{"id":2146,"date":"2026-01-07T14:34:29","date_gmt":"2026-01-07T14:34:29","guid":{"rendered":"https:\/\/piercloud.com\/?page_id=2146"},"modified":"2026-05-25T19:43:23","modified_gmt":"2026-05-25T19:43:23","slug":"case-gerdau-gen-ai","status":"publish","type":"page","link":"https:\/\/piercloud.com\/es\/case-gerdau-gen-ai\/","title":{"rendered":"Gerdau: uso de IA generativa en la gesti\u00f3n de snapshots de EBS en AWS"},"content":{"rendered":"\n[et_pb_section fb_built=”1″ admin_label=”banner-topo” _builder_version=”4.27.4″ _module_preset=”default” background_image=”https:\/\/piercloud.com\/wp-content\/uploads\/2025\/08\/person-using-financial-calculator-planning-their-savings-investments-scaled-1.jpg” background_position=”top_center” background_vertical_offset=”10%” custom_padding=”0px||0px||false|false” background_last_edited=”on|tablet” parallax_phone=”off” background_size_phone=”cover” background_position_tablet=”top_right” background_position_phone=”top_left” background_horizontal_offset_tablet=”45%” background_horizontal_offset_phone=”25%” global_colors_info=”{}”][et_pb_row column_structure=”2_3,1_3″ use_custom_gutter=”on” gutter_width=”1″ custom_padding_last_edited=”on|tablet” admin_label=”conteudo-banner” module_id=”banner-home” module_class=”flex-banner” _builder_version=”4.27.4″ _module_preset=”default” width=”100%” max_width=”100%” min_height=”45.22vh” custom_padding=”|0px||10%|false|false” custom_padding_tablet=”10%|10%|10%||false|false” custom_padding_phone=”10%|10%|10%|10%|true|true” global_colors_info=”{}”][et_pb_column type=”2_3″ _builder_version=”4.27.0″ _module_preset=”_initial” border_color_all=”gcid-41d77bab-0691-4af1-8e4d-cb5275960366″ global_colors_info=”{%22gcid-41d77bab-0691-4af1-8e4d-cb5275960366%22:%91%22border_color_all%22%93}”][et_pb_text admin_label=”titulo” module_class=”banner-content” _builder_version=”4.27.0″ _module_preset=”default” text_font=”Source Sans Pro||||||||” text_text_color=”#FFFFFF” text_font_size=”2.22vh” text_line_height=”1.5em” header_font=”Source Sans Pro|600|||||||” header_text_color=”#FFFFFF” header_font_size=”6.22vh” header_letter_spacing=”0em” header_line_height=”1.1em” max_width=”82.22vh” max_width_tablet=”53vh” max_width_phone=”100%” max_width_last_edited=”on|tablet” custom_margin=”||4vh||false|false” header_font_size_tablet=”48px” header_font_size_phone=”32px” header_font_size_last_edited=”on|phone” global_colors_info=”{}”][\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.17.4″ _module_preset=”_initial” border_color_all=”gcid-41d77bab-0691-4af1-8e4d-cb5275960366″ global_colors_info=”{%22gcid-41d77bab-0691-4af1-8e4d-cb5275960366%22:%91%22border_color_all%22%93}”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”cloudframework” _builder_version=”4.27.5″ _module_preset=”default” min_height=”2255.7px” custom_margin=”||7vh||false|false” custom_margin_tablet=”||0vh||false|false” custom_margin_phone=”||0vh||false|false” custom_margin_last_edited=”on|tablet” global_colors_info=”{}”][et_pb_row custom_padding_last_edited=”on|tablet” admin_label=”01″ module_class=”flex-content” _builder_version=”4.17.4″ _module_preset=”default” width_tablet=”90%” width_phone=”90%” width_last_edited=”on|tablet” max_width=”100%” min_height=”79px” custom_margin=”||6vh||false|false” custom_margin_tablet=”0px||0vh||false|false” custom_margin_phone=”0px||0vh||false|false” custom_margin_last_edited=”on|phone” custom_padding=”||||true|false” custom_padding_tablet=”0px||0px||true|false” custom_padding_phone=”0px||0px||true|false” global_colors_info=”{}”][et_pb_column type=”4_4″ module_class=”order-1″ _builder_version=”4.17.4″ _module_preset=”_initial” border_color_all=”gcid-41d77bab-0691-4af1-8e4d-cb5275960366″ global_colors_info=”{%22gcid-41d77bab-0691-4af1-8e4d-cb5275960366%22:%91%22border_color_all%22%93}”][et_pb_text module_class=”flex-content” _builder_version=”4.27.5″ _module_preset=”default” text_font=”Source Sans Pro||||||||” text_text_color=”gcid-e631c493-4007-45d2-9736-5423cd66cddd” text_font_size=”2.22vh” text_line_height=”1.3em” header_2_font=”Source Sans Pro|600|||||||” header_2_text_align=”center” header_2_text_color=”#4A516C” header_2_font_size=”3.56vh” header_4_font=”Source Sans Pro|600|||||||” header_4_text_align=”left” header_4_text_color=”#4A516C” header_4_font_size=”3.56vh” custom_margin_tablet=”0px||0px||false|false” custom_margin_phone=”0px||0px||false|false” custom_margin_last_edited=”on|tablet” custom_padding=”5px||4px||false|false” header_2_font_size_tablet=”5vh” header_2_font_size_phone=”5vh” header_2_font_size_last_edited=”on|desktop” header_4_font_size_tablet=”4vh” header_4_font_size_phone=”4vh” header_4_font_size_last_edited=”on|desktop” locked=”off” global_colors_info=”{%22gcid-e631c493-4007-45d2-9736-5423cd66cddd%22:%91%22text_text_color%22%93}” custom_css_main_element__hover_enabled=”off|desktop”]
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Gerdau: use of Gen AI in AWS EBS Snapshot management<\/strong>\u00a0<\/strong><\/h1>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” admin_label=”01″ module_class=”flex-content” _builder_version=”4.27.5″ _module_preset=”default” width_tablet=”90%” width_phone=”90%” width_last_edited=”on|tablet” max_width=”100%” custom_margin=”-57px|auto|6vh|auto|false|false” custom_margin_tablet=”0px||0vh||false|false” custom_margin_phone=”0px||0vh||false|false” custom_margin_last_edited=”on|phone” custom_padding=”||||true|false” custom_padding_tablet=”0px||0px||true|false” custom_padding_phone=”0px||0px||true|false” global_colors_info=”{}”][et_pb_column type=”4_4″ module_class=”order-1″ _builder_version=”4.17.4″ _module_preset=”_initial” border_color_all=”gcid-41d77bab-0691-4af1-8e4d-cb5275960366″ global_colors_info=”{%22gcid-41d77bab-0691-4af1-8e4d-cb5275960366%22:%91%22border_color_all%22%93}”][et_pb_text module_class=”flex-content” _builder_version=”4.27.5″ _module_preset=”default” text_font=”Source Sans Pro||||||||” text_text_color=”gcid-e631c493-4007-45d2-9736-5423cd66cddd” text_font_size=”2.22vh” text_line_height=”1.3em” header_2_font=”Source Sans Pro|600|||||||” header_2_text_align=”center” header_2_text_color=”#4A516C” header_2_font_size=”3.56vh” header_4_font=”Source Sans Pro|600|||||||” header_4_text_align=”left” header_4_text_color=”#4A516C” header_4_font_size=”3.56vh” custom_margin_tablet=”0px||0px||false|false” custom_margin_phone=”0px||0px||false|false” custom_margin_last_edited=”on|tablet” custom_padding=”0px||4px||false|false” header_2_font_size_tablet=”5vh” header_2_font_size_phone=”5vh” header_2_font_size_last_edited=”on|desktop” header_4_font_size_tablet=”4vh” header_4_font_size_phone=”4vh” header_4_font_size_last_edited=”on|desktop” locked=”off” global_colors_info=”{%22gcid-e631c493-4007-45d2-9736-5423cd66cddd%22:%91%22text_text_color%22%93}” custom_css_main_element__hover_enabled=”off|desktop”]
<\/div>\n

<\/b><\/h2>\n

1. About the company: Gerdau\u00a0<\/b><\/h2>\n

Gerdau is one of the largest Brazilian companies and one of the world\u2019s leading steel producers, with global industrial and commercial operations. Its technology landscape is highly complex, with extensive use of cloud computing, multiple AWS accounts, and distributed teams, which requires:<\/p>\n

    \n
  • Strong governance and cost control<\/li>\n
  • High operational efficiency at scale<\/li>\n
  • Mature FinOps practices<\/li>\n
  • Clear visibility into active, idle, and unnecessary cloud resources<\/li>\n<\/ul>\n

    2. Challenges<\/b><\/h2>\n

    As part of its AWS cost management strategy, Gerdau identified a recurring challenge related to Amazon EBS Snapshots<\/b>.<\/p>\n

    Although EBS snapshots are incremental, they consume storage in Amazon S3<\/b>. Over time, old and forgotten snapshots may accumulate data that is no longer needed, resulting in unnecessary monthly costs<\/b>. Many organizations discover that a significant portion of their AWS bill comes from unused or unmanaged snapshots.<\/p>\n

    The main challenges were:<\/p>\n

      \n
    • Identifying EBS snapshots not associated with any AMI<\/b><\/li>\n
    • Finding snapshots that had been stored for more than 15 days<\/b><\/li>\n
    • Ensuring that snapshots generated automatically by AWS Backup were <\/b>excluded<\/li>\n
    • Lack of a centralized view across multiple AWS accounts<\/b><\/li>\n
    • Need to understand ownership and responsibility<\/b>, using tags and account-level data<\/li>\n<\/ul>\n

      This scenario led to:<\/p>\n

        \n
      • Hidden and recurring cloud costs<\/li>\n
      • High manual effort for analysis<\/li>\n
      • Increased operational risk when deciding what could be safely deleted<\/li>\n<\/ul>\n

        3. The solution<\/b><\/h2>\n

        PierCloud implemented an automated, AI-powered solution using its platform.<\/p>\n

        3.1 Cloud Compliance Analyzer (CCA)<\/b><\/p>\n

        A custom rule<\/b> was created in the Cloud Compliance Analyzer with the following criteria:<\/p>\n

          \n
        • Identify EBS snapshots without an associated AMI<\/b><\/li>\n
        • Include only snapshots older than 15 days<\/b><\/li>\n
        • Exclude snapshots created automatically by AWS Backup<\/b><\/li>\n
        • Consolidate data across all AWS accounts<\/b><\/li>\n
        • Include tags and owner information<\/b> to support governance and accountability<\/li>\n<\/ul>\n

          This transformed a complex, manual process into a repeatable and automated FinOps control.<\/p>\n

          3.2 Lighthouse Intelligent Analyst (LIA)<\/b><\/p>\n

          The Lighthouse Intelligent Analyst (LIA)<\/b> was used to accelerate rule creation:<\/p>\n

            \n
          • \n

            A natural language prompt described all technical requirements<\/b><\/p>\n<\/li>\n

          • The AI:\n
              \n
            • \n

              Identified the relevant snapshot parameters<\/p>\n<\/li>\n

            • \n

              Built the rule logic<\/p>\n<\/li>\n

            • \n

              Generated the necessary code for execution in the CCA<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

              This significantly reduced development time and enabled fast iteration.<\/p>\n

              4. Results Achieved\u00a0<\/b><\/h2>\n

              The solution delivered clear operational and financial benefits for Gerdau.<\/p>\n

              Cost Reduction<\/b><\/p>\n

                \n
              • \n

                Precise identification of snapshots eligible for deletion<\/b><\/p>\n<\/li>\n

              • \n

                <\/b>Elimination of recurring, unnecessary storage costs<\/p>\n<\/li>\n

              • \n

                Greater control over a commonly overlooked component of AWS billing<\/p>\n<\/li>\n<\/ul>\n

                Operational Efficiency<\/b><\/p>\n

                  \n
                • \n

                  Significant reduction in manual analysis<\/p>\n<\/li>\n

                • \n

                  Clear, reliable list of snapshots that could be safely removed<\/p>\n<\/li>\n

                • \n

                  Lower risk of human error or accidental deletion<\/p>\n<\/li>\n<\/ul>\n

                  Improved Governance<\/b><\/p>\n

                    \n
                  • \n

                    Visibility by account, owner, and tags<\/b><\/p>\n<\/li>\n

                  • \n

                    Easier coordination with responsible teams<\/p>\n<\/li>\n

                  • \n

                    Cleaner and more organized cloud environments<\/p>\n<\/li>\n<\/ul>\n

                    Practical Use of Artificial Intelligence<\/b><\/p>\n

                      \n
                    • \n

                      AI accelerated rule creation and refinement<\/p>\n<\/li>\n

                    • \n

                      Fast adaptation when new requirements emerged<\/p>\n<\/li>\n

                    • \n

                      Scalable approach for future FinOps and compliance rules<\/p>\n<\/li>\n<\/ul>\n

                      5. Lessons Learned<\/b><\/h2>\n

                      Early technical requirement definition is critical: <\/b>Some requirements, such as deeper tag-based ownership tracking, were identified in later iterations and could have been incorporated from the first version.<\/p>\n

                      Rapid iteration adds value: <\/b>Even with evolving requirements, AI-enabled development allowed quick and controlled improvements.<\/p>\n

                      Forgotten snapshots represent hidden cloud costs: <\/b>This case reinforced that unmanaged snapshots can account for a meaningful portion of AWS spending.<\/p>\n

                      Final Message<\/b><\/h2>\n

                      With PierCloud, Gerdau transformed hidden and recurring snapshot costs into a fully automated, governed, and AI-driven FinOps process\u2014reducing expenses, improving operational efficiency, and strengthening cloud governance.<\/p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]\n","protected":false},"excerpt":{"rendered":"

                      Gerdau: use of Gen AI in AWS EBS Snapshot management\u00a0 1. About the company: Gerdau\u00a0 Gerdau is one of the largest Brazilian companies and one of the world\u2019s leading steel producers, with global industrial and commercial operations. Its technology landscape is highly complex, with extensive use of cloud computing, multiple AWS accounts, and distributed teams, […]<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"class_list":["post-2146","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nGerdau: use of Gen AI in AWS EBS Snapshot management - Pier Cloud<\/title>\n<meta name=\"robots\" content=\"noindex, nofollow\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Gerdau: use of Gen AI in AWS EBS Snapshot management\" \/>\n<meta property=\"og:description\" content=\"Gerdau: use of Gen AI in AWS EBS Snapshot management\u00a0 1. 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