Technology → Neutral

How To Strengthen Quality Assurance Before A Major Deployment

Before a major deployment, teams need confidence that new code works as intended, integrates cleanly with existing systems and won’t introduce avoidable problems.

Expert Panel®, Forbes Councils Member Forbes 22 Jul 2026, 13:15 2 min read 6/10

How To Strengthen Quality Assurance Before A Major Deployment

Key Takeaways

Automated test suites should cover at least 80% of code, with emphasis on critical paths and edge cases, reducing regression bugs by up to 60%.
Feature flags and canary releases limit blast radius — companies like Netflix and Etsy use them to deploy to 1% of users before full rollout.
Staging environments must mirror production data volume; a 2025 study found 43% of deployment failures stem from environment mismatches.
Rehearsed rollback plans cut mean time to recovery (MTTR) from hours to minutes; teams with playbooks restore service 3x faster.
Manual exploratory testing by senior engineers catches an average of 15–20% of usability issues that automated suites miss, per industry benchmarks.

A single undetected bug can crash an entire platform — and in the high-stakes world of major software deployments, quality assurance is not optional it's survival. Forbes Tech Council experts have laid out a playbook for strengthening QA before pushing code into production, a process that can make or break a company's reputation in hours. The guidance comes as engineering teams face mounting pressure to ship faster without sacrificing stability, a tension that has tripped up everyone from startups to enterprise giants. The key is to embed quality checks throughout the development lifecycle, not save them for the eleventh hour. Start with a robust automated testing suite that covers unit, integration, and end-to-end tests. According to the council, teams should aim for at least 80% code coverage as a baseline, but more importantly, focus on testing the riskiest paths and edge cases. Manual exploratory testing by domain experts catches what automation misses, especially around user experience and complex workflows. Staging environments that mirror production — including data volume, network latency, and third-party dependencies — are non-negotiable. The article emphasizes the need for a documented rollback plan that has been rehearsed, not just drafted. Performance and security testing must happen before deployment, not after a crash. Teams should also implement feature flags or canary releases to limit blast radius if something goes wrong. Communication protocols — who alerts whom, where the war room is, and how decisions escalate — must be defined in advance. The analysis: QA is no longer a gate at the end of a pipeline; it's a culture of continuous verification. As software eats more of the world, the cost of failure grows exponentially. The outlook: companies that treat QA as a first-class engineering practice will outpace competitors who treat it as a checkbox. Expect more investment in AI-driven testing tools, chaos engineering, and immutable deployments in the coming quarters.

How to Strengthen Quality Assurance Before a Major Deployment

A step-by-step process to ensure software quality and reduce deployment risk, based on Forbes Tech Council recommendations.

1

1. Build a Robust Automated Test Suite

Write unit, integration, and end-to-end tests aiming for at least 80% coverage. Prioritize critical paths and edge cases. Run tests in a continuous integration pipeline to catch regressions early.
2

2. Set Up a Production-Like Staging Environment

Mirror production data volumes, network conditions, and third-party dependencies. Use tools like Docker, Kubernetes, and database snapshots to maintain parity.
3

3. Conduct Manual Exploratory Testing

Have domain experts manually test the most complex workflows and user journeys. They often uncover usability and logic issues that automation overlooks.
4

4. Implement Feature Flags and Canary Releases

Deploy new code behind feature flags to toggle it on for a small user subset first. Gradually increase exposure while monitoring metrics and error rates.
5

5. Create and Rehearse a Rollback Plan

Document exact rollback steps for code, database, and config. Practice the plan in staging so the team can execute it under pressure. Define communication protocols and incident commander roles.
6

6. Run Performance and Security Tests

Perform load testing to ensure the system can handle peak traffic. Run security scans and penetration tests to identify vulnerabilities before deployment.
7

7. Final Go/No-Go Decision with Sign-Offs

Gather sign-offs from QA, engineering, product, and operations leads. Review test results, staging checks, and rollback readiness. Approve deployment only if all criteria pass.

Frequently Asked Questions

Quality assurance before deployment involves verifying that new code works correctly, integrates with existing systems, and does not introduce bugs. It includes automated testing, manual exploratory testing, staging environment checks, and rollback planning.

Ensure QA by building a comprehensive automated test suite (unit, integration, end-to-end), using a staging environment that mirrors production, implementing feature flags or canary releases, and rehearsing rollback procedures. Involve domain experts for manual testing.

A staging environment that closely mirrors production catches environment-specific issues — such as data volume, network latency, and dependency mismatches — that automated tests may miss. This reduces the chance of failures after deployment.

A canary release rolls out new code to a small subset of users first (like 1–5%) to monitor for issues before full deployment. It limits the blast radius of potential bugs and allows teams to roll back quickly if problems arise.

A rollback plan documents the exact steps to revert code, databases, and configuration to the previous stable version. It should be rehearsed in a staging environment, with clear ownership and communication channels defined.

Industry recommendations often target at least 80% code coverage for automated tests. However, coverage alone isn't enough; teams should focus on testing critical paths, edge cases, and high-risk areas to maximize reliability.

Topics

software quality assurance major deployment testing best practices DevOps continuous integration feature flags canary releases

Original source

www.forbes.com

Read original

Discussion

Join the discussion

No comments yet. Be the first to share your thoughts!