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    AppGambit AWS AI, DevOps & Software Development Services

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    Sold by: APPGAMBiT 
    Accelerate innovation with AppGambit's AWS AI, DevOps, and Software Development Services. Our AWS Certified engineers design, build, automate, and modernize cloud-native applications using AWS best practices, enabling secure, scalable, and cost-efficient digital transformation powered by AI, automation, and modern DevOps.

    Overview

    AppGambit AWS AI, DevOps & Software Development Services

    AppGambit helps enterprises accelerate digital transformation through cloud-native application development, AI-powered solutions, DevOps automation, and scalable AWS architectures.

    Whether you're modernizing legacy applications, building AI-powered products, implementing CI/CD pipelines, or adopting serverless architectures, our AWS Certified Solutions Architects and AI-certified engineers deliver secure, scalable, and production-ready solutions that improve operational efficiency, accelerate innovation, and optimize cloud investments.

    Using AWS services including Amazon EKS, Amazon ECS, AWS Lambda, Amazon EC2, Amazon RDS, Amazon S3, Amazon Bedrock, AWS Step Functions, Amazon API Gateway, AWS Connect, and other AWS-native technologies, we build resilient, secure, and high-performing solutions following AWS Well-Architected best practices.

    What We Help You Achieve

    1. Modernize legacy applications into cloud-native architectures.
    2. Accelerate software delivery through DevOps automation and CI/CD.
    3. Build enterprise AI solutions using Amazon Bedrock and Generative AI.
    4. Improve application scalability, reliability, and operational efficiency.
    5. Reduce cloud costs while strengthening security and governance.

    Core Capabilities

    Cloud-Native Application Development

    Develop scalable enterprise applications using AWS-native services and modern development practices.

    DevOps & CI/CD Automation

    Implement Infrastructure as Code, automated deployments, CI/CD pipelines, and DevSecOps practices.

    AI & Generative AI Solutions

    Build AI assistants, document intelligence, enterprise automation, and intelligent applications using Amazon Bedrock and Large Language Models (LLMs).

    Serverless Application Development

    Develop event-driven applications using AWS Lambda, Amazon API Gateway, Amazon S3, Amazon DynamoDB, and AWS Step Functions.

    Containerization & Kubernetes

    Deploy and manage containerized workloads using Amazon EKS, Amazon ECS, Docker, Kubernetes, and AWS Fargate.

    Data Platforms & Cloud Modernization

    Design secure, scalable data platforms using Amazon RDS, Amazon S3, and AWS migration best practices.

    Engagement Model

    Phase 1 – Discovery & Assessment

    Assess applications, infrastructure, security, and business goals.

    You get:

    • Current environment assessment
    • Architecture review
    • AI readiness assessment
    • Risk analysis
    • AWS adoption roadmap
    Phase 2 – Solution Design

    Design scalable AWS solutions aligned with AWS Well-Architected best practices.

    You get:

    • Solution architecture
    • Infrastructure design
    • AI solution design
    • CI/CD strategy
    • Security architecture
    • Implementation roadmap
    Phase 3 – Build & Implementation

    Implement the agreed solution using AWS-native services and DevOps automation.

    You get:

    • Cloud-native application development
    • Infrastructure as Code
    • CI/CD implementation
    • AI integration
    • Container platform deployment
    • Serverless implementation
    • Testing and validation
    Phase 4 – Validation & Knowledge Transfer

    Validate the solution and prepare your team for production.

    You get:

    • Production readiness review
    • Documentation
    • Runbooks
    • Knowledge transfer
    • Operational best practices
    Phase 5 – Managed Support & Optimization (Optional)

    Provide ongoing optimization and expert AWS support.

    You get:

    • Continuous monitoring
    • Performance optimization
    • AWS cost optimization
    • Security reviews
    • DevOps maintenance
    • Architectural guidance

    Delivery Models

    End-to-End Delivery

    AppGambit manages the complete project lifecycle from planning through deployment and support.

    Co-Delivery

    Our AWS experts collaborate with your engineering teams while transferring knowledge throughout the engagement.

    Hybrid Delivery

    A flexible model combining AppGambit's delivery expertise with your internal engineering capabilities.

    Highlights

    • AWS Certified Solutions Architects and AI-certified engineers delivering secure, scalable cloud solutions.
    • End-to-end expertise across AI, Software Development, DevOps, Kubernetes, Serverless, and Cloud Modernization on AWS.

    Details

    Delivery method

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    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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    Legal

    Content disclaimer

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    Support

    Vendor support

    Email: support@appgambit.com  Website: <www.appgambit.com > Contact: +919925200545

    AppGambit provides comprehensive implementation, consulting, and managed support services for AWS-based applications and cloud environments. Our experienced AWS engineers assist customers throughout solution delivery and post-deployment operations.

    Support Includes

    • AWS Architecture Guidance
    • Software Development Support
    • DevOps & CI/CD Assistance
    • Kubernetes & Container Support
    • AI & Amazon Bedrock Integration
    • AWS Lambda & Serverless Support
    • Performance Optimization
    • Cost Optimization
    • Security Best Practices
    • Production Issue Resolution

    Support Availability

    • Standard Business Hours Support
    • Priority Support Options
    • Managed Services (based on engagement scope and SLA)