[Digma] Code Ownership in the Post Continuous-deployment Era
The future of observability and feedback tools is promising. OpenTelemetry, from a technical perspective, is playing a significant role in democratizing observability data and enabling the development of ecosystem tools and open-source solutions to meet developers' needs in incorporating feedback into their design processes.
Developers are increasingly taking more ownership and responsibility for various stages of the development pipeline. This increased involvement makes them more receptive to receiving metrics and information that can support their ownership and improve their code.
Continuous deployment, feature flagging tools, and pipeline automation from code to production were crucial initial steps to enable the collection of meaningful feedback. With these foundational aspects in place, many organizations are now considering the next step, which involves automating the flow of information in the opposite direction—from production back to the code.
By establishing a feedback loop that connects the production environment with the development process, developers can gather insights on how their code performs in the real world. This feedback loop enables them to validate assumptions, identify issues, and continuously improve their code. It allows developers to make informed decisions based on real-world usage, performance data, and error reports.
The future will likely see further advancements in tools and technologies that facilitate this bidirectional flow of information. Developers will have access to more comprehensive and real-time feedback, enabling them to iterate and optimize their code continuously.
Ultimately, the goal is not just to release code faster but to release better code that aligns with user needs, performs well, and minimizes technical debt. By embracing observability and incorporating feedback into the development process, organizations can achieve this goal and deliver high-quality software that meets user expectations.
Read more in Better Programming
