HammerDB

OCTOBER 23, 2023

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. As an example from the TPC-C specification, this is the Stock Level procedure. On MySQL, we saw a 1.5X performance advantage.

Benchmarking 62

Benchmarking Database Network C++ 62

HammerDB

OCTOBER 18, 2019

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. hardware limits: 1000 MHz - 4.00 hardware limits: 1000 MHz - 4.00 3834 2696 .

Benchmarking 63

Benchmarking Performance Hardware C++ 63

Brendan Gregg

AUGUST 18, 2019

For example, iostat(1), or a monitoring agent, may tell you your average disk latency, but not the distribution of this latency. This example instrumented one of many thousands of available events. For smaller environments, it can be of more use helping eliminate latency outliers. There's no filter.

Latency 68

Latency C++ Cache Programming 68

Dotcom-Montior

NOVEMBER 11, 2020

Serverless computing can be a huge benefit to organizations that don’t have the necessary resources or teams to manage physical resources, like servers/hardware, and all the maintenance and licensing that goes along with that, allowing them to focus on developing their code and applications. Benefits of a Serverless Model.

Serverless 57

Serverless Monitoring Lambda Latency 57

The Morning Paper

APRIL 14, 2019

The paper sets out what we can do in software given today’s hardware, and along the way also highlights areas where cooperation from hardware will be needed in the future. Even when we do flush caches, the latency of flushing can itself be used as a channel! Microarchitectural channels. Threat scenarios.

Hardware 44

Hardware Cache Latency Speed 44

The Morning Paper

DECEMBER 8, 2019

Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. Therefore any programming abstraction must be low latency and the kernel needs to be kept off the path of persistent data access as much as possible.

Hardware 56

Hardware Programming Media Storage 56

Percona

APRIL 17, 2023

Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100. The CFQ works well for many general use cases but lacks latency guarantees. Without further ado, let’s start with the OS settings.

Best Practices 52

Best Practices Design Tuning Database 52

All Things Distributed

JANUARY 23, 2012

The Amazon Virtual Private Cloud extends on-premises compute with all the power of AWS, making it elastic, scalable and highly reliable. Data written to these volumes is maintained on your on-premises storage hardware while being asynchronously backed up to AWS, where it is stored in Amazon S3 in the form of Amazon EBS snapshots.

Storage 115

Storage AWS Virtualization Cloud 115

Dotcom-Montior

DECEMBER 8, 2021

You cannot virtualize everything…yet. Software services still require physical devices and hardware for them to function. Knowing when and where an error, downtime, or application latency occurs is a critical factor in limiting the impact to users and customers. Asset Management. Incident Response, Resolution, and Closure.

Social Media 90

Social Media Monitoring Latency DevOps 90

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. This was both expensive and time consuming to configure.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

Brendan Gregg

AUGUST 8, 2017

For example, an hourly load average of 10 would mean that (for a single CPU system) at any time during that hour one could expect to see 1 process running and 9 others ready to run (i.e., In my examples, I'm just showing the kernel stacks, but offcputime.py not blocked for I/O) waiting for the CPU. They aren't idle. termc$ uptime.

Latency 111

Latency Metrics C++ Systems 111

HammerDB

OCTOBER 12, 2018

As with the previous guides as an Intel employee (#IAMINTEL) the examples are taken from a MySQL 8 on Linux on Intel system and the approach is the same for whatever system you are testing although some of the settings you see may be different. an example is shown of the shortest of these: . hardware limits: 1000 MHz - 3.80

Best Practices 40

Best Practices Scalability Performance C++ 40

Abhishek Tiwari

DECEMBER 27, 2017

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. Twitter Heron is another good example of this approach. In fact, if we go by current trends containerised microservices running on Kubernetes are the future.

Big Data 63

Big Data Storage Benchmarking Hardware 63

SQL Server According to Bob

JANUARY 11, 2020

Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. The following are examples of successful recovery situations actually encountered by Microsoft SQL Server Product Support Services personnel. This cache is often supported by a battery-powered backup facility.

Servers 40

Servers Cache Media Hardware 40

Brendan Gregg

SEPTEMBER 5, 2017

Here's some output from my zfsdist tool, in bcc/BPF, which measures ZFS latency as a histogram on Linux: # zfsdist. Tracing ZFS operation latency. For example, although it's very minor, the /dev/*random devices were faster on Solaris last time I checked, as Linux was spending more effort on entropy for improving security. (Or,

Virtualization 76

Virtualization AWS Engineering Hardware 76

Alex Russell

APRIL 29, 2021

Now in development in WebKit after years of radio silence, WebXR APIs provide Augmented Reality and Virtual Reality input and scene information to web applications. For heavily latency-sensitive use-cases like WebXR, this is a critical component in delivering a good experience. is access to hardware devices. Offscreen Canvas.

Media 145

Media Games Education Engineering 145

Dynatrace

AUGUST 5, 2019

Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. Remember: This is a critical aspect as you do not want to migrate a service and suddenly introduce high latency or costs to a system that you forgot about having a dependency with!

Cloud 31

Cloud Traffic Database Network 31

SQL Server According to Bob

JANUARY 11, 2020

As ​​ a ​​ simple ​​ example, ​​ take the following ​​ 2-byte string value of “AB” and apply a formula to it (Value = Position + ASCII value). ​​ Checksum ​​ is ​​ the sum of the values.

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 11, 2021

For example, to make performance more tangible, you could expose the revenue performance impact by showing the correlation between the conversion rate and time to application load, as well as rendering performance. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ).

Performance 145

Performance Cache Media Metrics 145

All Things Distributed

MARCH 11, 2016

This is a given, whether you are using the highest quality hardware or lowest cost components. This becomes an even more important lesson at scale: for example, as S3 processes trillions and trillions of storage transactions, anything that has even the slightest probability of error will become realistic. Primitives not frameworks.

AWS 144

AWS Hardware Retail Virtualization 144

All Things Distributed

JANUARY 18, 2012

Amazon DynamoDB offers low, predictable latencies at any scale. This is not just predictability of median performance and latency, but also at the end of the distribution (the 99.9th percentile), so we could provide acceptable performance for virtually every customer. s read latency, particularly as dataset sizes grow.

Scalability 167

Scalability Database Ecommerce Latency 167