{"id":159121,"date":"2025-08-19T06:38:42","date_gmt":"2025-08-19T06:38:42","guid":{"rendered":"http:\/\/13.204.104.114\/?p=159121"},"modified":"2025-12-18T16:03:26","modified_gmt":"2025-12-18T10:33:26","slug":"brain-frame-enabling-machine-learning-innovation-with-aws","status":"publish","type":"post","link":"https:\/\/www.pentagon.co.in\/index.php\/case-study\/education\/brain-frame-enabling-machine-learning-innovation-with-aws\/","title":{"rendered":"Brain Frame: Enabling Machine Learning Innovation with AWS"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row unlock_row_content=&#8221;yes&#8221; row_height_percent=&#8221;100&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;5&#8243; top_padding=&#8221;1&#8243; bottom_padding=&#8221;1&#8243; back_image=&#8221;159122&#8243; overlay_color=&#8221;color-105898&#8243; overlay_alpha=&#8221;50&#8243; overlay_animated=&#8221;yes&#8221; overlay_animated_1_color=&#8221;color-144745&#8243; overlay_animated_2_color=&#8221;color-434631&#8243; overlay_animated_speed=&#8221;1500&#8243; overlay_animated_size=&#8221;0.35&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; top_divider=&#8221;gradient&#8221; bottom_divider=&#8221;gradient&#8221; content_parallax=&#8221;1&#8243; content_parallax_safe=&#8221;yes&#8221; uncode_shortcode_id=&#8221;865929&#8243; front_end_with_slider=&#8221;true&#8221; el_class=&#8221;mobile-flex-bottom&#8221; overlay_animated_1_color_type=&#8221;uncode-palette&#8221; overlay_animated_2_color_type=&#8221;uncode-palette&#8221; overlay_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;bottom&#8221; gutter_size=&#8221;3&#8243; expand_height=&#8221;yes&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; zoom_width=&#8221;0&#8243; zoom_height=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;368328&#8243;][uncode_slider slider_type=&#8221;fade&#8221; slider_interval=&#8221;0&#8243; slider_navspeed=&#8221;400&#8243; advanced_nav=&#8221;yes&#8221; el_id1=&#8221;slider-111384&#8243; el_id=&#8221;slider-111384&#8243;][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;0&#8243; gutter_size=&#8221;4&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; limit_content=&#8221;&#8221; front_end_with_slider=&#8221;true&#8221; uncode_shortcode_id=&#8221;190589&#8243;][vc_column_inner column_width_percent=&#8221;86&#8243; position_horizontal=&#8221;left&#8221; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;2&#8243; style=&#8221;dark&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; zoom_width=&#8221;0&#8243; zoom_height=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;467377&#8243;][uncode_breadcrumbs][vc_empty_space empty_h=&#8221;1&#8243;][vc_custom_heading heading_semantic=&#8221;h1&#8243; text_font=&#8221;font-660432&#8243; text_size=&#8221;custom&#8221; text_weight=&#8221;400&#8243; css_animation=&#8221;single-curtain&#8221; uncode_shortcode_id=&#8221;199930&#8243; heading_custom_size=&#8221;50px&#8221;]Brain Frame: Enabling Machine Learning Innovation with AWS[\/vc_custom_heading][\/vc_column_inner][\/vc_row_inner][\/uncode_slider][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;5&#8243; top_padding=&#8221;5&#8243; bottom_padding=&#8221;5&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;545019&#8243;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;750128&#8243;][vc_custom_heading text_font=&#8221;font-660432&#8243; text_weight=&#8221;300&#8243; text_space=&#8221;fontspace-111509&#8243; uncode_shortcode_id=&#8221;437717&#8243;]Brain Frame is a project initiative under St. Xavier\u2019s College, focused on leveraging Machine Learning (ML) to drive innovation and research.[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;h4&#8243; text_font=&#8221;font-660432&#8243; text_size=&#8221;h4&#8243; text_weight=&#8221;300&#8243; text_height=&#8221;fontheight-357766&#8243; text_space=&#8221;fontspace-781688&#8243; uncode_shortcode_id=&#8221;129897&#8243;]To support this academic endeavor, the project required a secure, scalable, and cost-effective cloud environment capable of handling ML workloads while supporting multiple users.[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;h4&#8243; text_font=&#8221;font-660432&#8243; text_size=&#8221;h4&#8243; text_weight=&#8221;300&#8243; text_space=&#8221;fontspace-781688&#8243; uncode_shortcode_id=&#8221;498099&#8243;]<strong>The Challenge:<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>The Brain Frame team needed an AWS setup that could:<\/p>\n<ul>\n<li>Deploy Windows servers and MySQL databases for application and data processing.<\/li>\n<li>Integrate Amazon SageMaker with S3 storage for ML training and lifecycle management.<\/li>\n<li>Support long-term workloads (1 Windows server + 1 RDS) as well as short-term workloads (additional 1 Windows server + 1 RDS for 3 months).<\/li>\n<li>Allow 4 concurrent users to access the temporary environment securely.<\/li>\n<li>Provide robust monitoring, cost tracking, and security controls for both long- and short-term workloads.<\/li>\n<\/ul>\n<p>[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;h4&#8243; text_font=&#8221;font-660432&#8243; text_size=&#8221;h4&#8243; text_weight=&#8221;300&#8243; text_space=&#8221;fontspace-781688&#8243; uncode_shortcode_id=&#8221;107769&#8243;]<strong>The Solution:<\/strong><\/p>\n<p>&nbsp;<\/p>\n<p>Pentagon designed and implemented a cloud-native environment on AWS, tailored to the project\u2019s requirements:<\/p>\n<ul>\n<li><strong>VPC Configuration<\/strong> \u2013 Created <em>Brain-Frame-VPC<\/em> with 2 public subnets for application servers and 4 private subnets for RDS databases.<\/li>\n<li><strong>Compute &amp; Database<\/strong> \u2013 Deployed 2 Windows EC2 application servers and 2 Amazon RDS (MySQL) instances, with one set configured for long-term use and another for a 3-month period.<\/li>\n<li><strong>Security<\/strong> \u2013 Configured security groups to whitelist only the client\u2019s static IP for RDP and RDS access.<\/li>\n<li><strong>Machine Learning Enablement<\/strong> \u2013 Set up Amazon SageMaker Studio in the Mumbai region, integrated with S3 for scalable data storage and ML workflows.<\/li>\n<li><strong>Monitoring &amp; Alerts<\/strong> \u2013 Implemented CloudWatch for performance monitoring of EC2 and RDS, with SNS notifications for triggered alerts.<\/li>\n<li><strong>Cost Management<\/strong> \u2013 Configured budget alerts at 80% and 90% thresholds to proactively track monthly AWS consumption.<\/li>\n<\/ul>\n<p>[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;h4&#8243; text_font=&#8221;font-660432&#8243; text_size=&#8221;h4&#8243; text_weight=&#8221;300&#8243; text_space=&#8221;fontspace-781688&#8243; uncode_shortcode_id=&#8221;128031&#8243;]<strong>AWS Services Used<\/strong><strong>:<\/strong><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li>Amazon VPC<\/li>\n<li>Amazon EC2<\/li>\n<li>Amazon RDS (MySQL)<\/li>\n<li>Amazon S3<\/li>\n<li>Amazon EBS<\/li>\n<li>Amazon SageMaker<\/li>\n<li>AWS IAM<\/li>\n<li>Amazon SNS<\/li>\n<li>Amazon CloudWatch<\/li>\n<li>AWS CloudTrail<\/li>\n<\/ul>\n<p>[\/vc_custom_heading][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;5&#8243; top_padding=&#8221;5&#8243; bottom_padding=&#8221;5&#8243; back_color=&#8221;color-250828&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;328948&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;103263&#8243;][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_custom_heading text_font=&#8221;font-660432&#8243; text_weight=&#8221;300&#8243; text_height=&#8221;fontheight-357766&#8243; text_space=&#8221;fontspace-111509&#8243; uncode_shortcode_id=&#8221;149277&#8243;]Benefits[\/vc_custom_heading][vc_icon position=&#8221;left&#8221; icon=&#8221;fa fa-arrow-right4&#8243; icon_color=&#8221;color-144745&#8243; size=&#8221;fa-2x&#8221; text_font=&#8221;font-660432&#8243; text_size=&#8221;fontsize-122064&#8243; text_height=&#8221;fontheight-179065&#8243; uncode_shortcode_id=&#8221;380155&#8243; icon_color_type=&#8221;uncode-palette&#8221; title=&#8221;Scalability &amp; Elasticity&#8221;]Infrastructure scaled easily for both short-term and long-term workloads.[\/vc_icon][vc_icon position=&#8221;left&#8221; icon=&#8221;fa fa-arrow-right4&#8243; icon_color=&#8221;color-144745&#8243; size=&#8221;fa-2x&#8221; text_font=&#8221;font-660432&#8243; text_size=&#8221;fontsize-122064&#8243; text_height=&#8221;fontheight-179065&#8243; uncode_shortcode_id=&#8221;193413&#8243; icon_color_type=&#8221;uncode-palette&#8221; title=&#8221;Resiliency &amp; Availability &#8220;]High uptime ensured through AWS-native services.[\/vc_icon][vc_icon position=&#8221;left&#8221; icon=&#8221;fa fa-arrow-right4&#8243; icon_color=&#8221;color-144745&#8243; size=&#8221;fa-2x&#8221; text_font=&#8221;font-660432&#8243; text_size=&#8221;fontsize-122064&#8243; text_height=&#8221;fontheight-179065&#8243; uncode_shortcode_id=&#8221;122914&#8243; icon_color_type=&#8221;uncode-palette&#8221; title=&#8221;Security&#8221;]Role-based IAM, IP whitelisting, and monitoring protected workloads.[\/vc_icon][vc_icon position=&#8221;left&#8221; icon=&#8221;fa fa-arrow-right4&#8243; icon_color=&#8221;color-144745&#8243; size=&#8221;fa-2x&#8221; text_font=&#8221;font-660432&#8243; text_size=&#8221;fontsize-122064&#8243; text_height=&#8221;fontheight-179065&#8243; uncode_shortcode_id=&#8221;142756&#8243; icon_color_type=&#8221;uncode-palette&#8221; title=&#8221;Machine Learning at Scale &#8220;]SageMaker enabled streamlined ML lifecycle management, data preparation, and accelerated development.[\/vc_icon][vc_icon position=&#8221;left&#8221; icon=&#8221;fa fa-arrow-right4&#8243; icon_color=&#8221;color-144745&#8243; size=&#8221;fa-2x&#8221; text_font=&#8221;font-660432&#8243; text_size=&#8221;fontsize-122064&#8243; text_height=&#8221;fontheight-179065&#8243; uncode_shortcode_id=&#8221;748190&#8243; icon_color_type=&#8221;uncode-palette&#8221; title=&#8221;Performance &amp; Cost Efficiency &#8220;]High-performance workloads with budget alerts kept project costs predictable.[\/vc_icon][vc_icon position=&#8221;left&#8221; icon=&#8221;fa fa-arrow-right4&#8243; icon_color=&#8221;color-144745&#8243; size=&#8221;fa-2x&#8221; text_font=&#8221;font-660432&#8243; text_size=&#8221;fontsize-122064&#8243; text_height=&#8221;fontheight-179065&#8243; uncode_shortcode_id=&#8221;833897&#8243; icon_color_type=&#8221;uncode-palette&#8221; title=&#8221;Ease of Maintenance &#8220;]Automated monitoring and backups reduced operational overhead.[\/vc_icon][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;80&#8243; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;1&#8243; overlay_alpha=&#8221;50&#8243; border_color=&#8221;color-wvjs&#8221; border_style=&#8221;solid&#8221; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;213571&#8243; css=&#8221;.vc_custom_1755170142339{border-left-width: 1px !important;}&#8221; border_color_type=&#8221;uncode-palette&#8221;][vc_empty_space][vc_custom_heading text_font=&#8221;font-660432&#8243; text_weight=&#8221;300&#8243; text_height=&#8221;fontheight-357766&#8243; text_space=&#8221;fontspace-111509&#8243; uncode_shortcode_id=&#8221;126759&#8243;]The Result[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;h4&#8243; text_font=&#8221;font-660432&#8243; text_size=&#8221;h4&#8243; text_weight=&#8221;300&#8243; text_height=&#8221;fontheight-357766&#8243; text_space=&#8221;fontspace-781688&#8243; uncode_shortcode_id=&#8221;842041&#8243;]With AWS Cloud, Brain Frame successfully deployed a flexible and secure ML-ready infrastructure, enabling students and researchers at St. Xavier\u2019s College to experiment, innovate, and accelerate their Machine Learning projects.[\/vc_custom_heading][vc_empty_space][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row unlock_row_content=&#8221;yes&#8221; 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