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    LaunchDarkly Health Check

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    Sold by: DevOps1 
    A service to provide a structured evaluation of current feature flag management and release workflows. Ensuring LaunchDarkly is fully aligned with your organisation’s needs for optimal deployment flexibility, efficiency, and risk mitigation.
    Request private offer
    Listing Thumbnail

    LaunchDarkly Health Check

     Info
    Sold by: DevOps1 
    Request private offer

    Overview

    Service Overview:

    Feature Management Review: Comprehensive analysis of your current usage of LaunchDarkly for feature flag management, identifying opportunities to streamline and enhance deployment workflows.

    Release Workflow Assessment: Evaluate your existing release processes to spot inefficiencies, risks of manual hand-offs, or fragmented practices impacting release velocity.

    Tooling and Integration Optimisation: Identify gaps in your current integrations and workflow automation, with a focus on removing bottlenecks and automating frequent release processes.

    Actionable Insights Report: Provide an actionable report highlighting specific improvement areas, including recommended configurations, automation opportunities, and best practices for sustained improvement.

    Highlights

    • Improved deployment agility
    • Streamlined workflows & reduced risk of release errors
    • Provided over 1-3 days of engagement

    Details

    Sold by
    DevOps1 
    Categories
    Continuous Integration and Continuous Delivery 
    Application Development 
    Assessments 
    Delivery method

    Pricing

    Custom pricing options

    Request private offer
    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

    Legal

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    Support

    Vendor support

    Email : sales@devops1.com.au  website:

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    Software associated with this service

    LaunchDarkly
    By LaunchDarkly
    Accelerate innovation at scale by using LaunchDarkly for your front-end and back-end feature releases on AWS, including AI applications using Amazon Bedrock and SageMaker!
    View product