Mobile App Development Frameworks

𝟏𝟐 𝐏𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐏𝐫𝐨𝐦𝐩𝐭𝐬 𝐭𝐨 𝐃𝐞𝐛𝐮𝐠 𝐂𝐨𝐝𝐞 𝐅𝐚𝐬𝐭𝐞𝐫 Most developers debug by trial and error. These 12 prompts turn AI into your debugging partner from fixing bugs to generating test cases. 𝟏. 𝐅𝐢𝐱 𝐭𝐡𝐞 𝐁𝐮𝐠 When: Your code is not working as expected Prompt: "Help me understand why this code is failing and explain the fix in very simple terms: [your code snippet]." 𝟐. 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐭𝐡𝐞 𝐄𝐫𝐫𝐨𝐫 When: You encounter an error message Prompt: "I am getting this error: [error message]. What does it mean, and how can I fix it?" 𝟑. 𝐂𝐡𝐞𝐜𝐤 𝐄𝐝𝐠𝐞 𝐂𝐚𝐬𝐞𝐬 When: You want to ensure your logic is complete Prompt: "Here is what my function should do: [description]. Can you identify edge cases or scenarios I might have missed?" 𝟒. 𝐑𝐞𝐯𝐢𝐞𝐰 𝐭𝐡𝐞 𝐂𝐨𝐝𝐞 When: You want a quality check Prompt: "Review this code for bugs, security issues, and bad practices: [your code]." 𝟓. 𝐆𝐞𝐭 𝐃𝐞𝐛𝐮𝐠𝐠𝐢𝐧𝐠 𝐒𝐭𝐞𝐩𝐬 When: You are stuck on a tricky issue Prompt: "I am facing this issue: [describe problem]. What step-by-step approach should I take to debug it?" 𝟔. 𝐕𝐚𝐥𝐢𝐝𝐚𝐭𝐞 𝐀𝐬𝐬𝐮𝐦𝐩𝐭𝐢𝐨𝐧𝐬 When: You suspect incorrect logic Prompt: "I think the issue is in [part of code] because I assumed [X]. What assumptions might be wrong?" 𝟕. 𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐂𝐨𝐝𝐞 When: You do not fully understand the code Prompt: "Explain what this code does step by step in simple terms: [paste code]." 𝟖. 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐞 𝐓𝐞𝐬𝐭 𝐂𝐚𝐬𝐞𝐬 When: You want to test thoroughly Prompt: "Create test cases, including edge cases, for this code or feature: [description or code]." 𝟗. 𝐈𝐬𝐨𝐥𝐚𝐭𝐞 𝐭𝐡𝐞 𝐈𝐬𝐬𝐮𝐞 When: You do not know where the bug is Prompt: "Help me isolate the exact part of the code causing this issue and suggest how to verify it." 𝟏𝟎. 𝐂𝐨𝐦𝐩𝐚𝐫𝐞 𝐄𝐱𝐩𝐞𝐜𝐭𝐞𝐝 𝐯𝐬 𝐀𝐜𝐭𝐮𝐚𝐥 When: Output does not match expectations Prompt: "Here is what I expected: [expected]. Here is what I got: [actual]. Where could things be going wrong?" 𝟏𝟏. 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐭𝐡𝐞 𝐅𝐢𝐱 When: You have a working solution but want improvements Prompt: "This solution works, but can you suggest a cleaner, more efficient, or more scalable version?" 𝟏𝟐. 𝐀𝐝𝐝 𝐃𝐞𝐛𝐮𝐠𝐠𝐢𝐧𝐠 𝐋𝐨𝐠𝐬 When: You need better visibility into execution Prompt: "Where should I add logs or breakpoints in this code to better understand what's happening?" Debugging is not about fixing bugs faster. It is about understanding the problem, validating assumptions, testing thoroughly, and optimizing the solution. 𝐖𝐡𝐢𝐜𝐡 𝐩𝐫𝐨𝐦𝐩𝐭 𝐚𝐫𝐞 𝐲𝐨𝐮 𝐮𝐬𝐢𝐧𝐠 𝐭𝐨𝐝𝐚𝐲? ♻️ Repost this to help your network get started ➕ Follow Anurag(Anu) Karuparti for more PS: If you found this valuable, join my weekly newsletter where I document the real-world journey of AI transformation. ✉️ Free subscription: https://lnkd.in/exc4upeq #GenAI #AgenticAI #AIAgents

Did you know about "𝐄𝐧𝐜𝐫𝐲𝐩𝐭𝐞𝐝 𝐒𝐡𝐚𝐫𝐞𝐝 𝐏𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬"? As I am learning about 𝐀𝐮𝐭𝐡𝐞𝐧𝐭𝐢𝐚𝐜𝐭𝐢𝐨𝐧 and 𝐀𝐮𝐭𝐡𝐨𝐫𝐢𝐬𝐚𝐭𝐢𝐨𝐧 in Android, I came across a very interesting thing I want to share with you all. 𝑬𝒏𝒄𝒓𝒚𝒑𝒕𝒆𝒅𝑺𝒉𝒂𝒓𝒆𝒅𝑷𝒓𝒆𝒇𝒆𝒓𝒆𝒏𝒄𝒆𝒔 𝑖𝑠 𝑎 𝑝𝑜𝑤𝑒𝑟𝑓𝑢𝑙 𝑡𝑜𝑜𝑙 𝑡ℎ𝑎𝑡 𝑒𝑛ℎ𝑎𝑛𝑐𝑒𝑠 𝑡ℎ𝑒 𝑠𝑒𝑐𝑢𝑟𝑖𝑡𝑦 𝑜𝑓 𝑦𝑜𝑢𝑟 𝐴𝑛𝑑𝑟𝑜𝑖𝑑 𝑎𝑝𝑝'𝑠 𝑠ℎ𝑎𝑟𝑒𝑑 𝑝𝑟𝑒𝑓𝑒𝑟𝑒𝑛𝑐𝑒𝑠. 𝑈𝑛𝑙𝑖𝑘𝑒 𝑟𝑒𝑔𝑢𝑙𝑎𝑟 𝑠ℎ𝑎𝑟𝑒𝑑 𝑝𝑟𝑒𝑓𝑒𝑟𝑒𝑛𝑐𝑒𝑠, 𝑤ℎ𝑖𝑐ℎ 𝑠𝑡𝑜𝑟𝑒 𝑑𝑎𝑡𝑎 𝑖𝑛 𝑝𝑙𝑎𝑖𝑛 𝑡𝑒𝑥𝑡, 𝐸𝑛𝑐𝑟𝑦𝑝𝑡𝑒𝑑𝑆ℎ𝑎𝑟𝑒𝑑𝑃𝑟𝑒𝑓𝑒𝑟𝑒𝑛𝑐𝑒𝑠 𝑎𝑢𝑡𝑜𝑚𝑎𝑡𝑖𝑐𝑎𝑙𝑙𝑦 𝑒𝑛𝑐𝑟𝑦𝑝𝑡𝑠 𝑎𝑛𝑑 𝑑𝑒𝑐𝑟𝑦𝑝𝑡𝑠 𝑑𝑎𝑡𝑎, 𝑝𝑟𝑜𝑡𝑒𝑐𝑡𝑖𝑛𝑔 𝑖𝑡 𝑓𝑟𝑜𝑚 𝑢𝑛𝑎𝑢𝑡ℎ𝑜𝑟𝑖𝑧𝑒𝑑 𝑎𝑐𝑐𝑒𝑠𝑠. 𝐊𝐞𝐲 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 𝐟𝐫𝐨𝐦 𝐫𝐞𝐠𝐮𝐥𝐚𝐫 𝐬𝐡𝐚𝐫𝐞𝐝 𝐩𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬: 𝑬𝒏𝒄𝒓𝒚𝒑𝒕𝒊𝒐𝒏: EncryptedSharedPreferences uses a strong encryption algorithm to protect data. 𝑲𝒆𝒚 𝒔𝒕𝒐𝒓𝒂𝒈𝒆: The encryption key is securely stored in the Android KeyStore, making it difficult to extract. 𝑻𝒓𝒂𝒏𝒔𝒑𝒂𝒓𝒆𝒏𝒄𝒚: EncryptedSharedPreferences seamlessly integrates with your existing code, offering a transparent user experience. 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬: 𝑬𝒏𝒉𝒂𝒏𝒄𝒆𝒅 𝒔𝒆𝒄𝒖𝒓𝒊𝒕𝒚: Protects sensitive data from unauthorized access and data breaches. 𝑬𝒂𝒔𝒚 𝒕𝒐 𝒊𝒎𝒑𝒍𝒆𝒎𝒆𝒏𝒕: Integrates seamlessly with your existing shared preferences code. 𝑻𝒓𝒂𝒏𝒔𝒑𝒂𝒓𝒆𝒏𝒕 𝒕𝒐 𝒖𝒔𝒆𝒓𝒔: Doesn't require any additional user interaction. Compliance: Helps meet data privacy regulations like GDPR and CCPA. 𝐃𝐢𝐬𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬: - 𝑷𝒆𝒓𝒇𝒐𝒓𝒎𝒂𝒏𝒄𝒆 𝒐𝒗𝒆𝒓𝒉𝒆𝒂𝒅: Can slightly impact app performance, especially for frequent read/write operations. - 𝑪𝒐𝒎𝒑𝒍𝒆𝒙𝒊𝒕𝒚: Requires careful implementation to avoid security vulnerabilities. - 𝑪𝒐𝒎𝒑𝒂𝒕𝒊𝒃𝒊𝒍𝒊𝒕𝒚: May not be compatible with older Android versions or custom ROMs. 𝐖𝐡𝐞𝐧 𝐭𝐨 𝐮𝐬𝐞 𝐄𝐧𝐜𝐫𝐲𝐩𝐭𝐞𝐝𝐒𝐡𝐚𝐫𝐞𝐝𝐏𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 ? - 𝑺𝒕𝒐𝒓𝒊𝒏𝒈 𝒔𝒆𝒏𝒔𝒊𝒕𝒊𝒗𝒆 𝒅𝒂𝒕𝒂: Use it to protect user credentials (e.g., passwords, tokens), payment information, or other sensitive data. - 𝑷𝒓𝒐𝒕𝒆𝒄𝒕𝒊𝒏𝒈 𝒂𝒑𝒑 𝒔𝒆𝒕𝒕𝒊𝒏𝒈𝒔: Secure app settings that might affect user privacy or security. - 𝑪𝒐𝒎𝒑𝒍𝒊𝒂𝒏𝒄𝒆 𝒓𝒆𝒒𝒖𝒊𝒓𝒆𝒎𝒆𝒏𝒕𝒔: If your app needs to comply with data privacy regulations (e.g., GDPR, CCPA), EncryptedSharedPreferences can help you meet these standards. By leveraging 𝐄𝐧𝐜𝐫𝐲𝐩𝐭𝐞𝐝𝐒𝐡𝐚𝐫𝐞𝐝𝐏𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬, you can significantly improve your app's security and protect your users' privacy. #AndroidDevelopment #Security #Privacy #EncryptedSharedPreferences #AppSecurity For more posts like these, follow Shubham Singh

Debugging Like a Pro: 5 tricks for Finding and Fixing Bugs Faster Every software engineer spends a significant chunk of their time debugging. While it can be frustrating, approaching it systematically can make all the difference. Here are five principles that help me debug effectively: 1️⃣ First Principles Thinking Instead of relying on assumptions, break the problem down to its fundamentals. What exactly is happening? What should be happening? Is there an underlying principle (e.g., data flow, memory allocation) being violated? 2️⃣ Check the Basics Is the server running? Are the configurations correct? Is there a typo in the variable name? Some of the hardest-to-find bugs come from the simplest mistakes. Always verify the basics before diving deep. 3️⃣ Reproduce It Consistently If you can’t reproduce a bug reliably, you can’t fix it effectively. Identify the exact steps or conditions that trigger the issue—this makes debugging structured rather than a guessing game. 4️⃣ Read the Error Messages Error messages often tell you exactly what’s wrong—if you take the time to understand them. Instead of ignoring or Googling blindly, break down what the message is saying and investigate from there. 5️⃣ Identify if It's a Device or Data-Specific Issue Is the bug happening on all devices or just one? Does it occur with all data inputs or only specific ones? Debugging becomes much easier once you determine whether the issue is related to environment constraints (e.g., OS, browser, hardware) or specific data conditions. Debugging is a skill, and like any skill, it gets better with practice. What are your favorite debugging techniques? Drop them in the comments! #Debugging #SoftwareEngineering #ProblemSolving #FirstPrinciples

Mastering Real-World App Performance: Our Strategy at Space-O Technologies In the dynamic world of mobile app development, testing and monitoring app performance under real-world conditions is crucial. At Space-O Technologies, we’ve developed a robust approach that ensures our apps not only meet but exceed performance expectations. Here’s how we do it, backed by real data and results. 📊📱 1. Real-User Monitoring (RUM): Our Tactic: We use RUM to gather insights on how our apps perform in real user environments. This has led to a 30% improvement in identifying and resolving user-specific issues. Benefit: By understanding actual user interactions, we've increased user satisfaction rates by 20%. 2. Load Testing in Realistic Conditions: Strategy: We simulate various user conditions, from low network connectivity to high traffic, to ensure our apps can handle real-world stresses. This approach has reduced app downtime by 40%. Outcome: As a result, we've seen a 25% increase in user retention due to improved app reliability. 3. Beta Testing with a Diverse User Base: Method: Our beta testing involves users from various demographics and tech-savviness. This diverse feedback led to a 35% increase in the app’s usability across different user groups. Impact: Enhanced user experience has led to a 15% increase in positive app reviews and ratings. 4. Performance Analytics Tools: Application: We employ advanced analytics tools to continuously monitor app performance metrics. This has helped us in optimizing app features, resulting in a 20% increase in app speed and responsiveness. Advantage: Improved performance metrics have directly contributed to a 30% growth in active daily users. 5. AI-Powered Incident Detection: Innovation: Using AI for incident detection and prediction has been a game-changer, reducing our issue resolution time by 50%. Result: Faster issue resolution has led to a 60% reduction in user complaints related to performance. 6. Regular Updates Based on Performance Data: Practice: We roll out updates based on concrete performance data, which has led to a 40% improvement in feature adoption and efficiency. Return on Investment: This strategic update process has enhanced overall app engagement by 25%. 🔍 Ensuring Peak Performance in the Real World At Space-O Technologies, we’re committed to delivering apps that perform flawlessly in the real world. Our methods are tried and tested, ensuring that our clients’ apps thrive under any condition. If you’re striving for excellence in app performance, let’s connect and share insights! https://lnkd.in/df_Pj6Ps Jasmine Patel , Bhaval Patel, Ankit Shah , Vijayant Das, Priyanka Wadhwani , Amit Patoliya , Yuvrajsinh Vaghela , Asha Kumar - SAFe Agilist #AppPerformance #RealWorldTesting #MobileAppDevelopment #TechInnovation #mobileappdevelopment #mobileapp #mobileappdesign

With new mobile devices constantly entering the market, ensuring compatibility is more challenging than ever. Compatibility issues can lead to poor user experiences, frustrating users with crashes and functionality problems. Staying ahead with comprehensive testing across a wide range of devices is crucial for maintaining user satisfaction and app reliability. I would like to share the strategy that I have used for comparability testing of mobile applications. 1️⃣ Early Sprint Testing: Emulators During the early stages of development within a sprint, leverage emulators. They are cost-effective and allow for rapid testing, ensuring you catch critical bugs early. 2️⃣ Stabilization Phase: Physical Devices As your application begins to stabilize, transition to testing on physical devices. This shift helps identify real-world issues related to device-specific behaviors, network conditions, and more. 3️⃣ Hardening/Release Sprint: Cloud-Based Devices In the final stages, particularly during the hardening or release sprint, use cloud-based device farms. This approach ensures your app is tested across a wide array of devices and configurations, catching any last-minute issues that could impact user experience. Adopting this 3 tiered approach ensures a comprehensive testing coverage, leading to a more reliable and user-friendly application. What is the strategy that you are adopting for testing your mobile apps. Please share your views as comments. #MobileTesting #SoftwareTesting #QualityAssurance #Testmetry

Day 6: 🔧 Top 10 Testing Tools Every QA Engineer Should Know in 2025 QA is no longer just about catching bugs — it's a critical enabler of fast, secure, and scalable software delivery. As projects grow more complex and timelines shrink, the right tools can make or break your testing strategy. 🛠️ Top 10 Testing Tools Shaping QA in 2025 Selenium The industry standard for web automation testing. Selenium supports multiple languages and browsers, making it a top choice for regression and functional testing. Postman A powerful platform for API development and testing, offering automation via scripts, mock servers, and robust integrations. A go-to for backend and service validation. Apache JMeter A performance testing tool is widely used to simulate heavy loads on servers and measure application behavior under stress. Essential for web and API performance testing. TestNG A versatile testing framework inspired by JUnit but more powerful—great for complex testing suites, parallel test execution, and data-driven testing, especially with Selenium. Appium The leading open-source tool for mobile automation testing. Supports native, hybrid, and mobile web apps on both Android and iOS using a single codebase. Cypress A modern end-to-end testing framework for JavaScript applications. Loved for its speed, debuggability, and real-time reloading—ideal for frontend UI tests. Playwright Developed by Microsoft, this fast-rising tool enables reliable cross-browser testing across Chromium, Firefox, and WebKit with headless support and full automation features. Burp Suite The gold standard for web security testing. Ideal for penetration testing, detecting vulnerabilities like XSS, CSRF, and more, vital in DevSecOps pipelines. TestRail A comprehensive test case management platform that helps teams organize, track, and manage testing efforts with integrations to tools like Jira and CI/CD pipelines. QTest by Tricentis Enterprise-grade test management with support for Agile workflows, real-time reporting, and seamless integration with automation frameworks and DevOps tools. These ten tools are among the most widely used, but countless others are chosen by teams worldwide based on their unique project needs, tech stacks, and testing goals. ✅ Real-World Scenario: How These Tools Work Together Imagine testing a banking app: Selenium for UI automation Postman to validate transaction APIs JMeter to simulate 1,000+ users Burp Suite to ensure data security By combining tools across layers, you ensure full test coverage, from functionality to performance and security. 💡Final Thought Tool selection isn’t about popularity, it’s about what fits your architecture, timelines, and team skills. Mastering these tools empowers you to deliver faster, test smarter, and build trust. Let tools amplify your impact, not define your limits. #SoftwareTesting #QATools #AutomationTesting #DevOps #Selenium #Postman #Testing2025 #DevSecOps #TestManagement #QAEngineering #Day6

50 Real-World Android Debugging ⚠️ ANRs (App Not Responding) 1. ANR = Main thread blocked for 5+ sec 2. Common cause = disk/network/db on main thread 3. Use StrictMode to detect main thread abuse 5. onClick → delay = bad UX, risk of ANR ⚠️ Crashes 6. Always read the last 5 lines of the crash log 7. NullPointerException = you trusted something that didn’t exist 9. Fatal Exception = unhandled or unrecoverable 10. Use try-catch only around risky code, not everything ⚠️ Lifecycle Bugs 11. Crash during rotation? You're leaking context or holding old views 13. Accessing Views after onDestroyView() = crash 14. Use viewLifecycleOwner in Fragment observers 15. Observe LiveData in onViewCreated(), not onCreate() ⚠️ Memory Leaks 16. Leak = long-lived reference to dead object (e.g., Activity) 17. Holding reference to Context = silent leak 18. Listeners not unregistered = strong ref leak 19. Anonymous inner classes hold outer class = leak 20. Use LeakCanary regularly, not just once ⚠️ Performance 21. App slow? First step = check Logcat + Systrace 22. Avoid deep view hierarchies — layout inflation is expensive 23. Watch for overdraw using Dev Options 24. Large bitmaps in ImageView = OOM crash 25. Use RecyclerView.setHasFixedSize(true) if dimensions won’t change ⚠️ Tools 26. Logcat = your best friend in war 27. Use adb shell dumpsys meminfo to check memory use 28. Profile with Android Studio Profiler before blaming Compose 29. Network slow? Inspect with Charles / OkHttp logging 30. Use adb shell am stack to debug backstack weirdness ⚠️ Coroutine / Flow Bugs 31. Not cancelling coroutines = memory leak 32. Crash in Flow? You probably missed catch 33. Wrong dispatcher = UI freeze or slow response 34. Missing debounce = too many requests fired 35. collectLatest cancels previous collector — use wisely ⚠️ UI Debugging 36. Invisible View? Check visibility, layout bounds, and constraints 37. ConstraintLayout bug? Turn on layout bounds 39. Text not showing? Font size overflow or invisible text color 40. Scroll issue? Wrap in NestedScrollView or debug scroll flags ⚠️ Testing & Release 41. Crash only in release? Probably Proguard/R8 42. Enable minifyEnabled true only after setting Proguard rules 43. Always test on at least 2 real devices 44. Debuggable builds hide some crashes 45. ANRs may not appear unless Play Console shows it ⚠️ Production Bugs 46. User says crash but no logs? Integrate Crashlytics 47. App crash at startup? Could be Application class issue 49. App not installing? Corrupted APK or conflicting signature 50. Permissions crash? Happens post-Android 6.0 — always check before use Bonus Flashcard #51 “Most bugs aren’t from bad code. They’re from bad assumptions.” Final Interview Hook “Say this: ‘Before touching the code, I always debug the flow and read the logs backward.’ That one sentence makes you sound senior." Let's Connect Imthiyas Alam

Life is Short – Use Testing Tools Smartly! In QA, tools are not just add-ons — they are our backbone for bug tracking, test planning, automation, CI/CD, and reporting. Here’s a complete toolbox every QA Engineer / Tester should know 👇 🔴 Bug & Defect Tracking Jira – Usage: Log & track bugs. Example: User sends money → deducted but not credited → tester logs in Jira for fix. Bugzilla / Mantis / YouTrack / Monday / ClickUp / Asana / Redmine / Trac – Usage: Report issues to devs. Example: “App crashes on Pay Bill” recorded for dev to resolve. 🟠 Test Planning & Management TestRail / Zephyr / Xray / QMetry / TestCollab – Usage: Write, organize & run test cases. Example: Tester creates case: “Add product → Apply coupon → Checkout → Verify discount.” 🟡 Automation Testing Selenium – Usage: Automate browser actions. Example: Auto-check login & balance 100 times instead of manual. Appium – Usage: Automate mobile apps. Example: Auto-test “Send money → Get SMS confirmation.” Playwright / Cypress / Katalon – Usage: Fast end-to-end testing. Example: Test “Signup with OTP” flow works on all browsers. 🟢 Automation Frameworks TestNG / JUnit / Pytest / Mocha / Gauge – Usage: Organize automation code. Example: Run regression suite for “Loan EMI calculation.” Cucumber – Usage: Write tests in plain English (BDD). Example: “Given user logs in → When they transfer money → Then receipt is shown.” 🔵 CI/CD (Continuous Testing) Jenkins / GitLab / Bamboo / CircleCI / TeamCity / CodePipeline – Usage: Run tests automatically after updates. Example: After new release, Jenkins runs smoke tests: login, balance check, transfer. 🟣 Test Execution & Reporting BrowserStack / LambdaTest / HeadSpin – Usage: Test across devices & locations. Example: Tester checks payment page on iPhone + Samsung. Allure / Extent Reports – Usage: Generate reports for stakeholders. Example: Share dashboard showing passed/failed test cases. ✅ Key Takeaway: The right tool at the right stage saves time, effort, and cost — while ensuring quality at speed. 🔗 Which of these tools do you use daily in your QA journey? Let’s share best practices! #QA #SoftwareTesting #Automation #BugTracking #TestManagement #CI/CD #QualityAssurance

If you want to break into Cloud in 2025 - start by building these 3 real-world, cloud-native projects from the ground up. (also one GitHub repo you should definitely bookmark ) Most people sign up for free credits from cloud providers… but it's crucial to put them to meaningful use. Here’s your chance to stand out. 1. Full-Stack AWS CI/CD Pipeline Key components: → Infrastructure with Terraform (EC2, VPC, ECR) → Containerized applications with Docker → Automated deployments via GitHub Actions → EC2/Elastic Beanstalk deployment patterns → ECR integration + CloudWatch monitoring Tutorial Link: https://lnkd.in/d_5iFvqi Why this works: It shows the complete DevOps lifecycle - from infrastructure to monitoring. That's exactly what hiring managers look for. ------- 2. Kubernetes Delivery Pipeline on GCP Core elements: → Node.js/React application architecture → Container registry management (GCR) → GCP infrastructure with Terraform → GKE deployment patterns → GitHub Actions automation → Helm/kubectl orchestration Tutorial Link: https://lnkd.in/d3DN_dXS Why this works: You're showcasing containerized app deployment on managed Kubernetes - using enterprise-grade tools and patterns. ------- 3. Modern IaC with Pulumi (Azure/GCP) Project highlights: → Infrastructure as Code using Pulumi + JavaScript → CI/CD automation with GitHub Actions → Modern app deployment (React.js/Node.js) → Container orchestration with Kubernetes → Cloud-native service integration Tutorial Link: https://lnkd.in/dpFVjgSS Why this works: Pulumi demonstrates advanced IaC with actual programming logic - not just static YAML. That's what separates senior engineers from beginners. ------- Github Link with more such projects: https://lnkd.in/dh7WhvGU The Bottom Line, focus on: → Cloud-native architectural thinking → End-to-end deployment automation → Real-world GitOps & containerization → Production-ready operational skills Build projects that prove you understand how to deliver, deploy, and operate in cloud environments. • • • Found this useful? 🔔 Follow me (Vishakha Sadhwani) for more Cloud & DevOps insights ♻️ Share so others can learn as well

QA Using DevTools Tab by Tab Breakdown If you’re in QA and still just hitting F12 and praying… this one's for you. So what do all these tabs in DevTools actually do? 🔹 Elements: “Why is this button off by 3 pixels?”: Right-click ➝ Inspect. Edit HTML/CSS on the fly. Use Force State to simulate :hover, :focus, etc. Validate ARIA/accessibility tags. 💡 Bonus: Use $0 in Console to reference selected element. 🟡 Console: “Everything looks fine but nothing works”: Open Console ➝ Look for red errors. Run commands like localStorage.getItem(). Use console.log() for custom test debugging. 💡 If Console is clean and the UI is broken, it’s probably async sadness. 🟠 Sources: “The logic’s broken, but no one believes you”: Set breakpoints in JS files. Trigger the action ➝ Execution pauses. Step through with ⏭ or ⬇. Watch variables in Scope. 💡 Use conditional breakpoints to isolate specific edge cases. 🔴 Network: “The frontend says it worked. The backend disagrees.” Click Preserve Log. Trigger your test case. Filter by XHR ➝ Inspect request/response. Check payloads, headers, status codes. 💡 Right-click ➝ “Copy as cURL” to reproduce the call in Postman. 🟢 Performance: “It’s slow” is not a bug. But you can prove it: Click Record ➝ Reproduce the issue ➝ Stop. Look for long tasks, layout shifts, CPU spikes. Zoom in and analyze the flame chart. 💡 Low FPS = “Dev, go fix the jank”. 🔵 Memory: “Why does the app slow down after 4 clicks?”: Take Heap Snapshot. Interact with the app. Take another ➝ Compare. Look for DOM nodes or listeners not getting released. 💡 Manual GC triggers are your friend. 🟣 Application: “LocalStorage is clean” said every liar ever: Inspect localStorage, sessionStorage, cookies. Manually edit tokens, simulate invalid sessions. Use “Clear Storage” to test fresh state. 💡 Perfect for auth & role-based access testing. 🟤 Security: “Is our staging cert valid?"...LMAO: Check cert expiration, issuer, protocol (TLS 1.2+). Spot mixed content or invalid HTTPS. 💡 Your pen tester will love you if you catch this first. ⚪ Lighthouse: “Dev, Google says your code is trash”: Run audit ➝ Choose performance/accessibility/SEO. Review failing items ➝ Copy results to Jira. 💡 Always run in Incognito for clean results. ⚫ Recorder: “Manual test? Nah, let me just click ‘Record’”: Start Recording ➝ Click through the flow. Export as Puppeteer/JSON. 💡 Fast way to hand over repro steps to Devs or Automation. 🧊 Coverage: “Are we really using this 2MB of JS?”: Start recording. Interact with app ➝ Stop. See what code was actually used vs dead weight. 💡 Use this before you argue about page load size. 🚨 Issues: “Here’s a free list of bugs you can claim”: Open tab ➝ Read warnings. Accessibility, mixed content, security headers. 💡 Copy-paste to Jira. Pretend you caught it manually. Drop your favorite underrated DevTools tab below. #QA #QualityAssurance #devtools #softwaretesting #frontend #testlikeapro