Creating better runtime control with LaunchDarkly and AWS
Blog post from LaunchDarkly
Teams integrating AI into their workflows face challenges of rapid iteration and risk management, with every model or prompt adjustment potentially impacting performance. LaunchDarkly and AWS provide solutions to facilitate safe and efficient AI deployments. Using AI Configs and Amazon Bedrock, teams can manage and test models and prompts in real time, allowing for dynamic parameter adjustments without redeployment. Bedrock Guardrails ensure safe user interactions by monitoring for sensitive content and policy violations, while LaunchDarkly's progressive rollouts and instant rollbacks provide controlled testing environments. These tools enable real-time evaluation of performance metrics and facilitate instant rollbacks if metrics decline, all while maintaining live applications. The integration of Amazon Q with LaunchDarkly further streamlines AI development by allowing developers to modify AI configurations using natural language, ensuring updates follow proper approval processes. This collaborative approach ultimately accelerates the adoption of new AI models and ensures that updates enhance both performance and reliability.
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