{"id":4985,"date":"2021-06-07T18:07:51","date_gmt":"2021-06-07T22:07:51","guid":{"rendered":"https:\/\/ptp.cloud\/?p=4985"},"modified":"2025-07-22T20:31:31","modified_gmt":"2025-07-23T00:31:31","slug":"aws-storage-gateway-use-cases","status":"publish","type":"post","link":"https:\/\/ptp.cloud\/aws-storage-gateway-use-cases\/","title":{"rendered":"AWS Storage Gateway Use Cases for Life Sciences and Biotech"},"content":{"rendered":"[et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”4.16″ custom_padding=”3px|||||” da_disable_devices=”off|off|off” global_colors_info=”{}” da_is_popup=”off” da_exit_intent=”off” da_has_close=”on” da_alt_close=”off” da_dark_close=”off” da_not_modal=”on” da_is_singular=”off” da_with_loader=”off” da_has_shadow=”on”][et_pb_row admin_label=”row” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_padding=”0px|||||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_code _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]\n
Originally broadcast on March 1, 2022, this on-demand webinar focuses on helping life sciences organizations and biotech startups improve their bioinformatics data management. Hosted by PTP, the discussion features leaders from AWS<\/a>, Quilt Data<\/a>, and PTP\u2019s cloud architecture team sharing best practices for scaling data workflows in a secure and compliant environment. <\/pee> The session offers a deep dive into the journey from raw data to refined, research-ready information. Topics include moving lab data from on-premises to AWS, establishing structured data lakes, and enabling collaboration across lab scientists and data engineers. The conversation also highlights how managed IT services for life sciences<\/a> can accelerate time to insight while maintaining regulatory compliance. <\/pee> <\/p>\n
src=”https:\/\/www.youtube-nocookie.com\/embed\/hMsVmxtD2Jc?rel=0″ title=”AWS Storage Gateway Use Cases for Life Sciences \u2013 PTP Webinar” loading=”lazy” style=”position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: 0;” referrerpolicy=”strict-origin-when-cross-origin” allow=”accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share” allowfullscreen> <\/iframe> <\/div>\n

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Watch the full video on YouTube<\/strong> \"AWS <\/a> <\/div>\n

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Expert Panelists<\/h3>\n

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  • Aneesh Karve \u2013 CTO, Quilt Data<\/li>\n

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  • Jim Davis \u2013 Business Development, AWS Life Sciences<\/li>\n

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  • Aaron Jeske \u2013 Senior Cloud Architect, PTP<\/li>\n

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  • Gary Derheim \u2013 VP of Marketing & Managed Services, PTP<\/li>\n

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    Topics Covered<\/h3>\n

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    • Common barriers for biotech startups when adopting AWS<\/li>\n

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    • Cloud infrastructure priorities for life sciences teams<\/li>\n

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    • Strategies for reusable datasets in S3 and data governance<\/li>\n

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    • Tagging, tracking, and scientific data sharing<\/li>\n

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    • How AWS Storage Gateway and Control Tower support scaling and compliance<\/li>\n

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    • Integrating lab tools like Egnyte, Benchling, and Quilt Data into AWS<\/li>\n

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      src=”https:\/\/ptp.cloud\/wp-content\/uploads\/2024\/04\/PTP-and-AWS-Storage-Gateway-Diagram.jpg” alt=”Diagram showing PTP and AWS Storage Gateway integration for lab data and hybrid cloud workflows” width=”600″ height=”auto” loading=”lazy” decoding=”async” style=”max-width: 100%; height: auto; border-radius: 6px; box-shadow: 0 2px 6px rgba(0,0,0,0.1);” \/> <\/div>\n

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      What You\u2019ll Learn<\/h3>\n

      This session is designed for life sciences companies managing large volumes of lab data and preparing for clinical trials or scaling R&D. You\u2019ll gain actionable insights into building infrastructure that supports automation, cost control, and collaboration. <\/pee> Learn how PTP\u2019s cloud managed services help organizations build scalable IT environments, improve data governance, and reduce friction between research and engineering teams. The panel also shares real-life examples of improved lab efficiency and data workflows through automation. <\/pee> <\/p>\n

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      \ud83d\udd0e Transcript Highlights<\/h2>\n

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      • 00:20<\/strong> \u2013 Data workflow challenges for lab scientists and hybrid AWS architecture<\/li>\n

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      • 01:23<\/strong> \u2013 Using NTFS-mounted appliances backed by S3 to scale bioinformatics workflows<\/li>\n

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      • 02:28<\/strong> \u2013 Storage Gateway for legacy system integration in scientific computing IT<\/li>\n

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      • 04:04<\/strong> \u2013 Local and virtual appliance deployment considerations for life sciences labs<\/li>\n

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      • 05:01<\/strong> \u2013 Automating secure data transfer with managed IT services<\/li>\n

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      • 06:00<\/strong> \u2013 Biotech case study: weekly manual effort reduced by 5+ hours via cloud automation<\/li>\n

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      • 07:00<\/strong> \u2013 Data tiering and hybrid strategies to optimize AWS storage costs<\/li>\n

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      • 07:50<\/strong> \u2013 Avoiding vendor lock-in and enabling scalable multi-endpoint data access<\/li>\n

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