⚠️ The most dangerous bugs don’t crash apps. They corrupt data. Here’s why Database Testing is critical (and ignored too often) 🧵👇 - Thread -

Numbers don’t lie but they’re easier to understand when you can see them. Visualize performance. Spot bottlenecks. Build faster.

Yes. Unless you enjoy debugging in production at 3 AM.

You are solving the wrong problem.

Be phenomenal or be Forgotten.

Load test day. Expected 5k users. Crashed at 800. After tuning & sleepless debugging, it hit 5k smoothly. No one clapped and that’s the beauty of QA.

The costliest bug is the one you never tested for.

🎬 Ever wonder how Netflix runs on 260M+ users worldwide without crashing every weekend? The secret: a culture of testing. 🧵👇 -Thread-

Where does an #SDET career go next? That’s the question David Ingraham (Senior SDET, Matium | Cypress Ambassador) will explore in his #Testflix 2025 talk: 𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐀𝐡𝐞𝐚𝐝: 𝐒𝐃𝐄𝐓 𝐂𝐚𝐫𝐞𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐞𝐬𝐬𝐢𝐨𝐧

https://t.co/LHhs9HeCXz

Are you on the right path?

📉 “One broken API = broken business. Testing isn’t optional.

Manual testing every release: 😩 Jenkins pipeline with automated tests: 😎 This is why CI/CD is a game-changer for QA & Dev teams. All green = happy deploy 🚀

Too many people build for money, not to solve problems. Disagree with me 👇

Write tests, break builds, ship quality.

Developers: Do you think about the quality of your product before pushing to production? If yes, how do you ensure it?

⚡ Code bugs break features. Database bugs break businesses. #DatabaseTesting #SoftwareTesting #SDET #DataQuality #DevCommunity #Database

7/ 💡 Bottom line: Database testing isn’t just QA. It’s: Protecting customers Safeguarding revenue Defending trust You can redeploy code. You can’t redeploy data.

6/ 🛡️ Security Is Data-First Most breaches don’t come from the UI. They come from: Weak DB permissions Untested injection vulnerabilities Misconfigured backups 👉 Testing security at the DB level protects the real crown jewels: data.

5/ ⏱️ Performance at Scale That query you tested on 1,000 rows? It dies at 10 million. Poor indexing = slow user experience Bad joins = timeouts Unoptimized schema = scaling nightmare 👉 Database testing is how you prevent “works in dev, fails in prod.”

4/ 🚨 Regulatory & Legal Risks In healthcare, fintech, or government systems… One corrupted record = lawsuits One lost transaction = fines One breach = years of reputation damage 👉 QA failures in DBs = real-world consequences.