
Scrum projects often prioritize the delivery of business value through frequent, incremental product releases. However, there are times when development teams must shift focus from feature delivery to technical infrastructure work — such as platform upgrades or technology refreshes. These activities may not appear to add direct value to end-users in the short term, but they are essential to sustaining the product’s long-term viability and performance.
Balancing these upgrades with ongoing product development can be challenging. This post explores how Scrum teams can effectively plan, track, and execute tech refreshes and platform upgrades without compromising delivery goals or team morale.
Technical upgrades can involve:
Migrating to a newer version of an operating system or database
Moving to a modern cloud infrastructure (e.g., AWS, Azure)
Replacing deprecated APIs or SDKs
Updating frameworks, libraries, or CI/CD tools
Decommissioning legacy environments
Without timely upgrades, products may face:
Security vulnerabilities
Performance degradation
Compatibility issues
Higher maintenance costs
Lack of vendor support
These risks make tech refreshes not just optional, but necessary.
Handling upgrades in Scrum introduces unique challenges:
Non-functional nature: Stakeholders may not immediately see value.
Invisible effort: Work may go unnoticed if not communicated clearly.
Interruptions to velocity: Upgrades can reduce capacity for feature work.
Uncertainty: Lack of clear DoD (Definition of Done) for upgrade-related tasks.
Scrum teams must manage these hurdles while keeping the product roadmap on track.
One of the best ways to handle upgrades in Scrum is to treat them as first-class citizens in the product backlog. Rather than creating separate streams, all technical work should be:
Estimated like any other story
Prioritized based on risk, cost, and impact
Tracked with acceptance criteria and completion metrics
Product Owners should collaborate closely with the team to understand the technical debt implications and plan upgrades as part of the release strategy.
Want to learn more about backlog refinement techniques? Our Certified Scrum Master training includes detailed modules on managing non-functional requirements and technical work.
If the team is planning a major version upgrade (e.g., Angular 12 to Angular 17 or Java 11 to Java 21), it's best to break it down across sprints:
Spike stories: Use them to explore unknowns and reduce risk.
Feature toggles: Deploy in phases with rollback options.
Integration testing: Allocate time for automated and manual tests.
Rollback planning: Always include a recovery strategy.
Platform upgrade stories should include clear acceptance criteria like:
All test cases pass across target environments
Zero breaking changes for existing users
All deprecated packages removed
Scrum Masters play a key role here, ensuring team alignment, removing blockers, and protecting the team from external pressure during complex refactorings. Learn more about these responsibilities in our SAFe Scrum Master certification program.
Here’s how a Scrum team might break down an upgrade of a cloud deployment pipeline from Jenkins to GitHub Actions:
| Story Title | Type | Description |
|---|---|---|
| Spike: Explore GitHub Actions capabilities | Spike | Compare performance, config, secrets handling |
| Setup CI config in Dev branch | Story | Create `.yml` workflows, replicate build process |
| Migrate deployment pipeline | Story | Replace Jenkins deploy with GitHub Actions |
| Decommission old pipeline | Story | Remove Jenkins jobs, archive configs |
| Validate success | Story | Run regression, confirm parity with old pipeline |
This format ensures upgrades are visible, measurable, and demo-able.
Handling tech upgrades requires a disciplined approach to tracking:
Use technical dashboards to visualize upgrade completion and impact.
Run technical reviews in Sprint Reviews to show progress.
Tag stories in Jira or Azure DevOps to filter platform-related tasks.
Scrum teams can also use burndown charts or cumulative flow diagrams to monitor upgrade progress and ensure it doesn't derail delivery.
Looking to improve your tracking techniques? CSM training dives deep into Scrum metrics and how to use them effectively.
In cases where the upgrade is extensive, and co-delivery of features is risky, Scrum teams may choose to schedule:
A dedicated “hardening” sprint for final integration testing
A tech-only sprint if product features can be paused
While not a standard Scrum practice, these sprints can help reduce the risk of customer-facing issues during major platform transitions. This requires agreement between the Product Owner and Scrum Team, based on business context and technical complexity.
Upgrades should never feel like hidden work. Teams must communicate:
Why the upgrade is critical (e.g., EOL support, performance, scalability)
What risks it mitigates
How it aligns with long-term business goals
For example, migrating to a cloud-native stack might enable faster deployments, reduce infrastructure costs, and support scalability — all of which are outcomes stakeholders care about.
Referencing the SAFe framework’s technical agility principles, such communication aligns well with building and maintaining a strong architectural runway. Explore this more in SAFe Scrum Master training.
Scrum isn’t just for product features. It's a powerful framework to handle infrastructure changes, platform upgrades, and tech refreshes — provided the team integrates them into the backlog, communicates clearly, and aligns with stakeholder goals. Upgrades done right reduce risk, improve performance, and keep teams agile in the face of change.
Whether you're managing a cloud migration or upgrading your framework dependencies, the key is transparency, collaboration, and proper technical planning. Scrum offers the cadence and structure to do this without sidelining innovation.
To take your skills further, explore our hands-on Certified Scrum Master training or go deeper with SAFe Scrum Master certification for scaling technical excellence across teams.
Also read - Tracking Technical Debt with Definition of Done in Scrum
Also see - Integrating Security (DevSecOps) Practices into Scrum Teams