{"id":53039,"date":"2025-09-16T11:12:46","date_gmt":"2025-09-16T11:12:46","guid":{"rendered":"https:\/\/www.devopsschool.com\/blog\/?p=53039"},"modified":"2026-02-21T08:25:51","modified_gmt":"2026-02-21T08:25:51","slug":"top-10-ai-oceanographic-research-tools-in-2025-features-pros-cons-comparison","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/blog\/top-10-ai-oceanographic-research-tools-in-2025-features-pros-cons-comparison\/","title":{"rendered":"Top 10 AI Oceanographic Research Tools in 2026: Features, Pros, Cons &amp; Comparison"},"content":{"rendered":"\n<h1 class=\"wp-block-heading\">Introduction<\/h1>\n\n\n\n<p>In 2026, <strong>AI Oceanographic Research Tools<\/strong> are transforming how scientists, governments, and industries study and protect our oceans. With climate change, rising sea levels, and marine biodiversity at risk, ocean research has become more critical than ever. Artificial Intelligence (AI) now powers advanced modeling, real-time data collection, predictive analytics, and autonomous systems that help researchers better understand ocean currents, marine life, pollution, and global climate patterns.<\/p>\n\n\n\n<p>From satellite data analysis to underwater drones and predictive climate models, AI tools are enabling unprecedented accuracy and efficiency. Choosing the right tool depends on your goals\u2014whether you\u2019re a marine scientist, research institute, offshore energy company, or environmental NGO. Factors like scalability, integration with sensors, data visualization, and affordability all matter when selecting the <strong>best AI Oceanographic Research Tools<\/strong> for your needs.<\/p>\n\n\n\n<p>In this guide, we\u2019ll explore the <strong>top 10 AI Oceanographic Research Tools in 2026<\/strong>, compare their features, highlight their pros and cons, and help you decide which solution best fits your research objectives.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h2 class=\"wp-block-heading\">Top 10 AI Oceanographic Research Tools (2026)<\/h2>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"686\" src=\"https:\/\/www.devopsschool.com\/blog\/wp-content\/uploads\/2025\/09\/2_compressed-12.jpg\" alt=\"\" class=\"wp-image-53748\" style=\"width:840px;height:auto\" srcset=\"https:\/\/www.devopsschool.com\/blog\/wp-content\/uploads\/2025\/09\/2_compressed-12.jpg 800w, https:\/\/www.devopsschool.com\/blog\/wp-content\/uploads\/2025\/09\/2_compressed-12-300x257.jpg 300w, https:\/\/www.devopsschool.com\/blog\/wp-content\/uploads\/2025\/09\/2_compressed-12-768x659.jpg 768w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">1. <strong>DeepSea AI (by OceanMind)<\/strong><\/h3>\n\n\n\n<p><strong>Short Description:<\/strong> A leading platform that uses AI for monitoring illegal fishing, marine traffic, and ecosystem impact, ideal for governments and NGOs.<\/p>\n\n\n\n<p><strong>Key Features:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Real-time monitoring of fishing vessels via satellite AI.<\/li>\n\n\n\n<li>Machine learning models for species detection and migration analysis.<\/li>\n\n\n\n<li>Integrates with global AIS (Automatic Identification System) data.<\/li>\n\n\n\n<li>Predictive analytics for overfishing hotspots.<\/li>\n\n\n\n<li>Climate impact assessment models.<\/li>\n<\/ul>\n\n\n\n<p><strong>Pros:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Strong regulatory and compliance applications.<\/li>\n\n\n\n<li>Excellent integration with policy tools.<\/li>\n<\/ul>\n\n\n\n<p><strong>Cons:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Requires training for best use.<\/li>\n\n\n\n<li>Limited customization for small research teams.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h3 class=\"wp-block-heading\">2. <strong>BlueBrain Ocean Simulator<\/strong><\/h3>\n\n\n\n<p><strong>Short Description:<\/strong> AI-powered digital twin of the ocean for simulating currents, temperatures, and marine biodiversity scenarios.<\/p>\n\n\n\n<p><strong>Key Features:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>4D simulation of global oceans with AI modeling.<\/li>\n\n\n\n<li>Predicts long-term climate and ocean current shifts.<\/li>\n\n\n\n<li>Multi-disciplinary dataset integration (satellite, buoys, ROVs).<\/li>\n\n\n\n<li>Supports scenario testing for policy and conservation.<\/li>\n\n\n\n<li>High-resolution visualization dashboards.<\/li>\n<\/ul>\n\n\n\n<p><strong>Pros:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Advanced modeling and forecasting.<\/li>\n\n\n\n<li>Great for universities and policy research.<\/li>\n<\/ul>\n\n\n\n<p><strong>Cons:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Expensive for smaller institutions.<\/li>\n\n\n\n<li>Requires powerful hardware\/cloud support.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h3 class=\"wp-block-heading\">3. <strong>AquaVision AI (by IBM Research)<\/strong><\/h3>\n\n\n\n<p><strong>Short Description:<\/strong> Combines computer vision with AI to study coral reefs, marine biodiversity, and underwater imagery.<\/p>\n\n\n\n<p><strong>Key Features:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Deep learning for species recognition.<\/li>\n\n\n\n<li>Automated coral reef health assessments.<\/li>\n\n\n\n<li>Integrates with drones, submersibles, and ROV cameras.<\/li>\n\n\n\n<li>Cloud-based processing and storage.<\/li>\n\n\n\n<li>Cross-collaboration features for research teams.<\/li>\n<\/ul>\n\n\n\n<p><strong>Pros:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Highly accurate biodiversity insights.<\/li>\n\n\n\n<li>Easy collaboration for distributed teams.<\/li>\n<\/ul>\n\n\n\n<p><strong>Cons:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Subscription pricing may be steep.<\/li>\n\n\n\n<li>Limited offline functionality.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h3 class=\"wp-block-heading\">4. <strong>OceanNet Predictive Analytics<\/strong><\/h3>\n\n\n\n<p><strong>Short Description:<\/strong> Machine learning platform for ocean weather forecasting, tsunami prediction, and disaster preparedness.<\/p>\n\n\n\n<p><strong>Key Features:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AI-driven early warning systems for tsunamis and cyclones.<\/li>\n\n\n\n<li>Real-time integration with weather satellites and buoys.<\/li>\n\n\n\n<li>Historical data analysis for climate resilience.<\/li>\n\n\n\n<li>High-precision coastal flood risk mapping.<\/li>\n\n\n\n<li>APIs for government and private sector use.<\/li>\n<\/ul>\n\n\n\n<p><strong>Pros:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Strong disaster management use cases.<\/li>\n\n\n\n<li>High accuracy for extreme event prediction.<\/li>\n<\/ul>\n\n\n\n<p><strong>Cons:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Limited biodiversity analysis features.<\/li>\n\n\n\n<li>Best suited for governments\/large orgs.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h3 class=\"wp-block-heading\">5. <strong>MarineMind Robotics Suite<\/strong><\/h3>\n\n\n\n<p><strong>Short Description:<\/strong> AI-driven control system for autonomous underwater vehicles (AUVs) and robotic swarms.<\/p>\n\n\n\n<p><strong>Key Features:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Swarm intelligence for coordinated missions.<\/li>\n\n\n\n<li>Object detection and terrain mapping with AI vision.<\/li>\n\n\n\n<li>Adaptive navigation in deep-sea conditions.<\/li>\n\n\n\n<li>Real-time communication and control.<\/li>\n\n\n\n<li>Integration with environmental sampling devices.<\/li>\n<\/ul>\n\n\n\n<p><strong>Pros:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Game-changing for deep-sea exploration.<\/li>\n\n\n\n<li>Reduces human operational risk.<\/li>\n<\/ul>\n\n\n\n<p><strong>Cons:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>High initial investment.<\/li>\n\n\n\n<li>Requires skilled operators.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h3 class=\"wp-block-heading\">6. <strong>EcoMarine AI Analytics<\/strong><\/h3>\n\n\n\n<p><strong>Short Description:<\/strong> AI tool designed to monitor and reduce ocean pollution using satellite and sensor data.<\/p>\n\n\n\n<p><strong>Key Features:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AI detection of oil spills, plastics, and pollutants.<\/li>\n\n\n\n<li>Predictive tracking of microplastics movement.<\/li>\n\n\n\n<li>Pollution source identification (ships, factories).<\/li>\n\n\n\n<li>Real-time dashboard alerts.<\/li>\n\n\n\n<li>Integrates with NGOs and government frameworks.<\/li>\n<\/ul>\n\n\n\n<p><strong>Pros:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Excellent for environmental NGOs.<\/li>\n\n\n\n<li>Strong pollution detection algorithms.<\/li>\n<\/ul>\n\n\n\n<p><strong>Cons:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Limited biodiversity monitoring.<\/li>\n\n\n\n<li>Relies heavily on satellite data coverage.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h3 class=\"wp-block-heading\">7. <strong>Poseidon AI (by NOAA &amp; MIT Collaboration)<\/strong><\/h3>\n\n\n\n<p><strong>Short Description:<\/strong> Government-backed open-source AI platform for marine data processing and oceanographic modeling.<\/p>\n\n\n\n<p><strong>Key Features:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Open-source framework with modular tools.<\/li>\n\n\n\n<li>Supports AI-based data cleaning and modeling.<\/li>\n\n\n\n<li>Works with ocean sensor arrays and ARGO floats.<\/li>\n\n\n\n<li>Large user community and free extensions.<\/li>\n\n\n\n<li>Strong government research credibility.<\/li>\n<\/ul>\n\n\n\n<p><strong>Pros:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Free and open-source.<\/li>\n\n\n\n<li>Flexible and customizable.<\/li>\n<\/ul>\n\n\n\n<p><strong>Cons:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Requires technical expertise.<\/li>\n\n\n\n<li>Limited user support compared to commercial tools.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h3 class=\"wp-block-heading\">8. <strong>WaveAI Dynamics<\/strong><\/h3>\n\n\n\n<p><strong>Short Description:<\/strong> Specializes in wave and tidal energy forecasting using AI models, popular with renewable energy companies.<\/p>\n\n\n\n<p><strong>Key Features:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Predictive modeling for wave energy projects.<\/li>\n\n\n\n<li>AI tide forecasting for offshore planning.<\/li>\n\n\n\n<li>Risk modeling for coastal infrastructure.<\/li>\n\n\n\n<li>Data visualization for engineers.<\/li>\n\n\n\n<li>API integrations with energy firms.<\/li>\n<\/ul>\n\n\n\n<p><strong>Pros:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Tailored for the renewable energy sector.<\/li>\n\n\n\n<li>Increases efficiency in wave energy farms.<\/li>\n<\/ul>\n\n\n\n<p><strong>Cons:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Narrow use case (not for general research).<\/li>\n\n\n\n<li>High cost for small startups.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h3 class=\"wp-block-heading\">9. <strong>BioMarine Deep Learning Lab<\/strong><\/h3>\n\n\n\n<p><strong>Short Description:<\/strong> Research-focused AI platform for genomics, marine biology, and microbiome studies.<\/p>\n\n\n\n<p><strong>Key Features:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AI-powered DNA sequencing and analysis.<\/li>\n\n\n\n<li>Predicts marine species adaptation trends.<\/li>\n\n\n\n<li>Integrates with genomic databases.<\/li>\n\n\n\n<li>Machine learning for population studies.<\/li>\n\n\n\n<li>Data-driven marine disease tracking.<\/li>\n<\/ul>\n\n\n\n<p><strong>Pros:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Ideal for advanced marine biology research.<\/li>\n\n\n\n<li>Unique genomics capabilities.<\/li>\n<\/ul>\n\n\n\n<p><strong>Cons:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Niche application.<\/li>\n\n\n\n<li>Steep learning curve.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h3 class=\"wp-block-heading\">10. <strong>HydroSense AI Cloud<\/strong><\/h3>\n\n\n\n<p><strong>Short Description:<\/strong> Cloud-based AI solution for ocean monitoring projects with flexible scalability.<\/p>\n\n\n\n<p><strong>Key Features:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AI-driven current, salinity, and pH analysis.<\/li>\n\n\n\n<li>Scalable for small and large projects.<\/li>\n\n\n\n<li>Mobile dashboard access.<\/li>\n\n\n\n<li>Easy integration with IoT ocean sensors.<\/li>\n\n\n\n<li>Multi-user project management tools.<\/li>\n<\/ul>\n\n\n\n<p><strong>Pros:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Flexible and scalable.<\/li>\n\n\n\n<li>Great for collaborative teams.<\/li>\n<\/ul>\n\n\n\n<p><strong>Cons:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Subscription tiers may add up quickly.<\/li>\n\n\n\n<li>Internet-dependent for most features.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h2 class=\"wp-block-heading\">Comparison Table<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Tool Name<\/th><th>Best For<\/th><th>Platforms Supported<\/th><th>Standout Feature<\/th><th>Pricing<\/th><th>Rating (avg)<\/th><\/tr><\/thead><tbody><tr><td>DeepSea AI<\/td><td>Governments, NGOs<\/td><td>Web\/Cloud<\/td><td>Illegal fishing detection<\/td><td>Starts at $499\/mo<\/td><td>4.7\/5<\/td><\/tr><tr><td>BlueBrain Ocean<\/td><td>Universities, policy research<\/td><td>Desktop\/Cloud<\/td><td>Digital ocean twin simulations<\/td><td>Custom pricing<\/td><td>4.8\/5<\/td><\/tr><tr><td>AquaVision AI<\/td><td>Coral reef &amp; biodiversity studies<\/td><td>Cloud\/Web<\/td><td>AI underwater imaging<\/td><td>Starts at $299\/mo<\/td><td>4.6\/5<\/td><\/tr><tr><td>OceanNet Analytics<\/td><td>Governments, disaster response<\/td><td>Web\/Cloud API<\/td><td>Tsunami\/cyclone prediction<\/td><td>Custom pricing<\/td><td>4.9\/5<\/td><\/tr><tr><td>MarineMind Robotics<\/td><td>Deep-sea exploration<\/td><td>Hardware + Cloud<\/td><td>AI robotic swarms<\/td><td>Starts at $50,000\/unit<\/td><td>4.7\/5<\/td><\/tr><tr><td>EcoMarine AI<\/td><td>NGOs, pollution monitoring<\/td><td>Web\/Cloud<\/td><td>Plastic &amp; oil spill detection<\/td><td>Starts at $199\/mo<\/td><td>4.5\/5<\/td><\/tr><tr><td>Poseidon AI<\/td><td>Open-source research teams<\/td><td>Open Source<\/td><td>Modular open framework<\/td><td>Free<\/td><td>4.4\/5<\/td><\/tr><tr><td>WaveAI Dynamics<\/td><td>Renewable energy firms<\/td><td>Cloud\/Web<\/td><td>Wave\/tidal energy forecasting<\/td><td>Starts at $499\/mo<\/td><td>4.6\/5<\/td><\/tr><tr><td>BioMarine DL Lab<\/td><td>Genomics &amp; biology researchers<\/td><td>Cloud\/Lab Systems<\/td><td>Marine DNA analysis<\/td><td>Custom academic pricing<\/td><td>4.7\/5<\/td><\/tr><tr><td>HydroSense AI<\/td><td>Multi-disciplinary teams<\/td><td>Cloud\/Mobile<\/td><td>Scalable ocean data integration<\/td><td>Free trial \/ $149+ plans<\/td><td>4.6\/5<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h2 class=\"wp-block-heading\">Which AI Oceanographic Research Tool is Right for You?<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Governments &amp; NGOs:<\/strong> Choose <strong>DeepSea AI<\/strong> or <strong>EcoMarine AI<\/strong> for compliance, illegal fishing detection, and pollution monitoring.<\/li>\n\n\n\n<li><strong>Universities &amp; Climate Researchers:<\/strong> <strong>BlueBrain Ocean Simulator<\/strong> and <strong>Poseidon AI<\/strong> provide advanced modeling and open-source flexibility.<\/li>\n\n\n\n<li><strong>Marine Biologists &amp; Ecologists:<\/strong> <strong>AquaVision AI<\/strong> and <strong>BioMarine DL Lab<\/strong> are ideal for species recognition and genomics.<\/li>\n\n\n\n<li><strong>Energy Companies:<\/strong> <strong>WaveAI Dynamics<\/strong> helps optimize renewable energy projects.<\/li>\n\n\n\n<li><strong>Exploration Teams:<\/strong> <strong>MarineMind Robotics Suite<\/strong> is best for AUVs and deep-sea operations.<\/li>\n\n\n\n<li><strong>Collaborative Projects &amp; NGOs on Budget:<\/strong> <strong>HydroSense AI<\/strong> offers scalable cloud solutions.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p>The future of ocean science is being redefined by <strong>AI Oceanographic Research Tools<\/strong>. In 2026, these platforms enable better monitoring of marine ecosystems, more accurate predictions of extreme events, and smarter conservation strategies. Whether you are a government agency, research institution, or energy company, adopting AI tools can significantly enhance your ability to study, protect, and benefit from our oceans.<\/p>\n\n\n\n<p>To get the most value, start with demos, explore free\/open-source tools like <strong>Poseidon AI<\/strong>, and invest in specialized solutions aligned with your research needs. The ocean is vast, and AI is our best ally in exploring and preserving it.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h2 class=\"wp-block-heading\">FAQs<\/h2>\n\n\n\n<p><strong>Q1. What are AI Oceanographic Research Tools?<\/strong><br>They are AI-powered platforms and software that help scientists and organizations analyze, monitor, and predict ocean behavior, ecosystems, and climate impacts.<\/p>\n\n\n\n<p><strong>Q2. Which is the best tool for ocean pollution monitoring?<\/strong><br><strong>EcoMarine AI<\/strong> is specifically designed for tracking plastics, oil spills, and pollutants.<\/p>\n\n\n\n<p><strong>Q3. Are there free AI Oceanographic Research Tools?<\/strong><br>Yes, <strong>Poseidon AI<\/strong> is open-source and widely used in academic\/government research.<\/p>\n\n\n\n<p><strong>Q4. Can these tools predict tsunamis and cyclones?<\/strong><br>Yes, <strong>OceanNet Predictive Analytics<\/strong> specializes in disaster forecasting and coastal risk mapping.<\/p>\n\n\n\n<p><strong>Q5. Do small research teams need expensive AI tools?<\/strong><br>Not necessarily. Tools like <strong>HydroSense AI<\/strong> offer affordable cloud-based plans that scale with team size.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n\n\n\n<h2 class=\"wp-block-heading\">Meta Description<\/h2>\n\n\n\n<p>Discover the <strong>Top 10 AI Oceanographic Research Tools in 2026<\/strong>. Compare features, pros, cons &amp; pricing to find the best AI software for ocean research.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introduction In 2026, AI Oceanographic Research Tools are transforming how scientists, governments, and industries study and protect our oceans. With climate change, rising sea levels, and marine biodiversity at risk, ocean research has become more critical than ever. Artificial Intelligence (AI) now powers advanced modeling, real-time data collection, predictive analytics, and autonomous systems that help&#8230;<\/p>\n","protected":false},"author":54,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","_joinchat":[],"footnotes":""},"categories":[2],"tags":[],"class_list":["post-53039","post","type-post","status-publish","format-standard","hentry","category-uncategorised"],"_links":{"self":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/53039","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\/54"}],"replies":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/comments?post=53039"}],"version-history":[{"count":4,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/53039\/revisions"}],"predecessor-version":[{"id":59785,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/53039\/revisions\/59785"}],"wp:attachment":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=53039"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=53039"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=53039"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}