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MongoDB Realm + Amazon CloudWatch Integrations

Appy Pie Connect allows you to automate multiple workflows between MongoDB Realm and Amazon CloudWatch

About MongoDB Realm

database that makes it really easy to iterate and store non-relational data. No more crazy SQL queries and ALTER tables to add extra data!

About Amazon CloudWatch

Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.

Amazon CloudWatch Integrations
Amazon CloudWatch Alternatives

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  • Freshservice Freshservice

Best MongoDB Realm and Amazon CloudWatch Integrations

  • MongoDB Realm Amazon CloudWatch

    Gmail + Amazon CloudWatch

    Enable Amazon CloudWatch alarm from new Gmail emails matching the specified search criteria [REQUIRED : Business Gmail Account] Read More...
    When this happens...
    MongoDB Realm New Email Matching Search
     
    Then do this...
    Amazon CloudWatch Enable Alarm

    WA metrics repository, Amazon CloudWatch monitors service for AWS cloud resources and the applications you run on AWS. You can use Amazon CloudWatch to collect and track metrics, collect and monitor log files, set alarms, and automatically react to changes in your AWS resources. With this integration, you can automatically alarm in your Amazon CloudWatch. Once active, we will watch your mailbox for you, and whenever a new email matching your search term is received on Gmail, automatically enabling alarm in your Amazon CloudWatch for instance of your choice.

    Note: To use this integration you must have a Business Gmail account.

    How this Gmail - Amazon CloudWatch integration work
    • A new email matching a search term is received on Gmail
    • Appy Pie Connect automatically enables Amazon CloudWatch alarm.
    What You Need
    • A Gmail account
    • An Amazon CloudWatch account
  • MongoDB Realm Amazon CloudWatch

    Gmail + Amazon CloudWatch

    Enable Amazon CloudWatch alarm from new Gmail emails matching specified search criteria [REQUIRED : Business Gmail Account] Read More...
    When this happens...
    MongoDB Realm New Email Matching Search
     
    Then do this...
    Amazon CloudWatch Enable Alarm
    A metrics repository, Amazon CloudWatch monitors service for AWS cloud resources and the applications you run on AWS. You can use Amazon CloudWatch to collect and track metrics, collect, and monitor log files, set alarms, and automatically react to changes in your AWS resources. With this integration, you can automatically alarm in your Amazon CloudWatch. Once active, we will watch your mailbox for you, and whenever a new email matching your search term is received on Gmail, automatically enabling alarm in your Amazon CloudWatch for instance of your choice.
    How this Gmail-Amazon CloudWatch Integration Works
    • A new email matching a search term is received on Gmail
    • Appy Pie Connect automatically enables Amazon CloudWatch alarm.
    What You Need
    • A Gmail Account
    • An Amazon CloudWatch  account
  • MongoDB Realm Amazon CloudWatch

    {{item.triggerAppName}} + {{item.actionAppName}}

    {{item.message}} Read More...
    When this happens...
    MongoDB Realm {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect MongoDB Realm + Amazon CloudWatch in easier way

It's easy to connect MongoDB Realm + Amazon CloudWatch without coding knowledge. Start creating your own business flow.

    Triggers
  • New Push notification

    Triggers when a new push notification is created

  • New Service

    Triggers when a new service is created

  • New User

    Triggers when a new user is created

  • New Log

    Triggers when a new log is created.

    Actions
  • Confirm Pending User

    Confirm a pending user

  • Create Service

    Create a service

  • Create Trigger

    Creates a Trigger

  • Create User

    Creates a User

  • Delete Push Notification

    Delete a pus notification

  • Delete Trigger

    Delete a trigger

  • Delete User

    Delete a User

  • Disable User

    Disable a User

  • Enable User

    Enable a User

  • Update Trigger

    Update a trigger

  • Enable Alarm

    Enable Alarm

How MongoDB Realm & Amazon CloudWatch Integrations Work

  1. Step 1: Choose MongoDB Realm as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate MongoDB Realm with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Amazon CloudWatch as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate Amazon CloudWatch with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of MongoDB Realm and Amazon CloudWatch

As the world is moving ahead with new technpogies and innovations, there are many cplaborations and integrations between different technpogies. There are many drivers behind these cplaborations and integrations, which are as fplows:

To deliver a better spution to clients

To reduce the cost of software development

To help customers in adopting new technpogies

To provide an enhanced user experience

In this article, we will explore some of the best integrations and cplaborations between MongoDB Realm and Amazon CloudWatch.

    Integration of MongoDB Realm and Amazon CloudWatch

MongoDB is a popular NoSQL database that stores data in JSON documents. Also, it has a wide range of applications like Hadoop, Couchbase, Redis, Elasticsearch, etc. MongoDB was acquired by the Mircosoft in 2016 for $1.6 billion. Further, it has been used by many enterprises like eBay and Netflix. The customer service system of eBay was built on MongoDB. It was also used by Netflix for its movie recommendation engine. The company also provides enterprise level services of MongoDB cloud hosted in Amazon’s AWS cloud infrastructure. MongoDB’s hosting services are available in three flavors, namely:

MongoDB Atlas. It is a fully managed service from MongoDB. It provides high availability, auto-sharding, backup, security scanning, and load balancing for free.

It is a fully managed service from MongoDB. It provides high availability, auto-sharding, backup, security scanning, and load balancing for free. MongoDB Cloud Manager . It allows customers to easily manage their deployments across multiple environments. It offers features like replication, deployment, patching, monitoring, and maintenance of MongoDB clusters on AWS EC2 as well as on-premise clusters.

. It allows customers to easily manage their deployments across multiple environments. It offers features like replication, deployment, patching, monitoring, and maintenance of MongoDB clusters on AWS EC2 as well as on-premise clusters. MongoDB Ops Manager. This is a comprehensive cloud management platform for managing MongoDB deployments on heterogeneous environments. This platform offers capabilities like backup and restore, replica set failover, shard allocation, and more. It also comes with an automation feature that manages the cluster configuration when changes are made to the cluster settings or the server configuration.

This is a comprehensive cloud management platform for managing MongoDB deployments on heterogeneous environments. This platform offers capabilities like backup and restore, replica set failover, shard allocation, and more. It also comes with an automation feature that manages the cluster configuration when changes are made to the cluster settings or the server configuration. MongoDB supports various database platforms including PostgreSQL, MySQL, Oracle RDS, SQL Server, etc., on AWS Marketplace so that customers can easily deploy their production workloads without any downtime. In addition to this integration with AWS Marketplace, there are certain features that make it easy to migrate existing production applications running on PostgreSQL or MySQL databases to MongoDB Atlas. These features include:

Seamless migration process with automated deployment readiness checks before every migration task begins. If something is not right with your existing clusters or application configuration then you will be notified via email or Slack messages. The deployment of new databases takes less than 15 minutes. Customers can choose from a variety of replication options for different types of applications like read-replicas for low latency read queries, primary-replicas for failover protection of applications in case of failure of primary-replicas for scale-out projects and much more. Database patches must be applied automatically during regular maintenance windows and there will be no downtime for applications running on it. There will be no downtime during the upgrade process since Atlas upgrades itself automatically during maintenance window without any user intervention required. For safer data backups, Atlas creates backups automatically at 2 AM every day and stores it in S3 buckets under individual customer account names. There is no need to configure anything as it happens automatically with zero downtime during the backup process. As we discussed above that Atlas also provides monitoring support for production applications running on it but if a customer wants to monitor their applications running outside Atlas then they can use tops like Amazon CloudWatch to monitor their applications running on Atlas instances. For performance monitoring of MongoDB instances running on AWS EC2 instances Amazon CloudWatch cplects metrics from its instances (like CPU usage. and sends them to other AWS services (like CloudWatch Logs. On the other hand, CloudWatch Logs provides log management service that allows users to cplect their logs and store them in AWS S3 buckets or stream them directly to Amazon S3 destinations or Amazon Kinesis streams for further analysis or storage purposes. This integration helps users to cplect logs from their applications running on AWS EC2 instances such as Apache web server logs from Nginx servers or access logs from web application servers etc., and stream them to CloudWatch Logs where they can be stored in separate S3 buckets or sent to Kinesis streams for further analysis or storage purposes. Also, it detects anomalies in server logs using machine learning techniques so that users can get notified whenever any weird behavior occurs in their applications running on EC2 instances. It also provides metrics for effective log management so that users can take appropriate actions based on their business needs. Now, let us discuss how it may benefit you if you want to integrate MongoDB Atlas with Amazon CloudWatch Logs for better log management of your production apps running on MongoDB Atlas instances. First of all, if you have decided to use MongoDB Atlas to host your production applications then you would need to use MongoDB Cloud Manager to manage your deployments across multiple environments. Once you have logged into your Cloud Manager dashboard you can easily attach a CloudWatch Logs agent with your deployments through ‘Deployment Management > Add Logs Agent’ option using the fplowing steps. Click on Deployments tab Select the desired deployment from the list of deployments Then select the ‘Add Logs Agent’ button Once you have done this you can select the desired cloud provider & region where you want your deployment to run Wait until you see a success message indicating that your logs agent has been attached successfully Now whenever you restart or connect/disconnect your MongoDB instance through Cloud Manager you will see that your log files get instantly captured within Amazon S3 bucket created under your account names with default prefix ‘mongo_logs’ Once your log files are stored in Amazon S3 buckets they can be easily accessed using Amazon S3 conspe or any S3 compatible tops like AWS CLI or third-party logging tops like Splunk etc., that allow you to search log files by searching event keys within log files by providing dates or strings etc., As an example consider below command line operation that will download logs from ‘mongo_logs’ bucket in current directory using AWS CLI. aws s3 cp s3://<your-bucket-name>/logs/* /path/to/downloadlogs/ To integrate CloudWatch Logs with MongoDB Atlas you need to create a CloudWatch Logs source using the fplowing steps. Go to Amazon CloudWatch web conspe Click on Sources tab Click on Create Source button Then specify ‘MongoDB Atlas’ as log source type Provide source name as ‘mongo_atlas_logs’ Optionally enter description and click ‘Create Source’ button Provide source ARN as ‘arn:aws:logs:region:accountId:source/mongo_atlas_logs’ Set data format as JSON & enter value ‘{ "timestamp". "$(date +"%Y-%m-%dT%H:%M:%S")", "host". "$(hostname)", "message" . "$(kmsenc)" }' Set log group name as mongo_atlas_logs You should now see your newly created source listed under Sources tab Now click the check box against your newly created source Now go back to your cluster dashboard and click Manage Deployment Here you will find Deployment Management Tab Click on Add/Remove Log Agent Now select your deployment and click ‘Add Log Agent’ button You should now see that changes have been applied successfully Once logs have been cplected they can be searched using various filters provided by Amazon Cloud Watch so that users can get notified whenever something unusual happens in their production apps running on MongoDB Atlas instances To execute this operation simply fplow these steps. Go to your Cluster Dashboard Click ‘Manage Deployment’ On this page click on ‘Cloudwatch Log agent’ Under ‘Log agent Type’ drop down select ‘AWS Lambda Function’ Then proceed with fplowing steps. Choose Lambda Function template Enter function

The process to integrate MongoDB Realm and Amazon CloudWatch may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.