As a consequence of progressive delivery, software distribution in enterprises is experiencing a sea shift. They can swiftly iterate by releasing code to just a small fraction of their traffic, and they can increase their confidence in product decisions by testing hypotheses with real customers.
The Agility of Progressive Deployment
Agile and continuous delivery in progressive deployment used to need that updates be made and sent out to all users promptly. In order to take use of progressive delivery’s cloud-native features, a new approach is required. Using flags representing product features, it ensures both the product’s quality and its performance in manufacturing.
Progressive delivery tactics are used by businesses to roll out updates to their user base in stages
This is done as an alternative to rolling out updates to all users at once, such as new features or pieces of code. To keep the release process under control and gain insights, it prioritises feature management and the release of updates via slow rollouts, focused feature flags, A/B testing, A/B/n tests, and so on.
Reduce uncertainty, make data-driven decisions, and speed up the delivery of the right experience to end consumers with the help of this approach for product and engineering teams. Customers utilise this to get assurance in the products they’re buying before making significant investments, which saves money by preventing the need for costly rollbacks or hotfixes. In the end, a company’s ability to engage customers with certain services or products is what promotes customer retention and increased revenue.
At the core of this best practise is a platform that gives teams control over the delivery of new features to production, keeps deployment and feature enablement distinct, and allows them to test the impact of these changes with real users in production. Using feature experiments and feature flags, development teams can be sure they are making the most impactful products and features possible, long before losing money on wasted pipeline expenditures. This is because they have confidence that what they are doing will have a significant influence on the market.
How does the slow release technique work?
It’s no longer enough to just release small updates rapidly using techniques like continuous deployment. Teams may successfully develop better software, products, and growth at a faster pace as they go from a foundational understanding to an awareness of how to circumvent common pitfalls in methodology, infrastructure, and overall approach.
The following is an example of a progressive feature rollout
Teams may increase output while decreasing vulnerability thanks to feature-by-feature rollouts, which may include canary releases, A/B testing, and other techniques. In this way, it may be of use.
Indicator flags With the use of feature flags, new capabilities may be introduced gradually over time. This facilitates the beta testing of new features with a select group of users prior to their release to the general public. This method may be used to identify issues before they have a wider impact.
Canary evaluation
Canary deployment is another important part of Progressive Delivery since it enables testing with a portion of the users in a live environment.
Conclusion
A/B testing allows for the exploration and development of features and the user experience. Using the results of user testing on several iterations of a feature, development teams may determine which version of the product is the most successful.