HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

DZone

FEBRUARY 27, 2021

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. One, by researching on the Internet; Two, by developing small programs and benchmarking.

Java 207

Java C++ Benchmarking Programming 207

Alex Russell

MARCH 9, 2024

Of course, it would be better from the OS vendor's perspective if everyone simply wrote all of the software for their proprietary platform, maximising OS feature differentiation. native, OS-specific) platform and the hopefully weaker web platform. But smart vendors also know that's not possible when an OS isn't dominant.

Benchmarking 59

Benchmarking Strategy Internet Internet 59

Brendan Gregg

MARCH 16, 2024

To explain this example in more detail: The profiler periodically interrupts software execution, and for those disconnected stacks it happens to be the execution of the kernel software ("vfs*", "ext*", etc.). and we may have been flying close to the edge of hardware cache warmth, where adding a bit more instructions caused a big drop.

Java 145

Java Cache Google Hardware 145

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 108

Availability Database Open Source Hardware 108

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. Use SLAs, SLOs, and SLIs as performance benchmarks for newly migrated microservices.

Architecture 233

Architecture Artificial Intelligence Cloud Open Source 233

Scalegrid

JANUARY 25, 2024

Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. offers the Software Watchdog specifically designed for this purpose.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

NOVEMBER 22, 2022

Five-nines availability: The ultimate benchmark of system availability. Traditionally, teams achieve this high level of uptime using a combination of high-capacity hardware, system redundancy, and failover models. But is five nines availability attainable? Each decimal point closer to 100 equals higher uptime.

Infrastructure 184

Infrastructure Availability Systems Retail 184

Percona

AUGUST 22, 2023

Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. Redundancy provides backups and safeguards against data loss in case of hardware failures. there cannot be high availability.

Availability 79

Availability Hardware Open Source Database 79

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++ 108

C++ Benchmarking Hardware Architecture 108

Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. The /opt directory is typically used for deployment of additional software running on the Unix system. Dynatrace news.

Best Practices 198

Best Practices Storage Java Benchmarking 198

Percona

MARCH 27, 2023

Disclaimer : This blog post is meant to show a less-known problem but is not meant to be a serious benchmark. The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. Setup The setup consists of creating 10K tables with sysbench and adding 20 FKs to 20 tables.

Cache 103

Cache Hardware Servers Benchmarking 103

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench. We used the first processor socket for the MySQL database and the second socket for the benchmark (sysbench or HammerDB).

Performance 54

Performance Benchmarking Cache Storage 54

The Morning Paper

MAY 23, 2019

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. Consider a B-Tree node from the B-tree Java benchmark: Uncompressed, it’s memory layout looks like (a) below. Evaluation.

Cache 61

Cache Benchmarking Hardware Java 61

HammerDB

NOVEMBER 22, 2021

This enables the user to compare and contrast performance across different benchmark scenarios. Metrics view for benchmark. When a benchmark workload has completed, use the selection tool in the graph to select the metrics for a period of time of interest. PostgreSQL Graphical Metrics.

Metrics 62

Metrics Benchmarking C++ Database 62

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The protections are hardware implemented and cannot be forged in software. At hardware reset the boot code is granted maximally permissive architectural capabilities.

C++ 61

C++ Hardware Virtualization Benchmarking 61

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. Basic Benchmarking Concepts.

Programming 67

Programming Benchmarking Virtualization C++ 67

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

Percona

JUNE 22, 2023

Indexing efficiency Monitoring indexing efficiency in MySQL involves analyzing query performance, using EXPLAIN statements, utilizing performance monitoring tools, reviewing error logs, performing regular index maintenance, and benchmarking/testing. This KPI is also directly related to Query Performance and helps improve it.

Performance 105

Performance Monitoring Traffic Database 105

Brendan Gregg

SEPTEMBER 25, 2021

As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. I love short benchmarks like this as I can disassemble the resulting binary and ensure that the compiled instructions match my expectations, and the compiler hasen't messed with it. ## 6.

Speed 126

Speed Java AWS Virtualization 126

Scalegrid

JULY 13, 2020

Software Update License & Support (annual). $0. Oracle also offers many tools, but they are all available as add-on solutions with additional processor license and software update license costs and support fees. Oracle support for hardware and software packages is typically available at 22% of their licensing fees.

Open Source 244

Open Source Tuning C++ Database 244

Alex Russell

APRIL 29, 2021

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. is access to hardware devices. This is as it should be. Web Serial.

Media 145

Media Games Education Engineering 145

Percona

AUGUST 30, 2018

Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability. Let’s examine the TPC-C Benchmark from this point of view, or more specifically its implementation in Sysbench.

Benchmarking 47

Benchmarking Database Operating System Architecture 47

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. This made it easier for database professionals to make the case for a hardware upgrade, and made the typical upgrade more worthwhile.

Servers 46

Servers Hardware Architecture Retail 46

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint.

C++ 40

C++ Benchmarking Virtualization Open Source 40

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Attendees could be broken down into several distinct groups. Where VoltDB fits.

Hardware 56

Hardware Latency Virtualization Cloud 56

Abhishek Tiwari

DECEMBER 13, 2017

More importantly, if this works out well, this could lead to a radical improvement in performance by leveraging hardware trends such as GPUs and TPUs. The benchmarking was performed using 3 real-world data sets (weblogs, maps, and web-documents), and 1 synthetic dataset (lognormal). Learned indexes. Bigger picture.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

Abhishek Tiwari

DECEMBER 27, 2017

Over last few years, we have seen several attempts to run data workload in the containers especially distributed big data frameworks like Apache Hadoop, Apache Storm [3] , and Apache Spark [4] [5] without any software modifications. Obviously, containerized data workloads have their own challenges. optimised container networking and security.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Doing extensive benchmarks will be the subject of a future blog post. In any case, you should benchmark both RDS MySQL and Aurora before taking the decision to migrate.

AWS 52

AWS Database Serverless Storage 52

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. When available, it can use hardware level performance counters.

Big Data 45

Big Data Cloud Performance Hardware 45

Brendan Gregg

SEPTEMBER 25, 2021

As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. I love short benchmarks like this as I can disassemble the resulting binary and ensure that the compiled instructions match my expectations, and the compiler hasen't messed with it.

Speed 52

Speed Java AWS Virtualization 52

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Attendees could be broken down into several distinct groups. Where VoltDB fits.

Hardware 40

Hardware Latency Virtualization Cloud 40

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. In the context of web development, performance testing entails using software tools to simulate how an application runs under specific circumstances.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Percona

JANUARY 19, 2023

There are a couple of blog posts from Yves that describe and benchmark MySQL compression: Compression Options in MySQL (Part 1) Compression Options in MySQL (Part 2) Archive or purge old or non-used data: Some companies have to retain data for multiple years either for compliance or for business requirements.

Open Source 89

Open Source Storage Database Big Data 89

Brendan Gregg

SEPTEMBER 25, 2021

As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. I love short benchmarks like this as I can disassemble the resulting binary and ensure that the compiled instructions match my expectations, and the compiler hasen't messed with it. ## 7.

Speed 40

Speed Java AWS Virtualization 40

SQL Server According to Bob

JANUARY 11, 2020

Example 1: ​​ Hardware failure (CPU board) Battery backup on the caching controller maintained the data. Important Always consult with your hardware manufacturer for proper stable media strategies. Mirroring can be implemented at a software or hardware level.

Servers 40

Servers Cache Media Hardware 40

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. For anyone benchmarking MySQL with HammerDB it is important to understand the differences from sysbench workloads as HammerDB is targeted at a testing a different usage model from sysbench.

Best Practices 40

Best Practices Scalability Performance C++ 40