Sajid Manzoor’s Post

Founder @ RSY SOFTWARE | Leading Software Testing Services | 98% Bugs Reduction & 90% Faster Release

3mo

🚀 Why Testing Should Start as Soon as Development Begins 🛠️ One of the most common misconceptions in software development is that testing should only begin once a product is “complete” or at least in a mature state. In reality, starting testing as soon as development starts can be a game-changer. Here’s why: 1. Early Bug Detection Saves Time and Money: Identifying issues early in the development process prevents small bugs from growing into large, complex problems. Fixing a bug found early can cost a fraction of what it would at later stages. 2. Continuous Feedback Loop: Early testing creates a feedback loop between developers and testers. This immediate insight ensures that the product evolves efficiently, reducing rework and ensuring the right things are being built. 3. Boosting Product Quality: When testing is embedded from the start, it shifts the focus to building quality into the product. Developers are more mindful of potential edge cases and pitfalls, improving the overall architecture and code quality. 4. Facilitating Agile Development: In agile environments, quick iterations are key. Continuous testing aligns perfectly with agile principles by ensuring that every iteration is solid and ready to build upon, reducing bottlenecks. 5. Mitigating Risks Early On: Early testing uncovers performance bottlenecks, security vulnerabilities, and integration issues when they are easiest to resolve. The earlier these risks are addressed, the smoother the path to release. Test early. Test often. Build better. 🏗️✨ #SoftwareTesting #ContinuousTesting #AgileDevelopment #QualityAssurance #DevOps #SoftwareEngineering

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Muhammad K.

Solution Engineer at Snapchat

3mo

I would say also include the test team into the PRD process at an early stage is crucial. Early involvement enables the development of more comprehensive test cases and facilitates a more efficient and effective testing process.

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Maria Khan

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"Shift Left: Revolutionizing Testing with Early Intervention" In today's fast-paced software development, quality can't be an afterthought. "Shift Left" changes the game! What is Shift Left? Shift Left moves testing earlier in the development cycle, integrating it into every stage, from requirements gathering to coding. Benefits: 1. Fewer Defects: Catch errors early, reducing downstream costs. 2. Faster Time-to-Market: Test-driven development accelerates release cycles. 3. Improved Collaboration: Developers, QA, and stakeholders work together. 4. Reduced Rework: Identify issues before they become critical. Shift Left Strategies: 1. Test-Driven Development (TDD) 2. Behavior-Driven Development (BDD) 3. Continuous Integration/Continuous Deployment (CI/CD) 4. Pair Programming 5. Code Reviews Real-World Impact: - Reduced testing time by 30% - Increased test coverage by 25% - Improved defect detection by 40% - Enhanced team collaboration and communication Embracing Shift Left: 1. Culture Shift: Encourage collaboration and testing mindset. 2. Training and Support: Invest in team skills development. 3. Automation: Leverage tools for efficient testing. #ShiftLeft #Testing #SoftwareDevelopment #QualityAssurance #Agile #DevOps
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Repeato

309 followers
2mo
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🚀 **Navigating the Dilemma: Should You Write Unit Test Cases for a Frequently Changing Product?** In the world of software development, the question of whether to invest time in unit tests during the initial phases of a project is a common one. **Why Unit Tests Matter:** - **Proactive Quality Assurance:** Identify issues early to prevent costly fixes later. 🛡️ - **Facilitates Refactoring:** Refactor with confidence, knowing that existing functionality is protected. 🔄 - **Supports Continuous Integration:** Get immediate feedback on code changes. 🔗 **Common Misconceptions:** - Unit tests can’t be deferred until the product stabilizes; doing so often leads to technical debt. - Manual and automated testing work best in tandem. **Best Practices:** - Focus on behavior, not implementation. 📝 - Adopt Test-Driven Development (TDD). 🔍 - Maintain high test coverage. 📊 Writing unit tests is essential for maintaining robust and adaptable software. Explore our article for more insights! #SoftwareTesting #UnitTests #DevOps #ContinuousIntegration #Agile #SoftwareQuality

Should You Write Unit Test Cases for a Frequently Changing Product? - Repeato
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Rajesh Omprakash

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4mo
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🔄 Shift Left vs. Shift Right Testing: A Modern Approach to Quality In today’s software development, quality is a continuous process. Two key strategies are Shift Left and Shift Right testing. Let’s explore these approaches, their differences, and when to use each. ⬅️ Shift Left Testing Shift Left Testing involves starting testing as early as possible in the software development lifecycle. Traditionally, testing happened after development, leading to costly fixes and delays. Shift Left changes this by integrating testing from the start. Key Characteristics: • Early Involvement: Testing begins during requirements and design, catching issues early. • Test-Driven Development (TDD): Tests are written before code, ensuring continuous validation. • Behavior-Driven Development (BDD): Extends TDD by writing tests in plain language for better collaboration. • Automation: Emphasizes using automated tests early, including unit and integration tests. Use Cases: • Agile Environments: Vital in Agile for quick issue detection and fixing. • Complex Systems: Identifies design and integration issues early. • Regulated Industries: Ensures compliance and security from the outset. ➡️ Shift Right Testing Shift Right Testing focuses on validating and monitoring software in production or near-production environments. It ensures the application performs well in real-world conditions and continues to do so over time. Key Characteristics: • Production Testing: Ongoing testing in live environments, monitoring performance and user experience. • User Feedback: Integrates real user feedback for continuous improvement. • Resilience Testing: Tests system robustness by introducing failures in production. • Service Monitoring: Continuously monitors service levels (SLOs/SLAs). Use Cases: • Continuous Delivery: Ensures stability and performance in CI/CD pipelines. • Customer-Centric Apps: Optimizes based on real user data. • High Availability: Critical for systems needing constant uptime. Why Combine Both? Combining Shift Left and Shift Right ensures quality throughout the entire software lifecycle. Early testing builds a strong foundation, while continuous production validation keeps your app reliable and user-friendly as it scales. #ShiftLeft #ShiftRight #SoftwareTesting #DevOps #Agile #ContinuousIntegration #ContinuousDelivery #TDD #BDD #QualityAssurancey

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Charan T M

Test Automation Engineer @Capgemini || Java-Selenium || RestAssured ||Tosca || Postman API || Agile || Test NG || Gen AI || 540k Post Impressions.
1mo
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Shift-Left Testing: Catch Bugs Early, Save Time Later. Did you know that finding and fixing bugs early in development is much cheaper and faster than fixing them after release? That’s the idea behind Shift-Left Testing—a smarter way to build high-quality software. Instead of waiting until the end of development to test, Shift-Left means testing happens early and often. This approach works great in Agile and DevOps teams, where speed and quality are equally important. Here’s why it’s so effective: 1️⃣ Fewer Surprises Later: Catching bugs early means fewer issues when the product is finished. 2️⃣ Team Collaboration: Developers, testers, and product managers work together from the start, which improves the whole process. 3️⃣ Stronger Automation: Writing automated tests early saves time and helps catch issues quickly. 4️⃣ Faster Feedback: Early testing gives quick feedback, so problems don’t pile up. Want to try Shift-Left Testing? Here’s how to get started: • Write test cases before you start coding. • Use tools like static code analysis and unit testing to test during development. • Make quality everyone’s responsibility, not just the testing team’s job. By testing early, you can release software faster and with more confidence. 👉 Follow Charan T M for more tips, tools, and insights about software testing, automation, and job updates. #ShiftLeftTesting #SoftwareQuality #Agile #DevOps #SoftwareTesting
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Vikram Kanse

Aren't we all pirates :) #onepiece
7mo
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I am an advocate of great visualization. Below is yet another example of it. To everyone who wants to understand how organizations ship code, below is a great post from Ashish Joshi that explains the entire process.. Do have a look into it.. 😊
Ashish Joshi

Data Engineering Director at UBS | Cloud, Big Data & Analytics Leader | Agile & DevOps Transformation | Building Scalable Systems for High-Impact Results | Software Architecture Visionary
7mo

🚀 How Companies Ship Code to Production: A Step-by-Step Guide 🚀 In today's fast-paced tech world, shipping code efficiently and reliably is critical for delivering value to customers. Here's a visual breakdown of the process many companies follow to ensure seamless code deployment from planning to production: Plan 1️⃣ Create Stories: The Product Owner creates user stories in Jira, outlining the new features and requirements. 2️⃣ Take User Stories: Developers take the user stories and prepare to turn them into code. Development 3️⃣ Commit Code to Git: Developers write code and commit it to a version control system like GitHub. 4️⃣ Build: Using tools like Jenkins, JUnit, JaCoCo, and SonarQube, the code is built and tested. Successful builds are stored in JFrog Artifactory. Build & Package 5️⃣ Deploy to Dev Environment: The built code is deployed to a development environment using Docker. 6️⃣ Deploy Feature to QA Environment: The code is moved to the QA environment for further testing. Test 7️⃣ QA Testing: The QA team conducts various tests, including regression and performance testing. 8️⃣ Deploy Feature to UAT Environment: After passing QA, the code is deployed to the UAT environment for final validation. Release 9️⃣ UAT Testing: Final user acceptance testing is performed to ensure everything works as expected. 🔟 Deploy Feature to Prod Environment: Once approved, the code is deployed to the production environment. 1️⃣1️⃣ Monitoring and Alerting: SRE (Site Reliability Engineering) teams monitor the production environment using tools like ELK Stack, Prometheus, and Skywalking to ensure smooth operation and quick issue resolution. By following these steps, companies can maintain high standards of quality and reliability in their software delivery process. 💡 How does your company ship code to production? Share your experiences and insights below! 🚀📢👇 📢 Shoutout to ByteByteGo, Alex Xu, for sharing such an engaging illustration, and Rocky Bhatia for his expertise and insights! Found this breakdown insightful? Please like 👍 and ♻️ share it with your network. If you like this post and want to see more: Connect/Follow/Ring the bell Ashish Joshi 🔔 #SoftwareDevelopment #DevOps #CI #CD #Agile #Tech #Programming #SRE #ContinuousIntegration #ContinuousDelivery
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Suresh Somu

Lead Salesforce Developer and Architect at Veolia UK
7mo
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A step by step guide to develop and promote code
Ashish Joshi

Data Engineering Director at UBS | Cloud, Big Data & Analytics Leader | Agile & DevOps Transformation | Building Scalable Systems for High-Impact Results | Software Architecture Visionary
7mo

🚀 How Companies Ship Code to Production: A Step-by-Step Guide 🚀 In today's fast-paced tech world, shipping code efficiently and reliably is critical for delivering value to customers. Here's a visual breakdown of the process many companies follow to ensure seamless code deployment from planning to production: Plan 1️⃣ Create Stories: The Product Owner creates user stories in Jira, outlining the new features and requirements. 2️⃣ Take User Stories: Developers take the user stories and prepare to turn them into code. Development 3️⃣ Commit Code to Git: Developers write code and commit it to a version control system like GitHub. 4️⃣ Build: Using tools like Jenkins, JUnit, JaCoCo, and SonarQube, the code is built and tested. Successful builds are stored in JFrog Artifactory. Build & Package 5️⃣ Deploy to Dev Environment: The built code is deployed to a development environment using Docker. 6️⃣ Deploy Feature to QA Environment: The code is moved to the QA environment for further testing. Test 7️⃣ QA Testing: The QA team conducts various tests, including regression and performance testing. 8️⃣ Deploy Feature to UAT Environment: After passing QA, the code is deployed to the UAT environment for final validation. Release 9️⃣ UAT Testing: Final user acceptance testing is performed to ensure everything works as expected. 🔟 Deploy Feature to Prod Environment: Once approved, the code is deployed to the production environment. 1️⃣1️⃣ Monitoring and Alerting: SRE (Site Reliability Engineering) teams monitor the production environment using tools like ELK Stack, Prometheus, and Skywalking to ensure smooth operation and quick issue resolution. By following these steps, companies can maintain high standards of quality and reliability in their software delivery process. 💡 How does your company ship code to production? Share your experiences and insights below! 🚀📢👇 📢 Shoutout to ByteByteGo, Alex Xu, for sharing such an engaging illustration, and Rocky Bhatia for his expertise and insights! Found this breakdown insightful? Please like 👍 and ♻️ share it with your network. If you like this post and want to see more: Connect/Follow/Ring the bell Ashish Joshi 🔔 #SoftwareDevelopment #DevOps #CI #CD #Agile #Tech #Programming #SRE #ContinuousIntegration #ContinuousDelivery
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Eden Mabuti-Reodica

Quality Assurance Engineer l Test Specialist
7mo
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💡This is the easiest way to understand how Software development happens and seeing clearly the importance of testing before it goes to Prod. #softwaredevelopment #softwaretesting #womenintech
Ashish Joshi

Data Engineering Director at UBS | Cloud, Big Data & Analytics Leader | Agile & DevOps Transformation | Building Scalable Systems for High-Impact Results | Software Architecture Visionary
7mo

🚀 How Companies Ship Code to Production: A Step-by-Step Guide 🚀 In today's fast-paced tech world, shipping code efficiently and reliably is critical for delivering value to customers. Here's a visual breakdown of the process many companies follow to ensure seamless code deployment from planning to production: Plan 1️⃣ Create Stories: The Product Owner creates user stories in Jira, outlining the new features and requirements. 2️⃣ Take User Stories: Developers take the user stories and prepare to turn them into code. Development 3️⃣ Commit Code to Git: Developers write code and commit it to a version control system like GitHub. 4️⃣ Build: Using tools like Jenkins, JUnit, JaCoCo, and SonarQube, the code is built and tested. Successful builds are stored in JFrog Artifactory. Build & Package 5️⃣ Deploy to Dev Environment: The built code is deployed to a development environment using Docker. 6️⃣ Deploy Feature to QA Environment: The code is moved to the QA environment for further testing. Test 7️⃣ QA Testing: The QA team conducts various tests, including regression and performance testing. 8️⃣ Deploy Feature to UAT Environment: After passing QA, the code is deployed to the UAT environment for final validation. Release 9️⃣ UAT Testing: Final user acceptance testing is performed to ensure everything works as expected. 🔟 Deploy Feature to Prod Environment: Once approved, the code is deployed to the production environment. 1️⃣1️⃣ Monitoring and Alerting: SRE (Site Reliability Engineering) teams monitor the production environment using tools like ELK Stack, Prometheus, and Skywalking to ensure smooth operation and quick issue resolution. By following these steps, companies can maintain high standards of quality and reliability in their software delivery process. 💡 How does your company ship code to production? Share your experiences and insights below! 🚀📢👇 📢 Shoutout to ByteByteGo, Alex Xu, for sharing such an engaging illustration, and Rocky Bhatia for his expertise and insights! Found this breakdown insightful? Please like 👍 and ♻️ share it with your network. If you like this post and want to see more: Connect/Follow/Ring the bell Ashish Joshi 🔔 #SoftwareDevelopment #DevOps #CI #CD #Agile #Tech #Programming #SRE #ContinuousIntegration #ContinuousDelivery
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Muhammad Yasar

Function Lead | ISTQB® CTFL | ISTQB® Agile Certified | Scrum Master SMAC™ | SPOAC™
5mo
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In the fast-paced world of software development, a well-crafted Test Plan isn’t just a nice-to-have; it’s essential for delivering high-quality products. Here are the key components that every effective Test Plan should cover at-least: Objectives and Scope: Clearly define what you’re testing and the goals behind it. Are we focusing on performance, security, or functionality? Test Strategy: Outline the testing methods (manual/automated, black/white box) to be used. This helps align the team on the approach. Resources and Responsibilities: Identify team members and their roles. This prevents confusion and promotes accountability. Test Environment Setup: Specify the hardware and software environments needed for testing. A well-prepared environment saves time later. Test Cases: Detail the test scenarios that will be executed. Think of this as your roadmap to success! Risk Assessment: Identify potential risks and mitigation strategies. This proactive step can save us from major setbacks. Schedule and Milestones: Set timelines for each phase of testing. Time management is key to staying on track. By investing time in a comprehensive Test Plan, we set ourselves up for success, ensuring our products not only meet but exceed user expectations. If you want to learn more about the other components of a test plan feel free to ask as these are just for higher priority... #TestPlanning #SoftwareQuality #QualityAssurance #Testing #Agile #DevOps #Leadership #TechInnovation #SoftwareTesting #ProjectManagement
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Offcampus Jobs - Dream Job Careers

623 followers
7mo
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Step by step to production
Ashish Joshi

Data Engineering Director at UBS | Cloud, Big Data & Analytics Leader | Agile & DevOps Transformation | Building Scalable Systems for High-Impact Results | Software Architecture Visionary
7mo

🚀 How Companies Ship Code to Production: A Step-by-Step Guide 🚀 In today's fast-paced tech world, shipping code efficiently and reliably is critical for delivering value to customers. Here's a visual breakdown of the process many companies follow to ensure seamless code deployment from planning to production: Plan 1️⃣ Create Stories: The Product Owner creates user stories in Jira, outlining the new features and requirements. 2️⃣ Take User Stories: Developers take the user stories and prepare to turn them into code. Development 3️⃣ Commit Code to Git: Developers write code and commit it to a version control system like GitHub. 4️⃣ Build: Using tools like Jenkins, JUnit, JaCoCo, and SonarQube, the code is built and tested. Successful builds are stored in JFrog Artifactory. Build & Package 5️⃣ Deploy to Dev Environment: The built code is deployed to a development environment using Docker. 6️⃣ Deploy Feature to QA Environment: The code is moved to the QA environment for further testing. Test 7️⃣ QA Testing: The QA team conducts various tests, including regression and performance testing. 8️⃣ Deploy Feature to UAT Environment: After passing QA, the code is deployed to the UAT environment for final validation. Release 9️⃣ UAT Testing: Final user acceptance testing is performed to ensure everything works as expected. 🔟 Deploy Feature to Prod Environment: Once approved, the code is deployed to the production environment. 1️⃣1️⃣ Monitoring and Alerting: SRE (Site Reliability Engineering) teams monitor the production environment using tools like ELK Stack, Prometheus, and Skywalking to ensure smooth operation and quick issue resolution. By following these steps, companies can maintain high standards of quality and reliability in their software delivery process. 💡 How does your company ship code to production? Share your experiences and insights below! 🚀📢👇 📢 Shoutout to ByteByteGo, Alex Xu, for sharing such an engaging illustration, and Rocky Bhatia for his expertise and insights! Found this breakdown insightful? Please like 👍 and ♻️ share it with your network. If you like this post and want to see more: Connect/Follow/Ring the bell Ashish Joshi 🔔 #SoftwareDevelopment #DevOps #CI #CD #Agile #Tech #Programming #SRE #ContinuousIntegration #ContinuousDelivery
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