Release Manager & Feature Flagging push on Friday
Release management is no longer just about deploying code; it’s about controlling who sees change and when. Feature flagging lets teams ship behind “switches” so code can reach production while the feature stays off until it’s ready.

Release Manager & Feature Flagging
Problems
Changes in the production environment can cause issues and downtime.
Solution
Offers commit rollbacks if there are any issues when changes are made as well as canary releases.
Release Manager & Feature Flagging
Releasing changes directly into production can introduce unexpected issues, outages, and a poor customer experience especially when rollbacks require redeploys and coordinated effort.
The solution release management and feature flagging solve this by separating deployment from release, enabling controlled canary rollouts and quick rollback of specific features if problems appear. Teams reduce blast radius, recover faster, and ship new functionality with more confidence.
Solution...
With LaunchDarkly, teams can roll out gradually by percentage, cohort, region, or customer segment so they reduce blast radius and learn in production before a full launch.
Flags also enable operational safety. “Kill switch” flags let you instantly disable a problematic capability in response to incidents, traffic spikes, or third party outages without waiting for a redeploy.
For product teams, feature management supports controlled betas and experiments, helping validate value while keeping engineering and release risk under control.
Because LaunchDarkly is API first with many SDKs and integrations, it can plug into existing CI/CD and governance workflows across large teams.
The outcome is a repeatable release process: faster delivery, safer launches, and clearer ownership with audit friendly controls over who can change what and when.

Is this Relevant to you?
Industry
Which of my customers care about Release Management and Feature Flagging?
Industries where downtime is expensive, customer facing, and regulated typically include:
Financial Services/FinTech
Insurance
Healthcare
Public Sector
Telecommunications
Energy
Retail/Ecommerce
Technology/SaaS/ISVs
Transportation/Logistics
Roles
Who cares about Engineering Resilience & Automation in the observability stack?
Platform Engineering Manager
Developer Platform Owner
SRE Lead
Reliability Engineering Manager
Engineering Manager
Head of Engineering
Release Manager
Product Owner
QA/Test Lead
Incident Manager
Operations Lead
Key Discovery Questions
Answering these questions helps uncover risks and align your strategy with best practices in Release Management and Feature Flagging?
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1 |
How often do you deploy today, and can the team push to production late on Friday? |
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2 |
When you launch a new feature, can you start with a small cohort, or is it all or nothing? |
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3 |
If a feature causes an incident, what does “rollback” look like do you need a redeploy/hotfix, and how long does it take to mitigate? |
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4 |
Do you have an easy way to turn off specific functionality during traffic spikes or third‑party outages? Who is allowed to do that? |
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5 |
Are you running experiments A/B, canary, phased rollouts? |

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