Identifying bottlenecks and performance issues early reduces the need for costly rollbacks. This article explores progressive delivery, its advantages over traditional methods, and practical implementation techniques, emphasizing the importance of observability. While traditional methods like continuous integration and continuous delivery speed up development, they lack safeguards for smooth deployment. A/B testing allows the testing of variables on different groups of data and monitoring which is the preferred method. Turning off a feature flag does not require rolling back the entire canary deployment so even if it needs to be turned off, the rest of the features can still roll out to production.

It provides safeguards and control levers that mitigate the risks of continuously pushing new code to a production environment. It involves gradually releasing software changes to subsets of users and environments in a controlled manner. Monitoring and optimizing software performance in the production environment, ensuring a smooth user experience.

• Since there’s less risk exposure, progressive delivery enables you to update more frequently and with smaller batches.
• This makes sense, as they are responsible for building and testing it.
• For example, canary and Blue/Green deployment patterns require identical production-like environments.
• You might first target 1% of your traffic, then 5%, then 25%, carefully validating the stability and performance at each step before proceeding.
• The unfinished features are hidden (toggled) so they do not appear in the user interface.

Feature flags give you fine-grained control over your deployments, in many cases, removing the need to change config files, do blue-green deployments, and roll back entire releases. By requiring https://scivast.com/articles/radar-measurement-techniques-applications-innovations/ features to meet various performance criteria before moving onto the next ring, Microsoft dramatically reduces the risks of a launch. Better yet, they want mechanisms for delivering the right software changes to the right customers at the right time. Nevertheless, the idea of shipping code to a production environment multiple times a day—in some cases, unfinished code—exceeds many companies’ risk tolerance.

Faster Feedback Loops

A routing and traffic management layer is central to any progressive delivery implementation. Since there’s less risk exposure, progressive delivery enables you to update more frequently and with smaller batches. When deploying in an all-or-nothing way, teams naturally become more risk-averse, wanting to bundle lots of testing into each major release.

A/B Testing

It comes with its own set of hurdles to overcome, which teams should know before starting the approach. In fault injection testing, you deliberately introduce errors to see if your system can handle and recover. In addition to deploying new code, these enable you to toggle different product functionalities on or off for specific traffic buckets. For example, canary and Blue/Green deployment patterns require https://www.troposproject.org/methodology-for-adapting/key-advantages-of-adapting-agile-software/ identical production-like environments. Depending on your business or product specifications, it could be an ingress controller, service mesh, load balancer, CDN, or other proxy layer.

• This limits potential downtime, crashes, data loss, or revenue impact compared to a total outage.
• Organizations that employ Progressive Delivery ship code faster, reduce risk, and continuously improve the customer experience.
• Progressive delivery allows companies to deploy features selectively in specific regions, optimizing software performance and adapting to regional preferences.
• Although progressive delivery is often billed as a cutting-edge concept, the idea has been around for quite some time—it’s just gained more mainstream traction lately.
• Product managers can assess performance, identify bugs, and make necessary adjustments before a full-scale release, ensuring a smoother experience for users.
• In fault injection testing, you deliberately introduce errors to see if your system can handle and recover.

With traditional software delivery, new updates get infrequently bundled into massive, monolithic releases. Before its more modern counterpart overruled it, this classic “big bang” deployment approach reigned supreme for decades. Understanding how progressive delivery differs from traditional shipping software is crucial for truly grasping its value. It wasn’t until the mid-2010s that the term “progressive delivery” was coined and started gaining popularity as a formalized strategy and set of principles.

In this scenario, progressive delegation entails giving PMs the ability to control the release experience. After all, compared to developers, PMs are closer to the end-users for whom the new functionality is designed. But once the feature has been tested, it makes more sense for a product manager (PM), for example, to control the process of launching that feature. This makes sense, as they are responsible for building and testing it.

Ensure you align all your key stakeholders—developers, product teams, operations, engineers, QA, and leadership. Here are some best practices to set yourself—and your business—up for success. It’s a profoundly impactful practice when teams fully commit to the mindset and principles. Despite these challenges, progressive delivery has improved deployment reliability, velocity, and quality metrics when carried out thoughtfully.