In this presentation, we will study some of the JMeter preprocessors. If you just bump to this page, mind that there is another article JMeter Pre-processors – 1 in our blog. What we are going to cover is;
Precise Throughput Timer
Synchronizing Timer
BeanShell Timer
JSR223 Timer
Poisson Random Timer
In this article you will get familiar with following timers:
Constant Timer
Gaussian Random Timer
Uniform Random Timer
Constant Throughput Timer
Precise Throughput Timer
Synchronizing Timer
BeanShell Timer
JSR223 Timer
Poisson Random Timer
Staleness and Isolation in Prometheus 2.0 (PromCon 2017)Brian Brazil
The biggest semantic change in Prometheus 2.0 is the new staleness handling. This long awaited feature means there's no longer a fixed 5 minute staleness. Now time series go stale when they're no longer exposed, and targets that no longer exist don't hang around for a full 5 minutes. Learn about how it works and how to take advantage of it.
Counting with Prometheus (CloudNativeCon+Kubecon Europe 2017)Brian Brazil
Counters are one of the two core metric types in Prometheus, allowing for tracking of request rates, error ratios and other key measurements. Learn why are they designed the way they are, how client libraries implement them and how rate() works.
If you'd like more information about Prometheus, contact us at prometheus@robustperception.io
In this article you will get familiar with following timers:
Constant Timer
Gaussian Random Timer
Uniform Random Timer
Constant Throughput Timer
Precise Throughput Timer
Synchronizing Timer
BeanShell Timer
JSR223 Timer
Poisson Random Timer
Staleness and Isolation in Prometheus 2.0 (PromCon 2017)Brian Brazil
The biggest semantic change in Prometheus 2.0 is the new staleness handling. This long awaited feature means there's no longer a fixed 5 minute staleness. Now time series go stale when they're no longer exposed, and targets that no longer exist don't hang around for a full 5 minutes. Learn about how it works and how to take advantage of it.
Counting with Prometheus (CloudNativeCon+Kubecon Europe 2017)Brian Brazil
Counters are one of the two core metric types in Prometheus, allowing for tracking of request rates, error ratios and other key measurements. Learn why are they designed the way they are, how client libraries implement them and how rate() works.
If you'd like more information about Prometheus, contact us at prometheus@robustperception.io
Diesel load testing software is a comprehensive tool for stress testing a website.
Diesel Test is a software designed in Delphi 5, for systems under NT environment.
It is distributed under the GNU LGPL license.
Using Diesel load testing tool you will come to know about how your website will perform in the real world when hundreds, thousands, (or potentially millions) of users would place on your website.
It is designed to test Internet web sites (HTTP and HTTPS requests), with monitoring and graphical representations.
Process Synchronization Producer-Consumer ProblemThe purpose o.docxstilliegeorgiana
Process Synchronization: Producer-Consumer Problem
The purpose of this programming project is to explore process synchronization. This will be
accomplished by writing a program on the Producer / Consumer problem described below. Your
simulation will be implemented using Pthreads. This assignment is a modification to the
programming project “The Producer – Consumer Problem” found at the end of Chapter 7 of our
textbook. 1. Your program must be written using C or C++ and you are required to use the
Pthread with mutex and semaphore libraries.
In chapter 3, we discussed how a "bounded buffer" could be used to enable producer and
consumer processes to share memory. We described a technique using a circular buffer that can
hold BUFFER_SIZE-1 items. By using a shared memory location count, the buffer can hold all
BUFFER_SIZE items. This count is initialized to 0 and is incremented every time an item is
placed into the buffer and decremented every time an item is removed from the buffer. The
count data item can also be implemented as a counting semaphore.
The producer can place items into the buffer only if the buffer has a free memory location to
store the item. The producer cannot add items to a full buffer. The consumer can remove items
from the buffer if the buffer is not empty. The consumer must wait to consume items if the buffer
is empty.
The "items" stored in this buffer will be integers. Your producer process will have to insert
random numbers into the buffer. The consumer process will consume a number.
Assignment Specifications
The buffer used between producer and consumer processes will consist of a fixed-size array of
type buffer_item. The queue of buffer_item objects will be manipulated using a circular array.
The buffer will be manipulated with two functions, buffer_insert_item() and
buffer_remove_item(), which are called by the producer and consumer threads, respectively. A
skeleton outlining these functions can be found in buffer.h (provided with this assignment).
The buffer_insert_item() and buffer_remove_item() functions will synchronize the producer and
consumer using the algorithms. The buffer will also require an initialization function (not
supplied in buffer.h) that initializes the mutual exclusion object "mutex" along with the "empty"
and "full" semaphores.
The producer thread will alternate between sleeping for a random period of time and generating
and inserting (trying to) an integer into the buffer. Random numbers will be generated using the
rand_r() function. See the text on page 290 for an overview of the producer algorithm.
The consumer thread will alternate between sleeping for a random period of time (thread safe of
course) and (trying to) removing a number out of the buffer. See the text on page 290 for an
overview of the consumer algorithm.
The main function will initialize the buffer and create the separate producer and consumer
threads. Once it has created the producer and consu ...
Resource from Apache JMeter and Online. Taken this topic for Testing Team at Bullseye for knowledge sharing day - 26th April 2013. Thanks guys for listening!.
Exploring Microoptimizations Using Tizen Code as an ExamplePVS-Studio
When talking about PVS-Studio's diagnostic capabilities in our articles, we usually leave out its recommendations about the use of microoptimizations in C and C++ code. These are not as crucial as diagnostics detecting bugs, of course, but they make an interesting subject for discussion as well.
JMeter is an Apache Jakarta project that can be used as a load testing tool for analyzing and measuring the performance of a variety of services, with a focus on web applications.
www.silenceit.ca
RxJava pour Android : présentation lors du GDG Android MontréalSidereo
Reactive extensions are a framework created by Microsoft for .NET at the end of 2009.
It is a «library that allows programmers to write succinct declarative code to orchestrate and coordinate asynchronous and event-based programs »
The way you write code with this library might be referred to as functional reactive programming, we’ll talk more about this during the presentation.
It is now available for Java and Android. The specifics for Android are helpers for thread and UI stuff.
Jake Wharton is a huge contributor for the Android version
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Diesel load testing software is a comprehensive tool for stress testing a website.
Diesel Test is a software designed in Delphi 5, for systems under NT environment.
It is distributed under the GNU LGPL license.
Using Diesel load testing tool you will come to know about how your website will perform in the real world when hundreds, thousands, (or potentially millions) of users would place on your website.
It is designed to test Internet web sites (HTTP and HTTPS requests), with monitoring and graphical representations.
Process Synchronization Producer-Consumer ProblemThe purpose o.docxstilliegeorgiana
Process Synchronization: Producer-Consumer Problem
The purpose of this programming project is to explore process synchronization. This will be
accomplished by writing a program on the Producer / Consumer problem described below. Your
simulation will be implemented using Pthreads. This assignment is a modification to the
programming project “The Producer – Consumer Problem” found at the end of Chapter 7 of our
textbook. 1. Your program must be written using C or C++ and you are required to use the
Pthread with mutex and semaphore libraries.
In chapter 3, we discussed how a "bounded buffer" could be used to enable producer and
consumer processes to share memory. We described a technique using a circular buffer that can
hold BUFFER_SIZE-1 items. By using a shared memory location count, the buffer can hold all
BUFFER_SIZE items. This count is initialized to 0 and is incremented every time an item is
placed into the buffer and decremented every time an item is removed from the buffer. The
count data item can also be implemented as a counting semaphore.
The producer can place items into the buffer only if the buffer has a free memory location to
store the item. The producer cannot add items to a full buffer. The consumer can remove items
from the buffer if the buffer is not empty. The consumer must wait to consume items if the buffer
is empty.
The "items" stored in this buffer will be integers. Your producer process will have to insert
random numbers into the buffer. The consumer process will consume a number.
Assignment Specifications
The buffer used between producer and consumer processes will consist of a fixed-size array of
type buffer_item. The queue of buffer_item objects will be manipulated using a circular array.
The buffer will be manipulated with two functions, buffer_insert_item() and
buffer_remove_item(), which are called by the producer and consumer threads, respectively. A
skeleton outlining these functions can be found in buffer.h (provided with this assignment).
The buffer_insert_item() and buffer_remove_item() functions will synchronize the producer and
consumer using the algorithms. The buffer will also require an initialization function (not
supplied in buffer.h) that initializes the mutual exclusion object "mutex" along with the "empty"
and "full" semaphores.
The producer thread will alternate between sleeping for a random period of time and generating
and inserting (trying to) an integer into the buffer. Random numbers will be generated using the
rand_r() function. See the text on page 290 for an overview of the producer algorithm.
The consumer thread will alternate between sleeping for a random period of time (thread safe of
course) and (trying to) removing a number out of the buffer. See the text on page 290 for an
overview of the consumer algorithm.
The main function will initialize the buffer and create the separate producer and consumer
threads. Once it has created the producer and consu ...
Resource from Apache JMeter and Online. Taken this topic for Testing Team at Bullseye for knowledge sharing day - 26th April 2013. Thanks guys for listening!.
Exploring Microoptimizations Using Tizen Code as an ExamplePVS-Studio
When talking about PVS-Studio's diagnostic capabilities in our articles, we usually leave out its recommendations about the use of microoptimizations in C and C++ code. These are not as crucial as diagnostics detecting bugs, of course, but they make an interesting subject for discussion as well.
JMeter is an Apache Jakarta project that can be used as a load testing tool for analyzing and measuring the performance of a variety of services, with a focus on web applications.
www.silenceit.ca
RxJava pour Android : présentation lors du GDG Android MontréalSidereo
Reactive extensions are a framework created by Microsoft for .NET at the end of 2009.
It is a «library that allows programmers to write succinct declarative code to orchestrate and coordinate asynchronous and event-based programs »
The way you write code with this library might be referred to as functional reactive programming, we’ll talk more about this during the presentation.
It is now available for Java and Android. The specifics for Android are helpers for thread and UI stuff.
Jake Wharton is a huge contributor for the Android version
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
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Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Understanding Nidhi Software Pricing: A Quick Guide 🌟
Choosing the right software is vital for Nidhi companies to streamline operations. Our latest presentation covers Nidhi software pricing, key factors, costs, and negotiation tips.
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#NidhiSoftwarePrice #NidhiSoftware #VectorNidhi
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
2. 1
In this presentation, we will study some of the JMeter
preprocessors. If you just bump to this page, mind that
there is another article JMeter Pre-processors – 1 in
our blog. What we are going to cover is;
Precise Throughput Timer
Synchronizing Timer
BeanShell Timer
JSR223 Timer
Poisson Random Timer
3. 2
This timer is not having any fixed amount of pause, it
has variable pauses and calculated the throughput as
close as possible to the given number. Although it has
a precise word in the name itself, still throughput not
need to be precise.
For instance, if a user wants to pause with different
times for switching different pages in the website, then
this throughput timer is used without using precise
throughput.
If you want to add this timer, follow these steps:
Go to Thread Group
Add new Sampler
Right-click on Sampler
Click on Add
Click on Timer
Click on Precise Throughput Timer
Precise Throughput Timer
5. 4
There are multiple fields in Precise Throughput Timer. Let’s go the details of each one.
Name: This is just a name for the timer which will display in the result.
Target throughput: This is for all the groups and samplers. This works as samples per “throughput period.”
Throughput Period- This time is divided with the throughput value and the user gets the samples per second.
Test duration: This is the total time which a test is taken to execute.
Number of threads in a Batch: It shows the total no. of threads in a go.
Delay between the threads- It shows delay time between the threads.
Use approximate throughput when sequence length exceeds: When the samples are less than the limit then this timer will create
the exact no. of samples.
Allowed throughput surplus: It is used when the samples are more than the limit then it increased accordingly.
Random seed: This value can change from 0 to any random value.
Precise Throughput Timer
7. 6
This timer is used to block the threads until the certain
no. of threads have been blocked. After that all the
blocked threads are released at once thus it increases
the load at many points in the test plan.
For example, After signup in the particular website
with multiple users, and after that all users may log in
at the same time then we can use this timer for the
blocking the process for some time after sign up.
To find this timer, see these steps:
Go to Thread Group
Add new Sampler
Right-click on Sampler
Click on Add
Click on Timer
Click on Synchronizing Timer
Synchronizing Timer
9. 8
This timer also has following sections,
Name: This is just a name for the timer which will
display in the result.
Number of simultaneous users to Group by: It
shows the threads which are ready to release.
Timeout in milliseconds: This time is basically for
the above field to reach the value of the number of
simultaneous users to group by.
Synchronizing Timer
11. 10
The BeanShell Timer is used to create a delay time
between each request.
For example, after Login into the Facebook, User
wants to go to the profile page and wants to update
the profile picture then this timer can be used for the
delay between opening the updating the profile
picture.
For adding this Timer to your sampler, here you go:
Go to Thread Group
Add new Sampler
Right-click on Sampler
Click on Add
Click on Timer
Click on BeanShell Timer
Synchronizing Timer
13. 12
This timer displays these fields:
Name: This is just a name for timer which will display
in the result.
Reset bsh. Interpreter before each call: If a user
wants to select this option then the interpreter will be
regenerated for each sample.
Parameters: This is used for the parameters to be
passed to the script.
Script File: This is having a file to run which is a
BeanShell Script.
Script: This is the BeanShell script which returns the
value of the used milliseconds to wait.
Beanshell Timer
15. 14
Beanshell Timer
In the above screenshot, no. of threads (TCount) and ramp duration (RPeriod) are used as user-defined variables and
accessed these variables using vars.get (Parameter-name). Thread loop counter argument accessed by bsh.args[].
16. 15
This Timer works same as BeanShell Timer to
generate the delay but the difference is that it
generates the delay between each request using the
JSR223 scripting language.
For example, If a user wants to delay between the
Login and edit profile requests then this timer should
take place.
How to add this timer to your Sampler, Please follow
these steps:
Go to Thread Group
Add new Sampler
Right-click on Sampler
Click on Add
Click on Timer
Click on JSR223 Timer
JSR223 Timer
18. 17
This Timer has sections below:
Name: This is just a name for timer which will display
in the result.
Script Language: This is for JSR223 scripting
language.
Parameters: This is used for the parameters to be
passed to the script.
Script File: This is having a file to run which is a
BeanShell Script.
Script compilation caching: It has the cache of
compiled scripting.
Script: This is the BeanShell script which returns the
value of the used milliseconds to wait.
JSR223 Timer
19. 18
JSR223 Timer
In the above screenshot, Scenario is for 3000 milliseconds (3 seconds). If the scenario runs over 3 seconds then The
‘Abc’ value is not required anymore. Here ‘a’ is having the conditions for null and not null situations of scenario timer
and used vars.put method just before returning the value of ‘a’.
20. 19
This Timer basically works as Gaussian Random
Timer for the random amount of pause but the
difference is that the total delay value is an addition of
Poisson distributed value and the offset value.
For example, If a user wants to switch the pages after
Login into the particular website with the distributed
amount of time pauses then this timer should be used.
To add this timer into your sampler follow these steps:
Go to Thread Group
Add new Sampler
Right-click on Sampler
Click on Add
Click on Timer
Click on Poisson Random Timer
Poisson Random Timer
22. 21
This timer contains these fields:
Name– This is just a name for timer which will display
in the result.
Lambda- This value used in milliseconds for the
Poisson distribution.
Constant Delay Offset- This time is to pause in
addition to random delay in milliseconds.
Poisson Random Timer