Collaborative Testing Environments

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Summary

Collaborative-testing-environments are shared digital spaces where multiple team members, such as developers and testers, work together to test software, identify issues, and improve quality throughout the development process. These environments make it easier for teams to communicate, debug, and maintain testing workflows without waiting for handovers or competing for limited resources.

  • Share responsibility: Encourage both developers and testers to participate in test creation, maintenance, and problem-solving so that quality becomes a team-wide commitment.
  • Provide self-serve options: Set up tools and workflows that enable team members to quickly spin up or delete their own testing environments, reducing delays and improving project delivery times.
  • Start early: Involve testers in planning and review from the beginning of a project to minimize bottlenecks and ensure smoother collaboration throughout the sprint.
Summarized by AI based on LinkedIn member posts
  • View profile for Alessandra Moreira

    Director of Software Engineering | Quality Strategist | Podcast Co-Host

    1,712 followers

    Selenium has been the gold standard for automated browser testing for good reasons: 🔹It's open-source and free 🔹 It has multi-browser and multi-platform support 🔹 A robust community backs it. But here’s the catch, it has: 🔹 Slower execution than modern tools 🔹 No built-in reporting or test management 🔹 A steep learning curve, especially for engineers outside testing. That last point is critical. Here is why: Recently, we discussed a report at work: The State of Front End Development by The House of Software. One stat stood out: Cypress ranked second. Playwright came in fifth. Selenium? Nowhere in the top 10. At first, this was surprising. Selenium has been a staple in browser testing for years. So why the low ranking? The answer was in the survey details. The respondents weren’t test professionals—they were 6,000 developers. These were front-end engineers focusing on unit and integration testing in modern workflows. While tools like Jest unsurprisingly topped the list, Playwright and Cypres' high rankings also confirmed what I’ve observed firsthand: their developer-friendly design makes them better suited to modern teams and workflows across the spectrum of the team, not just for testers. In my experience, here are some of the reasons why these tools are gaining traction amongst engineers: 🔹 Streamlined setup makes them easy to adopt. 🔹 Seamless CI/CD integration aligns with modern workflows. 🔹 Intuitive design and built-in debugging tools reduce friction for new users. On one project, I faced a common challenge: too many engineers, too few testers, too little time. Our solution? Make quality a shared responsibility across the team, including engineers on debugging and investigation of automation failures. Here’s what worked: 🔹 Lowering the Learning Curve: Playwright simplified onboarding for engineers by reducing friction. Its seamless integration with modern CI/CD pipelines and built-in features—such as tracing, screenshots, and debugging tools—eliminated the need for external libraries or frameworks 🔹 Collaborative Test Maintenance: While testers handled test creation during the sprint, maintaining those tests became a team-wide effort, fostering a culture of shared responsibility and collaboration. 🔹 Engineers took the lead in investigating E2E test automation failures: instead of waiting on testers, engineers analyzed issues with the tests, identified bugs, and resolved them. Sometimes, it’s not about the "best" tool—it’s about the tool your team will actually use. What has your experience been with getting engineers involved in the automation of checks within your teams?

  • View profile for Palak Bhawsar

    Cloud Platform Engineer | AWS ABW Grant Alumni Advisor re:Invent 2024 | 3x AWS Certified | 1x Azure Certified | Terraform Certified | Observability & Automation | Technical Blogger

    19,546 followers

    A problem I solved with Terraform Workspaces that saved us days of delays 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: While working with Data engineering team on one of the projects, I noticed a major issue. Testers in the team had to wait for days to test their ETL jobs because they all shared the same workspace. If one person was testing, others had to wait, causing delayed testing, delayed deployments, and late go-lives. So, I built a self-serve solution using a Jenkins parameterized pipeline. This allowed testers to create and delete their own testing environments anytime. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: Set up a Jenkins pipeline with two options: ✅ 𝗖𝗥𝗘𝗔𝗧𝗘: Enter workspace name → A new test environment is created ✅ 𝗗𝗘𝗦𝗧𝗥𝗢𝗬: Enter workspace name → The environment is deleted 𝗥𝗲𝘀𝘂𝗹𝘁𝘀: ✅ Faster testing ✅ Faster deployment ✅ Projects delivered on time If any tester forgot to delete the workspace after testing, to save infra cost, I added a cleanup job that removes unused workspaces. I implemented a scheduled job which checks the last updated date of the state file and compares it with today’s date, and if it’s not updated in the last 7 days, I delete it using a bash script with the workspace destroy command. 𝗣𝗦: What’s a small change you have made that had a big impact? Let’s share and learn from each other!

  • View profile for Shinza Gul

    7K+ | SQA Engineer | Manual Testing | API Testing | Mobile App Testing | Agile | JIRA | Performance Testing ✨

    7,825 followers

    👩💻 Dev finishes on Day 8. Sprint ends on Day 10. QA silently asks: “So… high-quality delivery in 2 days?” 😅 🎯 Let’s be real: Testing delays usually don’t come from poor planning — they come from late handovers. So, how do we fix it? 🔄 Collaborative solutions: ✔️ Involve QA from day one — adopt a shift-left mindset ✔️ Share early builds so QA can prep ahead ✔️ Keep communication tight with daily Dev-QA check-ins ✔️ Mark tasks as “done” only when both Dev and QA sign off ✔️ Treat sprint goals as shared goals, not isolated efforts 🤝 Quality isn’t a phase. It’s a shared responsibility. Start early. Test smart. Deliver with confidence. 💥 #SoftwareQuality #AgileMindset #TeamQA #SprintSuccess #DevAndQA #TestEarly #ShiftLeftTesting #QualityFirst #BuildBetter #QALife

  • View profile for Arjun Iyer

    CEO & Co-founder @ Signadot | Ship Microservices & Agents 10x faster

    11,707 followers

    Been seeing a ton of demand for ephemeral environments lately—especially for teams pushing a "shift left" testing model in Microservices. The concept is simple but powerful: test code changes from one or more PRs, in isolation before merging. There are a lot of ways to do this, but I’m seeing two main approaches out there: 1) Spin up a mini-version of your app in a "Box" (think Minikube, Docker Compose, or even a Kubernetes namespace). Pros: simple to implement, works well for smaller teams Cons: could get expensive and hard to manage as the app complexity grows 2) The newer approach, used by companies like Uber and Lyft, where multiple versions of services co-exist in a single environment and dynamic traffic routing is used to reach services "under test." Pros: scalable and better developer experience Cons: complex to implement I've linked some references in the comments below. Curious—which approach are you using? #ephemeralenvironments #kubernetes #microservices #shiftlefttesting #developerexperience

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