Join Sauce Labs’ Automation Specialist and Selenium project contributor, Leo Laskin, as he discusses the value of open source in testing. He will also share his personal experience in moving from manual to automated testing, the lessons he has learned, and the steps he took to build a powerful, international test coding army.
View the recording at https://saucelabs.com/resources/webinars/automation-best-practices
Developers have embraced Continuous Integration for years and it has proven their value for accelerating software production for Web environments. However, for mobile developers, it’s been a slow road to adopting many of these same practices. In this webinar, Kevin Rohling (Emberlight, Ship.io) and Kristian Meier (Sauce Labs) will cover best practices in implementing a mobile CI system and demonstrate how you can easily build, test and deploy mobile apps.
Awesome Test Automation Made Simple w/ Dave HaeffnerSauce Labs
Learn how to build simple and powerful automated tests that will work on the browsers you care about, cover visual testing and functional regressions, and be configured to run automatically through the use of a continuous integration (CI) server.
Moving From a Selenium Grid to the Cloud - A Real Life StorySauce Labs
Come hear how Anshul Sharma, Senior QA Engineer at Emmi Solutions, made the move from testing on an in-house Selenium Grid to the Cloud while expanding test coverage and making great strides in moving to a full continuous integration workflow.
Join Sauce Labs’ Automation Specialist and Selenium project contributor, Leo Laskin, as he discusses the value of open source in testing. He will also share his personal experience in moving from manual to automated testing, the lessons he has learned, and the steps he took to build a powerful, international test coding army.
View the recording at https://saucelabs.com/resources/webinars/automation-best-practices
Developers have embraced Continuous Integration for years and it has proven their value for accelerating software production for Web environments. However, for mobile developers, it’s been a slow road to adopting many of these same practices. In this webinar, Kevin Rohling (Emberlight, Ship.io) and Kristian Meier (Sauce Labs) will cover best practices in implementing a mobile CI system and demonstrate how you can easily build, test and deploy mobile apps.
Awesome Test Automation Made Simple w/ Dave HaeffnerSauce Labs
Learn how to build simple and powerful automated tests that will work on the browsers you care about, cover visual testing and functional regressions, and be configured to run automatically through the use of a continuous integration (CI) server.
Moving From a Selenium Grid to the Cloud - A Real Life StorySauce Labs
Come hear how Anshul Sharma, Senior QA Engineer at Emmi Solutions, made the move from testing on an in-house Selenium Grid to the Cloud while expanding test coverage and making great strides in moving to a full continuous integration workflow.
Sauce Labs for Visual Studio Team Services & TFSSauce Labs
The Sauce Labs plugin for Visual Studio Team Services (VSTS) gives Visual Studio and TFS users access to the world’s largest cloud for automated testing. Our new integration with Visual Studio and TFS allows users to easily authenticate and launch tests on Sauce Labs as a part of their VSTS build process, enabling them to achieve true Continuous Integration (CI).
Scaling your Automated Tests: Docker and KubernetesManoj Kumar Kumar
Keynote presented at STeP-In SUMMIT 2019 Bengaluru.
Scaling your Automated Tests: Docker and Kubernetes - matched well with the theme of the conference "Intelligent Digital Mesh"
Slide deck from the talk I gave at the conference
1. QuickView for test data-> quick feedback
2. Automating everything on top of open-source tools like Selenium, Appium, jenkins etc.
3. Pain points and work arounds specially for Mobile App Test Automation
Selenium and Appium Training from Sauce LabsSauce Labs
In our ongoing effort to help developers and QA professionals quickly get up to speed with Selenium and Appium, we're thrilled to announce the availability of our three new technical training programs - Selenium 101, Appium 101, and Sauce Labs Onboarding. Led by professional instructors with in-depth knowledge of Selenium and Appium, class sizes are small and include lectures, demos, and interactive hands-on exercises.
How To Use Selenium Successfully (Java Edition)Sauce Labs
Dave Haeffner, a Selenium expert and active member of the Selenium project, steps through the why, how, and what of Selenium (the open-source automated web-testing tool for functional testing).
He also discusses how to start from nothing and build out a well-factored, maintainable, resilient, fast and scalable set of tests in Java. These will test your app across all of the browsers you care about, while exercising relevant functionality that matters to your business.
My final talk on the Appium mobile grid and getting started.
- Benefits of parallelization.
- The pros and cons of both cloud services and local setup.
- Getting connected devices information.
- Setting up Grid and Appium servers.
- Getting critical metadata to insert into Allure.
- The benefits of distributed tests vs parallel and when best to use them.
- Setup examples for Android and iOS.
- Leveraging cloud services by sending only selected tests to the cloud.
- Reduce service costs.
- Expose your app to a greater amount of devices and os's.
- A demo of Wunderlist's local grid.
SauceCon 2017: Testing @ the Speed of ConcurrencySauce Labs
Learn the why, what and how of testing with concurrency. In this talk, Mike will take attendees on an automation journey of in-house machine testing into cloud-based testing. He will show what worked, what didn’t and discuss things to improve as the machines are increasingly doing the work.
Beyond the Release: CI That Transforms OrganizationsSauce Labs
When DevOps talk meets DevOps tactics, companies are finding that Continuous Integration (CI) is the make or break point. And implementing CI is one thing, but making it healthy and sustainable takes a little bit more consideration.
In this webinar, Chris Riley (DevOps Analyst) and Andy Pemberton (CloudBees) will show you how Jenkins and Sauce Labs can work together to build a comprehensive CI tool set to help you release faster, at a higher quality and with more visibility.
Why one should do automation, what points to be taken into consideration while doing automation, Types of framework, Select the framework as per your project needs.
Simplify CI with the Updated Jenkins Plugin for Sauce LabsSauce Labs
Our updated Jenkins Plugin offers developers the combined power of the Sauce platform with Jenkins CI, the world’s leading CI tool, to further simplify and accelerate the development process.
This Webinar will give you an overview of the updated Jenkins CI plugin and how it helps you streamline your builds, simplify Sauce Connect and troubleshoot tests faster. Neil Manvar and Jack Moxon will take you on a tour of the new features and demonstrate how the plugin works in Jenkins.
Diffy : Automatic Testing of Microservices @ TwitterPuneet Khanduri
Agile development has become a norm nowadays. Though it fosters faster product development cycles, it often results in a higher number of functional and/or performance regressions. In an SOA setting such as Twitter, such regressions may cascade from one service to one or more services. Detecting such regressions manually is not practically feasible in light of the hundreds of services and tens of thousands of metrics each service collects. To this end, we developed a novel tool called Diffy to automatically detect such regressions.
The key highlights of the talk are the following:
A simple yet effective approach for detecting functional regressions. False positives are minimized via statistical analysis of metrics obtained from a tuple <primary,> of nodes, where the same traffic is sent to each node.
An ensemble approach to performance regression. The need for an ensemble of classifiers stemmed from the multifaceted characteristics of the performance data. In order to minimize the impact of variability of hardware performance across nodes, we used two clusters – instead of a tuple of nodes – corresponding to the release candidate and production code. The approach is robust against the presence of anomalies in the performance data.
The proposed techniques work well with minute data. Diffy has been in use in production by multiple services at Twitter, and has been baked into the continuous build process so as to actively detect functional and/or performance regressions.
We shall take the audience through how the techniques are being used at Twitter with REAL data.
How does Java 8 exert hidden power on Test Automation?Sergey Korol
Are you still wondering if it makes sense switching to Java 8? In the related SeleniumCamp 17 talk you’ll see useful practical examples of how new Java features in a combination with some powerful libraries (streamex, moneta, lombok, etc.) could make your test automation easier, drastically reduce implementation time and avoid reinventing the wheel.
Cypress has been gaining popularity during last couple of years. This tool aims to redefine a lot of established concepts that were present in end-to-end testing. Starting with Cypress feels like taking on a totally new testing journey. To be honest, it IS a different journey, but an exciting one. In this webinar, Cypress Ambassador Filip Hric, walks you through the first steps of how to start working with Cypress. Take away a solid understanding of what this tool can and cannot do for you.
Continuous Testing Meets the Classroom at Code.orgSauce Labs
Code.org's Brian Jordan, a Software Engineer, takes the audience for a fun tour of Code.org’s continuous, automated testing suite. Brian discusses how Code.org approaches testing throughout the product development cycle, given their unique testing challenges—developing interactive, game-like curriculum for just the types of browsers you’d expect to find in school computer labs—from Internet Explorer 9 to iPads across 40+ languages.
Tutorial on the integration of Selenium with cucumber for experts and fresher’sChirag Thumar
Before starting the work with selenium or cucumber we know that what is actually selenium and cucumber. Here in this PPT, I will share the Best tutorial about Selenium and cucumber. For more information please visit original source:
https://www.nexsoftsys.com/articles/automated-testing-selenium-cucumber.html
Sauce Labs for Visual Studio Team Services & TFSSauce Labs
The Sauce Labs plugin for Visual Studio Team Services (VSTS) gives Visual Studio and TFS users access to the world’s largest cloud for automated testing. Our new integration with Visual Studio and TFS allows users to easily authenticate and launch tests on Sauce Labs as a part of their VSTS build process, enabling them to achieve true Continuous Integration (CI).
Scaling your Automated Tests: Docker and KubernetesManoj Kumar Kumar
Keynote presented at STeP-In SUMMIT 2019 Bengaluru.
Scaling your Automated Tests: Docker and Kubernetes - matched well with the theme of the conference "Intelligent Digital Mesh"
Slide deck from the talk I gave at the conference
1. QuickView for test data-> quick feedback
2. Automating everything on top of open-source tools like Selenium, Appium, jenkins etc.
3. Pain points and work arounds specially for Mobile App Test Automation
Selenium and Appium Training from Sauce LabsSauce Labs
In our ongoing effort to help developers and QA professionals quickly get up to speed with Selenium and Appium, we're thrilled to announce the availability of our three new technical training programs - Selenium 101, Appium 101, and Sauce Labs Onboarding. Led by professional instructors with in-depth knowledge of Selenium and Appium, class sizes are small and include lectures, demos, and interactive hands-on exercises.
How To Use Selenium Successfully (Java Edition)Sauce Labs
Dave Haeffner, a Selenium expert and active member of the Selenium project, steps through the why, how, and what of Selenium (the open-source automated web-testing tool for functional testing).
He also discusses how to start from nothing and build out a well-factored, maintainable, resilient, fast and scalable set of tests in Java. These will test your app across all of the browsers you care about, while exercising relevant functionality that matters to your business.
My final talk on the Appium mobile grid and getting started.
- Benefits of parallelization.
- The pros and cons of both cloud services and local setup.
- Getting connected devices information.
- Setting up Grid and Appium servers.
- Getting critical metadata to insert into Allure.
- The benefits of distributed tests vs parallel and when best to use them.
- Setup examples for Android and iOS.
- Leveraging cloud services by sending only selected tests to the cloud.
- Reduce service costs.
- Expose your app to a greater amount of devices and os's.
- A demo of Wunderlist's local grid.
SauceCon 2017: Testing @ the Speed of ConcurrencySauce Labs
Learn the why, what and how of testing with concurrency. In this talk, Mike will take attendees on an automation journey of in-house machine testing into cloud-based testing. He will show what worked, what didn’t and discuss things to improve as the machines are increasingly doing the work.
Beyond the Release: CI That Transforms OrganizationsSauce Labs
When DevOps talk meets DevOps tactics, companies are finding that Continuous Integration (CI) is the make or break point. And implementing CI is one thing, but making it healthy and sustainable takes a little bit more consideration.
In this webinar, Chris Riley (DevOps Analyst) and Andy Pemberton (CloudBees) will show you how Jenkins and Sauce Labs can work together to build a comprehensive CI tool set to help you release faster, at a higher quality and with more visibility.
Why one should do automation, what points to be taken into consideration while doing automation, Types of framework, Select the framework as per your project needs.
Simplify CI with the Updated Jenkins Plugin for Sauce LabsSauce Labs
Our updated Jenkins Plugin offers developers the combined power of the Sauce platform with Jenkins CI, the world’s leading CI tool, to further simplify and accelerate the development process.
This Webinar will give you an overview of the updated Jenkins CI plugin and how it helps you streamline your builds, simplify Sauce Connect and troubleshoot tests faster. Neil Manvar and Jack Moxon will take you on a tour of the new features and demonstrate how the plugin works in Jenkins.
Diffy : Automatic Testing of Microservices @ TwitterPuneet Khanduri
Agile development has become a norm nowadays. Though it fosters faster product development cycles, it often results in a higher number of functional and/or performance regressions. In an SOA setting such as Twitter, such regressions may cascade from one service to one or more services. Detecting such regressions manually is not practically feasible in light of the hundreds of services and tens of thousands of metrics each service collects. To this end, we developed a novel tool called Diffy to automatically detect such regressions.
The key highlights of the talk are the following:
A simple yet effective approach for detecting functional regressions. False positives are minimized via statistical analysis of metrics obtained from a tuple <primary,> of nodes, where the same traffic is sent to each node.
An ensemble approach to performance regression. The need for an ensemble of classifiers stemmed from the multifaceted characteristics of the performance data. In order to minimize the impact of variability of hardware performance across nodes, we used two clusters – instead of a tuple of nodes – corresponding to the release candidate and production code. The approach is robust against the presence of anomalies in the performance data.
The proposed techniques work well with minute data. Diffy has been in use in production by multiple services at Twitter, and has been baked into the continuous build process so as to actively detect functional and/or performance regressions.
We shall take the audience through how the techniques are being used at Twitter with REAL data.
How does Java 8 exert hidden power on Test Automation?Sergey Korol
Are you still wondering if it makes sense switching to Java 8? In the related SeleniumCamp 17 talk you’ll see useful practical examples of how new Java features in a combination with some powerful libraries (streamex, moneta, lombok, etc.) could make your test automation easier, drastically reduce implementation time and avoid reinventing the wheel.
Cypress has been gaining popularity during last couple of years. This tool aims to redefine a lot of established concepts that were present in end-to-end testing. Starting with Cypress feels like taking on a totally new testing journey. To be honest, it IS a different journey, but an exciting one. In this webinar, Cypress Ambassador Filip Hric, walks you through the first steps of how to start working with Cypress. Take away a solid understanding of what this tool can and cannot do for you.
Continuous Testing Meets the Classroom at Code.orgSauce Labs
Code.org's Brian Jordan, a Software Engineer, takes the audience for a fun tour of Code.org’s continuous, automated testing suite. Brian discusses how Code.org approaches testing throughout the product development cycle, given their unique testing challenges—developing interactive, game-like curriculum for just the types of browsers you’d expect to find in school computer labs—from Internet Explorer 9 to iPads across 40+ languages.
Tutorial on the integration of Selenium with cucumber for experts and fresher’sChirag Thumar
Before starting the work with selenium or cucumber we know that what is actually selenium and cucumber. Here in this PPT, I will share the Best tutorial about Selenium and cucumber. For more information please visit original source:
https://www.nexsoftsys.com/articles/automated-testing-selenium-cucumber.html
Common Pitfalls of Functional Programming and How to Avoid Them: A Mobile Gam...gree_tech
This material is presented on CUFP 2013.
Functional programming is already an established technology is many areas. However, the lack of skilled developers has been a challenging hurdle in the adoption of such languages. It is easy for an inexperienced programmer to fall into the many traps of functional programming, resulting in a loss of productivity and bad software quality. Resource leaks caused by Haskell's lazy evaluation, for instance, are only the tip of the iceberg. Knowledge sharing and a mature tool-assisted development process are ways to avoid such pitfalls. At GREE, one of the largest mobile gaming companies, we use Haskell and Scala to develop major components of our platform, such as a distributed NoSQL solution, or an image storage infrastructure. However, only 11 programmers use functional programming on their daily task. In this talk, we will describe some unexpected functional programming issues we ran into, how we solved them and how we hope to avoid them in the future. We have developed a system testing framework to enhance regression testing, spent lots of time documenting pitfalls and introduced technical reviews. Recently, we even started holding lunchtime presentations about functional programming in order to attract beginners and prevent them from falling into the same traps.
First Section:
Continuous Delivery as a software engineering approach.
(This is beneficial for Project Managers, DEVs & QAs.)
1. Projects Case Studies to explain why you should adopt Continuous Delivery.
2. Advantages & Reasons for releasing software more frequently.
3. How to make a Reliable / Production Ready Software.
4. Ingredients of Continues Delivery.
5. Tools/ approaches to choose while using Continues Delivery Methodology.
Second Section:
Technical side of Continuous Delivery.
(This is more beneficial for DEVs/ QAs than Project Managers.)
1. Testing a Software.
2. Measuring Code Quality / Analytic to visualize teams performances.
3. Tools: Code Syntax Checker, Testing Framework, Build Automation, Automated Reporting/ Analytic Dashboard.
4. Continuous Delivery Automation over Cloud using Travis CI - Live demonstration.
Third Section:
1. Sample Projects for audience to adopt right tools for development, testing & deployments.
2. Q&A.
-------------------------------------------------
By Waqar Alamgir http://waqaralamgir.tk
This presentation was prepared for a Webcast where John Yerhot, Engine Yard US Support Lead, and Chris Kelly, Technical Evangelist at New Relic discussed how you can scale and improve the performance of your Ruby web apps. They shared detailed guidance on issues like:
Caching strategies
Slow database queries
Background processing
Profiling Ruby applications
Picking the right Ruby web server
Sharding data
Attendees will learn how to:
Gain visibility on site performance
Improve scalability and uptime
Find and fix key bottlenecks
See the on-demand replay:
http://pages.engineyard.com/6TipsforImprovingRubyApplicationPerformance.html
Lessons Learned Replatforming A Large Machine Learning Application To Apache ...Databricks
Morningstar’s Risk Model project is created by stitching together statistical and machine learning models to produce risk and performance metrics for millions of financial securities. Previously, we were running a single version of this application, but needed to expand it to allow for customizations based on client demand. With the goal of running hundreds of custom Risk Model runs at once at an output size of around 1TB of data each, we had a challenging technical problem on our hands! In this presentation, we’ll talk about the challenges we faced replatforming this application to Spark, how we solved them, and the benefits we saw.
Some things we’ll touch on include how we created customized models, the architecture of our machine learning application, how we maintain an audit trail of data transformations (for rigorous third party audits), and how we validate the input data our model takes in and output data our model produces. We want the attendees to walk away with some key ideas of what worked for us when productizing a large scale machine learning platform.
Andreas Grabner maintains that most performance and scalability problems don’t need a large or long running performance test or the expertise of a performance engineering guru. Don’t let anybody tell you that performance is too hard to practice because it actually is not. You can take the initiative and find these often serious defects. Andreas analyzed and spotted the performance and scalability issues in more than 200 applications last year. He shares his performance testing approaches and explores the top problem patterns that you can learn to spot in your apps. By looking at key metrics found in log files and performance monitoring data, you will learn to identify most problems with a single functional test and a simple five-user load test. The problem patterns Andreas explains are applicable to any type of technology and platform. Try out your new skills in your current testing project and take the first step toward becoming a performance diagnostic hero.
JavaOne 2016 - CON3080 - Testing Java Web Applications with Selenium: A CookbookJorge Hidalgo
By Jorge Hidalgo & Vicente Gonzalez, September 21st, 2016.
Automating tests of Java web applications should not be hard. Selenium is a well-known open source tool for automating user interactions within a browser that enables you to run the same test scripts across multiple browser types and operating systems unmodified. This session presents several recipes for working effectively with Selenium: multibrowser selectable tests, patterns for working with asynchronous calls, the page object pattern, and others. Armed with these recipes, developers will increase their proficiency in Selenium test automation and become even more productive in their day-to-day job.
XRebel is a development-flow-friendly performance tool that enables developers to make performance optimizations during initial development. Find slow methods and HTTP calls, excessive queries, and hidden exceptions within your web application.
Application Performance Troubleshooting 1x1 - Part 2 - Noch mehr Schweine und...rschuppe
Application Performance doesn't come easy. How to find the root cause of performance issues in modern and complex applications? All you have is a complaining user to start with?
In this presentation (mainly in German, but understandable for english speakers) I'd reprised the fundamentals of trouble shooting and have some new examples on how to tackle issues.
Follow up presentation to "Performance Trouble Shooting 101 - Schweine, Schlangen und Papierschnitte"
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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
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/
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
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.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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.
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.
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.
* Green icon represents a stable green CI build * Orange icon represents a CI build in progress * Red icon represents a broken CI build
* It is good to immediately know where you stand: whether all is good or something is broken * That’d enable you to fix something almost as soon as you break it
* High functional coverage implies that almost all functionality of the system is tested and any error introduced would be caught * Short CI build time implies that quick feedback is in place and any error introduced in the covered functionality would be immediately highlighted
* A website with a lot of content that comes from various sources, with a focus on creating an online community of people with similar interests
* Failures not caused by programmatic errors: possible reasons could include AJAX response delays, unpredictable browser responsiveness, network slowness, etc
* If a build is broken on what appears to be non-deterministic failure, someone will have to manually trigger another build in hope of the error not reoccurring * A retriggered build will take long again, further delaying feedback
* One main process will fork multiple sub-processes in parallel, each running only a subset of the original collection of test scenarios * When all sub-processes complete, the union of their results will be the final result of the entire test run * If the sub-processes are run on the same machine, a powerful multicore machine is desirable *Another approach is to run the sub-processes on different machines on a grid
* Chart of build times vs build numbers: the drastic drop is when parallelization was implemented * Slight variances in build times, including minor drops, also occur based on memory and CPU load at the time
* Used a Ruby library called parallel_tests to fork multiple Ruby processes, each running a subset of Cucumber features * This also involved coming up with custom rake tasks, including multiple pre-steps and post-steps * Instead of using parallel_tests to parallelize on the same machine, Selenium Grid is an alternate option to leverage grid computing
* Capture each forked process’s results independently * Generate consolidated HTML report as after-step when all forked processes finish
* Rails’ database.yml was modified to suffix process number to the name of the database
* Sunspot gem’s sunspot.yml was modified to suffix process number to the paths that Solr was to use * Monkey-patched Sunspot code to allow above parameterization in sunspot.yml
* Although each sub-process starts its independent Firefox instance, Selenium uses a shared set of ephemeral ports to communicate with the browsers * Contention occurs for these ephemeral ports which get locked when in use for a particular Firefox instance * Monkey-patched Capybara’s Selenium driver code to retry communicating with Firefox if a couple of attempts fail
* A particular machine can only allow so much parallelization based on its hardware specifications * Beyond a certain number of sub-processes, the non-deterministic failures will increase * After a few tries, we stabilized on having 6 concurrent sub-processes on the machine we were using
* Cucumber provides a rerun mode which retries all failed tests one more time before deciding the final status of the test suite run * Customized a rake task to invoke Cucumber’s rerun sequentially, after the parallel results come in
* We stubbed some external calls to return known values to cut down on communication delays * Used a Ruby library called WebMock * Examples: authentication servers, email servers, Facebook, Twitter, etc
* It helps to reduce the number of independent tests without reducing the functionality coverage * Example: if during sign up, email and zipcode are mandatory, they don’t need independent tests; there can be one test that begins by leaving email and zipcode empty, verifies that error messages are displayed for email and zipcode, and then adds email and zipcode, and proceeds with valid sign up scenarios * The above reduces browser clearing steps, visiting a certain page repeatedly without it contributing to the test steps, and so on
* There are multiple benefits of having quick feedback; implementing parallelization is one approach to achieve that * A complementary approach is to introspect and work on improving performance and responsiveness of the app itself, reducing build time by reducing waiting time * Being aware of build times and improving the same continuously is a good habit; even with parallelization in place, as more functionality gets added, build times will creep up