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Build Resilient, Scalable Applications with AWS DynamoDB

Power mission-critical workloads with fast, flexible, and serverless NoSQL data architecture.

Our Esteemed Clients

Leverage AWS-Powered DynamoDB Solutions to Scale Modern Applications

At Rambunct, we help organizations transform their data layer by architecting scalable, serverless NoSQL solutions using Amazon DynamoDB. Our team designs and deploys DynamoDB-backed workloads that power real-time APIs, event-driven systems, and AI-integrated platforms. For ChargeHealth, we enabled millisecond response times through optimized schema design, auto-scaling, and concurrency controls. For JoyfulHealth, DynamoDB serves as a reliable backbone within a hybrid container architecture—supporting high-throughput processing and asynchronous workflows. Whether you’re optimizing for responsiveness, cost-efficiency, or resilience, Rambunct delivers DynamoDB solutions that are secure, observable, and aligned with AWS Well-Architected best practices.

Modern NoSQL Application Solutions with Amazon DynamoDB

AWS DynamoDB empowers businesses to build scalable, low-latency, and highly available applications without the operational overhead of managing traditional databases. As a fully managed serverless NoSQL database, DynamoDB offers millisecond response times, seamless scalability, and built-in fault tolerance for mission-critical workloads.

At Rambunct, we specialize in designing production-grade DynamoDB-backed architectures tailored to both event-driven and containerized environments. From healthcare reward systems like ChargeHealth to high-throughput data pipelines in JoyfulHealth, we architect DynamoDB implementations that are efficient, secure, and optimized for workload-specific access patterns. Whether supporting transactional APIs or backend analytics stores, Rambunct delivers DynamoDB solutions that meet performance, compliance, and cost goals.

We design DynamoDB tables and indexes based on the application’s specific read/write access patterns. For platforms like ChargeHealth, this allowed for reduced latency and predictable performance during simultaneous access by distributed healthcare facilities. Our approach includes proper key selection, denormalization strategies, and Global Secondary Index (GSI) optimization.

Using on-demand capacity or provisioned mode with auto-scaling, we ensure that DynamoDB scales seamlessly with workload demand. In the JoyfulHealth project, we implemented CloudWatch-based metrics to trigger dynamic scaling, maintaining sub-100ms response times during traffic surges without overprovisioning resources

DynamoDB integrates directly with AWS Lambda and Amazon ECS, enabling fast and resilient data access within event-driven and containerized workflows. In ChargeHealth, DynamoDB supported real-time processing alongside Lambda functions. In JoyfulHealth, DynamoDB was used within ECS-based microservices to support high-throughput workflows and asynchronous queue processing.

We enable detailed monitoring using Amazon CloudWatch metrics, AWS X-Ray for tracing, and custom alarms to detect anomalies in throughput, latency, and throttling. These observability patterns helped JoyfulHealth ensure operational visibility across their ECS pipelines and queue-based notifications.

Rambunct enforces data protection and compliance through fine-grained IAM policies, encryption at rest using AWS KMS, and secure API access layers. For healthcare workloads like ChargeHealth and JoyfulHealth, we implemented access controls aligned with HIPAA-readiness requirements, ensuring least-privilege access and full audit traceability.

Rambunct’s AWS DynamoDB Expertise

We harness the full power of Amazon DynamoDB to deliver fast, flexible, and scalable NoSQL data architectures that fuel modern applications.

Scalable NoSQL Data Modeling

  • We implement access-pattern-based schema design to reduce latency and support high request throughput.

  • Use of single-table or multi-table strategies depending on relational complexity and query diversity.

High-Throughput Performance Engineering

  • DynamoDB Auto Scaling and on-demand modes ensure responsiveness during unpredictable load spikes.

  • Workload isolation techniques reduce read/write contention and improve application stability.

Event-Driven Integration and Workflow Support

  • Seamlessly integrated with AWS Lambda, SQS, and EventBridge for reactive data processing.

  • Enables real-time system updates and loosely coupled microservice interactions, as used in ChargeHealth.

Cost Optimization and Read/Write Efficiency

  • Use of GSIs, sparse indexes, and read/write capacity tuning to control cost and reduce overprovisioning.

  • Fine-tuned TTLs and batch operations reduce DynamoDB item churn and storage overhead.

Security and Compliance Alignment

  • Encryption at rest with KMS, VPC endpoints for private access, and least-privilege IAM controls.

  • Architectures validated for HIPAA readiness and sensitive data processing, as implemented in JoyfulHealth.

Monitoring, Tracing, and Auditability

  • CloudWatch dashboards, Contributor Insights, and DynamoDB Streams enable granular observability.

  • X-Ray traces and alerts identify latency spikes, throttling, and anomalous traffic in real time.

What sets us apart?

Discover why Rambunct is the prime choice for your AWS cloud consulting needs.

Our dedication means transforming barriers into gateways, enhancing security, and modernizing apps to deliver swift, actionable insights.

Collaboration with us streamlines your digital evolution, strengthens security, and updates apps for quicker, clearer insights.

Effective communication fast-tracks digital upgrades, tightens security, and evolves apps, focusing on speed and precision in insights.

Our support translates into overcoming digital hurdles, securing your cloud, and advancing apps for insights that matter.

We innovate to simplify digital complexities, fortify security, and modernize apps, accelerating the journey to insight.

Our expertise automates digital progress, secures assets, and revitalizes apps, ensuring rapid and relevant insights.

What our clients say

Shahid Latif

Shahid Latif

Its been great working with Neo on our solution landscape over these past few weeks. He has provided helpful insight into the AWS platform and recommended a number of best practice options for us to consider.
Stu Waldron

Stu Waldron

I handed Neo an usual request, how to put our open source modeling tool for travel retail in a container to make it easier for anyone to consume. Neo guided us to consider an AWS workspace instead. That’s now working and we are next adding other tools to the workspace.
Kaitlin Bleich

Kaitlin Bleich

Very knowlegeable and eager to help. After looking through our system he made good suggestions on immediate fixes and gave suggestions on future improvements. He also had me double check what he built before calling the project done, so I really appreciate how thorough and honest he is.
Daniel Welsch

Daniel Welsch

Rambunct has successfully set up and transferred the client's data securely. The team is quick to respond, constantly checked in, and delivers regular status updates. They maintain communication via virtual meetings, emails, and messages. Their fast, customer-centered service is remarkable.
Zach Silverzweig

Zach Silverzweig

Neo was extremely ready to dive into our challenges and provided some excellent feedback for us. He has a deep knowledge of the AWS serverless stack, inclusive of security, networking, performance and cost optimization. Definitely excited to work with him in the future as we continue to scale up.
Michael Zhao

Michael Zhao

Neo is an outstanding AWS engineer. His deep knowledge, teamwork, and dedication make him a valuable asset. A pleasure to work with, Neo consistently delivers exceptional results. Highly recommended!
Michelle Beier

Michelle Beier

Everything I could have expected! very good communication, excellent work, great job understanding what I needed. Highly recommend.
Caleb Marcovich

Caleb Marcovich

Thanks to Rambunct, the client gained the ability to perform SQL queries from BI apps. The team was highly responsive, allowing them to manage the engagement efficiently. Their email communication was excellent. Overall, the project was successful.
Case Study

Rambunct Enables Scalable Wellness Data Management with Amazon DynamoDB for Joyfulhealth

JoyfulHealth, a digital wellness platform, collaborated with Rambunct to build a high-throughput, microservices-based backend for managing sensitive healthcare interactions. By leveraging Amazon DynamoDB as the core data store, Rambunct architected a fault-tolerant, serverless environment that supports thousands of concurrent transactions. The solution incorporated ECS-based compute for containerized workloads, Lambda-powered notification services, and DynamoDB’s auto-scaling and on-demand capacity features to ensure reliable performance. Through efficient schema design and seamless integrations with API Gateway and SNS, JoyfulHealth achieved millisecond-level response times, zero-downtime scaling, and compliance-ready data durability.

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