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Updated AWS (markdown)
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AWS.md
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AWS.md
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@ -7,7 +7,7 @@ This setup runs very well for thousands of users.
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To improve scalability even more, add [Redis Oplog support](https://github.com/cult-of-coders/redis-oplog), also see related [Redis Oplog discussion forum post](https://forums.meteor.com/t/meteor-scaling-redis-oplog-status-prod-ready/30855/479). At AWS you can use AWS ElastiCache that has Redis support.
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If there is other ideas to improve scalability, add info to [existing scalability issue](https://github.com/wekan/wekan-mongodb/issues/2) or [scalability forum post](https://discourse.wekan.io/t/cpu-utilization-problems-with-large-userbase/579/15) , there is also mentioned that smart-disconnect is already in Wekan.
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If there is other ideas to improve scalability, add info to [existing scalability issue](https://github.com/wekan/wekan-mongodb/issues/2) or [scalability forum post](https://discourse.wekan.io/t/cpu-utilization-problems-with-large-userbase/579/15), there is also mentioned that smart-disconnect is already in Wekan.
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For Enterprises using Wekan xet7 recommends participating in Wekan development, see [Benefits of contributing your features to Upstream Wekan](https://blog.wekan.team/2018/02/benefits-of-contributing-your-features-to-upstream-wekan/index.html), having your own developers working on Wekan daily, and using Commercial Support at https://wekan.team , as Wekan Team [already has access to high performance bare metal servers at CNCF / Packet for running high load testing](https://blog.wekan.team/2018/01/wekan-progress-on-x64-and-arm/index.html). With the benefits you get by using Wekan, it’s [time well spent](https://blog.wekan.team/2018/02/time-well-spent/index.html).
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