AWS Disaster Recovery Setup for Teleradiology / Medical Imaging Platform (PACS, DICOM, EC2, S3, SQL Server)

@AZTURK1

Hi there, I will design and implement a production-ready AWS DR site for your teleradiology platform, tuned for PACS/DICOM performance and long-term image archive needs , my combined Windows/SQL on EC2 + S3 architecture experience ensures safe, cost-aware failover. - Deliverable: DR architecture diagram and runbook (Route 53 failover, VPC peering, subnets, security groups) and cost estimate. - Deliverable: Implementation: EC2 (Windows + SQL Server) templates, S3 lifecycle tiering (S3 Standard / Infrequent / Glacier Deep Archive) and DICOM-aware replication (large-object multipart + checksum verification). - Deliverable: Validation: failover test, recovery time/objective (RTO/RPO) measurement, performance test for CT/MRI retrieval and viewer (OHIF) interaction. - Risk/control: staged deployment with rollback plan, backup retention, encryption at-rest/in-transit, minimal downtime cutover and post-fix validation. Skills: ✅ EC2, S3, Route 53, VPC ✅ Windows Server, SQL Server on AWS ✅ Disaster Recovery planning & failover workflows ✅ Storage tiering, lifecycle policies, cost optimization ✅ DICOM/PACS performance, large-file multipart transfer Certificates: ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ cPanel® & WHM Certified CWSA-2 I’m available to start immediately. What are your RTO and RPO targets and current average study size (GB) so I can size EC2, EBS and S3 lifecycle tiers accurately? Best regards,

@k1ng440

As a seasoned software engineer with over 15 years of experience, I am well-versed in not just AWS, but the entire gamut of cloud computing technologies – including Linux. I specialize in creating bespoke solutions, and I have successfully deployed various applications and systems on AWS, leveraging its different services like EC2 and S3 for optimum performance. These skills align perfectly with the needs of your project. In addition to my proficiency in using essential AWS services for Windows Server and SQL Server, I also have extensive experience in disaster recovery setups, making me well-equipped to establish a robust failover DR environment for your teleradiology system. Building secure environments is a priority for me, and my clients have consistently commended me for delivering reliable, production-ready setups. As an added advantage, I'm well-versed in cost optimization within AWS as well. Lastly, my understanding of medical imaging systems builds up on my already comprehensive skill set. Appreciating the complexity of PACS, DICOM workflows, image retrieval workflows, and storage tiering (active vs archive), I'm undeniably well-suited to architect your long-term image archive. My background in handling large file studies like CT/MRI further strengthens this argument.

@ambientinfotech

Hello We understand you need a reliable AWS Disaster Recovery (DR) setup to ensure business continuity and minimize downtime in case of failures. At Ambient Infotech, we have strong experience in AWS architecture and DR strategies including Backup & Restore, Pilot Light, and Warm Standby setups. We can design and implement a cost-effective DR solution using services like AWS Elastic Disaster Recovery, cross-region replication (EC2, RDS, S3), and automated failover to ensure your data and applications remain secure and recoverable. We focus on defining proper RTO/RPO, setting up replication, testing failover, and ensuring a smooth recovery process without impacting your live environment. AWS DR solutions are flexible and cost-efficient, with pay-as-you-go models and scalable infrastructure depending on your needs Ready to set up a secure and scalable disaster recovery system for you. Best regards, Ambient Infotech

@irsolutions

With over 10 years of experience in AWS Cloud engineering, including disaster recovery setups, I understand the critical need for a failover environment for your teleradiology platform. Your project requires expertise in PACS, DICOM workflows, and image retrieval, all of which align perfectly with my skills. In my past projects, I have successfully designed and implemented disaster recovery environments, ensuring high performance and secure data storage. I have worked extensively with AWS services such as EC2, S3, and SQL Server, delivering cost-optimized solutions for my clients. Specifically in the healthcare domain, I have experience with medical imaging systems like PACS and DICOM, understanding image storage workflows and large file handling. My expertise will guarantee a production-ready DR environment that meets all your requirements. I am eager to discuss how I can help you achieve a reliable disaster recovery setup for your medical imaging platform. Feel free to reach out to me to take the next steps towards securing your data effectively.

@kumarashish99

With my significant experience in AWS and relevant profile, I am the perfect fit for your project. As an AWS-certified professional, I specialize in backend development, DevOps engineering, and Kubernetes orchestration with a focus on building scalable and secure cloud infrastructures. The safety and security of data are crucial in any medical environment, making my expertise extremely valuable to your project. Specifically targeting your needs, I have an unrivaled understanding of AWS' core services for this project including EC2, S3, Route 53, VPC. My experience with Windows Server + SQL Server on AWS further bolsters my readiness to design and implement the Disaster Recovery (DR) environment for your teleradiology platform. I have a proven track record in setting up DR systems and meeting bespoke storage requirements which will be crucial in developing your project's failover site and long-term image archive. Lastly, my skills in cost optimization in combination with my understanding of PACS / DICOM / OHIF or similar systems as well as image storage and retrieval workflows make me the standout choice for this specific project. Efficiency is key here - managing large imaging datasets quickly whilst ensuring durable storage is absolutely pivotal and will be executed optimally under my purview. Let's join forces to build a secure, performance-driven disaster recovery environment that exceeds expectations.

@devendrathakur12

Hello, Can we discuss about your teleradiology DR setup project cause I have worked on AWS systems where large binary datasets replicate across regions with fast failover and tiered storage. A setup with S3 lifecycle tiers, EC2, and Route 53 failover can balance speed and cost. Should DR be active-active or warm standby? How fast must image retrieval stay during failover? Are DICOM studies cached locally? Cross-region latency can affect viewer load times more than expected. Best regards, Devendra S.

@crystalhitesh

Hello, I reviewed your requirements and can design a secure AWS Disaster Recovery environment for your teleradiology platform, ensuring reliable failover, optimized storage, and high-performance image retrieval. I will configure EC2, S3, VPC, Route 53, and Windows Server with SQL Server, focusing on data integrity, storage tiering, and cost optimization. I’m Hitesh Goyal, a Senior Developer with 10+ years of experience in AWS, cloud infrastructure, and DR setups for high-performance systems. Quick question: what is your current backup and replication strategy? Best regards, Hitesh Goyal

@kamran2012

Hi there, I will design and implement your AWS Disaster Recovery environment for the teleradiology platform, covering EC2/SQL Server failover, S3-based DICOM storage tiering, Route 53 health-check routing, and VPC networking to ensure your PACS and viewer remain accessible during any primary site failure. For medical imaging workloads, I will set up S3 Intelligent-Tiering with lifecycle policies that keep recent studies on standard storage for fast viewer retrieval while moving older CT/MRI archives to S3 Glacier Deep Archive - this alone can cut long-term storage costs by 80%+ without impacting active radiology workflows. SQL Server will use Always On availability groups with async replication to the DR region, and I will configure RTO/RPO targets that match your clinical requirements. Questions: 1) What is your current PACS system (Orthanc, DCM4CHEE, or a commercial product like Horos/Ambra), and how are DICOM studies currently stored and indexed? 2) Do you have target RTO/RPO values in mind, or should I propose tiers based on study age and clinical priority? Looking forward to discussing further. Thanks and best regards, Kamran

@reedsystems

Hi, I’m excited to bid on the Disaster Recovery environment for your teleradiology platform. With over a decade of experience in AWS, I have the skills and expertise needed to design and implement this solution effectively. My approach will involve: - Utilizing EC2, S3, Route 53, and VPC to ensure robust disaster recovery capabilities. - Setting up secure, production-ready environments with proven disaster recovery/failover setups. - Implementing cost optimization strategies tailored for AWS. - Ensuring seamless performance, storage, and image retrieval workflows critical for PACS and DICOM systems. Given the specific nature of medical imaging platforms, I have a solid understanding of: - Large file handling (CT/MRI studies). - Storage tiering (active vs archive). - Interactions between viewers and PACS systems. - Image storage and retrieval workflows essential for radiology viewers. Additionally, my background in Windows Server + SQL Server on AWS will be crucial to deliver a comprehensive solution. I’ve successfully implemented similar disaster recovery environments before, ensuring minimal downtime and reliable access to critical medical imaging data. Please review my portfolio here: https://www.freelancer.com/u/reedsystems Looking forward to the opportunity to support your project! Best, Reed

@MIndlabsAi6

Hello, I am Vishal Maharaj, with 20 years of expertise in Amazon Web Services, Data Management, Network Security, and Windows Server. I have carefully reviewed your project requirements for setting up a Disaster Recovery environment for your teleradiology platform. To ensure a successful implementation, I propose designing a robust DR setup utilizing AWS services such as EC2, S3, Route 53, and VPC. I will focus on optimizing performance, storage, and image retrieval, crucial for PACS and DICOM workflows. Additionally, I will integrate Windows Server and SQL Server on AWS for seamless operations. I am well-versed in Disaster Recovery setups and will ensure a secure, production-ready environment that meets your specific needs. Let's discuss further details to initiate the project. Cheers, Vishal Maharaj

@mail2sajju262

I manage over 20,000 VMs across 200+ AWS accounts and can jump in to help you immediately To earn strong feedback on this platform, I am currently offering my services at a reduced rate.[3] I can also audit your AWS environment and recommend or implement necessary improvements at no additional cost Let me know how can support your cloud infrastructure.

@AlexVydrin

Hello I am an experienced AWS Cloud Engineer with a strong background in designing and implementing Disaster Recovery environments for complex systems. I have hands-on expertise with EC2, S3, VPC, Windows Server, and SQL Server on AWS, and I understand the performance, storage, and retrieval needs of medical imaging platforms including PACS and DICOM workflows. I can deliver a secure, cost-optimized, production-ready DR site that handles large CT and MRI datasets efficiently. I am confident in creating a failover environment and long-term archive tailored to your requirements.

@KarthikTechCon

Hi, I’m Karthik, a Cloud/DevOps Architect with 15+ years of experience building **AWS DR solutions and data-intensive platforms**, including healthcare-related systems. I understand PACS/DICOM workflows require **high-performance storage, fast retrieval, and reliable failover**. **Approach:** • EC2 (Windows + SQL Server) with AMI-based DR • S3 (Standard + Intelligent-Tiering + Glacier) for image storage/archival • Cross-region replication + Route 53 failover • Secure VPC setup with encryption & IAM **Focus:** • Optimized handling of large CT/MRI datasets • Fast viewer access (OHIF/DICOM workflows) • Clear RPO/RTO + tested failover **Deliverables:** • Production-ready DR setup • Backup/restore strategy + runbooks • Cost-optimized architecture **Timeline:** 1–2 weeks **Support:** Included Ready to review your setup and implement a reliable DR environment. Best regards, Karthik

@sergiom17

Hi, I’ve worked on AWS-based architectures for high-availability systems handling large datasets, including designing failover environments, storage strategies, and performance optimization. While not strictly healthcare, I’ve handled similar challenges with large file pipelines and real-time data access, which maps closely to DICOM/PACS workflows. On AWS, I’ve built DR setups using EC2, S3 (with lifecycle tiering), Route 53 failover routing, and VPC isolation—ensuring secure, production-ready environments. I’m experienced with Windows Server and SQL Server on AWS, including backup strategies, replication, and recovery testing. For this use case, I’d design a DR architecture with clear separation between active storage (fast access for viewers) and archival tiers (cost-optimized S3/Glacier), while maintaining performance for image retrieval and viewer responsiveness. I also prioritize cost control (storage lifecycle policies, right-sizing, reserved instances) alongside reliability. I would be happy to walk through a DR strategy tailored to your PACS/viewer workflow and ensure it’s scalable, secure, and ready for real-world failover. Looking forward to speaking with you. Regards, Sergio

@amadorjay

Hello, The main engineering challenges include ensuring reliable data synchronization between the primary and disaster recovery environments while maintaining compliance with medical imaging standards. Additionally, the complexity of managing large imaging datasets and optimizing storage solutions for both active and archived data is critical. What are the specific performance benchmarks for image retrieval in the disaster recovery setup? Will the DICOM workflows require real-time processing, or is batch processing acceptable? I’m ready to discuss these challenges further and explore how to best address them.

@krisk63

Hi there, I'm Kristopher Kramer from McKinney, Texas. I’ve worked on similar projects before, and as a senior full-stack and AI engineer, I have the proven experience needed to deliver this successfully, so I have strong experience in Data Backup, Network Security, Amazon Web Services, Windows Server, Cloud Security, Linux, Cloud Networking, Cloud Computing and Data Management. I’m available to start right away and happy to discuss the project details anytime. Looking forward to speaking with you soon. Best regards, Kristopher Kramer

@vlaso

Hello, I’m interested in this AWS DR project because it goes beyond standard infrastructure work and requires understanding how medical imaging systems behave under real operational load. I have experience with AWS architecture, DR/failover planning, Windows Server and SQL Server environments, and I understand that for PACS/DICOM workflows the key issue is not just backup, but reliable image availability, retrieval speed, storage tiering, and viewer performance across large studies such as CT and MRI. My approach would be to design a secure, production-ready DR environment with clear failover logic, protected networking, cost-aware storage architecture, and a practical separation between active and archival image data. I would also account for how the radiology viewer interacts with PACS, how DICOM studies are stored and retrieved, and how to balance recovery readiness with AWS cost efficiency. I can help deliver a DR setup that is technically sound, operationally realistic, and built for long-term maintainability.

@apkblack17

With a keen understanding of your teleradiology platform's needs, I, Aditya Prasetya, bring several years of experience marrying programming and system architecture to build safe and stable environments, like that of your project. My Fullstack Developer background spans numerous successful cross-industry projects, leveraging my proficiency in various databases such as SQL Server, deep knowledge of AWS including EC2 and S3 (services directly relevant to your needs), and experience with Disaster Recovery / failover setups. What sets me apart however is not just my AWS expertise rather a deep appreciation and understanding of the importance of PACS, DICOM workflows, image retrieval purposes, all key components to your project. While working on heavy equipment spare parts in mining industry or textile based systems or chemical sales industries I have gained an insider perspective on how vital performance considerations for large imaging datasets, storage architecture (active vs archive), viewers' interaction with PACS systems are. In summary, both my technical expertise in AWS Cloud Engineering coupled with my specific familiarity with PACS systems and medical imaging practices make me an ideal fit for your project. Let's work together to create the resilient disaster recovery solution you need for your teleradiology platform.

@jeremiasg17

Hello! I’ve built a Disaster Recovery solution for a medical imaging platform similar to yours, achieving a 40% improvement in retrieval times under load. I’d love to share insights from that implementation in chat. For your project, I would focus on optimizing the AWS architecture to ensure seamless failover and efficient storage management, especially with large imaging datasets. Given your requirements, how are you currently handling the storage tiering between active and archived images? If you’re open to it, I can provide a quick example of my previous work or we could discuss a small test task to get started. Let’s see if we can align on this. Looking forward to your thoughts!