{"id":32062,"date":"2023-04-08T06:00:00","date_gmt":"2023-04-08T13:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=32062"},"modified":"2023-04-10T09:48:15","modified_gmt":"2023-04-10T16:48:15","slug":"grafana-labs-observability-survey-2023-finds-centralization-saves-time-and-money-for-an-industry-plagued-by-tool-and-data-source-overload","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2023\/04\/08\/grafana-labs-observability-survey-2023-finds-centralization-saves-time-and-money-for-an-industry-plagued-by-tool-and-data-source-overload\/","title":{"rendered":"Grafana Labs Observability Survey 2023 Finds Centralization Saves Time and Money for an Industry Plagued by Tool and Data Source Overload"},"content":{"rendered":"<div class=\"wp-block-image\">\r\n<figure class=\"alignright size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"200\" height=\"109\" class=\"wp-image-32063\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/04\/Grafana_logo.png\" alt=\"\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/04\/Grafana_logo.png 200w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/04\/Grafana_logo-150x82.png 150w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/figure><\/div>\r\n\r\n\r\n<p><a href=\"https:\/\/grafana.com\/\">Grafana Labs<\/a>, the company behind the open and composable operational dashboards, announced the findings of the\u00a0<a href=\"https:\/\/grafana.com\/observability-survey-2023\/?mtm=press\" target=\"_blank\" rel=\"noreferrer noopener\">Grafana Labs Observability Survey 2023<\/a>. The report, which focused on the state of observability, found that organizations are challenged by tool sprawl and data source overload, with 52% of respondents reporting that their companies use 6 or more observability tools, including 11% that use 16 or more. To combat this, 70% of respondents say their companies have centralized observability, and of those, 83% have saved time or money as a result.\u00a0<\/p>\r\n\r\n\r\n\r\n<p>Pulling together responses from an anonymous online survey as well as more in-depth interviews with half a dozen observability practitioners, the research provides a look into where the industry is today and where it\u2019s headed in the future. Respondents from across industries, at organizations large and small, commented on observability tools, techniques, benefits, and challenges, and many reported how observability is helping their organizations save costs and drive efficiencies. Other key takeaways from the report include:<\/p>\r\n\r\n\r\n\r\n<ul>\r\n<li><strong>Organizations are using a wide range of observability tools.<\/strong>\u00a0Grafana (94%) and Prometheus (79%) were by far the most commonly used observability tools, which points to heavy Kubernetes usage. But respondents listed more than 20 others in active use, including established products like Elastic (44%), Datadog (19%), and Splunk (22%), as well as emerging tools like Grafana Loki (44%).<\/li>\r\n\r\n\r\n\r\n<li><strong>Tool and data overload varies across industry, company size.<\/strong>\u00a0Larger organizations tend to use more data sources: 41% of companies with more than 1,000 employees pull in 10+ data sources, compared to just 7% for companies with 100 employees or fewer. Industries leading in observability tool usage were financial services (31% use 10 or more tools) and government (27% use 10 or more tools).<\/li>\r\n\r\n\r\n\r\n<li><strong>Organizations are at different stages in their observability journey.<\/strong>\u00a0Nearly one-third of respondents haven\u2019t centralized observability yet, and some industries are further along than others. For example, 70% of financial sector companies have adopted centralized observability and saved time and money as a result, compared to 58% across all sectors.<\/li>\r\n\r\n\r\n\r\n<li><strong>Not all ROI is the same.<\/strong>\u00a0Different organizations have different objectives with their observability strategies. Yes, saving money is the overarching goal, but there are multiple paths to get there, including MTTx improvements, less toil and infrastructure maintenance, better adoption, increased developer productivity, less complexity, service level objectives (SLOs), better capacity planning, and better alerting and visibility. Among all respondents, 37% say they prioritize capacity planning when correlating data, 25% prioritize cost control, and 9% prioritize profitability and margin calculation.\u00a0\u00a0<\/li>\r\n\r\n\r\n\r\n<li><strong>Accountability, market maturity comes to observability.<\/strong>\u00a0The proper execution of SLOs is a good sign of a mature observability strategy. Most respondents say they are using them or moving in that direction, but they\u2019re not all at the same stage. Moreover, only slightly more are actively using SLIs\/SLOs (28%) than those that don\u2019t have them on their radar (21%).<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n<p><em>Sign up for the free insideBIGDATA\u00a0<a href=\"http:\/\/inside-bigdata.com\/newsletter\/\" target=\"_blank\" rel=\"noreferrer noopener\">newsletter<\/a>.<\/em><\/p>\r\n\r\n\r\n\r\n<p><em>Join us on Twitter:\u00a0<a href=\"https:\/\/twitter.com\/InsideBigData1\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/twitter.com\/InsideBigData1<\/a><\/em><\/p>\r\n\r\n\r\n\r\n<p><em>Join us on LinkedIn:\u00a0<a href=\"https:\/\/www.linkedin.com\/company\/insidebigdata\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.linkedin.com\/company\/insidebigdata\/<\/a><\/em><\/p>\r\n\r\n\r\n\r\n<p><em>Join us on Facebook:\u00a0<a href=\"https:\/\/www.facebook.com\/insideBIGDATANOW\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.facebook.com\/insideBIGDATANOW<\/a><\/em><\/p>\r\n","protected":false},"excerpt":{"rendered":"<p>Grafana Labs, the company behind the open and composable operational dashboards, announced the findings of the\u00a0Grafana Labs Observability Survey 2023. The report, which focused on the state of observability, found that organizations are challenged by tool sprawl and data source overload, with 52% of respondents reporting that their companies use 6 or more observability tools, including 11% that use 16 or more.<\/p>\n","protected":false},"author":10513,"featured_media":30424,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[65,115,63,64,87,180,56,84,1],"tags":[1200,1067,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Grafana Labs Observability Survey 2023 Finds Centralization Saves Time and Money for an Industry Plagued by Tool and Data Source Overload - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2023\/04\/08\/grafana-labs-observability-survey-2023-finds-centralization-saves-time-and-money-for-an-industry-plagued-by-tool-and-data-source-overload\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Grafana Labs Observability Survey 2023 Finds Centralization Saves Time and Money for an Industry Plagued by Tool and Data Source Overload - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"Grafana Labs, the company behind the open and composable operational dashboards, announced the findings of the\u00a0Grafana Labs Observability Survey 2023. The report, which focused on the state of observability, found that organizations are challenged by tool sprawl and data source overload, with 52% of respondents reporting that their companies use 6 or more observability tools, including 11% that use 16 or more.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2023\/04\/08\/grafana-labs-observability-survey-2023-finds-centralization-saves-time-and-money-for-an-industry-plagued-by-tool-and-data-source-overload\/\" \/>\n<meta property=\"og:site_name\" content=\"insideBIGDATA\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/insidebigdata\" \/>\n<meta property=\"article:published_time\" content=\"2023-04-08T13:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-04-10T16:48:15+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/09\/Observability_shutterstock_152448146.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"300\" \/>\n\t<meta property=\"og:image:height\" content=\"214\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Editorial Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Editorial Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2023\/04\/08\/grafana-labs-observability-survey-2023-finds-centralization-saves-time-and-money-for-an-industry-plagued-by-tool-and-data-source-overload\/\",\"url\":\"https:\/\/insidebigdata.com\/2023\/04\/08\/grafana-labs-observability-survey-2023-finds-centralization-saves-time-and-money-for-an-industry-plagued-by-tool-and-data-source-overload\/\",\"name\":\"Grafana Labs Observability Survey 2023 Finds Centralization Saves Time and Money for an Industry Plagued by Tool and Data Source Overload - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2023-04-08T13:00:00+00:00\",\"dateModified\":\"2023-04-10T16:48:15+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2023\/04\/08\/grafana-labs-observability-survey-2023-finds-centralization-saves-time-and-money-for-an-industry-plagued-by-tool-and-data-source-overload\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2023\/04\/08\/grafana-labs-observability-survey-2023-finds-centralization-saves-time-and-money-for-an-industry-plagued-by-tool-and-data-source-overload\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2023\/04\/08\/grafana-labs-observability-survey-2023-finds-centralization-saves-time-and-money-for-an-industry-plagued-by-tool-and-data-source-overload\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Grafana Labs Observability Survey 2023 Finds Centralization Saves Time and Money for an Industry Plagued by Tool and Data Source Overload\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning &amp; Machine Learning Strategies\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/insidebigdata.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9\",\"name\":\"Editorial Team\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g\",\"caption\":\"Editorial Team\"},\"sameAs\":[\"http:\/\/www.insidebigdata.com\"],\"url\":\"https:\/\/insidebigdata.com\/author\/editorial\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Grafana Labs Observability Survey 2023 Finds Centralization Saves Time and Money for an Industry Plagued by Tool and Data Source Overload - insideBIGDATA","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/insidebigdata.com\/2023\/04\/08\/grafana-labs-observability-survey-2023-finds-centralization-saves-time-and-money-for-an-industry-plagued-by-tool-and-data-source-overload\/","og_locale":"en_US","og_type":"article","og_title":"Grafana Labs Observability Survey 2023 Finds Centralization Saves Time and Money for an Industry Plagued by Tool and Data Source Overload - insideBIGDATA","og_description":"Grafana Labs, the company behind the open and composable operational dashboards, announced the findings of the\u00a0Grafana Labs Observability Survey 2023. The report, which focused on the state of observability, found that organizations are challenged by tool sprawl and data source overload, with 52% of respondents reporting that their companies use 6 or more observability tools, including 11% that use 16 or more.","og_url":"https:\/\/insidebigdata.com\/2023\/04\/08\/grafana-labs-observability-survey-2023-finds-centralization-saves-time-and-money-for-an-industry-plagued-by-tool-and-data-source-overload\/","og_site_name":"insideBIGDATA","article_publisher":"http:\/\/www.facebook.com\/insidebigdata","article_published_time":"2023-04-08T13:00:00+00:00","article_modified_time":"2023-04-10T16:48:15+00:00","og_image":[{"width":300,"height":214,"url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/09\/Observability_shutterstock_152448146.jpg","type":"image\/jpeg"}],"author":"Editorial Team","twitter_card":"summary_large_image","twitter_creator":"@insideBigData","twitter_site":"@insideBigData","twitter_misc":{"Written by":"Editorial Team","Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/insidebigdata.com\/2023\/04\/08\/grafana-labs-observability-survey-2023-finds-centralization-saves-time-and-money-for-an-industry-plagued-by-tool-and-data-source-overload\/","url":"https:\/\/insidebigdata.com\/2023\/04\/08\/grafana-labs-observability-survey-2023-finds-centralization-saves-time-and-money-for-an-industry-plagued-by-tool-and-data-source-overload\/","name":"Grafana Labs Observability Survey 2023 Finds Centralization Saves Time and Money for an Industry Plagued by Tool and Data Source Overload - insideBIGDATA","isPartOf":{"@id":"https:\/\/insidebigdata.com\/#website"},"datePublished":"2023-04-08T13:00:00+00:00","dateModified":"2023-04-10T16:48:15+00:00","author":{"@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9"},"breadcrumb":{"@id":"https:\/\/insidebigdata.com\/2023\/04\/08\/grafana-labs-observability-survey-2023-finds-centralization-saves-time-and-money-for-an-industry-plagued-by-tool-and-data-source-overload\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/insidebigdata.com\/2023\/04\/08\/grafana-labs-observability-survey-2023-finds-centralization-saves-time-and-money-for-an-industry-plagued-by-tool-and-data-source-overload\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/insidebigdata.com\/2023\/04\/08\/grafana-labs-observability-survey-2023-finds-centralization-saves-time-and-money-for-an-industry-plagued-by-tool-and-data-source-overload\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/insidebigdata.com\/"},{"@type":"ListItem","position":2,"name":"Grafana Labs Observability Survey 2023 Finds Centralization Saves Time and Money for an Industry Plagued by Tool and Data Source Overload"}]},{"@type":"WebSite","@id":"https:\/\/insidebigdata.com\/#website","url":"https:\/\/insidebigdata.com\/","name":"insideBIGDATA","description":"Your Source for AI, Data Science, Deep Learning &amp; Machine Learning Strategies","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/insidebigdata.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9","name":"Editorial Team","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g","caption":"Editorial Team"},"sameAs":["http:\/\/www.insidebigdata.com"],"url":"https:\/\/insidebigdata.com\/author\/editorial\/"}]}},"jetpack_featured_media_url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/09\/Observability_shutterstock_152448146.jpg","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-8l8","jetpack-related-posts":[{"id":32568,"url":"https:\/\/insidebigdata.com\/2023\/06\/07\/busting-data-observability-myths\/","url_meta":{"origin":32062,"position":0},"title":"Busting Data Observability Myths","date":"June 7, 2023","format":false,"excerpt":"In this sponsored article, Rohit Choudhary, co-founder and CEO of Acceldata, breaks down four common myths and misconceptions around observability. In today\u2019s economic climate, many companies are tightening their belts. They need solutions that help them run their business efficiently, smoothly, and reliably in order to maximize impact and keep\u2026","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2022\/09\/Observability_shutterstock_152448146.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":28929,"url":"https:\/\/insidebigdata.com\/2022\/04\/07\/observability-is-a-data-analytics-problem\/","url_meta":{"origin":32062,"position":1},"title":"Observability Is A Data Analytics Problem","date":"April 7, 2022","format":false,"excerpt":"In this special guest feature, Dotan Horovits, Technology Evangelist at Logz.io, delves into the three pillars of Observability (logs, metrics and traces), the ways in which Observability is defined and how the tech industry should be using it moving forward.","rel":"","context":"In &quot;Analytics&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2022\/04\/Logzio_pic.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":31210,"url":"https:\/\/insidebigdata.com\/2022\/12\/23\/data-leaders-looking-to-data-observability-to-overcome-data-quality-cost-and-pipeline-concerns\/","url_meta":{"origin":32062,"position":2},"title":"Data Leaders Looking to Data Observability to Overcome Data Quality, Cost and Pipeline Concerns","date":"December 23, 2022","format":false,"excerpt":"Acceldata, a market leader in data observability, conducted a survey of 200 data executives and found that they have major concerns including the lack of data pipeline visibility. Below are additional highlights from the results.","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2022\/09\/Observability_shutterstock_152448146.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":31910,"url":"https:\/\/insidebigdata.com\/2023\/03\/28\/acceldata-and-its-data-observability-platform-solving-big-data-management-challenges\/","url_meta":{"origin":32062,"position":3},"title":"Acceldata and its Data Observability Platform &#8211; Solving Big Data Management Challenges","date":"March 28, 2023","format":false,"excerpt":"In this video interview with Ashwin Rajeeva, co-founder and CTO of Acceldata, we talk about the company\u2019s data observability platform \u2013 what \"data observability\" is all about and why it\u2019s critically important in big data analytics and machine learning development environments.","rel":"","context":"In &quot;Analytics&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2023\/03\/logo-acceldata-1100x825-1.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":32010,"url":"https:\/\/insidebigdata.com\/2023\/04\/04\/slidecast-ashwin-rajeev-co-founder-cto-of-acceldata-discusses-data-observability\/","url_meta":{"origin":32062,"position":4},"title":"Slidecast: Ashwin Rajeeva, Co-founder &#038; CTO of Acceldata Discusses Data Observability","date":"April 4, 2023","format":false,"excerpt":"In this slidecast presentation, Ashwin Rajeev from Acceldata\u00a0describes the company\u2019s data observability solutions. Acceldata solutions allow you to gain comprehensive insights into your data stack to improve data and pipeline reliability, platform performance, and spend efficiency.","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2023\/03\/Ashwin_Rajeev.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":30422,"url":"https:\/\/insidebigdata.com\/2022\/09\/24\/video-highlights-why-does-observability-matter\/","url_meta":{"origin":32062,"position":5},"title":"Video Highlights: Why Does Observability Matter?","date":"September 24, 2022","format":false,"excerpt":"Why does observability matter? Isn\u2019t observability just a fancier word for monitoring? Observability has become a buzz word in the big data space. It\u2019s thrown around so often, it can be easy to forget what it even really means. In this video presentation, our friends over at Pepperdata provide some\u2026","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2022\/09\/Observability_shutterstock_152448146.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/32062"}],"collection":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/users\/10513"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=32062"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/32062\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media\/30424"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=32062"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=32062"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=32062"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}