Push it or not Push it - How Often Should We Release Software?

It’s the end of the sprint. 

The team gathers in the meeting room, their eyes glued to the digital countdown clock on the screen. The “Go Live” moment is just around the corner. Developers nervously sip their coffee, project managers go through their checklists one last time, and the tension in the room is almost palpable.

“We’re ready for release,” someone finally declares, but a silent question hangs in the air: are we really?

In the world of software development, deciding how often to release is no simple task. We often hear phrases like "release as fast as you can" or "release daily." But behind every release, there’s a story of balancing speed, quality, and the unique demands of each project. In this article, we explore the nuances of release frequency and why it’s not a one-size-fits-all scenario.

In the fast-paced world of software development, we often hear advice like "release as fast as you can" or even "release daily." 

While these guidelines can work in some scenarios, they don't apply universally. 

As developers and IT professionals, we need to consider various factors before deciding on a release strategy. 

In this article, I want to explore the nuances of determining how often we should release software, taking into account different project types, company structures, and other influencing factors.

Understanding the Project and Product Context

When it comes to release frequency, there is no one-size-fits-all solution. The right cadence depends on the type of product, the field in which it operates, and its criticality. 

For example, in industries like banking, healthcare, or aerospace, software often needs to meet stringent standards for reliability and security. This makes the final step before going live, the testing phase longer, more robust, and filled with extensive regression checks.

In contrast, for web-based applications or internal tools, smaller updates are often more manageable and beneficial. These types of products can handle more frequent, incremental releases without the same level of risk.

Sprint Length vs. Release Cadence

In Agile methodologies, two-week sprints are a common practice, yet this doesn’t mean that releases must follow the same cycle. Some teams might complete a feature or fix within a sprint but wait to release it to production, opting instead for weekly or bi-weekly releases. 

It is important to note that sprint cycles do not always dictate release cycles. Flexibility within your sprint cadence is key to fitting the needs of your product and your team's capacity.

The "Release Fast, Release Often" Approach

Many advocate for the "release fast, release often" mantra. 

In some contexts, like SaaS (Software as a Service) or startups, this approach is highly effective. Rapid releases allow for quick iterations, constant customer feedback, and the ability to quickly address issues as they arise. However, this pace isn't feasible for all projects.

Several bottlenecks can limit how often releases can occur. Organizational processes, regulatory requirements, the complexity of the system, and even the criticality of the application itself can slow down release cycles. 

A banking application, for instance, must ensure a high level of reliability and data integrity, making daily releases impractical.

Testing and Quality Assurance Considerations

The time invested in testing, validation, and regression tests varies greatly depending on the project’s criticality. In some domains, such as finance or healthcare, even minor bugs can have significant consequences, requiring extensive testing to avoid failures.

However, testing is just one part of the release preparation. A thorough understanding of other preparation tasks is essential to fully grasp what determines release cadence.

The Implementation-to-Release Preparation Ratio

One of the most crucial aspects of deciding release frequency is understanding the ratio between the time spent on implementation and preparation. While implementation focuses on building new features or fixes, the preparation phase involves more than just testing.

Several factors during preparation can significantly affect the release cycle:

• Merging Strategy: The way you handle merging in your Git workflow can make the release process easier or more cumbersome. Whether you use feature branches, release branches, or hotfix branches, the merging strategy must be well-defined and coordinated to avoid conflicts that could delay the release.
• Branching Strategy: Your Git branching strategy also plays a role in how smooth the preparation phase is. More complex strategies with multiple branches (e.g., master, development, feature, hotfix) can introduce bottlenecks, especially if not all team members are aligned on when and how to merge their work.
• Documentation: Preparing release notes, updating technical documentation, or preparing user-facing documentation all add to the workload. Heavier documentation requirements can stretch the preparation time and influence how often releases can realistically occur.

The Impact on Implementation Focus: When developers need to dedicate time to these preparation tasks—managing merges, coordinating branches, assisting with documentation, and sometimes even participating in testing—they lose focus on actual implementation during sprints. This shift of focus can slow down the overall progress of feature development, impacting the project's velocity and potentially leading to a poorer ratio between implementation and preparation time.

By considering these elements alongside testing, you gain a more comprehensive view of what the preparation phase truly involves. Improving the release process or reducing its overhead can free developers to focus more on implementation, resulting in a healthier project pace.

Decision Factors for Release Cadence

When setting a release cadence, consider the following factors:

• Product Complexity: More complex products with interconnected modules require thorough testing and release preparation, naturally leading to longer release cycles.
• Field Sensitivity: Critical fields like finance, healthcare, or embedded systems have a lower tolerance for errors, necessitating longer testing and validation periods.
• Team Maturity: More experienced teams with well-established processes can handle quicker release cycles, while newer teams may need more time to ensure quality.
• Preparation Overhead: The level of effort required for merging, branching, documentation, and testing directly impacts how often you can release. A heavier preparation phase means a longer gap between releases.
• Customer Expectations: Customer-facing applications might need regular feature updates to maintain engagement, while back-end systems or internal tools might not face the same pressure.

Hotfixes: Keeping the Door Open

While this article focuses on production releases of features, it's crucial to always leave the door open for hotfixes. Hotfixes address urgent bugs that emerge in production, often ones that cause significant issues or are considered showstoppers. Unlike feature releases, which follow a planned cadence, hotfixes need to be released as soon as they’re ready, regardless of the normal release schedule.

The speed at which a hotfix is released depends on the severity and priority of the bug. Sometimes a critical bug could necessitate an immediate release within hours. Therefore, even if your release cadence for features is slower, having a separate process for hotfixes is vital to maintain system stability and customer trust.

Conclusion: The One-Size-Does-Not-Fit-All Approach

Ultimately, while the advice to "release fast and often" is valuable, it must be adapted to each project's unique requirements, the team's capabilities, and the product's criticality. Release frequency should be determined not only by how fast we can develop features but also by how much time is needed for thorough preparation, testing, documentation, and other organizational tasks.

A complex and heavy preparation phase means developers spend less time focusing on implementation, which can slow down progress. By understanding the context in which your project operates, optimizing the release process, and reducing unnecessary overhead, you can set a release cadence that strikes the right balance between agility and stability.

In the end, it's not about how often you release, but how thoughtfully you manage the entire release process.