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    Workload Onboarding Assessment

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    Sold by: Appvia 
    Boost developer productivity with our Workload Onboarding Assessment, customised to fit your organisation's unique needs. We help streamline onboarding for new hires, projects, and cross-functional developers by assessing documentation, access management, self-service capabilities, and DevOps workflows. Through in-depth workshops and technical analysis, we identify gaps, optimise onboarding processes, and ensure developers can contribute quickly and efficiently. Reduce friction, minimise ramp-up time, and improve developer experience with our expert-led assessment.

    Overview

    As an industry leader in assessment and implementation services, Appvia specializes in helping government and private sector clients streamline Workload Onboarding Assessments.

    Efficient onboarding is key to boosting productivity, overcoming operational hurdles, and allowing teams to focus on delivering value. Many organizations face challenges with fragmented documentation, inconsistent access provisioning, and manual environment setup, which slow down productivity. Our Workload Developer Onboarding Assessment aims to reduce time-to-productivity by evaluating and optimizing onboarding processes, tooling, and automation using AWS-native services.

    Through structured workshops, detailed documentation reviews, and optional technical analysis, we identify inefficiencies, highlight best practices, and provide tailored recommendations aligned with your organization’s DevOps and engineering workflows.

    What We Offer

    We assess the full developer onboarding experience to help organisations improve efficiency, self-service capabilities, and automation. Our engagement covers:

    • Developer Onboarding – Ensure new developers have the right documentation, AWS IAM roles, and environment setup to contribute quickly.
    • Developer Training & Documentation – Review existing documentation, playbooks, and structured training processes for AWS services.
    • Project Onboarding – Evaluate how new projects are provisioned, Git and artefact repositories, such as AWS CodePipeline, AWS CodeBuild, AWS Proton, AWS CodeDeploy, standard documentation templates, etc.
    • DevOps & Platform Integrations – Examine CI/CD pipelines, infrastructure automation, and developer enablement tooling like AWS Proton.
    • Self-Service & Automation – Review the maturity of automated provisioning for AWS accounts, repositories, pipelines, and environments using AWS Service Catalog, AWS Control Tower, Organisational Units and Security Control Policies.
    • Technical Pipeline Review (Optional) – A deep dive into pipeline architecture, security, and efficiency improvements.

    Assessment Agenda

    Our assessment is conducted through interactive workshops, feedback gathering, evaluating processes, and ways of working to get a good understanding of the types of requests, how they are facilitated and the time it takes to deliver them:

    • Structured Workshops with Key Teams

      • Workload
        • Gathering feedback from teams on their onboarding experience, identifying pain points and insights.
        • Evaluating how AWS services like AWS IAM, AWS Organisations, and AWS SSO are used for access provisioning.
      • Platform / Operations Teams
        • Understanding developer and project onboarding workflows.
        • Reviewing infrastructure provisioning with AWS CloudFormation, Terraform, AWS Proton and CI/CD pipelines that support onboarding.
        • Assessing self-service capabilities using AWS Control Tower, AWS Service Catalog, and AWS Systems Manager.
    • Technical Analysis (Optional)

      • Reviewing pipeline efficiency, security, and automation.
      • Identifying gaps in new project AWS account provisioning, Git repo setup, AWS Artefact management, documentation templates, and IAM role assignments.
      • Reviewing onboarding ticket flows for processing time analysis.
      • Analysing historical feedback and retrospectives.
      • Correlating findings to AWS best practices.
    • Findings & Recommendations

      • Compile findings into a formal report presenting insights on onboarding, and identifying gaps and inefficiencies.
      • Providing a report on actionable recommendations for improvement.

    Deliverables

    At the end of the assessment, we provide a structured report detailing:

    • Current State Analysis – A comprehensive breakdown of how AWS onboarding currently works.
    • Pain Points & Bottlenecks – Identification of inefficiencies impacting developer productivity.
    • Maturity Assessment – Evaluating self-service and automation readiness within AWS.
    • Best Practice Recommendations – Tailored guidance for streamlining AWS developer onboarding.
    • Technical Architecture Review (Optional) – Pipeline architecture and proposed optimizations.
    • Implementation Roadmap – A prioritised set of recommendations for improving AWS onboarding processes.

    Post-Assessment Implementation Support

    Organizations looking for further improvement implementation support can engage us for remediation services, including:

    • Process Optimization – Redefining onboarding workflows for improved efficiency.
    • Pipeline Enhancements – Improving security, scalability, and reliability of onboarding deployment processes.
    • Automation Implementation – Analysis and creation of self-service AWS account provisioning, repository setup, CI/CD provisioning, AWS Proton adoption, and IAM access management.
    • Training & Enablement – Developing structured AWS training materials and playbooks for ongoing onboarding.

    Highlights

    • Maximise developer onboarding efficiency by ensuring your teams can focus on delivering high-quality software from day one.
    • Optimise onboarding for new projects and teams.
    • Workshop based assessment.

    Details

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    Delivery method

    Deployed on AWS

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    Pricing

    Custom pricing options

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

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