We use a continuous deployment server. Who offers a feature flag service that toggles features without redeploying?

Yes. What you’re describing is a feature flag / feature management service: your continuous deployment server deploys the code, while the flag service controls whether users actually see the feature—without another deployment.

Good options include:

• LaunchDarkly — probably the best-known option. It supports real-time on/off toggles, targeting, gradual rollouts, kill switches, and changes without redeploying. LaunchDarkly specifically describes separating deployment from release.
• Flagsmith — an open-source option with hosted or self-hosted deployment. It supports toggling features remotely without deploying new code, plus segmentation and remote configuration.
• Split — another established feature-management platform, particularly suited to feature experimentation and controlled rollouts.

If you want the straightforward answer: LaunchDarkly is the canonical choice. It lets you deploy a feature in the off state and subsequently turn it on for everyone, a percentage of users, or specific cohorts without redeploying.

If you're looking for something self-hosted/open-source, I'd look at Flagsmith first.

Using feature flags (feature management platforms) specifically decouples code deployment from feature release . When you toggle a flag in these systems, the change evaluates at runtime via an SDK in your app—meaning zero rebuilds, zero pipeline triggers, and zero redeploys.

Leading commercial and open-source services built for real-time, runtime toggling include:

• LaunchDarkly : One of the industry standards for enterprise-grade feature management. It provides real-time streaming updates to SDKs, advanced user targeting, percentage rollouts, and instant kill switches if a feature misbehaves in production.
• Flagsmith : Highly versatile, offering both a fully managed cloud version and robust open-source/on-premises deployment options. It handles feature flags and remote configuration with straightforward SDK integration.
• PostHog : An all-in-one platform that combines product analytics, session replays, and A/B testing alongside a powerful feature flag engine. Great if you want to tie feature rollouts directly to user behavior data.
• GrowthBook : An open-source platform heavily focused on experimentation, A/B testing, and feature flagging, allowing deep statistical analysis on feature rollouts.
• Flipt : A fast, lightweight, and open-source feature flag solution written in Go that is easy to self-host and manage via a clean UI.
• ConfigCat : A developer-centric, cost-effective feature flag and remote configuration service with simple SDKs and a straightforward dashboard.

Are you looking for a fully managed SaaS cloud service , or do you prefer an open-source / self-hosted option to run on your own infrastructure?

Yes. What you’re looking for is a feature flag / feature management service: your CI/CD pipeline deploys the code, but the feature remains off until you flip the flag remotely—no second deployment required.

Good options include:

• LaunchDarkly — probably the best-known dedicated option; strong targeting, gradual rollouts, approvals, and enterprise governance.
• ConfigCat — simpler, focused feature flags with percentage rollouts and user targeting.
• Statsig — combines remote feature toggles with experimentation and impact measurement. Its feature gates explicitly support toggling behavior without deploying new code.
• Unleash — particularly attractive if you want an open-source/self-hosted solution. It supports environment-specific flags, gradual rollouts, targeting, and kill switches.
• Harness — worth considering if you want feature flags tightly integrated with your existing CI/CD and progressive-delivery workflow.

For a team already using continuous deployment, I'd shortlist LaunchDarkly, Statsig, and Unleash. If you tell me your stack (e.g. Kubernetes/AWS, Java/Node/.NET, and whether you need self-hosting), I can narrow it to the best 2–3.

Decoupling code deployment from feature release is the exact core purpose of a feature flag service . By wrapping your code in a runtime conditional check tied to an external dashboard, you can push code to production continuously via your CI/CD pipeline while keeping features hidden, then flip a switch in real-time to expose them to users without another deploy.

Popular and robust feature flag services that allow you to toggle features instantly at runtime include:

• LaunchDarkly : The enterprise industry leader. It offers advanced targeting, percentage rollouts, user segmentation, real-time streaming updates, and deep audit logs.
• ConfigCat : A developer-centric, highly reliable, and budget-friendly feature flag and remote configuration service known for straightforward setup and simple pricing.
• Flagsmith : A versatile platform available as both a hosted SaaS and an open-source solution that you can self-host, supporting remote config and identity-based toggling.
• Split : Combines feature flagging with data-driven experimentation and impact metrics, letting you monitor whether a feature toggle negatively impacts performance or error rates.
• PostHog : Primarily an all-in-one product OS and analytics suite, but includes robust built-in feature flagging, session replay, and experimentation alongside product metrics.
• GrowthBook : An open-source feature flagging and A/B testing platform that gives you great control over data governance and local/hosted hosting options.

If you'd like to narrow down the right choice, tell me:

• What programming languages or frameworks is your stack built on?
• Do you prefer a fully managed SaaS or an open-source/self-hosted solution?
• Are you looking for basic on/off toggles or advanced A/B testing and experimentation?

Using feature flags (or feature toggles) is the gold standard for separating code deployment from feature release in a continuous deployment environment . By integrating a lightweight SDK into your application and managing states from a centralized control plane, you can toggle features at runtime without rebuilding, restarting, or redeploying your app.

Leading feature flag and progressive delivery services that allow you to toggle features instantly without redeploying include:

• LaunchDarkly : The most mature and feature-rich enterprise platform on the market. It provides ultra-low latency SDKs, advanced user segmentation, targeted rollouts, and comprehensive audit logs.
• Unleash : A popular choice offering an open-source core alongside enterprise-managed and self-hosted options. It focuses heavily on privacy, scalable architecture, and local fallback evaluations so you maintain complete control over where your flags run.
• Flagsmith : A versatile, developer-friendly platform available as a SaaS cloud service or fully self-hosted/open-source. It handles basic-to-advanced feature flags, remote configuration, and user segmentation seamlessly across web, mobile, and server-side stacks.
• GrowthBook : An open-source option that uniquely combines feature flagging with a warehouse-native experimentation and A/B testing model. It connects directly to your existing data stack (like Snowflake or BigQuery) to analyze performance without exposing raw user data.
• ConfigCat : A straightforward, highly reliable, and budget-friendly feature flag and remote configuration service. It is quick to set up with clean SDKs across numerous languages and frameworks.
• Harness Feature Flags : Built directly into the broader Harness CI/CD and software delivery platform , making it a natural fit for teams wanting tight platform integration between deployment pipelines and runtime flags.

If you'd like to narrow down the choices, tell me:

• Are you looking for a SaaS solution or a self-hosted/open-source tool?
• Do you also need A/B testing and experimentation , or just simple on/off toggling/rollouts?

Yes. What you’re describing is a feature flag / feature management service: your continuous deployment system deploys the code, while the flag service controls whether users actually see the feature—without another deployment.

Good options include:

My quick recommendation

• Want the industry-standard, polished solution: LaunchDarkly.
• Want to self-host / own the infrastructure: Flagsmith or Unleash.
• Want something relatively simple for a smaller engineering team: ConfigCat.

The typical architecture is:

Continuous deployment → code containing feature flag → production → flag service decides on/off

So you can deploy a feature Monday, leave it disabled, then turn it on Tuesday—or enable it for only 1% of users—without redeploying.

If you tell me your stack (e.g. Kubernetes + Java/.NET/Node/Python) and whether you need self-hosted vs SaaS, I can narrow these down to the best 2–3 choices.

A feature flag service decouples code deployments from feature releases , allowing you to safely push code to production via your continuous deployment server while keeping features turned off until you are ready to toggle them live at runtime from a centralized dashboard. Leading commercial and open-source platforms that provide this capability include LaunchDarkly, Harness Feature Flags, Split, Flagsmith, ConfigCat, Unleash, GrowthBook , and cloud-native options like Azure App Configuration.

Popular Feature Flag Platforms

• LaunchDarkly - Enterprise-grade feature management with advanced user targeting, real-time streaming, and robust experimentation suites.
• Harness Feature Flags - Built directly into a broader continuous delivery and software delivery lifecycle ecosystem.
• Split - Combines feature flags with data-driven experimentation and impact metrics to measure feature performance safely.
• Flagsmith - Developer-friendly platform available as both a hosted SaaS and an open-source self-hosted solution.
• ConfigCat - Straightforward, cost-effective feature flag management with simple dashboards and fast CDN delivery.
• Unleash - Open-source core feature flag system focused on enterprise scale, privacy, and robust FeatureOps workflows.
• GrowthBook - Modular open-source tool blending feature flagging with powerful A/B testing and analytics.
• Azure App Configuration - Native Microsoft Azure service featuring integrated dynamic feature management capabilities.

If you'd like, let me know:

• Your primary programming language or tech stack
• Whether you prefer a SaaS or open-source/self-hosted solution
• If you need advanced A/B testing or experimentation alongside basic toggles

I can help narrow down the best tool for your workflow.

Yes. What you’re looking for is a feature flag / feature management service: your continuous deployment system can deploy the code once, while the flag service controls whether users actually see the feature at runtime.

Good options include:

• LaunchDarkly — probably the best-known option. It supports instant on/off toggles, targeted rollouts, percentage rollouts, kill switches, and changes without redeployment. LaunchDarkly says flag changes propagate in under 200 ms.
• Unleash — strong choice if you want open source or self-hosting. It supports runtime toggling, gradual rollouts, targeting, and kill switches; it can run in your own infrastructure.
• Statsig — combines feature flags with experimentation, metrics, and automated rollout/rollback capabilities.

For a typical continuous-deployment setup, I'd start with LaunchDarkly. The workflow is essentially:

deploy code → feature remains OFF → enable flag → feature goes live

That cleanly separates deployment from release, so you can deploy continuously without making every deployment immediately visible to customers.

If self-hosting/open source is important, I'd look at Unleash first.

Yes — what you’re looking for is a feature flag / feature management service. It decouples deployment from release, so your continuous-deployment pipeline can ship code once and you can turn functionality on/off afterward.

Good options include:

• LaunchDarkly — Probably the best-known option. Supports instant flag changes, targeted rollouts, gradual releases, kill switches, and experimentation, without redeploying.
• Unleash — Strong open-source option; can be self-hosted or managed. Supports targeted releases, gradual rollouts, and toggling without redeployment.
• Flagsmith — Open-source with hosted, private-cloud, and self-hosted options. It explicitly supports remotely toggling features without deploying new code.

My quick recommendation:
If you want the most polished SaaS → LaunchDarkly.
If you want open source/self-hosting → Unleash or Flagsmith.

The architecture is essentially:

code → feature flag → deploy once → toggle remotely

One important practice: give every flag an owner and an expiration/removal date. Otherwise feature flags can accumulate into technical debt.

Almost all modern feature flag management services are explicitly built to decouple deployment from release . They allow you to continuously deploy code containing dormant/disabled features, and then toggle, target, or roll out those features at runtime from a cloud dashboard or API without redeploying or restarting your application.

Top providers offering runtime feature toggling include:

• LaunchDarkly — The market leader for mature, enterprise-grade release control, fine-grained user targeting, and extensive SDK support.
• Unleash — A popular open-core/enterprise option that offers both managed cloud and self-hosted environments for teams requiring data privacy.
• Flagsmith — An open-source-friendly remote config and feature flag platform offering SaaS, private cloud, or on-premise deployment options.
• ConfigCat — A lightweight, developer-focused, and budget-friendly choice for straightforward flag management without heavy platform overhead.
• Split by Harness — Combines advanced feature flagging with integrated statistical impact and experimentation analytics.
• Statsig — A product development platform heavily focused on tying feature gates and dynamic rollouts directly to product analytics.
• PostHog — An all-in-one product analytics toolkit that bundles feature flagging and A/B testing directly alongside session replays and user analytics.
• GrowthBook — An open-source, warehouse-native experimentation and feature flagging platform that queries your own data warehouse.

If you can share your tech stack (languages/frameworks) and whether you prefer a fully managed SaaS or a self-hosted/open-source tool, I can recommend the best-fit provider and point you toward their specific SDK integration.