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Executive Summary

BeNotable is a platform dedicated to connecting music students with colleges. To stay ahead in a competitive landscape, BeNotable aimed to leverage Generative AI to enrich students’ audition experience and differentiate their service. We assessed their existing AWS-based data infrastructure (Amazon S3 and DynamoDB), technical maturity, and business objectives. The assessment highlighted an opportunity to introduce the “Aria Audition Lab Coach”, giving students instant, AI-generated feedback on tone, rhythm, and expressive quality. This case study outlines how we implemented a secure, scalable, and cost effective Generative AI workflow on AWS.

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Challenges

• Provide high quality AI feedback on large volumes of audio while maintaining low latency.
• Protect student data and intellectual property with robust security controls.
• Ensure end to end observability and graceful failure handling across asynchronous workloads.
• Integrate seamlessly with BeNotable’s existing AWS foundations without disrupting live users.

Scope of the project

• Discovery & Readiness : Assessed data quality, security posture, and AI objectives.
• Architecture & PoC :Designed an event driven, serverless architecture and validated model choice in Amazon Bedrock.
• Implementation : Built secure upload, processing pipeline, AI inference, and feedback delivery using API Gateway, Lambda, S3, DynamoDB, SQS/SNS, and EventBridge.
• UAT & Launch : Performance, security, and user acceptance testing with staged rollout.
• Enablement:Delivered IaC templates, runbooks, and a roadmap for multilingual expansion.

Partner Solution

• Cloud native platform - That matches music students with colleges via audition submissions.
• Web and chatbot interfaces - For students to upload recordings and receive feedback.
• Existing AWS foundations - Amazon S3 for raw audio and Amazon DynamoDB for metadata storage.
• Key business goals -  Deepen student engagement, enrich learning experience, and stand out from competitor platforms.
• ‍Secure Upload – Students authenticate with Amazon Cognito; requests are filtered through AWS WAF and served via Amazon API Gateway to a “PUT /upload audio” Lambda function.
• Storage Layer – Raw recordings land in an Amazon S3 bucket; Lambda captures metadata (student, instrument, timestamp) and writes to Amazon DynamoDB.
• Processing Pipeline – An SQS queue triggers a processor Lambda that transcribes audio and invokes Amazon Bedrock (Anthropic Claude or AI21) to generate feedback. Events are coordinated with Amazon EventBridge.
• Messaging Layer – Results are published through Amazon SNS. A Dead Letter Queue retains failed messages for replay and root cause analysis.
• Observability & Monitoring – Amazon CloudWatch Logs, metrics, and AWS X Ray traces provided full visibility, while AWS Config & IAM manage compliance and least privilege access.
• Scalability & Resilience – The design is serverless and fully managed, automatically scaling with usage and isolating faults through queue based decoupling.

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Solution Architecture Diagram

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Metrics Used to Measure Success & Lessons Learned

• Engagement: +30 % increase in average session duration; 2× rise in audition uploads.
• Latency: p95 feedback delivery < 4 s.
• Reliability: < 0.2 % message failure, all captured in DLQ
• ‍Cost Efficiency: ~40 % reduction in operational overhead via serverless pay per use.

Lesson Learned

• Prompt engineering with few shot and chain of thought examples is key to nuanced music feedback.
• RAG with Titan Embeddings grounds generative output in music theory references for factual accuracy.
• Comprehensive observability accelerates latency tuning and error resolution.
• Early educator feedback loops refine model prompts and sustain content authenticity.

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Outcome (Business Impact)

• Students receive immediate, high quality feedback, increasing practice frequency and quality.
• Colleges gain richer audition insights, improving talent fit decisions and placement rates.
• BeNotable differentiates as an AI driven innovator, attracting new users and institutional partners.
• Serverless architecture scales elastically with peak audition seasons while aligning costs to usage.

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Customer Profile

Klamath Health Partnerships provides accessible, culturally sensitive, affordable, quality-driven, responsive, patient-centered health services to the community, with an emphasis on those who need it most. These underserved populations typically include individuals from low-income families, the elderly, disabled, children, mentally ill, developmentally disabled,immigrants, the working poor, and those unable to work. Klamath Health Partnership is the second largest medical provider in the region, offering residents access to culturally appropriate, high quality, and affordable primary and preventive health care from a network of local clinics.

Customer Pain Points

Klamath Health’s on-premise infrastructure and data center are on an active fault line, so secure backup and disaster recovery was a primary concern. They also wanted to migrate their EHR and other data to AWS, using Tableau Cloud for business intelligence and analytics. Their managed services provider, who had begun the planning process for a migration, was removed and they were left understaffed and questioning their plan. Additional factors included:

• Legacy software and infrastructure
• Data retention standards
• Structured file share permissions
• Antivirus, malware protection, anti-phishing
• Data auditing
• Security
• HIPAA compliance

Cloudtech Solution:

Cloudtech began the engagement with a one-day workshop to capture the desired technical and business outcomes.Importantly, Klamath Health leaders were present and active to provide a holistic view of what the organization needed and wanted from their architecture. Based on the identified goals, Cloudtech proposed technical solution options and, together with Klamath Health, prioritized the work required and created a detailed roadmap.

Following the roadmap, the Cloudtech team built an AWS presence, comprising Organizational, Security, Infrastructure, and Workload OUs managed through AWS Organizations.


Beyond account creation and AWS Control Tower implementation, the heavy lifting of the engagement was the data migration and hydration of the Klamath Health data lake housed on S3. To accomplish the requirements of a hybrid system with file share capability and multiple data sources of both structured and unstructured data, the team used Amazon S3 File Gateway, AWS Site to Site VPN, AWS Storage Gateway, and Amazon S3.

Throughout the engagement, Cloudtech provided continuous knowledge share and extensive hands-on training and advisory services to the Klamath Health team, instilling confidence to operate the solution going forward.

Customer Outcome

With this solution in place, Klamath Health has a HIPAA-compliant, resilient data lake to house their EHR data as well as otherbusiness-critical datasets. They also have a structured data lifecycle and a highly available data store to ensure the securityand integrity of their patient and physician data as well as a backup policy that meets their RPO and RTO requirements. Withthe balance of the cost savings of the removal of their managed services provider and the dialed in TCO of their new solution,Klamath Health is saving 77% on their infrastructure costsYoY. On top of that, Cloudtech has trained their team to be fullycapable of maintaining and growing their infrastructure as their patient base grows and their organization expands.

Solution Architecture Diagram

AWS Services Used:

• AWS Control Tower
• AWS IAM Identity Center
• AWS Cost Explorer
• Cost & Usage Report
• AWS Organizations
• AWS Directory Service
• Amazon CloudWatch
• AWS CloudTrail
• AWS Config
• AWS Key Management Service
• AWS Security Hub
• Amazon Macie
• Amazon S3 File Gateway
• AWS Site to Site VPN
• AWS Storage Gateway
• Amazon S3

Testimonial

We’re honored to announce that Cloudtech has officially secured AWS Advanced Tier Partner status within the Amazon Web Services (AWS) Partner Network! This significant achievement highlights our expertise in AWS cloud modernization and reinforces our commitment to delivering transformative solutions for our clients.

As an AWS Advanced Tier Partner, Cloudtech has been recognized for its exceptional capabilities in cloud data, application, and infrastructure modernization. This milestone underscores our dedication to excellence and our proven ability to leverage AWS technologies for outstanding results.

A Message from Our CEO

“Achieving AWS Advanced Tier Partner status is a pivotal moment for Cloudtech,” said Kamran Adil, CEO. “This recognition not only validates our expertise in delivering advanced cloud solutions but also reflects the hard work and dedication of our team in harnessing the power of AWS services.”

What This Means for Us

To reach Advanced Tier Partner status, Cloudtech demonstrated an in-depth understanding of AWS services and a solid track record of successful, high-quality implementations. This achievement comes with enhanced benefits, including advanced technical support, exclusive training resources, and closer collaboration with AWS sales and marketing teams.

Elevating Our Cloud Offerings

With our new status, Cloudtech is poised to enhance our cloud solutions even further. We provide a range of services, including:

• Data Modernization
• Application Modernization
• Infrastructure and Resiliency Solutions

By utilizing AWS’s cutting-edge tools and services, we equip startups and enterprises with scalable, secure solutions that accelerate digital transformation and optimize operational efficiency.

We're excited to share this news right after the launch of our new website and fresh branding! These updates reflect our commitment to innovation and excellence in the ever-changing cloud landscape. Our new look truly captures our mission: to empower businesses with personalized cloud modernization solutions that drive success. We can't wait for you to explore it all!

Stay tuned as we continue to innovate and drive impactful outcomes for our diverse client portfolio.

Engineering leaders at mid-market organizations are facing a significant challenge: managing complex data systems while juggling rapid growth and outdated technologies. Many of these organizations left their former on-premises ecosystems for greener pastures in the cloud without fully understanding the impact of this change. This shift has created issues from higher-than-expected cloud costs to engineers who are unprepared to turn over control to cloud providers. These new challenges are not only highly technical but also deeply human, affecting teams and processes at every level. Cloudtech understands these challenges and addresses them with a unique approach combining a people-centric focus paired with an iterative delivery mechanism ensuring transparency throughout the entire engagement.

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Embracing a People-Centric Approach

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At the heart of Cloudtech's philosophy is a simple truth: technology should serve people, not the other way around. This people-centric approach begins with a deep understanding of the needs, challenges, and capabilities of your team. Based on our findings, we are able to create customized solutions to fit your organization’s data infrastructure modernization goals. By focusing on this human aspect, Cloudtech ensures that our solutions don't just solve technical problems but also support and empower the people who spend their lives ensuring organizations have the right technology solutions to grow and support business needs. 

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Iterative, Tangible Improvements

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Our “base hits” approach terminology comes from baseball, where base hits, though seemingly small, lead to significant victories. Cloudtech adopts a similar philosophy when we engage with our customers. This base hits approach is about consistent, manageable progress that accumulates over time. For your team, this means a sense of continuous achievement and motivation, allowing you to measure progress at every stage. 

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A Different Kind of Company 

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At Cloudtech, we are redefining the essence of professional services in the cloud industry. Our foundation is built on the expertise of engineering leaders who intimately understand the pressures of the role. Our mission is to assist mid-market companies to get the most out of their data, helping them centralize and modernize their data infrastructure to improve decision making and prepare them for a Generative AI future. We accomplish this by leveraging AWS serverless solutions to help our customers improve operational efficiency, reduce infrastructure management and lower their cloud costs. 

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Ready to get the most out of your data?

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Discover how our unique delivery approach can streamline your processes, lower your cloud costs and help you feel confident about the current and future state of your organization’s technology.
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Take the first step to modernizing your data infrastructure. 

Schedule a Consultation | Learn More About Our Solutions

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In the wake of the Broadcom acquisition of VMware, the virtualization landscape has witnessed a monumental shift, sparking concerns across industries about rising costs and operational impacts. Many businesses are actively seeking robust solutions to manage these challenges effectively. 

Amidst this turbulence, the migration towards cloud-based alternatives has emerged as a compelling strategy for future-proofing IT infrastructures. This migration isn't merely about responding to market shifts; it's about embracing the agility, scalability, and cost-efficiency offered by cloud environments. As the industry continues to evolve, leveraging cloud-based solutions becomes not just a necessity but a strategic advantage for businesses aiming to thrive in the digital age. 

An Innovative Approach

Recognizing the urgency and complexity of this transition, Cloudtech and ReluTech, two AWS partners, have joined forces to present a forward-thinking approach to mitigate risks, optimize costs, and embrace the scalability of AWS cloud technologies. Our collaborative Migration and Hardware Buy-Back/Lease-Back Program aims to alleviate the financial burden associated with transitioning from VMware to AWS while ensuring uninterrupted business operations and optimized performance.

Key Features of the Program:

• Expert Migration Services: Streamlined processes for a swift and seamless migration to AWS, minimizing downtime and ensuring a smooth transition of workloads.
• Elastic Maintenance: Enjoy significant savings—up to 80%—on maintenance costs throughout the migration period. This innovative cost-saving model is facilitated through the AWS Marketplace, ensuring transparency and efficiency.
• IT Asset Disposition (ITAD): Compliant decommissioning and recycling of outdated hardware, aligning with environmental standards while facilitating a smooth transition to modern cloud infrastructure.
• Hardware Buy-Back/Lease-Back Options: Exchange your existing hardware for cash, providing a financial boost to fund your cloud migration initiatives effectively.

Why Choose Cloudtech and ReluTech?

Both Cloudtech and ReluTech are distinguished AWS partners renowned for their expertise in cloud migration and infrastructure optimization. By leveraging our combined experience and comprehensive service offerings, businesses can confidently navigate the complexities of transitioning from VMware to AWS. This partnership not only ensures cost-effective solutions but also sets the stage for long-term success in a rapidly evolving digital landscape.

If you're concerned about the impact of the VMware acquisition on your business, exploring cloud-based alternatives with trusted partners like Cloudtech and ReluTech could be your pathway to resilience and growth. 

Embrace the future of virtualization with confidence—let us get you on the path to AWS today. 

Gets started with your VMware cloud migration

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In the rapidly evolving cloud computing landscape, AWS Step Functions has emerged as a cornerstone for developers looking to orchestrate complex, distributed applications seamlessly in serverless implementations. The recent expansion of AWS SDK integrations marks a significant milestone, introducing support for 33 additional AWS services, including cutting-edge tools like Amazon Q, AWS B2B Data Interchange, AWS Bedrock, Amazon Neptune,  and Amazon CloudFront KeyValueStore, etc. This enhancement not only broadens the horizon for application development but also opens new avenues for serverless data processing.

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Serverless computing has revolutionized the way we build and scale applications, offering a way to execute code in response to events without the need to manage the underlying infrastructure. With the latest updates to AWS Step Functions, developers now have at their disposal a more extensive toolkit for creating serverless workflows that are not only scalable but also cost-efficient and less prone to errors.

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In this blog, we will delve into the benefits and practical applications of these new integrations, with a special focus on serverless data processing. Whether you're managing massive datasets, streamlining business processes, or building real-time analytics solutions, the enhanced capabilities of AWS Step Functions can help you achieve more with less code. By leveraging these integrations, you can create workflows that directly invoke over 11,000+ API actions from more than 220 AWS services, simplifying the architecture and accelerating development cycles.

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Practical Applications in Data Processing:

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This AWS SDK integration with 33 new services not only broadens the scope of potential applications within the AWS ecosystem but also streamlines the execution of a wide range of data processing tasks. These integrations empower businesses with automated AI-driven data processing, streamlined EDI document handling, and enhanced content delivery performance.

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Amazon Q Integration: Amazon Q is a generative AI-powered enterprise chat assistant designed to enhance employee productivity in various business operations. The integration of Amazon Q with AWS Step Functions enhances workflow automation by leveraging AI-driven data processing. This integration allows for efficient knowledge discovery, summarization, and content generation across various business operations. It enables quick and intuitive data analysis and visualization, particularly beneficial for business intelligence. In customer service, it provides real-time, data-driven solutions, improving efficiency and accuracy. It also offers insightful responses to complex queries, facilitating data-informed decision-making.

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AWS B2B Data Interchange: Integrating AWS B2B Data Interchange with AWS Step Functions streamlines and automates electronic data interchange (EDI) document processing in business workflows. This integration allows for efficient handling of transactions including order fulfillment and claims processing. The low-code approach simplifies EDI onboarding, enabling businesses to utilize processed data in applications and analytics quickly. This results in improved management of trading partner relationships and real-time integration with data lakes, enhancing data accessibility for analysis. The detailed logging feature aids in error detection and provides valuable transaction insights, essential for managing business disruptions and risks.

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Amazon CloudFront KeyValueStore: This integration enhances content delivery networks by providing fast, reliable access to data across global networks. It's particularly beneficial for businesses that require quick access to large volumes of data distributed worldwide, ensuring that the data is always available where and when it's needed.

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Neptune Data: This integration allows the Processing of graph data in a serverless environment, ideal for applications that require complex relationships and data patterns like social networks, recommendation engines, and knowledge graphs. For instance, Step Functions can orchestrate a series of tasks that ingest data into Neptune, execute graph queries, analyze the results, and then trigger other services based on those results, such as updating a dashboard or triggering alerts.

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Amazon Timestream Query & Write: The integration is useful in serverless architectures for analyzing high-volume time-series data in real-time, such as sensor data, application logs, and financial transactions. Step Functions can manage the flow of data from ingestion (using Timestream Write) to analysis (using Timestream Query), including data transformation, anomaly detection, and triggering actions based on analytical insights.

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Amazon Bedrock & Bedrock Runtime: AWS Step Functions can orchestrate complex data streaming and processing pipelines that ingest data in real-time, perform transformations, and route data to various analytics tools or storage systems. Step Functions can manage the flow of data across different Bedrock tasks, handling error retries, and parallel processing efficiently

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AWS Elemental MediaPackage V2: Step Functions can orchestrate video processing workflows that package, encrypt, and deliver video content, including invoking MediaPackage V2 actions to prepare video streams, monitoring encoding jobs, and updating databases or notification systems upon completion. 

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AWS Data Exports: With Step Functions, you can sequence tasks such as triggering data export actions, monitoring their progress, and executing subsequent data processing or notification steps upon completion. It can automate data export workflows that aggregate data from various sources, transform it, and then export it to a data lake or warehouse.

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Benefits of the New Integrations

The recent integrations within AWS Step Functions bring forth a multitude of benefits that collectively enhance the efficiency, scalability, and reliability of data processing and workflow management systems. These advancements simplify the architectural complexity, reduce the necessity for custom code, and ensure cost efficiency, thereby addressing some of the most pressing challenges in modern data processing practices. Here's a summary of the key benefits:

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Simplified Architecture: The new service integrations streamline the architecture of data processing systems, reducing the need for complex orchestration and manual intervention.

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Reduced Code Requirement: With a broader range of integrations, less custom code is needed, facilitating faster deployment, lower development costs, and reduced error rates.

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Cost Efficiency: By optimizing workflows and reducing the need for additional resources or complex infrastructure, these integrations can lead to significant cost savings.

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Enhanced Scalability: The integrations allow systems to easily scale, accommodating increasing data loads and complex processing requirements without the need for extensive reconfiguration.

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Improved Data Management: These integrations offer better control and management of data flows, enabling more efficient data processing, storage, and retrieval.

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Increased Flexibility: With a wide range of services now integrated with AWS Step Functions, businesses have more options to tailor their workflows to specific needs, increasing overall system flexibility.

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Faster Time-to-Insight: The streamlined processes enabled by these integrations allow for quicker data processing, leading to faster time-to-insight and decision-making.

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Enhanced Security and Compliance: Integrating with AWS services ensures adherence to high security and compliance standards, which is essential for sensitive data processing and regulatory requirements.

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Easier Integration with Existing Systems: These new integrations make it simpler to connect AWS Step Functions with existing systems and services, allowing for smoother digital transformation initiatives.

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Global Reach: Services like Amazon CloudFront KeyValueStore enhance global data accessibility, ensuring high performance across geographical locations.

As businesses continue to navigate the challenges of digital transformation, these new AWS Step Functions integrations offer powerful solutions to streamline operations, enhance data processing capabilities, and drive innovation. At Cloudtech, we specialize in serverless data processing and event-driven architectures. Contact us today and ask how you can realize the benefits of these new AWS Step Functions integrations in your data architecture.