Overview
AWS Proof of Concept Services helps organizations evaluate and validate AWS-based solutions before committing to full-scale implementation. ScaleOps works with customer stakeholders to define a focused business or technical use case, identify success criteria, review current requirements, and develop a working Proof of Concept aligned with the customer’s Architecture, Security, Operational, Data, AI, and Commercial objectives.
The engagement may cover Cloud Architecture Validation, Application Deployment Patterns, DevOps Automation, Generative AI Prototypes, AI Agent Workflows, Conversational AI, Contact Center AI, Voice Automation, Data Engineering, Analytics Workflows, API Integrations, Migration Approaches, Security Controls, Observability, Cost Considerations, and Production-Readiness Planning.
Depending on the customer’s use case, the solution may use AWS services such as Amazon EC2, Amazon S3, Amazon RDS, Amazon Aurora, Amazon DynamoDB, AWS Lambda, Amazon API Gateway, Amazon ECS, Amazon EKS, AWS CodePipeline, AWS CodeBuild, AWS CloudFormation, AWS CDK, Amazon CloudWatch, AWS CloudTrail, AWS Identity and Access Management (IAM), AWS Key Management Service (AWS KMS), AWS Secrets Manager, and Amazon Cognito.
For AI, Automation, Voice, and Customer Experience use cases, the Proof of Concept may use Amazon Bedrock, Amazon Bedrock Knowledge Bases, Agents for Amazon Bedrock, Amazon Bedrock Guardrails, Amazon SageMaker, Amazon Q Business, Amazon Connect, Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, Amazon Textract, Amazon Rekognition, Amazon Kendra, Amazon OpenSearch Service, AWS Step Functions, and Amazon EventBridge.
For Data and Analytics use cases, the Proof of Concept may use AWS Glue, Amazon Athena, Amazon Redshift, Amazon QuickSight, Amazon EMR, Amazon Kinesis, AWS Lake Formation, AWS DataSync, Amazon OpenSearch Service, Amazon S3 Data Lake patterns, and related AWS Data Governance, Analytics, and Integration services.
Deliverables may include a Use-Case Definition, Proof-of-Concept Architecture, Working Prototype or Technical Validation Environment, Configuration Artifacts, Integration Approach, Test Results, Known Limitations, Security and Data-Handling Recommendations, Indicative AWS Operating-Cost Considerations, Technical Documentation, Demonstration Session, and Production Implementation Roadmap. The applicable Private Offer and Statement of Work will define the use case, AWS services, deliverables, schedule, pricing, assumptions, exclusions, dependencies, and acceptance criteria for each engagement.
Highlights
- AWS Proof of Concept design and prototype development for Cloud, AI, Data, Analytics, Automation, and Application use cases.
- Validation of AWS services including Amazon Bedrock, Amazon Connect, Amazon Lex, Amazon Polly, AWS Glue, Amazon Redshift, Amazon QuickSight, and related services.
- Architecture validation, security review, cost considerations, technical documentation, demonstration, and production implementation roadmap.
Details
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Support
Vendor support
ScaleOps provides remote support throughout the AWS Proof of Concept engagement.
Customers may contact the delivery team at support@scaleops.io or through the telephone number specified in the applicable Private Offer or Statement of Work. Support is available Monday through Friday during normal business hours, excluding public holidays, unless different coverage is contractually agreed.
Support includes engagement coordination, clarification of implementation activities, troubleshooting of deliverables developed within the agreed scope, assistance during testing and acceptance, and knowledge-transfer support. Initial responses are normally provided within one business day.
The applicable Private Offer or Statement of Work will define the support period, response targets, supported environments, and escalation procedures. Production operations, managed services, emergency response, ongoing development, and work outside the agreed scope require a separate written agreement.