Deploy, Manage & Autoscale InMemory MongoDB on Kubernetes using KubeDB
Channel: AppsCode Inc.
Date: 04/08/2022

Starting from version 3.2, MongoDB supports storing data directly in the memory instead of disk I/O. It allows more predictable latency of database operations. It  uses document-level concurrency control for write operations. As a result, modifications of a collection by multiple clients at the same time is possible.

This webinar of KubeDB will introduce the deployment & management of InMemory MongoDB. We will be happy to share the progress we have accomplished so far and get feedback from you.

Key contents of the webinar are:
-  Introduction to InMemory MongoDB on replicaset & sharded cluster
-  Manual Failover & High Availability
-  Vertical & Horizontal scaling the inMemory resources
-  Autoscaling with integrated vertical-pod-autoscaler on inMemory storage

KubeDB simplifies Provision, Upgrade, Scaling, Volume Expansion, Monitor, Backup, and Restore for various Databases in Kubernetes on any Public & Private Cloud

Slide Deck: https://docs.google.com/presentation/d/1UJC6VozTHo4bCsoaNqcU5KWMtFU99YtO/edit?usp=sharing&ouid=100217040238775108940&rtpof=true&sd=true

▬▬▬▬▬▬▬▬ Useful Links 🛠   ▬▬▬▬▬▬▬

For more information: https://kubedb.com/
Visit GitHub:  https://github.com/kubedb 
Blog: https://blog.byte.builders
Twitter: https://twitter.com/KubeDB
More about MongoDB on Kubernetes: https://kubedb.com/kubernetes/databases/run-and-manage-mongodb-on-kubernetes/

▬▬▬▬▬▬▬▬ Connect 👋   ▬▬▬▬▬▬▬▬▬

For more information, visit: https://appscode.com/
Visit GitHub: https://github.com/appscode
Join AppsCode on Slack: https://slack.appscode.com/ 
Twitter: https://twitter.com/AppsCodeHQ
LinkedIn: https://www.linkedin.com/company/appscode/
Facebook: https://www.facebook.com/appscode

#KuberenetesDatabase #InMemoryMongoDB #KubeDB