For Impetus’ White Papers archive, visit- http://www.impetus.com/whitepaper
In this white paper we talk about how you can integrate on-premise and cloud-based options to build an effective performance testing strategy.
Harnessing the Cloud for Performance Testing- Impetus White PaperImpetus Technologies
For Impetus’ White Papers archive, visit- http://www.impetus.com/whitepaper
The paper provides insights on the various benefits of using the Cloud for Performance Testing as well as how to address the various challenges associated with this approach.
Load and Performance Testing for J2EE - Testing, monitoring and reporting usi...Alexandru Ersenie
A presentation of how load and performance testing can be done in the J2EE world using open source tools
You will find things like Performance Basics (scope, metrics, factors on performance, generating load, performance reports), Monitoring (Monitoring types, active and reactive monitoring, CPU, Garbage Collection monitoring, Heap and other monitoring) and Tools (open source tools for monitoring, reporting and analysing)
Why do customers migrate to cloud? The answer is complex on the one hand, but the main benefits are pretty simple on the other one.
1.There is no need to take care about hardware availability, reliability and maintenance.
2.Relatively stable performance of hosted applications.
3.Easy backup process of the whole system or its part.
This information can be found in almost any marketing prospect on Cloud Computing and Cloud Hosting.
This document is centered on less obvious concepts.
It reveals the areas that you should care about before and during migration to a Cloud environment and explains why you should do that.
Introduction
Harnessing the Cloud for Performance Testing- Impetus White PaperImpetus Technologies
For Impetus’ White Papers archive, visit- http://www.impetus.com/whitepaper
The paper provides insights on the various benefits of using the Cloud for Performance Testing as well as how to address the various challenges associated with this approach.
Load and Performance Testing for J2EE - Testing, monitoring and reporting usi...Alexandru Ersenie
A presentation of how load and performance testing can be done in the J2EE world using open source tools
You will find things like Performance Basics (scope, metrics, factors on performance, generating load, performance reports), Monitoring (Monitoring types, active and reactive monitoring, CPU, Garbage Collection monitoring, Heap and other monitoring) and Tools (open source tools for monitoring, reporting and analysing)
Why do customers migrate to cloud? The answer is complex on the one hand, but the main benefits are pretty simple on the other one.
1.There is no need to take care about hardware availability, reliability and maintenance.
2.Relatively stable performance of hosted applications.
3.Easy backup process of the whole system or its part.
This information can be found in almost any marketing prospect on Cloud Computing and Cloud Hosting.
This document is centered on less obvious concepts.
It reveals the areas that you should care about before and during migration to a Cloud environment and explains why you should do that.
Introduction
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
Optimize load handling for high-volume tests with IBM Rational Performance Te...Bill Duncan
Summary: When using IBM® Rational® Performance Tester for testing diversified protocols and large volume load simulations, it is essential to optimize the performance of your testing machines and tools, as well as your network and infrastructure. In this article, you will discover best practices that you can adopt to enhance the load generation capability of Rational Performance Tester per machine by configuring both the testing tool and the operating system. You will also learn about techniques that you can use to alleviate trivial errors that occur during large volume load simulations.
Your customers have gone agile, your development teams have gone agile and it's now time for your testing strategy to go agile!
Check this Cygnet Infotech Webinar in association with TestingWhiz for an informative session to breathe a new change to your testing processes while we covered interesting facts and provided access to info regarding:
- Understanding ‘Cloud Testing’ vs. ‘Testing in the Cloud’
- How SAAS, PAAS and IAAS impact testing
- Things to consider before moving to Cloud
- TestingWhiz in the Cloud Setup
Cygnet delivers Agile Testing Services to ensure seamless, prompt and reliable testing services for reducing application delivery lifecycle. We've developed a comprehensive solution of testing services for Web, Mobile & Alternate Channels, Automated Functional Testing, and Performance & Load Testing and Application Security Testing. Cygnet Infotech has more than 13+ years of experience in delivering enterprise IT Solutions with strong focus on customers spread across ISV, Consulting, Technology, Telecom, Healthcare, Banking and Financial verticals.
This Webinar is Sponsored by TestingWhiz™
TestingWhiz™ is an Easy, Intuitive and Affordable Test Automation Solution based on a robust FAST® Automation Engine that uses effortless and intelligent recording techniques like Keyword-Driven Testing, Data Driven Testing, Excel Inputs, Object Recorder and Java Scripting to design and execute test cases across browsers.
Visit www.testing-whiz.com
Load Testing Best Practices: Application complexity is increasing, yet the stringent requirements for web performance is increasing exponentially. Learn more about the three major types of load testing, determine which you need and how to conduct them.
Greg Maxey - Electric Cloud - Process as Code: An Introduction to the Electri...DevOps Enterprise Summit
DevOps at scale requires predictability and consistency. A key enabler for many is “programmable infrastructure,” also known as “infrastructure as code,” which helps provide configuration fidelity across environments. But versioning and testing configurations alone can’t guarantee deployment success – you also need to make sure the workflows and processes used are as repeatable, testable and revertable as your application source code.
ElectricFlow provides a powerful Groovy-based domain specific language that provides DevOps teams a programmatic way to define and manipulate complex automation, pipelines and workflows along with any other object defined in the ElectricFlow platform.
During this talk, we’ll introduce you to the Groovy DSL, and demonstrate how “process as code” can provide teams a familiar and powerful way to accelerate application onboarding, and scale up their application and pipeline modeling and testing efforts. We will also show a prototype DSL Editor / IDE that makes it easy to get started within the ElectricFlow UI.
Sam Fell - Electric Cloud - Automating Continuous Delivery with ElectricFlowDevOps Enterprise Summit
Continuous Delivery takes Agile to its logical conclusion with a way of working that ensures software is always ready to release. It does this by building upon and extending Agile, CI and DevOps practices and tools to transform the way software is delivered.
Organizations that want to adopt Continuous Delivery need frequent check-ins to be verified by automated builds and tests so teams can reduce risk, deploy more often, and detect problems early.
This talk will focus on the ElectricFlow DevOps automation platform, and the functionality it exposes to:
- Enable Devs to automate complex build and test processes to drive efficient predictability at scale
- Give Ops teams a way to eliminate manual and error-prone processes to safely deploy any applications anywhere, anytime.
- Any teams to securely plug-in the clouds and tools they care about to abstract out complexity and ensure process compliance
Sam Fell - Electric Cloud - Faster Continuous Integration with ElectricAccele...DevOps Enterprise Summit
Software differentiates you from your competitors, and the speed by which you deliver new capability determines if you win or lose in today’s competitive market. If your development and test teams are currently measuring software build and test times in terms of hours or (gulp) days rather than in minutes, then you're at risk of falling behind the competition. Don’t waste time waiting for software builds, static analysis, or automated unit testing to complete.
In this session you will learn how ElectricAccelerator, Electric Cloud’s build and test acceleration platform can:
• Speed up Continuous Integration efforts by 20x-40x
• Better utilize your build and test infrastructure
• Improve developer and tester productivity
Performance issues are regularly caught too late leading to increased cost for fixing. We propose a process on how to make performance testing lightweight, execute it on early stages, reduce time and cost of fixes. Applying the same principal that we use for functional testing, performance testing could be integrated in CI/CD pipeline. Learn more about CPT in our blog: https://blog.griddynamics.com/what-is-continuous-performance-testing-and-why-it-is-needed
For Impetus’ White Papers archive, visit- http://www.impetus.com/whitepaper
In this white paper, Impetus focuses on how the power of the Cloud can be harnessed to address the software product testing challenges faced by organizations.
What is Cloud Testing Everything you need to know.pdfpcloudy2
No product owner would want to leave any bug unresolved in the live web app. This can happen when there is a lack of coordination and poor communication between the Development and testing teams. This can result in a blunder for the organization. To solve this problem, the organization should look for a locally hosted web app that supports integration with commonly favored CI/CD tools and helps to build a strong delivery pipeline. Relying on trusted third-party cloud based testing tools simplifies tracking bugs, prioritizing tests and managing projects, ensuring bug-free apps.
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
Optimize load handling for high-volume tests with IBM Rational Performance Te...Bill Duncan
Summary: When using IBM® Rational® Performance Tester for testing diversified protocols and large volume load simulations, it is essential to optimize the performance of your testing machines and tools, as well as your network and infrastructure. In this article, you will discover best practices that you can adopt to enhance the load generation capability of Rational Performance Tester per machine by configuring both the testing tool and the operating system. You will also learn about techniques that you can use to alleviate trivial errors that occur during large volume load simulations.
Your customers have gone agile, your development teams have gone agile and it's now time for your testing strategy to go agile!
Check this Cygnet Infotech Webinar in association with TestingWhiz for an informative session to breathe a new change to your testing processes while we covered interesting facts and provided access to info regarding:
- Understanding ‘Cloud Testing’ vs. ‘Testing in the Cloud’
- How SAAS, PAAS and IAAS impact testing
- Things to consider before moving to Cloud
- TestingWhiz in the Cloud Setup
Cygnet delivers Agile Testing Services to ensure seamless, prompt and reliable testing services for reducing application delivery lifecycle. We've developed a comprehensive solution of testing services for Web, Mobile & Alternate Channels, Automated Functional Testing, and Performance & Load Testing and Application Security Testing. Cygnet Infotech has more than 13+ years of experience in delivering enterprise IT Solutions with strong focus on customers spread across ISV, Consulting, Technology, Telecom, Healthcare, Banking and Financial verticals.
This Webinar is Sponsored by TestingWhiz™
TestingWhiz™ is an Easy, Intuitive and Affordable Test Automation Solution based on a robust FAST® Automation Engine that uses effortless and intelligent recording techniques like Keyword-Driven Testing, Data Driven Testing, Excel Inputs, Object Recorder and Java Scripting to design and execute test cases across browsers.
Visit www.testing-whiz.com
Load Testing Best Practices: Application complexity is increasing, yet the stringent requirements for web performance is increasing exponentially. Learn more about the three major types of load testing, determine which you need and how to conduct them.
Greg Maxey - Electric Cloud - Process as Code: An Introduction to the Electri...DevOps Enterprise Summit
DevOps at scale requires predictability and consistency. A key enabler for many is “programmable infrastructure,” also known as “infrastructure as code,” which helps provide configuration fidelity across environments. But versioning and testing configurations alone can’t guarantee deployment success – you also need to make sure the workflows and processes used are as repeatable, testable and revertable as your application source code.
ElectricFlow provides a powerful Groovy-based domain specific language that provides DevOps teams a programmatic way to define and manipulate complex automation, pipelines and workflows along with any other object defined in the ElectricFlow platform.
During this talk, we’ll introduce you to the Groovy DSL, and demonstrate how “process as code” can provide teams a familiar and powerful way to accelerate application onboarding, and scale up their application and pipeline modeling and testing efforts. We will also show a prototype DSL Editor / IDE that makes it easy to get started within the ElectricFlow UI.
Sam Fell - Electric Cloud - Automating Continuous Delivery with ElectricFlowDevOps Enterprise Summit
Continuous Delivery takes Agile to its logical conclusion with a way of working that ensures software is always ready to release. It does this by building upon and extending Agile, CI and DevOps practices and tools to transform the way software is delivered.
Organizations that want to adopt Continuous Delivery need frequent check-ins to be verified by automated builds and tests so teams can reduce risk, deploy more often, and detect problems early.
This talk will focus on the ElectricFlow DevOps automation platform, and the functionality it exposes to:
- Enable Devs to automate complex build and test processes to drive efficient predictability at scale
- Give Ops teams a way to eliminate manual and error-prone processes to safely deploy any applications anywhere, anytime.
- Any teams to securely plug-in the clouds and tools they care about to abstract out complexity and ensure process compliance
Sam Fell - Electric Cloud - Faster Continuous Integration with ElectricAccele...DevOps Enterprise Summit
Software differentiates you from your competitors, and the speed by which you deliver new capability determines if you win or lose in today’s competitive market. If your development and test teams are currently measuring software build and test times in terms of hours or (gulp) days rather than in minutes, then you're at risk of falling behind the competition. Don’t waste time waiting for software builds, static analysis, or automated unit testing to complete.
In this session you will learn how ElectricAccelerator, Electric Cloud’s build and test acceleration platform can:
• Speed up Continuous Integration efforts by 20x-40x
• Better utilize your build and test infrastructure
• Improve developer and tester productivity
Performance issues are regularly caught too late leading to increased cost for fixing. We propose a process on how to make performance testing lightweight, execute it on early stages, reduce time and cost of fixes. Applying the same principal that we use for functional testing, performance testing could be integrated in CI/CD pipeline. Learn more about CPT in our blog: https://blog.griddynamics.com/what-is-continuous-performance-testing-and-why-it-is-needed
For Impetus’ White Papers archive, visit- http://www.impetus.com/whitepaper
In this white paper, Impetus focuses on how the power of the Cloud can be harnessed to address the software product testing challenges faced by organizations.
What is Cloud Testing Everything you need to know.pdfpcloudy2
No product owner would want to leave any bug unresolved in the live web app. This can happen when there is a lack of coordination and poor communication between the Development and testing teams. This can result in a blunder for the organization. To solve this problem, the organization should look for a locally hosted web app that supports integration with commonly favored CI/CD tools and helps to build a strong delivery pipeline. Relying on trusted third-party cloud based testing tools simplifies tracking bugs, prioritizing tests and managing projects, ensuring bug-free apps.
How Real Device Cloud Testing Ensures Exceptional Efficiency and Scalability ...kalichargn70th171
Real device cloud testing involves meticulously scrutinizing websites and
apps on a diverse array of real desktop and mobile devices, all seamlessly
hosted on cloud-based servers. This innovative approach grants Quality
Assurance (QA) teams unfettered access to thousands of devices, facilitating
manual and automated testing in real-time.
How Real Device Cloud Testing Ensures Exceptional Efficiency and Scalability ...kalichargn70th171
Real device cloud testing involves meticulously scrutinizing websites and apps on a diverse array of real desktop and mobile devices, all seamlessly hosted on cloud-based servers. This innovative approach grants Quality Assurance (QA) teams unfettered access to thousands of devices, facilitating manual and automated testing in real-time.
This is a paper which will outline the benefits of moving the cloud from traditional in house to cloud,type of testing ,approach Test team/companies need to performed if they are adopting cloud solution .
This solution is generic in nature and it applies for all business who want to use Cloud Offering from different vendors like Microsoft, Amazon, Google, IBM, Salesforce
Gomez Blazing Fast Cloud Best Practices Compuware APM
Are you planning to deploy Web applications in the cloud? Will their performance be acceptable? What will you do to make sure?
There are a lot of good reasons to deploy applications in a cloud environment — but they are all forgotten if your application is slow or has poor availability. Poor performance results in unhappy, lost customers. Traditional data center techniques for monitoring, measuring, and optimizing Web application performance won’t work in the cloud. There are a new set of best practices that you need to learn to optimize the performance of your cloud-based Web applications.
Cloud testing with synthetic workload generatorsMalathi Malla
As the complexity of interaction between software serving different purposes is evolving with cloud computing and virtualization, so is the need for validation solutions and supporting methodologies. Conventional test tools were not designed to test “hypervisors”—the cornerstone of virtualization.
Applying a Comprehensive, Automated Assurance Framework to Validate Cloud Rea...Cognizant
Avoiding costly problems throughout the cloud migration process requires QA safeguarding of applications, servers and databases; this is best accomplished with a comprehensive, automated approach such as the one presented here.
SERVICE LEVEL AGREEMENT BASED FAULT TOLERANT WORKLOAD SCHEDULING IN CLOUD COM...ijgca
Cloud computing is a concept of providing user and application oriented services in a virtual environment.Users can use the various cloud services as per their requirements dynamically. Different users have
different requirements in terms of application reliability, performance and fault tolerance. Static and rigid
fault tolerance policies provide a consistent degree of fault tolerance as well as overhead. In this research
work we have proposed a method to implement dynamic fault tolerance considering customerrequirements. The cloud users have been classified in to sub classes as per the fault olerance requirements.Their jobs have also been classified into compute intensive and data intensive categories. The varying
degree of fault tolerance has been applied consisting of replication and input buffer. From the simulation
based experiments we have found that the proposed dynamic method performs better than the existing methods.
SERVICE LEVEL AGREEMENT BASED FAULT TOLERANT WORKLOAD SCHEDULING IN CLOUD COM...ijgca
Cloud computing is a concept of providing user and application oriented services in a virtual environment.
Users can use the various cloud services as per their requirements dynamically. Different users have
different requirements in terms of application reliability, performance and fault tolerance. Static and rigid
fault tolerance policies provide a consistent degree of fault tolerance as well as overhead. In this research
work we have proposed a method to implement dynamic fault tolerance considering customer
requirements. The cloud users have been classified in to sub classes as per the fault tolerance requirements.
Their jobs have also been classified into compute intensive and data intensive categories. The varying
degree of fault tolerance has been applied consisting of replication and input buffer. From the simulation
based experiments we have found that the proposed dynamic method performs better than the existing
methods.
SERVICE LEVEL AGREEMENT BASED FAULT TOLERANT WORKLOAD SCHEDULING IN CLOUD COM...ijgca
Cloud computing is a concept of providing user and application oriented services in a virtual environment.
Users can use the various cloud services as per their requirements dynamically. Different users have
different requirements in terms of application reliability, performance and fault tolerance. Static and rigid
fault tolerance policies provide a consistent degree of fault tolerance as well as overhead. In this research
work we have proposed a method to implement dynamic fault tolerance considering customer
requirements. The cloud users have been classified in to sub classes as per the fault tolerance requirements.
Their jobs have also been classified into compute intensive and data intensive categories. The varying
degree of fault tolerance has been applied consisting of replication and input buffer. From the simulation
based experiments we have found that the proposed dynamic method performs better than the existing
methods.
A survey-report-on-cloud-computing-testing-environmentshritosh kumar
Cloud computing not only changes the way of obtaining computing resources (such as computers, infrastructures, data storage, and application services), but also changes the way of managing and delivering computing services, technologies, and solutions. Cloud computing leads an opportunity in offering testing as a service (TaaS) for SaaS and clouds. Meanwhile, it causes new issues, challenges and needs in software testing, particular in testing clouds and cloud-based applications. This paper provides a comprehensive tutorial on cloud testing and cloud-based application testing. It answers the common questions raised by engineers and managers, and it provides clear concepts, discusses the special objectives, features, requirements, and needs in cloud testing. It offers a clear comparative view between web-based software testing and cloud-based application testing. In addition, it examines the major issues, challenges, and needs in testing cloud-based software applications. Furthermore, it also summarizes and compares different commercial products and solutions supporting cloud testing as services.
A Comprehensive Guide to Leveraging Device Farms for Maximum Testing Efficien...kalichargn70th171
In today's digital era, universal compatibility is crucial for web apps and applications. With many devices, browsers, and operating systems in play globally, ensuring seamless functionality becomes a complex challenge. While emulators and simulators offer partial solutions, real-world testing on diverse devices is irreplaceable.
Future-Proof Your Streaming Analytics Architecture- StreamAnalytix WebinarImpetus Technologies
Future-Proof Your Streaming Analytics Architecture- StreamAnalytix Webinar
View the webcast on http://bit.ly/1HFD8YR
The speakers from Forrester and Impetus talk about the options and optimal architecture to incorporate real-time insights into your apps that provisions benefitting from future innovation also.
Impetus White Paper- Handling Data Corruption in ElasticsearchImpetus Technologies
This white paper focuses on handling data corruption in Elasticsearch. It describes how to recover data from corrupted indices of Elasticsearch and re-index that data in a new index. The paper also guides you about Lucene’s index terminology
Deep Learning: Evolution of ML from Statistical to Brain-like Computing- Data...Impetus Technologies
Presentation on 'Deep Learning: Evolution of ML from Statistical to Brain-like Computing'
Speaker- Dr. Vijay Srinivas Agneeswaran,Director, Big Data Labs, Impetus
The main objective of the presentation is to give an overview of our cutting edge work on realizing distributed deep learning networks over GraphLab. The objectives can be summarized as below:
- First-hand experience and insights into implementation of distributed deep learning networks.
- Thorough view of GraphLab (including descriptions of code) and the extensions required to implement these networks.
- Details of how the extensions were realized/implemented in GraphLab source – they have been submitted to the community for evaluation.
- Arrhythmia detection use case as an application of the large scale distributed deep learning network.
SPARK USE CASE- Distributed Reinforcement Learning for Electricity Market Bi...Impetus Technologies
SPARK SUMMIT SESSION -
A majority of the electricity in the U.S. is traded in independent system operator (ISO) based wholesale markets. ISO-based markets typically function in a two-step settlement process with day-ahead (DA) financial settlements followed by physical real-time (spot) market settlements for electricity. In this work, we focus on obtaining equilibrium bidding strategies for electricity generators in DA markets. Electricity prices in DA markets are determined by the ISO, which matches competing supply offers from power generators with demand bids from load serving entities. Since there are multiple generators competing with one another to supply power, this can be modeled as a competitive Markov decision problem, which we solve using a reinforcement learning approach. For power networks of realistic sizes, the state-action space could explode, making the RL procedure computationally intensive. This has motivated us to solve the above problem over Spark. The talk provides the following takeaways:
1. Modeling the day-ahead market as a Markov decision process
2. Code sketches to show the markov decision process solution over Spark and Mahout over Apache Tez
3. Performance results comparing Mahout over Apache Tez and Spark.
Real-time Streaming Analytics: Business Value, Use Cases and Architectural Co...Impetus Technologies
Impetus webcast ‘Real-time Streaming Analytics: Business Value, Use Cases and Architectural Considerations’ available at http://bit.ly/1i6OrwR
The webinar talks about-
• How business value is preserved and enhanced using Real-time Streaming Analytics with numerous use-cases in different industry verticals
• Technical considerations for IT leaders and implementation teams looking to integrate Real-time Streaming Analytics into enterprise architecture roadmap
• Recommendations for making Real-time Streaming Analytics – real – in your enterprise
• Impetus StreamAnalytix – an enterprise ready platform for Real-time Streaming Analytics
Leveraging NoSQL Database Technology to Implement Real-time Data Architecture...Impetus Technologies
Impetus webcast "Leveraging NoSQL Database Technology to Implement Real-time Data Architectures” available at http://bit.ly/1g6Eaj4
This webcast:
• Presents trade-offs of using different approaches to achieve a real-time architecture
• Closely examines an implementation of a NoSQL based real-time architecture
• Shares specific capabilities offered by NoSQL Databases that enable cost and reliability advantages over other techniques
Maturity of Mobile Test Automation: Approaches and Future Trends- Impetus Web...Impetus Technologies
Impetus webcast " Maturity of Mobile Test Automation: Approaches and Future Trends " available at http://lf1.me/Pxb/
This Impetus webcast talks about:
• Mobile test automation challenges
• Evolution of test automation challenges from Unit tests to image based and object comparison methods
• What next?
• Impetus solution approach for comprehensive mobile testing automation
The Shared Elephant - Hadoop as a Shared Service for Multiple Departments – I...Impetus Technologies
For Impetus’ White Papers archive, visit- http://lf1.me/drb/
This white paper talks about the design considerations for enterprises to run Hadoop as a shared service for multiple departments.
As Hadoop becomes more mainstream and indispensable to enterprises, it is imperative that they build, operate and scale shared Hadoop clusters. The design considerations discussed in this paper will help enterprises accomplish the essential mission of running multi-tenant, multi-use Hadoop clusters at scale.
The white paper talks about Identity, Security, Resource Sharing, Monitoring and Operations on the Central Service.
For Impetus’ White Papers archive, visit- http://lf1.me/drb/
Performance Testing of Big Data Applications - Impetus WebcastImpetus Technologies
Impetus webcast "Performance Testing of Big Data Applications" available at http://lf1.me/cqb/
This Impetus webcast talks about:
• A solution approach to measure performance and throughput of Big Data applications
• Insights into areas to focus for increasing the effectiveness of Big Data performance testing
• Tools available to address Big Data specific performance related challenges
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
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Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
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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/
Cloud-enabled Performance Testing vis-à-vis On-premise- Impetus White Paper
1. Cloud-Enabled vis-à-vis On-Premise
Performance Testing: A face-off
W H I T E P A P E R
Abstract
In this white paper we talk about how you can integrate on-
premise and cloud-based options to build an effective
performance testing strategy.
We will also discuss the available cloud-based performance
testing solutions and whether they can effectively fill the gap
areas created by the on-premise approach.
Finally, we share our recommended strategy which incorporates
both on-premise and the cloud approach and presents a robust
performance testing plan.
Impetus Technologies, Inc.
www.impetus.com
2. Cloud-enabled vis-à-vis on-premise Performance Testing: A face-off
2
Table of Contents
Introduction...........................................................................................................3
Limitations of the on-premise approach ...............................................................3
Benefits of cloud-based load testing .....................................................................4
Challenges facing the cloud-based approach........................................................5
Data security................................................................................5
Testing intranet applications .......................................................5
Repeatability and consistency .....................................................5
Debugging and bottleneck identification ....................................5
Cloud-enabled solutions........................................................................................6
Using on-premise tools in the cloud............................................6
Provisioning the tool from the cloud...........................................7
The Hybrid approach ...................................................................8
Impetus’ recommendations...................................................................................8
Conclusion............................................................................................................11
3. Cloud-enabled vis-à-vis on-premise Performance Testing: A face-off
3
Introduction
Performance engineers worldwide are harnessing the infinite computing power
of the cloud to test the performance of their web, mobile and cloud
applications.
The immense popularity of cloud-enabled performance testing is based on the
fact that it helps to overcome the limitations of a test strategy that relies
entirely on on-premise performance testing.
However, before moving to cloud-based performance testing, it is important to
examine the on-premise model, so called, because all its components—
including the tool, recorder, controller, system under test, etc., are deployed
within the local environment.
Limitations of the On-Premise Approach
Administrators need to be hired to maintain and support the environment.
Since setting up this environment is a costly affair, there is a possibility that you
may be requested to share this set up with other teams or for other activities,
such as for a staging environment or for User Acceptance Testing.
Also, it is very difficult to scale the test environment to simulate sporadic peak
loads because it involves procuring additional servers, licenses etc. This might
result in extra expenditure. However, this is mostly about the infrastructure
considerations.
The other significant aspect that we have to consider is that the on-premise
model does not measure up to the realistic simulation of user behavior. Since
your application will get hits from all corners of the globe, it is important that its
performance is measured from multiple geographies.
Also, while conducting the tests from within the local environment, we ignore
aspects such as network latency, firewall behavior, DNS servers and other
important components in the end-to-end delivery chain. By doing this, we might
not be testing the actual user experience.
These are some of the limitations of the traditional on-premise approach. cloud-
enabled performance testing can address these gap areas.
At Impetus, we believe that performance testing with the cloud enables testing
teams to take a big step forward in conducting more efficient and realistic, large
The first and the very basic
step of on-premise
performance testing are
setting up a test environment.
This involves putting together
a suitable infrastructure,
procuring servers, and
software in order to host the
load generation hardware and
system under test. Setting up
this kind of an environment
requires considerable
investment and effort and has
overheads such as license and
maintenance Cost.
4. Cloud-enabled vis-à-vis on-premise Performance Testing: A face-off
4
scale tests. Moreover, cloud technology enables organizations to realize
significant savings in cost and time.
Benefits of Cloud-Based Load Testing
The cloud can help set up the test environment and have it running in minutes.
You just do not have to worry about the licensing costs of the software,
Operating System, tools, etc.
Furthermore, it eliminates the need to spend on the purchase and maintenance
of the hardware and load testing tool that you would otherwise have to buy in
the on-premise model.
Using the pay-as-you-go approach, you can rapidly set up the testing
infrastructure that you need, when you need it, and only for as long as you need
it. From a business standpoint, the cloud lowers the Total Cost of Ownership
(TCO), while increasing flexibility.
Often, the web application experiences sporadic surges in traffic. Generating the
load for large scale tests to mimic these unanticipated spikes in the production
traffic, may require tens or even hundreds of machines.
While purchasing and configuring these systems requires a significant
investment in time and money, with the cloud, you can rapidly set up as many
load generating machines as you need, on-demand using automated
provisioning of required hardware. Automated provisioning ensures that the
load generators are consistent and optimized to create the desired load.
Another advantage that the cloud offers is the realistic simulation of test
scenarios. With the cloud, you can execute load tests that access your web
application as your users will—from the outside of your firewall—and validate
all the infrastructure components, including the firewall, DNS, network
equipment, and ISPs.
These tests are significantly accurate and enable you to evaluate the real-world
effects of third-party components, such as content delivery networks, analytics
servers, and ad servers. And since your users will not access your application
from one particular geographical location, a realistic load test will require
simulation from different geographies. This can be achieved via the cloud.
Cloud-based solutions can also be accessed via browsers from multiple devices,
such as your PCs, Smartphones, Tablets, etc., and therefore, you can choose to
run and analyze performance tests from anywhere, anytime.
5. Cloud-enabled vis-à-vis on-premise Performance Testing: A face-off
5
While cloud-based solutions offer several benefits for performance testing, the
cloud does have its own set of limitations. Let’s see what they are.
Challenges Facing the Cloud-Based Approach
Data security
We will start with data security, which is a major concern for any performance
testing activity happening via the cloud. This is a critical challenge as the test
scripts, test data, and test results are moved to the cloud. There is a need to
figure out ways by which sensitive data is not accessed via any unauthorized
source.
Testing intranet applications
Another problem area is testing intranet applications on the cloud. Performance
testing service providers actually need to work with the client’s IT department in
order to receive permission to access the application from the cloud. This
involves exposing the intranet servers to the external world and requires
relevant security mechanisms in place, to avoid any unauthorized access.
Repeatability and consistency
The other challenges are repeatability and consistency of the test results. Often
in performance testing, you need to precisely measure the effect of changes
made to the application code or configurations. For example, you may need to
determine any improvement that results from resolving a specific defect, or
evaluate performance for a range of cache sizes and other related settings.
With cloud load testing, such precise measurements are difficult because of the
variations in Internet traffic and bandwidth availability. Such variations can
make it almost impossible to duplicate uniform test conditions.
On the other hand, on-premise testing can achieve consistent and repeatable
results by isolating effects that are due to the application or infrastructure.
Debugging and bottleneck identification
Debugging and bottleneck identification is another major challenge when the
tests are conducted from the cloud. When load testing uncovers a problem, the
next step is identifying which layer in the application chain is causing the
problem. You can use monitors to check the performance metrics such as hits,
average response time per request, and average bandwidth for each layer in the
chain.
6. Cloud-enabled vis-à-vis on-premise Performance Testing: A face-off
6
You can also employ application performance management (APM) solutions to
identify bottlenecks in the code. These techniques work reasonably well when
the environment is controlled and free from external factors.
Let us now move on to the next problem area—Test Assets Management.
Since the cloud instances may not be available all the time, it is important to
have a pertinent test data management strategy in place, as well. A proper back
up mechanism for test scripts, test data and test results has to be created, so
that they are available for reference, at a later stage.
After going through the benefits and challenges of using the cloud for
performance testing activities, let us look at the solutions available in the
market today that can help in optimally leveraging the cloud.
Cloud-Enabled Solutions
These solutions can be classified into three major categories.
The first and simplest solution is to move the current on-premise tool to the
cloud, as it is. A few companies also offer automated Ccoud provisioning portals
for load generation, as well as executing and controlling tests.
The first two categories have a few limitations and hence a third category called
the ‘Hybrid approach’ is in place. This involves using on-premise tools to
generate on-demand load, using the cloud. It supports high concurrency testing
while still providing the benefits of a controlled environment and security.
Impetus recommends a two-phase approach, which we believe brings the best
of on-premise and cloud options and can help you to build a successful
performance testing strategy.
Let us examine each of these strategies in detail:
Using on-premise tools in the cloud
As we know, there are some standard components of
performance testing tools such as controllers, load generators,
recorders and analyzers.
The variation in the deployment models depends on where all
these components are placed when we conduct the tests. You
need to choose the appropriate deployment model based on your
needs.
In the case of the first model, all components of the tool are
moved to the cloud. This is the simplest way to leverage the cloud
This model is suitable to test cloud-
based applications or Internet
applications, since these get hits
from all parts of the world. The
scenarios can be designed in a
manner that simulates a realistic
load across multiple geographies.
7. Cloud-enabled vis-à-vis on-premise Performance Testing: A face-off
7
for performance testing and is used by tools like JMeter, Grinder and Load
Runner.
This solution helps in generating a realistic simulation, unlike the on-premise
model. You also have the option of instantiating as many load generators as you
require, quickly and on-demand. Since there is no hardware procurement
involved, you are unlike to incur massive expenditure on setting up the
infrastructure.
Another benefit of this approach is that there is no learning curve involved. The
teams are already familiar with the tool and can start testing quickly. Also, there
are no license costs involved. The process becomes simplified and you are only
charged for the period you use the cloud infrastructure.
However, there are several
limitations in this model. It
requires manual configuration of
instances and knowledge about
cloud APIs. The instances can only
be accessed via RDP, Putty or SSH,
which involve physical connection
to the machines. Also, the test
data resides in the cloud and after
the instance is terminated can be
lost. The user has therefore to
come up with an appropriate data
archival strategy before
terminating the instances.
Provisioning the tool from the
cloud
Let’s now talk about another popular approach, which is provisioning the tool
from the cloud. This involves using the tool provisioned on the cloud for load
generation, execution and test management. All the components of a load
testing tool are deployed on the cloud and the user can access the solution from
the browser. This provides an easy interface that can be accessed from
anywhere, at anytime.
Though this approach is very popular, it has a few limitations that you need to
know about. Since the tool is accessed via the Internet, data security is one of
the major concerns. All the test artifacts and results are stored on the cloud,
thereby, presenting a challenge to data confidentiality. Also, since the tests are
run over the Internet, appropriate firewall access needs to be provided for the
intranet applications.
Impetus SandStorm enables you to
provision the tool from the cloud.
One of the major benefits of this
approach is on-demand load
generation, which means the user
can scale its load tests at any given
time. Pre-created instances help in
quick scaling of the load tests. This
process is suitable for mobile and
cloud-based applications that have
a large user base, and scales
quickly.
8. Cloud-enabled vis-à-vis on-premise Performance Testing: A face-off
8
Due to varying network conditions, the tests might not be repeatable.
It is also difficult to identify performance bottlenecks in such cases, as the
number of variables is relatively high. This approach is well suited
for measuring the end user experience and exercising the entire
delivery chain including firewalls, ISP, CDN, routers etc. in a
typical application deployment.
Now, let us talk about the Hybrid approach that tries to address
the limitations of the earlier two approaches.
The Hybrid approach
In this case, the components of the performance testing tool are
deployed either on the cloud or on-premise. There are many
combinations possible here, but let us take up the most likely
scenario to understand this better.
This is because regular testing can be done on premise not only to
get the performance numbers, but also to determine the bottlenecks in the
application. In case there is need to test an application with peak volumes, high
concurrencies and more transactions, the Hybrid model can be used.
Impetus’ SandStorm and a few other tools offer this option. The controller is
deployed on-premise in this model and enables you to use the integrated
resource monitoring and diagnostic features of the tool. This also helps address
any security concerns over the crucial data as the controller remains in-house.
Since the data is available locally, it can be archived and referred to at any
suitable time.
This model too suffers from a couple of limitations related to remote access and
parallel test executions. Since, the controller is installed within the local
network; the tests can only be executed via physical access to these machines.
Impetus’ Recommendations
We will now talk about some of the work we have done and the best practices
we have deployed successfully across multiple customer engagements. These
We have the load generators on
the cloud and all the other
components, such as, the
controller, recorder and analyzer
on-premise. This model is more
suitable for organizations which
have already invested in
performance test labs and have a
hardware set up. These
organizations can use the Hybrid
model when they need to scale
quickly.
9. Cloud-enabled vis-à-vis on-premise Performance Testing: A face-off
9
best practices can help you maximize the advantages, and minimize the
challenges of load testing with the cloud.
As we discussed earlier, while the on-premise approach has numerous
limitations, it cannot be replaced completely by the cloud. And while cloud
offers scalability along with cost-effectiveness, it also has some pertinent
challenges associated with it. Therefore, let us examine the fourth approach
that integrates the cloud and on-premise solutions for a successful and effective
performance testing strategy.
The on-premise model is suitable for initial performance tests and debugging
and forms the first stage of our process. You can use the local environment to
create test scripts, prepare test data, and validate the test scripts for runtime
data changes. Then, can you conduct internal tests with a medium load to
quickly identify and resolve preliminary issues.
The source of any issue identified in the first stage is clearly within the firewall
(because no other external systems are involved in the test, as of now).
Therefore, it is easier to pinpoint and fix internal problems when they are not
being compounded by other issues that will originate outside the firewall.
With this two-stage process, you do not have to wait for the application to be
deployed and accessible from the Internet to test it. You can test the application
internally, and earlier in the application lifecycle, when the defects are easier
and less expensive to fix. With internal testing, you have much more control
over the environment, so you can precisely measure the effect that a code or a
configuration change might have on the application performance.
The tests are repeatable, and therefore, the tuning/optimization changes can be
quickly validated. This approach also helps in creating scripts locally, and retains
them for scaling at a later stage, using the cloud. After the performance has
been validated internally, you can proceed to the second stage, which is cloud-
based load testing.
The cloud can be used to test large scale, a peak load that validates the entire
delivery chain of the application. You can compare the results of the same test
scenario run internally and from the cloud, to get a better handle on how the
application server and network infrastructure contribute to the overall response
times.
cloud testing is based on pay-per-use model, and since you have already tested
the application internally on your existing hardware setup, you have an option
to reduce the amount of cloud testing and save on costs. You can also detect
potential network issues at the cloud provider level. And having gone through
this model, we will talk about the best practices associated with using cloud-
based performance testing solutions.
10. Cloud-enabled vis-à-vis on-premise Performance Testing: A face-off
10
As discussed, one of the primary concerns of users is data security. We
recommend encrypting the communication between your controller and load
generators. This will help secure the data sent to the load generators during the
test (including account information), as well as the data that is retrieved
(including error messages). If possible, use SSL to secure the communication
between the browser and the test server. Finally, ensure that your load
generators are secured with their own firewalls to protect them from outside
threats.
To ensure that your load generator machines in the cloud are capable of
generating larger loads, we would recommend tuning the system to support the
creation of a high number of sockets and threads per process. Additionally,
allocating an appropriate heap size for Java-based load generators will help in
such scenarios. The default settings for a typical machine allow all programs to
share resources fairly. In the case of load generators, the machine is dedicated
to a single task, so you can improve the performance by allocating a significantly
larger share of the available resources to the load generation tasks.
Automated provisioning can also save time and efforts to scale the test
environment to support high concurrency and transaction volumes. It also
makes sure that the load generators are consistent and optimally tuned as they
are generated from a single image.
We recommend using an integrated solution for on-premise and cloud. If the
solutions are interoperable, it reduces the learning curve for the team. The test
scripts, scenarios can be re-used internally as well as on the cloud.
Having covered the four available cloud-based performance testing solutions,
we would like to point out that Impetus’ two-phased approach appears to meet
all the criteria of a robust performance testing strategy.
Almost all other approaches, other than cloud provisioning, need tool
familiarity. Even the cloud provisioning option does not allow reuse of the
scripts created locally for large scale testing from the cloud.
A major advantage that the cloud provisioning and Impetus approaches offer is
the ability to run multiple tests in parallel. This is very critical for large
organizations where multiple parallel releases are happening for different
applications. Another advantage is that they both provide browser-based
testing to simulate the end user experience. This is very important, owing to the
rapid changes taking place in client side technologies like HTML5, FLEX, etc.
Each of these four solutions that we have spoken about have their own merits
and demerits. The selection of specific tools depends on factors such as cost-
effectiveness, type of application, performance objectives, etc.