Continuous Feedback
CF is a new development practice that completes the DevOps loop enabling shorter feedback iterations for developers.
Continuous over Manual
Continuous feedback needs to happen automatically, as the developer works, and cannot rely on manual processes or dashboard checks
Insights over raw data
Raw observability takes too much effort to translate into something practical. An individual trace is not useful but analysis can reveal critical actionable insights
Focus on code not services
Traditional APMs focus on the infrastructure and APIS, whereas CF is focused on developers and their code and code changes.
Learn more about Continuous Feedback
We’ve curated a list of blog posts about Continuous Feedback concepts and practices. We also published a Coursera course.
Why is the Static Analysis an anti-pattern?
How Indexing Enhances Query Performance
4 Observability functionality in Spring AI (Milestone 2)
Practice
Check out the CF repo for resources and links for free libraries and tools you can use to get started with Continuous Feedback.
Spread the word
Help promote Continuous Feedback in your company or local dev community
