is relevant to anyone about to embark on a benchmarking effort. A Nine year study of filesystem and storage benchmarking Download. Use a mix of macro and micro benchmarks Understand what you are testing, cached results are fine – as long as that is what you had intended.

HCI Performance testing made easy (Part 3)


Creating a HCI benchmark to simulate multi-tennent workloads. The DB Colocation test utilizes two properties of X-Ray not found in other benchmarking tools. Time based benchmark actions. Modeling Workloads & Benchmarks X-Ray benchmarks cloud database hci OLTP x-ray

Install a bitnami image to Nutanix AHV cluster.


We can use these same appliance images on Nutanix AHV to easily do a Postgres database benchmark. Nutanix ahv benchmark database nutanix postgres

Top500 list: a brief introduction


It ranks the world’s 500 most powerful supercomputers based on their performance as measured by the Linpack benchmark. The performance, R max , is measured by the Linpack benchmark with 64-bit floating point arithmetic. Benchmark Performance Exascale Supercomputer

You are here. The art of HCI performance testing


Feeds & Speeds Nutanix Workloads & Benchmarks X-RayAt some point potential Hyper-converged infrastructure (HCI) users want to know – “How fast does this thing go?” ” The real question is “how do we measure that?”

Timing Methodology for MPI Programs

John McCalpin

While working on the implementation of the MPI version of the STREAM benchmark, I realized that there were some subtleties in timing that could easily lead to inaccurate and/or misleading results. Performance Reference STREAM benchmarkThis post is a transcription of my notes as I looked at the issues… Primary requirement: I want a measure of wall clock time that is guaranteed to start before any rank does work and to end after all ranks have finished their work.

Percona Database Performance Blog 2018 Year in Review: Top Blog Posts


In this benchmark, I discovered some interesting discrepancies in performance between AMD and Intel CPUs when running under systemd. Amazon Aurora Amazon RDS AWS Benchmarks Containers MariaDB MongoDB MySQL Performance Tuning

Invited Talk at SuperComputing 2016!

John McCalpin

Computer Architecture Computer Hardware Performance cache DRAM high performance computing memory bandwidth memory latency STREAM benchmark“Memory Bandwidth and System Balance in HPC Systems” If you are planning to attend the SuperComputing 2016 conference in Salt Lake City next month, be sure to reserve a spot on your calendar for my talk on Wednesday afternoon (4:15pm-5:00pm).

Java Performance: For-Looping vs. Streaming


The traditional way of iterating in Java has been a for-loop starting at zero and then counting up to some pre-defined number: private static final int ITERATIONS = 10_000; @Benchmark public int forUp() { int sum = 0; for (int i = 0; i < ITERATIONS; i++) { sum += i; } return sum; }.

Java 153

Measuring MySQL Performance in Kubernetes


I will use a very simple CPU-bound benchmark to measure MySQL performance in OLTP read-only workload: performance mysql deployment kubernetes pods guaranteed qos

18 Types of Software Testing You Need to Use for Higher Quality Products


More and more companies are realizing that it’s not enough to build good software, it needs to be rigorously examined, benchmarked, and verified. There are many types of software testing that you can use to improve your products.

Impact of Data locality on DB workloads.


In this video I migrate a Postgres DB running PGbench benchmark. The variation in the transaction rate is due to the benchmark itself, the transaction rate is not expected to be uniform. Effect of removing CPU constraints and maintaining data locality on a running DB instance.

Faster remainders when the divisor is a constant: beating compilers and libdivide

Daniel Lemire

We also published our benchmarks for research purposes. The paper contains carefully crafted benchmarks, but I came up with a fun one for this blog post which I call “fizzbuzz” Let us go through all integers in sequence and count how many are divisible by 3 and how many are divisible by 5. I make my benchmarking code available. Not all instructions on modern processors cost the same.

Database compression on Nutanix


When we ran the TPCx-HCI benchmark on our cluster we realized about 2:1 savings from compression alone. The TPCx-HCI benchmark mimics a database consolidation setup, meaning that there are many databases per host. Compressability.

Measuring CPU performance with X-Ray and pgbench.


For our purposes we are going to use Postgres DB and the built-in benchmarking tool PGbench. Nutanix X-Ray is well known for being able to model IO/Storage workloads, but what about workloads that are CPU bound?

HammerDB Source Code moved to the TPC Council


HammerDB has increased dramatically in popularity and use and has been identified as the industry default for database benchmarking illustrating both the popularity of open source and TPC based benchmarks. Consequently with the wish to engage with the open source database benchmarking community the TPC Council approached HammerDB to collaborate on development and bring together both the communities around the TPC benchmarks and HammerDB.

More fun with fast remainders when the divisor is a constant

Daniel Lemire

As a benchmark, I am going to compute a linear congruential generator (basically a recursive linear function with a remainder thrown in), using these three approaches, plus the naive one. In software, compilers can often optimize away integer divisions, and replace them with cheaper instructions, especially when the divisor is a constant. I recently wrote about some work on faster remainders when the divisor is a constant.

Compress objects, not cache lines: an object-based compressed memory hierarchy

The Morning Paper

Looking across a set of eight Java benchmarks, we find that only two of them are array dominated, the rest having between 40% to 75% of the heap footprint allocated to objects, the vast majority of which are small. Zippads achieves the best compression ratios across all of the Java benchmarks.

Cache 86

AMD EPYC 7002 Series Processors and SQL Server

SQL Performance

The initial reviews and benchmarks for these processors have been very impressive: AMD EPYC 7002 Series Rome Delivers a Knockout. AMD Rome Second Generation EPYC Review: 2x 64-core Benchmarked. TPC-H Benchmark Results with SQL Server 2017.

Monitor dynamic application workflows with placeholders and synthetic location context


Synthetic clickpath monitors are a great way to automatically monitor and benchmark business-critical workflows 24/7. Dynatrace news. Some common examples of such business-critical workflows include: Sign-up processes. Checking out of a retail site. Contact forms. Search. Pricing calculators.

Nutanix AES: Performance By Example.


bssplit=64k/20:128k/20:256k/20:512k/20:1m/20 Normally storage benchmarks using large IO sizes are performed serially, because it’s easier on the storage back-end. How to reduce database restore time by 50%.

Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

use the TPC-H benchmark to assess Redshift, Redshift Spectrum, Athena, Presto, Hive, and Vertica to find out what works best and the trade-offs involved. in the TPC-H Benchmark Standard for details of the queries). Choosing a cloud DBMS: architectures and tradeoffs Tan et al.,

Stuff The Internet Says On Scalability For November 9th, 2018

High Scalability

matei_zaharia : Since we opened #DAWNBench deep learning benchmark rolling submissions, there have been some cool entires. Wake up! It's HighScalability time: @b0rk. Do you like this sort of Stuff? Please support me on Patreon. I'd really appreciate it.

Amazon Redshift and the art of performance optimization in the cloud

All Things Distributed

Verifying benchmark claims. I picked these examples because they aren't operations that show up in standard data warehousing benchmarks, yet are meaningful parts of customer workloads. Verifying benchmark claims.