A performance testing tool measures how a system performs under increasing load by simulating multiple users. It generates load on the system, measures the response times of transactions as load varies, and produces reports and graphs. Key metrics measured include response time, hits/requests per second, throughput, transactions/connections per second, and pages downloaded per second. These metrics help identify how the system's performance is affected by load and determine if there are any scalability issues.
Software Development Life Cycle Models | What are Software Process Models ?
Here you are going to know What is Software Development Life Cycle Model or What are Software Process Models?
Software Process Models defines a distinct set of activities, actions, tasks, milestones, and work products that are required to engineer high-quality software...
For more knowledge watch full video...
Video URL:
https://youtu.be/3Lxnn0O3xaM
YouTube Channel URL:
https://www.youtube.com/channel/UCKVvceV1RGXLz0GeesbQnVg
Google+ Page URL:
https://plus.google.com/113458574960966683976/videos?_ga=1.91477722.157526647.1466331425
My Website Link:
http://appsdisaster.blogspot.com/
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Software Process Models | Software Development Process Models | SDLC | Traditional Software Process Models | Waterfall Model Incremental Model | Prototyping Model | Evolutionary Process Model
The software development life cycle (SDLC) is a framework defining tasks performed at each step in the software development process. SDLC is a structure followed by a development team within the software organization. It consists of a detailed plan describing how to develop, maintain and replace specific software.
Detailed presentation on performance testing and Loadrunner.
Complete course is available on udemy.
Use below link to get the course for just 20 USD
https://www.udemy.com/performance-testing-using-microfocus-loadrunner-basics-advanced/?couponCode=PTLR20D
Software Development Life Cycle Models | What are Software Process Models ?
Here you are going to know What is Software Development Life Cycle Model or What are Software Process Models?
Software Process Models defines a distinct set of activities, actions, tasks, milestones, and work products that are required to engineer high-quality software...
For more knowledge watch full video...
Video URL:
https://youtu.be/3Lxnn0O3xaM
YouTube Channel URL:
https://www.youtube.com/channel/UCKVvceV1RGXLz0GeesbQnVg
Google+ Page URL:
https://plus.google.com/113458574960966683976/videos?_ga=1.91477722.157526647.1466331425
My Website Link:
http://appsdisaster.blogspot.com/
If you are interested in learning more about topics like this so Please don't forget to like, share, & Subscribe to this channel.
Thanks
Software Process Models | Software Development Process Models | SDLC | Traditional Software Process Models | Waterfall Model Incremental Model | Prototyping Model | Evolutionary Process Model
The software development life cycle (SDLC) is a framework defining tasks performed at each step in the software development process. SDLC is a structure followed by a development team within the software organization. It consists of a detailed plan describing how to develop, maintain and replace specific software.
Detailed presentation on performance testing and Loadrunner.
Complete course is available on udemy.
Use below link to get the course for just 20 USD
https://www.udemy.com/performance-testing-using-microfocus-loadrunner-basics-advanced/?couponCode=PTLR20D
There are many ways to ruin a performance testing project, there is just a handful of ways to do it right. This publication analyses the most widespread performance testing blunders. It is impossible in one article to expose all the varieties of testing wrongdoings; as such, this publication is definitely an open-ended.
Performance testing interview questions and answersGaruda Trainings
In software engineering, performance testing is in general testing performed to determine how a system performs in terms of responsiveness and stability under a particular workload. It can also serve to investigate, measure, validate or verify other quality attributes of the system, such as scalability, reliability and resource usage.
Enterprise applications in the cloud: a roadmap to workload characterization ...Leonid Grinshpan, Ph.D.
This article provides a road map to enterprise application workload characterization and prediction by:
- Identifying the constituents of EA transactional workload and specifying the metrics to quantify it.
- Reviewing the technologies generating raw transactional data.
- Examining Big Data Analytic ability to extract workload characterization from raw transactional data.
- Assessing the methods that discover the workload variability patterns.
Load Runner Methodology to Performance Testingijtsrd
The paper covers the most important part of testing which is essential for testing the performance of application before going 'Live'. In my research and analysis with Microfocus owned tool 'Load Runner', we will discuss about it deals with web based application and approach to calculate transaction per hour TPH for test execution. As tool supports many protocols based on the nature of application. Performance testing is used to analyze the real time response time for business transaction. Application be constant with increasing load or with simultaneous users should not affect the performance of the application, is our main motto as a Performance Tester Engineer. Ashish Kumar ""Load Runner: Methodology to Performance Testing"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30155.pdf
Paper Url : https://www.ijtsrd.com/computer-science/cognitive-science/30155/load-runner-methodology-to-performance-testing/ashish-kumar
Conceptual models of enterprise applications as instrument of performance ana...Leonid Grinshpan, Ph.D.
The article introduces enterprise applications conceptual models that uncover performance related fundamentals distilled of innumerable application particulars concealing the roots of performance issues. The value of conceptual models for performance analysis is demonstrated on two examples of virtualized and non-virtualized applications conceptual models.
Starting Your DevOps Journey – Practical Tips for OpsDynatrace
To watch, please see:
https://info.dynatrace.com/apm_wc_getting_started_with_devops_na_registration.html
Starting Your DevOps Journey: Practical Tips for Ops
In this webinar, Andreas Grabner, Chief DevOps Activist at Dynatrace, shares practical tips that all IT groups from Dev to Ops can use to start their DevOps journey quickly. With experience from hundreds of DevOps deployments, Andi provides insights it would take your team months or years to learn firsthand.
- Learn how everyone on your Ops team can use APM to better understand and monitor SLAs, Performance and End User Impact of their applications.
- Foster better collaboration between Ops and architects by extending basic system monitoring to monolith and microservices architectures.
- Shift-left your testing and QA by working with metrics that you and the architects agreed on up front, resulting in early relevant feedback and faster code deployments.
- Hear why changing the cultural mindset from “fear of change” to “Continuous Innovation and Optimization” is critical for success.
Andi is joined by guest speaker, Brian Chandler, Systems Engineer at Raymond James, who shares commonly used Ops dashboards that increase collaboration across IT teams and pro-actively break down silos!
Client Side Performance In Web Applicationsvladungureanu
Client-side optimization for web applications is an important issue that must be considered by any web developer. This paper presents some approaches regarding web applications client-side optimization. We
discuss the optimization techniques that refer to CSS, JavaScript and HTML. We also we oer a preview on various tools that can be used for proling, debugging and optimizing, such as Firebug. The final part of the paper sums some conclusions regarding client-side optimization.
Whitepaper: Volume Testing Thick Clients and DatabasesRTTS
Even in the current age of cloud computing there are still endless benefits of developing thick client software: non-dependency on browser version, offline support, low hosting fees, and utilizing existing end user hardware, to name a few.
It's more than likely that your organization is utilizing at least a few thick client applications. Now consider this: as your user base grows, does your think client's back-end server need to grow as well? How quickly? How do you ensure that you provide the correct amount of additional capacity without overstepping and unnecessarily eating into your profits? The answer is volume testing.
Read how RTTS does this with IBM Rational Performance Tester.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Key Trends Shaping the Future of Infrastructure.pdf
Performance testing tool
1. Performance testing tool:
A tool to support performance testing and that usually has two main facilities: load generation and
test transaction measurement. Load generation can simulate either multiple users or high volumes of
input data. During execution, response time measurements are taken from selected transactions and
these are logged. Performance testing tools normally provide reports based on test logs and graphs of
load against response times.
Features or characteristics of performance-testing tools include support for:
• generating a load on the system to be tested;
• measuring the timing of specific transactions as the load on the system varies;
• measuring average response times;
• producing graphs or charts of responses over time.
Load test:
A test type concerned with measuring the behavior of a component or system with increasing load,
e.g. number of parallel users and/or numbers of transactions to determine what load can be handled
by the component or system.
While doing Performance testing we measure some of the following:
Characterisitics (SLA)
Measurement (units)
Response Time
Seconds
Hits per Second
#Hits
Throughput
Bytes Per Second
Transactions per Second (TPS)
#Transactions of a Specific Business Process
Total TPS (TTPS)
Total no.of Transactions
Connections per Second (CPS)
#Connections/Sec
Pages Downloaded per Second (PDPS)
#Pages/Sec
Some Definitions and importance of the Above:
Response Time :
What is Transaction Response Time?
Transaction Response Time represents the time taken for the application to complete a defined
transaction or business process.
Why is important to measure Transaction Response Time?
The objective of a performance test is to ensure that the application is working perfectly under load.
However, the definition of “perfectly” under load may vary with different systems.
By defining an initial acceptable response time, we can benchmark the application if it is performing
as anticipated.
2. The importance of Transaction Response Time is that it gives the project team/ application team an
idea of how the application is performing in the measurement of time. With this information, they
can relate to the users/customers on the expected time when processing request or understanding
how their application performed.
What does Transaction Response Time encompass?
The Transaction Response Time encompasses the time taken for the request made to the web server,
there after being process by the Web Server and sent to the Application Server. Which in most
instances will make a request to the Database Server. All this will then be repeated again backward
from the Database Server, Application Server, Web Server and back to the user. Take note that the
time taken for the request or data in the network transmission is also factored in.
To
simplify,
the
Transaction
Response
Time
1.
Processing
time
on
2.
Processing
time
on
3. Processing
time
on
4. Network latency between the servers, and the client.
comprises
of
the
Web
Application
Database
following:
Server
Server
Server.
The following diagram illustrates Transaction Response Time.
Transaction Response Time = (t1 + t2 + t3 + t4 + t5 + t6 + t7 + t8 + t9) X 2
Note:
Factoring
the
time
taken
for
the
data
to
return
How
do
we
to
the
client.
measure?
Measuring of the Transaction Response Time begins when the defined transaction makes a request
to the application. From here, till the transaction completes before proceeding with the next
subsequent request (in terms of transaction), the time is been measured and will stop when the
transaction completes.
Differences with Hits Per Seconds
3. Hits per Seconds measures the number of “hits” made to a web server. These “hits” could be a
request made to the web server for data or graphics. However, this counter does not represent well to
users on how well their applications is performing as it measures the number of times the web server
is being accessed.
How can we use Transaction Response Time to analyze performance issue?
Transaction Response Time allows us to identify abnormalities when performance issues surface.
This will be represented as slow response of the transaction, which differs significantly (or slightly)
from the average of the Transaction Response Time.
With this, we can further drill down by correlation using other measurements such as the number of
virtual users that is accessing the application at the point of time and the system-related metrics (e.g.
CPU Utilization) to identify the root cause.
Bringing all the data that have been collected during the load test, we can correlate the
measurements to find trends and bottlenecks between the response time, the amount of load that
was generated and the payload of all the components of the application.
How is it beneficial to the Project Team?
Using Transaction Response Time, Project Team can better relate to their users using transactions as
a form of language protocol that their users can comprehend. Users will be able to know that
transactions (or business processes) are performing at an acceptable level in terms of time.
Users may be unable to understand the meaning of CPU utilization or Memory usage and thus using
a common language of time is ideal to convey performance-related issues.
Relation between Load, Response Time and Performance:
1.
2.
Load is Directly Proportional to Response Time
Performance is inversely proportional to Response Time.
So, As and When the Load increases the Response Time Increases. As Response Time Increases, the
Performance Decreases.
Hits Per Second
A Hit is a request of any kind made from the virtual client to the application being tested (Client to
Server). It is measured by number of Hits. The higher the Hits Per Second, the more requests the
application is handling per second.
A virtual client can request an HTML page, image, file, etc. Testing the application for Hits Per
Second will tell you if there is a possible scalability issue with the application. For example, if the
stress on an application increases but the Hits Per Second does not, there may be a scalability
problem in the application.
4. One issue with this metric is that Hits Per Second relates to all requests equally.
Thus a request for a small image and complex HTML generated on the fly will both be considered as
hits. It is possible that out of a hundred hits on the application, the application server actually
answered only one and all the rest were either cached on the web server or other caching mechanism.
So, it is very important when looking at this metric to consider what and how the
application is intended to work. Will your users be looking for the same piece of
information over and over again (a static benefit form) or will the same number of users be engaging
the application in a variety of tasks – such as pulling up images, purchasing items, bringing in data
from another site? To create the proper test, it is important to understand this metric in the context
of the application. If you‟re testing an application function that requires the site to „work,‟ as opposed
to present static data, use the pages per second measurement.
Pages Per Second
Pages Per Second measures the number of pages requested from the application per second. The
higher the Page Per Second the more work the application is doing per second. Measuring an explicit
request in the script or a frame in a frameset provides a metric on how the application responds to
actual work requests. Thus if a script contains a Navigate command to a URL, this request is
considered a page. If the HTML that returns includes frames they will also be considered pages, but
any other elements retrieved such as images or JS Files, will be considered hits, not pages. This
measurement is key to the end-user‟s experience of application performance.
Correlation: If the stress increases, but the Page Per Second count doesn‟t, there may be a scalability
issue. For example, if you begin with 75 virtual users requesting 25 different pages concurrently and
then scale the users to 150, the Page Per Second count should increase. If it doesn‟t, some of the
virtual users aren‟t getting their pages. This could be caused by a number of issues and one likely
suspect is throughput.
Throughput
“The amount of data transferred across the network is called throughput. It considers the amount of
data transferred from the server to client only and is measured in Bytes/sec.”
This is an important baseline metric and is often used to check that the application and its server
connection is working. Throughput measures the average number of bytes per second transmitted
from the application being tested to the virtual clients running the test agenda during a specific
reporting interval. This metric is the response data size (sum) divided by the number of seconds in
the reporting interval.
Generally, the more stress on an application, the more Throughput. If the stress increases, but the
Throughput does not, there may be a scalability issue or an application issue.
Another note about Throughput as a measurement – it generally doesn‟t provide any information
about the content of the data being retrieved. Thus it can be misleading especially in regression
5. testing. When building regression tests, leave time in the testing plan for comparing returned data
quality.
Round Trips
Another useful scalability and performance metric is the testing of Round Trips. Round Trips tells
you the total number of times the test agenda was executed versus the total number of times the
virtual clients attempted to execute the Agenda. The more times the agenda is executed, the more
work is done by the test and the application.
The test scenario the agenda represents influences the round Trips measurement.
This metric can provide all kinds of useful information from the benchmarking of an application to
the end-user availability of a more complex application. It is not
recommended for regression testing because each test agenda may have a different scenario and/or
length of scenario.
Hit Time
Hit time is the average time in seconds it took to successfully retrieve an element of any kind (image,
HTML, etc). The time of a hit is the sum of the Connect Time, Send Time, Response Time and
Process Time. It represents the responsiveness or performance of the application to the end user.
The more stressed the application, the longer it should take to retrieve an average element. But, like
Hits Per Second, caching technologies can influence this metric. Getting the most from this metric
requires knowledge of how the application will respond to the end user.
This is also an excellent metric for application monitoring after deployment.
Time to First Byte
This measurement is important because end users often consider a site malfunctioning if it does not
respond fast enough. Time to First Byte measures the number of seconds it takes a request to return
its first byte of data to the test software‟s Load Generator.
For example, Time to First Byte represents the time it took after the user pushes the “enter” button
in the browser until the user starts receiving results. Generally, more concurrent user connections
will slow the response time of a request. But there are also other possible causes for a slowed
response.
For example, there could be issues with the hardware, system software or memory issues as well as
problems with database structures or slow-responding components within the application.
Page Time
Page Time calculates the average time in seconds it takes to successfully retrieve a page with all of its
content. This statistic is similar to Hit Time but relates only to pages. In most cases this is a better
statistic to work with because it deals with the true dynamics of the application. Since not all hits can
be cached, this data is more helpful in terms of tracking a user‟s experience (positive or frustrated).
It‟s important to note that in many test software application tools you can turn caching on or off
depending on your application needs.
6. Generally, the more stress on the site the slower its response. But since stress is a combination of the
number of concurrent users and their activity, greater stress may or may not impact the user
experience. It all depends upon the application‟s functions and users. A site with 150 concurrent
users looking up benefit information will differ from a news site during a national emergency. As
always, metrics must be examined within context.
Failed Rounds/Failed Rounds Per Second
During a load test it‟s important to know that the application requests perform as
expected. The Failed Rounds and Failed Rounds Per Second tests the number of
rounds that fail.
This metric is an “indicator metric” that provides QA and test with clues to the
application performance and failure status. If you start to see Failed Rounds or Failed Rounds Per
Second, then you would typically look into the logs to see what types of failures correspond to this
metric report. Also, with some software test packages, you can set what the definition of a failed
round in an application.
Sometimes, basic image or page missing errors (HTTP 404 error codes) could be set to fail a round,
which would stop the execution of the test agenda at that point and start at the top of the agenda
again, thus not completing that particular round.
Failed Hits/Failed Hits Per Second
This test offers insight into the application‟s integrity during the load test. An example of a request
that might fail during execution is a broken link or a missing image from the server. The number of
errors should grow with the load size. If there are no errors with a low load, the number of errors
with a high load should remain zero. If the percentage of errors only increases during high loads, the
application may have a scalability issue.
Failed Connections
This test is simply the number of connections that were refused by the application during the test.
This test leads to other tests. A failed connection could mean the server was too busy to handle all the
requests, so it started refusing them. It could be a memory issue. It could also mean that the user
sent bogus or malformed data to which the server couldn‟t respond so it refused the connection.