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Who uses MongoDB at scale?
Square Enix
Square Enix uses MongoDB to scale TOMB RAIDER, HITMAN ABSOLUTION, DEUS EX & more. MongoDB’s advanced management platform enables the operations team at Square Enix to scale dozens of database clusters on-demand and deliver 24×7 availability to gamers around the world, all with just one administrator.
How is MongoDB scaling done?
MongoDB can scale out horizontally via single large Replica Sets using one Primary and two Secondaries with heartbeat communication for up/down state with replication occurring to the secondaries via the oplog.
What is scaling in MongoDB?
What is vertical scaling in MongoDB? Vertical scaling refers to increasing the processing power of a single server or cluster through adding CPU(s), RAM, and I/O. It is simple and effective for small to mid-range use cases, but can become expensive on the higher end.
How do I autoscale in MongoDB?
Cluster auto-scaling removes the need to write scripts or use consulting services to make scaling decisions. To help control costs, you can specify a range of cluster tiers to which your cluster can automatically scale. Auto-scaling works on a rolling basis, meaning the process does not incur any downtime.
Does Google use MongoDB?
MongoDB Atlas has been complementing our use of Google Cloud technologies like Pub/Sub, Dataflow, and BigQuery, which we use in tandem with Atlas to build a robust data pipeline. MongoDB Atlas on Google Cloud is SOC2 compliant, which keeps our team highly efficient and focused on developing our software Rebus.
Why is MongoDB good for scaling?
MongoDB supports horizontal scaling through Sharding , distributing data across several machines and facilitating high throughput operations with large sets of data. Sharding allows you to add additional instances to increase capacity when required. In the image above, each shard runs on a different server.
Why is MongoDB horizontal scaling?
MongoDB Horizontal Scaling Horizontal scaling refers to dividing your database into chunks and stores them on multiple servers. The main advantage of this approach is that you can add additional servers on the fly to increase your database performance with zero downtime.
Does Google use NoSQL?
As for pricing, Google has separated storage from computing. Bigtable, which has been in production at Google for a decade is the granddaddy of the NoSQL world albeit a “grandpa that can run circles around its grandkids,” Baran said. Google’s technology has a ton of credibility for large-scale workloads.
What are the different metrics of MongoDB scaling?
It’s about 3 different metrics, which often work together: cluster scale, performance scale, and data scale. There are many examples of MongoDB users who are pushing the limits to scalability. Here are a few, organized around each scaling dimension.
How does MongoDB help Square Enix at scale?
MongoDB’s advanced management platform enables the operations team at Square Enix to scale dozens of database clusters on-demand and deliver 24×7 availability to gamers around the world, all with just one administrator.
When is the best time to scale MongoDB?
There aren’t hard rules for the best time to scale these data sets using more complex methods. Discussions about horizontal scale frequently conflate redundancy and performance, but they are two separate concepts, particularly in MongoDB. Horizontal scale in MongoDB is primarily used for performance gain.
How big does a MongoDB data set need to be?
When an Elastic Deployment data set grows, we give it more RAM and IO capacity in proportions that work well for the bulk of the production databases we’ve managed. This is an incredibly effective way to scale most MongoDB datasets that are less than 250GB in size.