ConfigCat consultants

Q: What does ConfigCat actually do?

ConfigCat manages feature flags and remote configuration for your applications. You create flags in ConfigCat's dashboard, wrap features in your code with conditional checks against those flags, and then toggle features on or off from the dashboard without redeploying. It also supports percentage-based rollouts, user targeting by attributes, and A/B test segmentation.

Q: How does ConfigCat differ from building our own feature flag system?

Building feature flags in-house requires maintaining a flag storage backend, building a dashboard, handling SDK distribution, managing caching and polling intervals, and implementing targeting logic. ConfigCat provides all of this as a managed service with SDKs for every major language and framework. The time saved on infrastructure maintenance is the main advantage.

Q: Can ConfigCat be used to manage AI model configurations?

Yes, and this is a practical use case we implement regularly. Feature flags can control which AI model version, prompt template, or processing pipeline a request uses. This lets you test a new model against a small percentage of traffic, compare results, and switch fully once you are confident in the output quality.

Q: How does ConfigCat handle targeting and segmentation?

ConfigCat lets you define targeting rules based on user attributes like email, country, subscription tier, or any custom property you pass through the SDK. You can create rules like "enable this feature for all users in Australia" or "roll this out to 10% of free-tier users first." Rules are evaluated on the client side using cached config data.

Q: What happens if ConfigCat's service goes down?

ConfigCat SDKs cache the last known configuration locally. If the service is unreachable, your application continues using the cached flags. This means a ConfigCat outage does not break your application. You just lose the ability to change flags until connectivity is restored. The SDKs are designed for resilience by default.

Q: What should we consider before adopting ConfigCat?

Think about how many flags you will manage (pricing scales with flag count and requests), who on your team needs dashboard access (ConfigCat supports role-based permissions), and whether you need audit logs for compliance. Also consider your SDK polling interval: shorter intervals mean faster flag propagation but more API requests.

We can help you automate your business with ConfigCat and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing ConfigCat.

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About ConfigCat

ConfigCat is a feature flag and remote configuration management service that lets development teams toggle features on and off, run A/B tests, and push configuration changes to applications without deploying new code. It provides SDKs for every major platform (JavaScript, Python, .NET, Java, Go, iOS, Android, and more) and a dashboard where non-technical team members can manage feature flags independently.

The problem ConfigCat solves is deployment risk. Releasing new features as all-or-nothing code deployments is risky. If something breaks, you roll back the entire release. Feature flags let you wrap new code in toggles that can be switched on for a small percentage of users first, then gradually rolled out, or instantly killed if problems appear. ConfigCat makes this possible without building your own flag infrastructure.

Osher integrates ConfigCat into custom application development projects where controlled feature rollouts matter. We also use feature flags within AI agent deployments to test different model configurations or prompt variations against live traffic before committing to changes. ConfigCat’s targeting rules allow us to segment users by attribute, making it useful for gradual rollouts across regions or customer tiers.

ConfigCat FAQs

Frequently Asked Questions

Common questions about how ConfigCat consultants can help with integration and implementation

What does ConfigCat actually do?

How does ConfigCat differ from building our own feature flag system?

Can ConfigCat be used to manage AI model configurations?

How does ConfigCat handle targeting and segmentation?

What happens if ConfigCat’s service goes down?

What should we consider before adopting ConfigCat?

How it works

We work hand-in-hand with you to implement ConfigCat

As ConfigCat consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate ConfigCat with integrate and automate 800+ tools.

Step 1

Process Audit

We review your current release and deployment processes, identifying where features are shipped as monolithic releases and where controlled rollouts would reduce risk. We also examine existing configuration management to determine what application settings could be moved to remote configuration.

Step 2

Identify Automation Opportunities

We identify specific features, AI model configurations, or application settings that benefit from feature flags. This includes new feature rollouts, A/B test candidates, environment-specific configurations, and any settings that need to change without code deployments.

Step 3

Design Workflows

We design the feature flag architecture: naming conventions, environment separation (development, staging, production), targeting rule structures, and integration with your CI/CD pipeline. We also define who owns flag management in the dashboard and establish flag lifecycle policies (creation, review, cleanup of stale flags).

Step 4

Implementation

We integrate ConfigCat’s SDK into your application codebase, set up the initial flags in the dashboard, configure targeting rules, and connect flag evaluations to your feature code. We also set up any webhooks or integrations with your deployment pipeline for automated flag management.

Step 5

Quality Assurance Review

We test flag evaluation across all target environments, verify that targeting rules segment users correctly, confirm that fallback values work when the service is unreachable, and validate that percentage-based rollouts distribute traffic as expected. We also test the dashboard permissions and audit logging.

Step 6

Support and Maintenance

After launch, we help manage flag hygiene (removing old flags, reviewing active flags periodically), adjust targeting rules as your user base evolves, and support your team with ConfigCat dashboard training and best practices for flag lifecycle management.

Transform your business with ConfigCat

Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation ConfigCat consultation.

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