{"id":12050,"date":"2014-10-14T08:34:11","date_gmt":"2014-10-14T15:34:11","guid":{"rendered":"http:\/\/inside-bigdata.com\/?p=12050"},"modified":"2014-10-14T08:35:41","modified_gmt":"2014-10-14T15:35:41","slug":"mongodb-lowers-operational-effort-popular-database-95-percent","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2014\/10\/14\/mongodb-lowers-operational-effort-popular-database-95-percent\/","title":{"rendered":"MongoDB Lowers Operational Effort of Popular Database by 95 Percent"},"content":{"rendered":"<p><a href=\"http:\/\/insidebigdata.com\/wp-content\/uploads\/2014\/04\/mongodb_logo.png\"><img decoding=\"async\" loading=\"lazy\" class=\"alignright size-full wp-image-8990\" alt=\"mongodb_logo\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2014\/04\/mongodb_logo.png\" width=\"175\" height=\"121\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2014\/04\/mongodb_logo.png 325w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2014\/04\/mongodb_logo-300x207.png 300w\" sizes=\"(max-width: 175px) 100vw, 175px\" \/><\/a><a href=\"http:\/\/www.mongodb.com\" target=\"_blank\">MongoDB<\/a> today announced the general availability of major enhancements to MongoDB Management Service (MMS), its popular cloud service for managing the world\u2019s fastest growing database ecosystem. MMS dramatically simplifies operations for MongoDB deployments of any size, reducing operational overhead by 95 percent for many operations.<\/p>\n<blockquote><p>MMS completely changes the way people run MongoDB,\u201d said Eliot Horowitz, Co-founder and CTO of MongoDB Inc. \u201cMMS makes it simple \u2013 most operations have been reduced to just a few clicks. MMS also makes operations reliable \u2013 everything we know about running MongoDB is built into MMS \u2013 upgrades, scaling, rebalancing, and other critical operations are performed with no downtime to your app. And we\u2019ve packaged MMS as a service with an elastic pricing model, so it works the way most people want to do business today.\u201d<\/p><\/blockquote>\n<p><span class=\"embed-youtube\" style=\"text-align:center; display: block;\"><iframe loading=\"lazy\" class=\"youtube-player\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/qhFRBzc3Gdc?version=3&#038;rel=1&#038;showsearch=0&#038;showinfo=1&#038;iv_load_policy=1&#038;fs=1&#038;hl=en-US&#038;autohide=2&#038;wmode=transparent\" allowfullscreen=\"true\" style=\"border:0;\" sandbox=\"allow-scripts allow-same-origin allow-popups allow-presentation\"><\/iframe><\/span><\/p>\n<p>MMS is the easiest way to run MongoDB. Key benefits include:<\/p>\n<ul>\n<li><b>Deployment. <\/b>MMS provisions any MongoDB topology, at scale, with the click of a button. Users can be sure their MongoDB deployments are performed fast and reliably, with minimal effort by their operations teams.<\/li>\n<li><b>Advanced AWS Integration<\/b>. If you\u2019re on Amazon AWS, MMS can provision and optimize your instances for MongoDB automatically.<\/li>\n<li><b>Upgrades<\/b>. MMS manages upgrades and downgrades of deployments in minutes, with no downtime. Users stay on top of the latest releases of MongoDB without impacting their business.<\/li>\n<li><b>Scale Out<\/b>. Add capacity, without taking your application offline. Users can rapidly scale their deployments when they encounter explosive growth.<\/li>\n<li><b>Infrastructure Agnostic<\/b>. Works with any internet-connected infrastructure: public cloud, private cloud, even laptops. Using MMS users can easily control all their deployments through a single interface, no matter where they run.<\/li>\n<li><b>Continuous Backups<\/b>. MMS backs up your deployments continuously, with no impact to the overhead of your deployment. Your backups are generally only seconds behind the production database.<\/li>\n<li><b>Point-in-time Recovery<\/b>. Users can restore their deployments to any point in time.<\/li>\n<li><b>Performance Alerts<\/b>. Users can be notified on custom alerts for over 100 system metrics, via email, SMS, PagerDuty, HipChat, and others.<\/li>\n<\/ul>\n<blockquote><p>The cost of managing traditional databases is high. Mistakes made during routine maintenance are responsible for 80 percent of application downtime,\u201d said Dev Ittycheria, President and CEO of MongoDB Inc. \u201cWith MMS we have reimagined the management of the database. Today MongoDB is downloaded over 10,000 times a day, and MMS lets users spend their resources building their apps instead of worrying about their ops.\u201d<\/p><\/blockquote>\n<p><b>Pricing<\/b><\/p>\n<p>MMS is free for the first 8 servers, then $50\/server per month. Optional backup storage is priced at $2.50\/GB per month, based on the size of the data. Billing is available via credit card or invoice.<\/p>\n<p>&nbsp;<\/p>\n<p><em>Sign up for the free insideBIGDATA\u00a0<a href=\"http:\/\/insidebigdata.com\/newsletter\/\" target=\"_blank\">newsletter<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>MongoDB today announced the general availability of major enhancements to MongoDB Management Service (MMS), its popular cloud service for managing the world\u2019s fastest growing database ecosystem. MMS dramatically simplifies operations for MongoDB deployments of any size, reducing operational overhead by 95 percent for many operations.<\/p>\n","protected":false},"author":37,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[64,180,214,56,1],"tags":[96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>MongoDB Lowers Operational Effort of Popular Database by 95 Percent - insideBIGDATA<\/title>\n<meta name=\"description\" content=\"MongoDB Lowers Operational Effort of Popular Database by 95 Percent\" \/>\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\/2014\/10\/14\/mongodb-lowers-operational-effort-popular-database-95-percent\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MongoDB Lowers Operational Effort of Popular Database by 95 Percent - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"MongoDB Lowers Operational Effort of Popular Database by 95 Percent\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2014\/10\/14\/mongodb-lowers-operational-effort-popular-database-95-percent\/\" \/>\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=\"2014-10-14T15:34:11+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2014-10-14T15:35:41+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/insidebigdata.com\/wp-content\/uploads\/2014\/04\/mongodb_logo.png\" \/>\n<meta name=\"author\" content=\"Daniel Gutierrez\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@AMULETAnalytics\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel Gutierrez\" \/>\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\/2014\/10\/14\/mongodb-lowers-operational-effort-popular-database-95-percent\/\",\"url\":\"https:\/\/insidebigdata.com\/2014\/10\/14\/mongodb-lowers-operational-effort-popular-database-95-percent\/\",\"name\":\"MongoDB Lowers Operational Effort of Popular Database by 95 Percent - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2014-10-14T15:34:11+00:00\",\"dateModified\":\"2014-10-14T15:35:41+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed\"},\"description\":\"MongoDB Lowers Operational Effort of Popular Database by 95 Percent\",\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2014\/10\/14\/mongodb-lowers-operational-effort-popular-database-95-percent\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2014\/10\/14\/mongodb-lowers-operational-effort-popular-database-95-percent\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2014\/10\/14\/mongodb-lowers-operational-effort-popular-database-95-percent\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"MongoDB Lowers Operational Effort of Popular Database by 95 Percent\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning &amp; 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Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \"data scientist\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. 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MongoDB 3.4 adds key features that embrace additional data models, combining operational and analytical processing, elastic cross-region scaling and sophisticated operational tooling to simplify data management for customers.","rel":"","context":"In &quot;Data Storage&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2014\/04\/mongodb_logo.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":11796,"url":"https:\/\/insidebigdata.com\/2014\/10\/02\/weather-channel-now-transitioning-digital-properties-mongodb\/","url_meta":{"origin":12050,"position":3},"title":"The Weather Channel Transitioning All Digital Properties to MongoDB","date":"October 2, 2014","format":false,"excerpt":"MongoDB today announced that weather.com, the online home of The Weather Channel brand, uses MongoDB to serve data for the company\u2019s newest iOS and Android apps. The apps provide trusted, accurate weather data to more than 40 million users, including severe weather alerts to subscribers in affected geographic locations, in\u2026","rel":"","context":"In &quot;Analytics&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":15415,"url":"https:\/\/insidebigdata.com\/2016\/07\/10\/sumo-logic-partners-with-mongodb-to-monitor-and-troubleshoot-modern-applications\/","url_meta":{"origin":12050,"position":4},"title":"Sumo Logic Partners with MongoDB to Monitor and Troubleshoot Modern Applications","date":"July 10, 2016","format":false,"excerpt":"Sumo Logic, a leading cloud-native, machine data analytics service, announced the availability of its Sumo Logic App for MongoDB to provide a deeper, in-depth view into the operational health and performance of MongoDB deployments than ever before.","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":19342,"url":"https:\/\/insidebigdata.com\/2017\/11\/08\/mongodb-3-6-empowers-enterprises-developers-move-speed-data\/","url_meta":{"origin":12050,"position":5},"title":"MongoDB 3.6 Empowers Enterprises and Developers to Move at the Speed of Data","date":"November 8, 2017","format":false,"excerpt":"MongoDB Inc. 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