Release Strategies that reduce risk without slowing you down
Software releases used to be tied to code deployment. You shipped code, pushed a release, and crossed your fingers. Modern teams separate code deployment from the release of features. Code can ship continuously while value reaches users only when you decide.
Release strategies give teams control over who sees a feature and when. Instead of deploying risky changes to everyone at once, you roll out gradually, target specific internal or external users, test in production, and move fast without breaking trust.
In this article, we will explore practical release strategies, how they work inside Unleash, and how to combine them to build smooth, low-risk rollouts.
Why release strategies matter
Progressive delivery is now the standard in modern engineering. It allows teams to release faster, build reliable software, and experiment safely. A release strategy gives you:
- Control over who gets access
- A path to validate ideas with real users
- A rollback switch that works instantly
- Higher confidence in production changes
According to industry reports and surveys, high-performing teams deploy code 46x more frequently and recover 96x faster than low performers (2017 State of DevOps Report). Progressive delivery practices like feature flags help teams achieve this level of safety and speed.
In Unleash, this control comes from activation strategies. A feature flag becomes active only when at least one strategy returns true. This allows flexible combinations such as:
- Give early access to internal users
- Roll out 10 percent to beta testers
- Release to 50 percent of users in the EU region
- Enable for all users on the Premium plan
You can start small, observe behavior, then scale with confidence.
Key strategy types in Unleash
Standard on/off
The simple switch is still useful for internal testing. You flip a feature on for everyone or turn it off. However, most teams use gradual rollout instead because it offers the same control with more flexibility.
if (unleash.isEnabled("checkout-redesign")) {
renderNewCheckout();
}
Gradual rollout
Gradual rollout exposes a feature to a percentage of users based on a consistent hash of a chosen context field. This ensures a consistent experience for users.
Example: enable for 20 percent of users based on user ID.
const context = { userId: "alice@example.com" };
if (unleash.isEnabled("new-search-ui", context)) {
enableSearchExperiment();
}
Example gradual rollout stages:
- 5 percent internal testers
- 20 percent beta group
- 50 percent general traffic
- 100 percent after validation
Targeting by context
You can define which users or applications get access using constraints on context fields like userId, email, plan, region, and version.
Example: only users on Premium plan and in Europe.
const context = {
userId: "bob@example.com",
properties: {
plan: "Premium",
region: "EU",
},
};
You can target users based on standard fields like userId, email, appName, environment, or remoteAddress. Unleash also lets you define custom context fields when your product has its own identity or segmentation logic.
Simply defined new custom fields in the Admin UI or via API, then pass them from your application when evaluating flags. This keeps targeting flexible and lets product and engineering teams speak the same language without adding hard-coded logic.
Time-based strategies
Schedule availability or create limited access windows using date operators and the currentTime context field.
Practical examples:
- Feature unlocks at midnight UTC
- Experimental UI only available during a weekend beta
- Holiday promotions automatically expire
Pro tip: Time-based rules pair well with marketing events and staged go-lives.
Custom strategies
If built-in strategies and constraints do not cover your case, create a custom strategy. You implement the logic in the SDK and configure the parameters in Unleash.
Use only when needed. Most cases should rely on targeting and gradual rollout.
Combining strategies and constraints safely
In Unleash, you build targeting logic with constraints. Constraints apply inside a single strategy and behave like a logical AND. Every constraint must be true for that strategy to apply.
Example constraints:
- email ends with @example.com
- plan = beta
Both must match for the strategy to activate. Use constraints to refine access within a group.
Then layer activation strategies. Strategies determine who can get the feature and behave like a logical OR. If any strategy evaluates to true, the feature turns on.
Example strategies:
- Strategy A: Internal users (via constraints)
- Strategy B: 20 percent of all users
Any internal user sees the feature, regardless of the percentage rollout. This lets you dogfood internally while still running a controlled release.
Practical rollout pattern
As a general rule of thumb, remember this pattern:
- Strategy 1: Internal access
- Strategy 2: Gradual rollout to external users
- Strategy N: Higher percentage of external users
- Final Strategy: Full rollout at end of release
Ordering matters
The order of strategies in Unleash does not change the logical result (OR logic always applies), but it does affect who gets access to the feature. You should put the most restrictive strategy first, then move to percentage-based strategies.
This also makes release logic easier to read, reason about, and maintain across teams, especially in large orgs or when using shared templates.
Release templates for consistent rollout plans
Manually repeating rollout logic for every feature causes drift and inconsistency. Release templates let you define a reusable rollout sequence and apply it to any feature.
A release template consists of one or more milestones. A milestone is a stage in your release rollout. Each milestone contains one or more activation strategies, and when a milestone is active, those strategies determine who sees the feature.
Typical milestone pattern:
- Internal users only
- 10 percent beta users
- 50 percent target market
- 100 percent release
Milestones run sequentially, and you can pause or rollback at any time. Behind the scenes, each milestone simply activates a different set of strategies.
Release templates shine when you have multiple active teams, strong compliance requirements, staged enterprise rollouts, or just want repeatable progressive delivery recipes.
Reusable targeting with Segments
Segments are reusable collections of strategy constraints. Instead of repeating the same rules across multiple flags, define a segment once and apply it anywhere, including inside release templates.
Use segments to describe groups of users or contexts, such as:
- Internal users or testers
- Users in a specific region or country
- Mobile clients or a specific app version
- Customers on certain plans
When you update a segment, those changes propagate to all strategies that reference it. This keeps large rollouts in sync and makes it easy to enable or disable a collection of flags at once, including time-bound campaigns.
A couple of important things to remember when defining and using segments:
- All constraints in a segment must evaluate to true for the segment to be true.
- If a strategy includes both segments and individual constraints, all must be true for the strategy to activate.
Best practices for release strategies
Start targeted, then grow
Internal users → beta cohort → gradual rollout.
This pattern catches issues early and protects the experience.
Define success metrics
Track activation rate, error or latency changes, drop-off or conversion rate, and rollback triggers. Do not release blind.
Progressive delivery only works when measured.
Pass full user context
Make sure SDK calls include the full context.
Without it, constraints cannot evaluate correctly.
unleash.isEnabled("new-dashboard", {
userId: currentUser.id,
properties: {
accountType: currentUser.plan,
region: currentUser.region,
},
});
Avoid long lists of user IDs
Instead, use context properties like plan, segment, or beta_program.
This keeps configurations clean and lowers payload size. Learn more about principles and best practices for building and scaling feature flags.
Test in Playground
Before rollout, use the Unleash Playground to check strategy evaluation across user samples. It catches misconfigured constraints early.
Example rollout scenario
A product team is shipping a new search feature:
- Deploy code behind a flag
- Enable for internal users
- Enable for 5 percent of Premium plan
- Enable for 25 percent of all users
- Gradually ramp to 100 percent
At each step, don’t forget to:
- Monitor performance and user satisfaction
- Roll back instantly if needed
This will minimize the likelihood of surprise regressions and risky launches, while providing insights and useful feedback.
Automated progression and rollback
Manual rollout control works well for most teams. The next step is automated decision-making based on real outcomes.
Unleash will soon support automated progression and safeguard rollbacks that react to live metrics and conditions.
Examples of automated triggers:
- Time-based: Increase traffic from 10% to 25% after 24 hours
- Error threshold: Roll back if error rate exceeds 2%
- Latency: Pause rollout if response times increase beyond baseline
- Adoption: Expand rollout automatically if engagement passes target
This will make it possible to move to the next milestone automatically and pause (or revert) if quality declines, ultimately reducing manual checks during off-hours releases while defining standard safe rollouts across teams.
The goal is to combine progressive delivery, observability, and automated guardrails so teams can release confidently while reducing manual overhead.
This feature will be available soon in beta. Reach out on Slack if you’d like to give it a try!
Final thoughts
Release strategies transform how teams ship software. They give you control and safety without slowing delivery. With Unleash activation strategies and release templates, you can:
- Test in production safely
- Target the right users at the right time
- Automate consistent rollout plans
- Roll forward confidently or roll back instantly
Modern releases are not big risky events. They are controlled activations designed to learn, validate, and deliver value continuously.