Integrate Slack with MongoDB Atlas
Use the Slack integration to get vital information about your organization, your team, and their habits or productivity.
About MongoDB Atlas
MongoDB Atlas is a cloud database service for applications that works with Amazon AWS, Microsoft Azure, and Google Cloud Platform. The database service seeks to comply with the most stringent data security and privacy standards while offering a reliable suite of drivers, tools, and integrations. By automating numerous database management tasks, MongoDB Atlas helps developers build apps faster with less human error.
Popular Use Cases
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Integrate Slack With MongoDB Atlas Today
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Slack's End Points
Gather and set information on members of your Slack team: get a user’s identity, find a user with email addresses, set user profile pictures, and more.
Get info on your team's Slack channels, create or archive channels, invite users, set the topic and purpose, or mark a channel as read. Use this information to track and improve company communication.
Interface with all kinds of conversations, including public conversations, private channels, and direct messages.
Get info on files uploaded, upload new files, and control things like file sharing, filters, and file information.
Slack Group and User Group
Get info on your team's private channels, or groups, and on your team's user groups.
MongoDB Atlas's End Points
MongoDB Atlas Automated Features
The automated security features included in MongoDB Atlas let you monitor who has access to your data while securing your information against unwanted intrusions. Also, due to the platform's automation of mundane operational tasks — like provisioning and configuration, patching and upgrades, monitoring and alerts, advanced security automation, and disaster recovery — you don't have to be a data science expert to set up and run your databases.
MongoDB Advanced Security Automation
MongoDB Atlas provides a variety of database security layers including advanced access control, IP whitelists, in-flight data encryption through TLS/SSL, optional encryption of your file system, and network isolation through Amazon VPCs and VPC Peering.
MongoDB Atlas Built-In Replication
MongoDB Atlas offers multiple servers to provide 'always-on' availability. Even if your primary master goes down, multiple backups ensure that your system is always up and running.
MongoDB Atlas Backups and Time-Machine Recovery
The advanced backup and recovery features for MongoDB Atlas guard against data corruption. Whether the threat is from hackers or a team member's innocent mistake, you can rest easy knowing that, after a catastrophic, event you'll have a backup copy to recover your system from a specific time in the past.
MongoDB Atlas Detailed Statistics and Monitoring
MongoDB Atlas provides detailed information and statistics about your database systems. By organizing this information in numerous ways, the platform helps you understand when important changes or upgrades to your system may be necessary. Moreover, if it's time to make changes, you can provision new server instances in a flash.
MongoDB Atlas Automated Patches and Upgrades
Whether it's a new technology upgrade to improve database efficiency or a security patch to protect against a new security threat, MongoDB Atlas automatically upgrades or lets you upgrade with a single click, so you can take advantage of features as soon as they're available. Upgrades happen in a matter of minutes without any downtime required.
MongoDB Atlas Customizable Database Tools
MongoDB Atlas includes a suite of tools that allow you to select your regions, billing options, and more — allowing you to customize server instances to your desired specifications.
MongoDB Atlas Scalability
MongoDB Atlas scales up and down — or scales out horizontally through automatic sharding — according to the needs of your company with zero application downtime. This allows you to grow beyond the limitations of one server without making your application too complex. Moreover, the platform's automatic balancing keeps information equally distributed across multiple replica sets as your data volumes grow, or as your cluster increases or decreases.