After Migrating to mLab, ZIG360 is Ready to Optimize Your Professional Networking

Our latest case study explores ID360’s new application, ZIG360. ID360 is a global company providing training and coaching to individuals and businesses worldwide, empowering clients to design and execute networking strategies that develop the right relationships and alliances. Building on ID360’s experience helping clients in this industry, ZIG360 is the company’s new application for planning […]

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Cambly Makes Learning English Interactive and On-Demand with mLab

Check out our latest case study with Cambly. The Cambly founders set out to create a service that could enable anyone (from anywhere) to learn English through instructive conversations with native speakers — and to do so on-demand. To facilitate platform development and grow a global business, Cambly relies on mLab to manage the growing […]

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GetHuman Saves $30,000 Annually with mLab

We’re excited to share our newest case study with GetHuman. GetHuman helps consumers get in contact with hundreds of major companies more quickly — slashing the time spent on hold and the need to navigate phone trees. The GetHuman team has also recently launched Swish, a budgeting app designed to make managing personal finances accurate, […]

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Simplified pricing for backups on Sandbox and Shared plans

We are announcing two improvements to simplify backup pricing for Sandbox and Shared plans. Shared Plans now include one free fully-customizable daily backup. Additional Shared Plan backups and Sandbox backups are now $0.50 per run regardless of size. Backups still remain free and unlimited on all of our Dedicated plans. In more detail: (1) Shared […]

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Update on Spectre and Meltdown Vulnerabilities

mLab is aware of CVE-2017-5715, CVE-2017-5753, and CVE-2017-5754 (aka, Meltdown and Spectre). Our infrastructure service providers have worked for the past month to update systems globally. It is our understanding that this work has been completed, although we are working with our providers to stay updated on whether further maintenances will required. Our engineering team […]

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BadBolts Makes Climbing Safer Thanks to Rock-Solid Database Management

Long-time mLab customer Blake Bowling has launched numerous businesses using a DBaaS strategy. With more outdoor rock climbing safety bolts in need of replacement, Bowling, an avid climber, again turned to mLab to track all pertinent data and better maintain this equipment. Case study highlights: BadBolts got started using mLab’s free Sandbox databases for rapid […]

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mLab Helps LoungeBuddy Through Parse Migration and Rapid Growth

We’re excited to share our case study on LoungeBuddy – an application that enables travelers to discover, book, and access exclusive airport lounges worldwide. Drastically simplifying the task of navigating complicated lounge membership and status rules at locations that were previously accessible only to elite frequent travelers, LoungeBuddy is the only service allowing users to purchase […]

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Shared Cluster plans now available in Google’s Belgium region

We’re excited to announce that we are now offering Shared Cluster plans in Google Cloud Platform’s Belgium (europe-west1) region. Google users who host their applications in Belgium can now provision low-latency, budget-friendly production MongoDB databases in the same region. Visit mLab’s create deployment wizard if you’d like to create a new Shared Cluster database. For […]

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mLab is now available in all AWS regions

We’re excited to announce that we now support all fourteen Amazon Web Services (AWS) Elastic Compute Cloud (EC2) regions. Most notably, we have recently added support for the Frankfurt, Mumbai, and Seoul regions. Our users can now deploy both their database and application infrastructure to any AWS region and achieve the lowest latency and best […]

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New mLab Slow Query Analyzer Features

Our customers have consistently told us through our ticketing system and in interviews that one of the most useful resources for identifying performance problems is our Slow Query Analyzer. We originally developed this feature because of how important indexing is for good performance in MongoDB. For each query that takes longer than 100ms, our Slow […]

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