{"id":58448,"date":"2025-12-31T12:04:53","date_gmt":"2025-12-31T12:04:53","guid":{"rendered":"https:\/\/www.devopsschool.com\/blog\/?p=58448"},"modified":"2026-01-19T12:10:03","modified_gmt":"2026-01-19T12:10:03","slug":"top-10-security-data-lakes-features-pros-cons-comparison","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/blog\/top-10-security-data-lakes-features-pros-cons-comparison\/","title":{"rendered":"Top 10 Security Data Lakes: Features, Pros, Cons & Comparison"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Introduction<\/h2>\n\n\n\n

Security Data Lakes have become a foundational component of modern cybersecurity architectures<\/strong>. As organizations generate massive volumes of security telemetry\u2014from endpoints, cloud workloads, networks, identities, and applications\u2014traditional SIEM platforms often struggle with scale, cost, and flexibility. Security Data Lakes address this challenge by providing a centralized, scalable repository<\/strong> where raw and enriched security data can be stored, queried, correlated, and analyzed over long periods.<\/p>\n\n\n\n

Unlike rigid log-management systems, Security Data Lakes are designed to handle high-volume, high-variety, and high-velocity security data<\/strong>. They allow security teams to retain data for longer durations, perform advanced threat hunting, support incident response, and meet compliance requirements without being constrained by ingestion or query limits.<\/p>\n\n\n\n

Why Security Data Lakes Matter<\/h3>\n\n\n\n
    \n
  • Enable deep forensic investigations<\/strong> using historical data<\/li>\n\n\n\n
  • Support advanced analytics and AI-driven detection<\/strong><\/li>\n\n\n\n
  • Reduce long-term log storage and SIEM costs<\/strong><\/li>\n\n\n\n
  • Improve cross-tool visibility<\/strong> across the security stack<\/li>\n<\/ul>\n\n\n\n

    Common Use Cases<\/h3>\n\n\n\n
      \n
    • Threat hunting and behavioral analytics<\/li>\n\n\n\n
    • Incident response and digital forensics<\/li>\n\n\n\n
    • Compliance reporting and audit readiness<\/li>\n\n\n\n
    • Centralized storage for SOC, DFIR, and cloud security teams<\/li>\n<\/ul>\n\n\n\n

      What to Look for When Choosing a Security Data Lake<\/h3>\n\n\n\n
        \n
      • Scalability and performance at high data volumes<\/li>\n\n\n\n
      • Native integrations with security tools<\/li>\n\n\n\n
      • Query flexibility and analytics depth<\/li>\n\n\n\n
      • Security controls and compliance certifications<\/li>\n\n\n\n
      • Cost transparency and data retention options<\/li>\n<\/ul>\n\n\n\n

        Best for:<\/strong>
        Security operations teams, SOC analysts, DFIR specialists, cloud-native organizations, large enterprises, and compliance-driven industries such as finance, healthcare, and SaaS.<\/p>\n\n\n\n

        Not ideal for:<\/strong>
        Very small teams with minimal log volume, organizations seeking a fully managed SIEM without customization, or use cases where short-term log retention is sufficient.<\/p>\n\n\n\n

        \n\n\n\n

        Top 10 Security Data Lakes Tools<\/h2>\n\n\n\n

        1 \u2014 Snowflake<\/h3>\n\n\n\n

        Short description:<\/strong>
        A cloud-native data platform widely used as the backbone for security data lakes, offering massive scalability and advanced analytics.<\/p>\n\n\n\n

        Key features<\/strong><\/p>\n\n\n\n

          \n
        • Elastic compute and storage separation<\/li>\n\n\n\n
        • Structured and semi-structured data support<\/li>\n\n\n\n
        • SQL-based analytics at scale<\/li>\n\n\n\n
        • Secure data sharing and governance<\/li>\n\n\n\n
        • Role-based access controls<\/li>\n\n\n\n
        • Native integration with security tools<\/li>\n<\/ul>\n\n\n\n

          Pros<\/strong><\/p>\n\n\n\n

            \n
          • Extremely scalable and performant<\/li>\n\n\n\n
          • Strong ecosystem and analytics flexibility<\/li>\n<\/ul>\n\n\n\n

            Cons<\/strong><\/p>\n\n\n\n

              \n
            • Requires skilled data engineering<\/li>\n\n\n\n
            • Costs can rise with heavy usage<\/li>\n<\/ul>\n\n\n\n

              Security & compliance:<\/strong>
              SSO, encryption at rest and in transit, audit logs, SOC 2, ISO 27001, GDPR, HIPAA<\/p>\n\n\n\n

              Support & community:<\/strong>
              Enterprise-grade support, extensive documentation, large partner ecosystem<\/p>\n\n\n\n

              \n\n\n\n

              2 \u2014 Amazon Security Lake<\/h3>\n\n\n\n

              Short description:<\/strong>
              A managed security data lake service built on AWS, designed to centralize security data in a standardized format.<\/p>\n\n\n\n

              Key features<\/strong><\/p>\n\n\n\n

                \n
              • Open Cybersecurity Schema Framework support<\/li>\n\n\n\n
              • Native AWS security integrations<\/li>\n\n\n\n
              • Centralized multi-account data storage<\/li>\n\n\n\n
              • Automated ingestion and normalization<\/li>\n\n\n\n
              • Scalable object storage backend<\/li>\n<\/ul>\n\n\n\n

                Pros<\/strong><\/p>\n\n\n\n

                  \n
                • Tight AWS ecosystem integration<\/li>\n\n\n\n
                • Low operational overhead<\/li>\n<\/ul>\n\n\n\n

                  Cons<\/strong><\/p>\n\n\n\n

                    \n
                  • AWS-centric design<\/li>\n\n\n\n
                  • Limited non-AWS flexibility<\/li>\n<\/ul>\n\n\n\n

                    Security & compliance:<\/strong>
                    IAM, encryption, audit logs, SOC 2, ISO, GDPR<\/p>\n\n\n\n

                    Support & community:<\/strong>
                    AWS documentation, enterprise support plans<\/p>\n\n\n\n

                    \n\n\n\n

                    3 \u2014 Google Chronicle<\/h3>\n\n\n\n

                    Short description:<\/strong>
                    A cloud-native security analytics and data lake platform focused on high-speed threat detection.<\/p>\n\n\n\n

                    Key features<\/strong><\/p>\n\n\n\n

                      \n
                    • Massive telemetry ingestion<\/li>\n\n\n\n
                    • Long-term data retention<\/li>\n\n\n\n
                    • Threat intelligence enrichment<\/li>\n\n\n\n
                    • YARA-L detection language<\/li>\n\n\n\n
                    • Rapid search and correlation<\/li>\n<\/ul>\n\n\n\n

                      Pros<\/strong><\/p>\n\n\n\n

                        \n
                      • Exceptional performance at scale<\/li>\n\n\n\n
                      • Strong threat intelligence integration<\/li>\n<\/ul>\n\n\n\n

                        Cons<\/strong><\/p>\n\n\n\n

                          \n
                        • Less customization for data modeling<\/li>\n\n\n\n
                        • Primarily enterprise-focused<\/li>\n<\/ul>\n\n\n\n

                          Security & compliance:<\/strong>
                          SSO, encryption, audit logs, SOC 2, ISO, GDPR<\/p>\n\n\n\n

                          Support & community:<\/strong>
                          Enterprise support, security-focused documentation<\/p>\n\n\n\n

                          \n\n\n\n

                          4 \u2014 Microsoft Sentinel<\/h3>\n\n\n\n

                          Short description:<\/strong>
                          A cloud-native SIEM with data lake foundations built on Azure Log Analytics.<\/p>\n\n\n\n

                          Key features<\/strong><\/p>\n\n\n\n

                            \n
                          • Native Azure integration<\/li>\n\n\n\n
                          • Advanced KQL querying<\/li>\n\n\n\n
                          • AI-powered analytics<\/li>\n\n\n\n
                          • SOAR automation<\/li>\n\n\n\n
                          • Long-term log retention<\/li>\n<\/ul>\n\n\n\n

                            Pros<\/strong><\/p>\n\n\n\n

                              \n
                            • Strong Microsoft ecosystem alignment<\/li>\n\n\n\n
                            • Integrated SIEM and SOAR<\/li>\n<\/ul>\n\n\n\n

                              Cons<\/strong><\/p>\n\n\n\n

                                \n
                              • Azure-centric<\/li>\n\n\n\n
                              • Query language learning curve<\/li>\n<\/ul>\n\n\n\n

                                Security & compliance:<\/strong>
                                SSO, encryption, audit logs, SOC 2, ISO, HIPAA<\/p>\n\n\n\n

                                Support & community:<\/strong>
                                Large community, extensive learning resources<\/p>\n\n\n\n

                                \n\n\n\n

                                #5 \u2014 Splunk Data Fabric Search<\/h3>\n\n\n\n

                                Short description:<\/strong>
                                A federated search and analytics layer enabling security data lake architectures across environments.<\/p>\n\n\n\n

                                Key features<\/strong><\/p>\n\n\n\n

                                  \n
                                • Federated search across data stores<\/li>\n\n\n\n
                                • High-speed indexing and analytics<\/li>\n\n\n\n
                                • Advanced correlation<\/li>\n\n\n\n
                                • Strong visualization tools<\/li>\n\n\n\n
                                • Hybrid and multi-cloud support<\/li>\n<\/ul>\n\n\n\n

                                  Pros<\/strong><\/p>\n\n\n\n

                                    \n
                                  • Powerful analytics<\/li>\n\n\n\n
                                  • Mature security ecosystem<\/li>\n<\/ul>\n\n\n\n

                                    Cons<\/strong><\/p>\n\n\n\n

                                      \n
                                    • Premium pricing<\/li>\n\n\n\n
                                    • Resource-intensive<\/li>\n<\/ul>\n\n\n\n

                                      Security & compliance:<\/strong>
                                      SSO, encryption, audit logs, SOC 2, ISO<\/p>\n\n\n\n

                                      Support & community:<\/strong>
                                      Strong enterprise support, active user community<\/p>\n\n\n\n

                                      \n\n\n\n

                                      6 \u2014 Elastic Security<\/h3>\n\n\n\n

                                      Short description:<\/strong>
                                      An open and flexible security platform built on the Elastic Stack, often used as a security data lake.<\/p>\n\n\n\n

                                      Key features<\/strong><\/p>\n\n\n\n

                                        \n
                                      • High-speed data ingestion<\/li>\n\n\n\n
                                      • Full-text search and analytics<\/li>\n\n\n\n
                                      • Flexible schema design<\/li>\n\n\n\n
                                      • SIEM and endpoint security<\/li>\n\n\n\n
                                      • Open-source foundations<\/li>\n<\/ul>\n\n\n\n

                                        Pros<\/strong><\/p>\n\n\n\n

                                          \n
                                        • Flexible and customizable<\/li>\n\n\n\n
                                        • Cost-effective at scale<\/li>\n<\/ul>\n\n\n\n

                                          Cons<\/strong><\/p>\n\n\n\n

                                            \n
                                          • Requires tuning and management<\/li>\n\n\n\n
                                          • Steeper learning curve<\/li>\n<\/ul>\n\n\n\n

                                            Security & compliance:<\/strong>
                                            Encryption, RBAC, audit logs, SOC 2, GDPR<\/p>\n\n\n\n

                                            Support & community:<\/strong>
                                            Strong open-source community, commercial support available<\/p>\n\n\n\n

                                            \n\n\n\n

                                            #7 \u2014 Sumo Logic<\/h3>\n\n\n\n

                                            Short description:<\/strong>
                                            A cloud-native analytics platform offering security data lake capabilities with managed operations.<\/p>\n\n\n\n

                                            Key features<\/strong><\/p>\n\n\n\n

                                              \n
                                            • Cloud-scale log ingestion<\/li>\n\n\n\n
                                            • Built-in security analytics<\/li>\n\n\n\n
                                            • Long-term data retention<\/li>\n\n\n\n
                                            • Cloud SIEM capabilities<\/li>\n\n\n\n
                                            • Automated threat detection<\/li>\n<\/ul>\n\n\n\n

                                              Pros<\/strong><\/p>\n\n\n\n

                                                \n
                                              • Managed and easy to deploy<\/li>\n\n\n\n
                                              • Strong cloud-native focus<\/li>\n<\/ul>\n\n\n\n

                                                Cons<\/strong><\/p>\n\n\n\n

                                                  \n
                                                • Less customization<\/li>\n\n\n\n
                                                • Pricing complexity<\/li>\n<\/ul>\n\n\n\n

                                                  Security & compliance:<\/strong>
                                                  SSO, encryption, SOC 2, ISO, GDPR<\/p>\n\n\n\n

                                                  Support & community:<\/strong>
                                                  Enterprise support, guided onboarding<\/p>\n\n\n\n

                                                  \n\n\n\n

                                                  8 \u2014 Databricks<\/h3>\n\n\n\n

                                                  Short description:<\/strong>
                                                  A data lakehouse platform increasingly used for large-scale security analytics and threat hunting.<\/p>\n\n\n\n

                                                  Key features<\/strong><\/p>\n\n\n\n

                                                    \n
                                                  • Unified data lake and analytics<\/li>\n\n\n\n
                                                  • ML-driven threat analysis<\/li>\n\n\n\n
                                                  • High-performance Spark engine<\/li>\n\n\n\n
                                                  • Cloud-native scalability<\/li>\n\n\n\n
                                                  • Open data formats<\/li>\n<\/ul>\n\n\n\n

                                                    Pros<\/strong><\/p>\n\n\n\n

                                                      \n
                                                    • Advanced analytics and ML<\/li>\n\n\n\n
                                                    • Highly scalable<\/li>\n<\/ul>\n\n\n\n

                                                      Cons<\/strong><\/p>\n\n\n\n

                                                        \n
                                                      • Requires data engineering expertise<\/li>\n\n\n\n
                                                      • Not security-specific by default<\/li>\n<\/ul>\n\n\n\n

                                                        Security & compliance:<\/strong>
                                                        Encryption, RBAC, SOC 2, ISO, GDPR<\/p>\n\n\n\n

                                                        Support & community:<\/strong>
                                                        Strong documentation, enterprise support<\/p>\n\n\n\n

                                                        \n\n\n\n

                                                        9 \u2014 Exabeam<\/h3>\n\n\n\n

                                                        Short description:<\/strong>
                                                        A security analytics platform combining data lake concepts with UEBA and SIEM capabilities.<\/p>\n\n\n\n

                                                        Key features<\/strong><\/p>\n\n\n\n

                                                          \n
                                                        • User and entity behavior analytics<\/li>\n\n\n\n
                                                        • Long-term log storage<\/li>\n\n\n\n
                                                        • Automated threat detection<\/li>\n\n\n\n
                                                        • Risk scoring models<\/li>\n\n\n\n
                                                        • Cloud and hybrid support<\/li>\n<\/ul>\n\n\n\n

                                                          Pros<\/strong><\/p>\n\n\n\n

                                                            \n
                                                          • Strong behavioral analytics<\/li>\n\n\n\n
                                                          • SOC-focused workflows<\/li>\n<\/ul>\n\n\n\n

                                                            Cons<\/strong><\/p>\n\n\n\n

                                                              \n
                                                            • Less flexible as a general data lake<\/li>\n\n\n\n
                                                            • Enterprise pricing<\/li>\n<\/ul>\n\n\n\n

                                                              Security & compliance:<\/strong>
                                                              SSO, encryption, SOC 2, GDPR<\/p>\n\n\n\n

                                                              Support & community:<\/strong>
                                                              Enterprise SOC-focused support<\/p>\n\n\n\n

                                                              \n\n\n\n

                                                              10 \u2014 Rapid7 InsightIDR<\/h3>\n\n\n\n

                                                              Short description:<\/strong>
                                                              A cloud SIEM platform with centralized log storage and analytics suitable for mid-market teams.<\/p>\n\n\n\n

                                                              Key features<\/strong><\/p>\n\n\n\n

                                                                \n
                                                              • Centralized log ingestion<\/li>\n\n\n\n
                                                              • UEBA capabilities<\/li>\n\n\n\n
                                                              • Incident detection workflows<\/li>\n\n\n\n
                                                              • Cloud and on-prem support<\/li>\n\n\n\n
                                                              • Integrated threat intelligence<\/li>\n<\/ul>\n\n\n\n

                                                                Pros<\/strong><\/p>\n\n\n\n

                                                                  \n
                                                                • Faster deployment<\/li>\n\n\n\n
                                                                • User-friendly interface<\/li>\n<\/ul>\n\n\n\n

                                                                  Cons<\/strong><\/p>\n\n\n\n

                                                                    \n
                                                                  • Limited customization<\/li>\n\n\n\n
                                                                  • Less scalable for very large data volumes<\/li>\n<\/ul>\n\n\n\n

                                                                    Security & compliance:<\/strong>
                                                                    SSO, encryption, SOC 2, GDPR<\/p>\n\n\n\n

                                                                    Support & community:<\/strong>
                                                                    Good documentation, responsive customer support<\/p>\n\n\n\n

                                                                    \n\n\n\n

                                                                    Comparison Table<\/h2>\n\n\n\n
                                                                    Tool Name<\/th>Best For<\/th>Platform(s) Supported<\/th>Standout Feature<\/th>Rating<\/th><\/tr><\/thead>
                                                                    Snowflake<\/td>Large-scale analytics<\/td>Multi-cloud<\/td>Elastic scalability<\/td>N\/A<\/td><\/tr>
                                                                    Amazon Security Lake<\/td>AWS security teams<\/td>AWS<\/td>Open schema ingestion<\/td>N\/A<\/td><\/tr>
                                                                    Google Chronicle<\/td>Enterprise SOCs<\/td>Cloud<\/td>Speed at massive scale<\/td>N\/A<\/td><\/tr>
                                                                    Microsoft Sentinel<\/td>Microsoft environments<\/td>Azure<\/td>Integrated SIEM & SOAR<\/td>N\/A<\/td><\/tr>
                                                                    Splunk Data Fabric Search<\/td>Hybrid enterprises<\/td>Hybrid<\/td>Federated analytics<\/td>N\/A<\/td><\/tr>
                                                                    Elastic Security<\/td>Custom security stacks<\/td>Cloud \/ On-prem<\/td>Flexible schema<\/td>N\/A<\/td><\/tr>
                                                                    Sumo Logic<\/td>Cloud-native teams<\/td>Cloud<\/td>Managed analytics<\/td>N\/A<\/td><\/tr>
                                                                    Databricks<\/td>Advanced analytics teams<\/td>Multi-cloud<\/td>ML-driven insights<\/td>N\/A<\/td><\/tr>
                                                                    Exabeam<\/td>Behavioral analytics<\/td>Cloud \/ Hybrid<\/td>UEBA focus<\/td>N\/A<\/td><\/tr>
                                                                    Rapid7 InsightIDR<\/td>Mid-market SOCs<\/td>Cloud<\/td>Fast deployment<\/td>N\/A<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                                                                    \n\n\n\n

                                                                    Evaluation & Scoring of Security Data Lakes<\/h2>\n\n\n\n
                                                                    Criteria<\/th>Weight<\/th>Average Score<\/th><\/tr><\/thead>
                                                                    Core features<\/td>25%<\/td>High<\/td><\/tr>
                                                                    Ease of use<\/td>15%<\/td>Medium<\/td><\/tr>
                                                                    Integrations & ecosystem<\/td>15%<\/td>High<\/td><\/tr>
                                                                    Security & compliance<\/td>10%<\/td>High<\/td><\/tr>
                                                                    Performance & reliability<\/td>10%<\/td>High<\/td><\/tr>
                                                                    Support & community<\/td>10%<\/td>Medium\u2013High<\/td><\/tr>
                                                                    Price \/ value<\/td>15%<\/td>Medium<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                                                                    \n\n\n\n

                                                                    Which Security Data Lakes Tool Is Right for You?<\/h2>\n\n\n\n
                                                                      \n
                                                                    • Solo users \/ SMBs:<\/strong> Managed platforms with simpler onboarding and predictable pricing<\/li>\n\n\n\n
                                                                    • Mid-market teams:<\/strong> Balance of SIEM capabilities and scalable storage<\/li>\n\n\n\n
                                                                    • Enterprises:<\/strong> Highly scalable, customizable data lake architectures<\/li>\n\n\n\n
                                                                    • Budget-conscious teams:<\/strong> Open or hybrid solutions with flexible storage<\/li>\n\n\n\n
                                                                    • Premium needs:<\/strong> Advanced analytics, ML, and long-term retention<\/li>\n<\/ul>\n\n\n\n

                                                                      Security, compliance, and integration requirements should always guide the final decision.<\/p>\n\n\n\n

                                                                      \n\n\n\n

                                                                      Frequently Asked Questions (FAQs)<\/h2>\n\n\n\n
                                                                        \n
                                                                      1. What is a Security Data Lake?<\/strong>
                                                                        A centralized platform for storing and analyzing large volumes of security telemetry.<\/li>\n\n\n\n
                                                                      2. How is it different from SIEM?<\/strong>
                                                                        Data lakes focus on scalable storage and analytics, while SIEMs emphasize alerts and workflows.<\/li>\n\n\n\n
                                                                      3. Do Security Data Lakes replace SIEMs?<\/strong>
                                                                        Not always; many organizations use both together.<\/li>\n\n\n\n
                                                                      4. Is long-term data retention important?<\/strong>
                                                                        Yes, especially for forensics and compliance.<\/li>\n\n\n\n
                                                                      5. Are these tools cloud-only?<\/strong>
                                                                        Most are cloud-native, but some support hybrid models.<\/li>\n\n\n\n
                                                                      6. Do I need data engineers?<\/strong>
                                                                        Advanced platforms often benefit from data engineering expertise.<\/li>\n\n\n\n
                                                                      7. How secure are Security Data Lakes?<\/strong>
                                                                        They typically include encryption, access controls, and audit logs.<\/li>\n\n\n\n
                                                                      8. What industries benefit most?<\/strong>
                                                                        Finance, healthcare, SaaS, and regulated industries.<\/li>\n\n\n\n
                                                                      9. Can small teams use them effectively?<\/strong>
                                                                        Yes, with managed or simplified offerings.<\/li>\n\n\n\n
                                                                      10. What is the biggest mistake buyers make?<\/strong>
                                                                        Choosing scale without considering usability and cost.<\/li>\n<\/ol>\n\n\n\n
                                                                        \n\n\n\n

                                                                        Conclusion<\/h2>\n\n\n\n

                                                                        Security Data Lakes are now essential for modern cybersecurity operations<\/strong>, enabling scalable storage, deep analytics, and long-term visibility. The right solution depends on data volume, team maturity, budget, and compliance needs<\/strong>. There is no single universal winner\u2014only the platform that best aligns with your organization\u2019s security strategy and operational reality.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                                                        Introduction Security Data Lakes have become a foundational component of modern cybersecurity architectures. As organizations generate massive volumes of security telemetry\u2014from endpoints, cloud workloads, networks, identities, and applications\u2014traditional SIEM platforms… <\/p>\n","protected":false},"author":58,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[11138],"tags":[24309,24319,24312,24316,24315,24314,24320,24311,24307,24318,24317,24308,24313,24310],"class_list":["post-58448","post","type-post","status-publish","format-standard","hentry","category-best-tools","tag-cloud-security-data-lake","tag-cloud-native-security-lake","tag-cybersecurity-data-lakes","tag-enterprise-security-data-lake","tag-log-management-data-lake","tag-security-analytics-data-lake","tag-security-big-data-analytics","tag-security-data-lake-platforms","tag-security-data-lakes","tag-security-log-analytics","tag-security-telemetry-storage","tag-siem-data-lake","tag-soc-data-lake-tools","tag-threat-hunting-data-lake"],"_links":{"self":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58448","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/comments?post=58448"}],"version-history":[{"count":1,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58448\/revisions"}],"predecessor-version":[{"id":58450,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58448\/revisions\/58450"}],"wp:attachment":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=58448"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=58448"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=58448"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}