Growing consumer demands are making companies change how they develop their products and services. You cannot offer, let alone release, a standalone device in this hyperconnected world without customers wanting more updates and faster delivery. In this article at DevOps, Richard Whitehead shares how combining maintenance and QA teams into an SRE team can help companies achieve this seemingly impossible feat.
Visibility for the SRE Team
For faster updates and feature modification, you need to have a proactive team. But do you know how to bring more visibility into software quality assurance? The site reliability engineering team (SRE) can leverage the infrastructure-as-code (IaC) process along with AIOps. This helps them monitor the whole development scenario from the first code to the first public product launch.
When you use AI for data management, it becomes easier for the SRE teammates to detect and address bugs in the product. They do not have to struggle to discover issues after the product is deployed. While the team searches for possible causes, AIOps provides quick resolutions. When you add AI monitoring features into the software quality assurance process, the tool learns and collaborates with testers for better results. This is how you can bring more visibility into the software quality assurance process.
Whitehead provides a perfect example. “If…you’re monitoring with an adaptive thresholding algorithm, you can let the algorithm retrain and learn the new behavior instead of relying on the DevOps team to communicate the expected change in performance to the QA team.”
How to Combine
- You can get rid of isolated work efforts by introducing flow or system thinking. This would improve the overall SDLC practice. You do not have to worry about handover gaps between workers of two different shifts.
- When you merge both the teams into an SRE team, you remove the time it takes to get feedback from various departments. Since you have all the cross-functional specialists in a single unit, the feedback transmission and integration are much faster.
- Your DevOps crew sends software as well as lessons learned from past mistakes to the SRE team. This enables the staff to be on the lookout for risks and explore more opportunities for improvement.
Adding AI monitoring capabilities to your software quality assurance steps allows for a better product development cycle. The whole team gets the bigger picture rather than function-specific insights.
To view the original article in full, visit the following link: https://devops.com/why-qa-and-monitoring-need-to-merge/