{"id":15212,"date":"2016-06-22T06:00:44","date_gmt":"2016-06-22T13:00:44","guid":{"rendered":"http:\/\/insidebigdata.com\/?p=15212"},"modified":"2016-06-18T09:51:38","modified_gmt":"2016-06-18T16:51:38","slug":"mlab-launches-private-environments-on-aws","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2016\/06\/22\/mlab-launches-private-environments-on-aws\/","title":{"rendered":"MongoDB-as-a-Service: mLab Launches Private Environments on AWS"},"content":{"rendered":"<p><img decoding=\"async\" loading=\"lazy\" class=\"alignright size-full wp-image-15213\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2016\/06\/mlab_logo.png\" alt=\"mlab_logo\" width=\"178\" height=\"125\" \/><a href=\"http:\/\/www.mlab.com\/\" target=\"_blank\">mLab<\/a>, the fully managed cloud database service featuring automated provisioning, scaling, and management of MongoDB databases, today announced the private beta of Private Environments. mLab Private Environments are virtual private networks that customers can provision to house their various database deployments hosted with mLab.<\/p>\n<p>Private Environments provide the security benefits of self-hosting database deployments without the headache of self-hosting. With Private Environments, customers can use all of the traditional network security best-practices and techniques for designing their application. Customers can:<\/p>\n<ul>\n<li>isolate their database from public networks while allowing secure access to their application infrastructure<\/li>\n<li>create sophisticated network topologies to ensure least privilege access to their database deployments using CIDR ranges and AWS Security Groups<\/li>\n<li>auto-scale their application tier without having to modify database firewall rules<\/li>\n<\/ul>\n<blockquote><p>As an early beta user of Private Environments, we&#8217;ve appreciated the added level of security it provides,\u201d said Chris Lambert, CTO, Lyft. \u201cThe private network created by Private Environments keeps our infrastructure secure as we continue to grow, and makes it easy for our team to provision new application servers and auto-scale without needing to modify database firewall rules. We\u2019ve been using mLab\u2019s cloud-hosted MongoDB for several years and it has played a big role in helping Lyft scale.\u201d<\/p><\/blockquote>\n<p>The new solution is engineered to be a novel way for customers to use virtual private networks through a DBaaS provider. With Private Environments, mLab has created an isolated and self-contained solution that securely and seamlessly integrates into an existing stack as though the databases were inside a customer\u2019s own VPC. The result is network security that is both operationally easy and flexible.<\/p>\n<p>mLab\u2019s cloud database-as-a-service platform hosts over 300,000 MongoDB deployments, powering companies like Turner, Lyft, and Whole Foods Market. Private Environments is the first of several releases slated for 2016 as mLab continues to debut new cloud infrastructure capabilities.<\/p>\n<blockquote><p>mLab is hands-down the easiest way to run MongoDB on AWS,\u201d said Will Shulman, CEO, mLab. \u201cWe believe that constantly managing database infrastructure isn\u2019t something most developers should have to worry about; mLab\u2019s platform and tools are designed to automatically provision, host, scale, monitor and backup your MongoDB databases. Private Environments is a powerful new capability that furthers mLab\u2019s goal of providing cloud infrastructure solutions that are both simple and secure. We\u2019re excited for developers to try it out.\u201d<\/p><\/blockquote>\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>mLab, the fully managed cloud database service featuring automated provisioning, scaling, and management of MongoDB databases, today announced the private beta of Private Environments. <\/p>\n","protected":false},"author":37,"featured_media":15213,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[68,87,180,214,56,1],"tags":[317,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>MongoDB-as-a-Service: mLab Launches Private Environments on AWS - 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\/2016\/06\/22\/mlab-launches-private-environments-on-aws\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MongoDB-as-a-Service: mLab Launches Private Environments on AWS - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"mLab, the fully managed cloud database service featuring automated provisioning, scaling, and management of MongoDB databases, today announced the private beta of Private Environments.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2016\/06\/22\/mlab-launches-private-environments-on-aws\/\" \/>\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=\"2016-06-22T13:00:44+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2016-06-18T16:51:38+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2016\/06\/mlab_logo.png\" \/>\n\t<meta property=\"og:image:width\" content=\"178\" \/>\n\t<meta property=\"og:image:height\" content=\"125\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/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\/2016\/06\/22\/mlab-launches-private-environments-on-aws\/\",\"url\":\"https:\/\/insidebigdata.com\/2016\/06\/22\/mlab-launches-private-environments-on-aws\/\",\"name\":\"MongoDB-as-a-Service: mLab Launches Private Environments on AWS - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2016-06-22T13:00:44+00:00\",\"dateModified\":\"2016-06-18T16:51:38+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2016\/06\/22\/mlab-launches-private-environments-on-aws\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2016\/06\/22\/mlab-launches-private-environments-on-aws\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2016\/06\/22\/mlab-launches-private-environments-on-aws\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"MongoDB-as-a-Service: mLab Launches Private Environments on AWS\"}]},{\"@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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