With the release of MongoDB 4.0, we’re excited to announce the availability of free cloud-based monitoring, the easiest way to monitor and visualize the status of your MongoDB deployments.
Let’s walk through how it works.
After you’ve installed MongoDB 4.0, connect to your instance(s) using the
MongoDB shell version v4.0.0
connecting to: mongodb://127.0.0.1:27017
MongoDB server version: 4.0.0
Enable MongoDB's free cloud-based monitoring service to collect and display
metrics about your deployment (disk utilization, CPU, operation statistics,
The monitoring data will be available on a MongoDB website with a unique
URL created for you. Anyone you share the URL with will also be able to
view this page. MongoDB may use this information to make product
improvements and to suggest MongoDB products and deployment options to you.
To enable free monitoring, run the following command:
When you run the command, you should see something similar to what’s shown below.
"state" : "enabled",
"message" : "To see your monitoring data, navigate to the unique URL below. Anyone you share the URL with will also be able to view this page. You can disable monitoring at any time by running db.disableFreeMonitoring().",
"url" : "https://cloud.mongodb.com/freemonitoring/cluster/22E5ZH35UZ77JY3UHS3VYYTI7BKBIHWF",
"userReminder" : "",
"ok" : 1
Simply copy and paste your unique URL into a browser to access your monitoring dashboard. Free cloud-based monitoring tracks key performance indicators such as operation execution times, disk utilization, memory, network input/out, and more in interactive charts.
Mousing over chart lines reveal precise metrics.
You can also zoom in to 1 minute granularity.
Free cloud monitoring supports standalone instances and replica sets of MongoDB 4.0+. Of course, only monitoring metadata is accessed, never the contents of your databases. You can disable monitoring and your unique URL at any time by running the
For more information, visit our documentation.
New to MongoDB Atlas — Free Fully Managed Databases on Google Cloud Platform
Today we’re excited to announce that the MongoDB Atlas free tier — which provides access to a fully managed M0 cluster with 512 MB of storage at no cost — is now available on Google Cloud Platform (GCP). We launched the MongoDB Atlas database as a service on GCP one year ago at MongoDB World 2017. Since then, we’ve made significant product enhancements, culminating in the most powerful MongoDB service for developers building their applications on Google’s expanding ecosystem of cloud services. For example, we launched Atlas into 13 Google cloud regions earlier this year, and added the ability for customers to replicate their data to any number of regions for fast, responsive read access and multi-region fault tolerance. Companies like Longbow Advantage, a supply chain partner to Del Monte Foods and Subaru of America, are using MongoDB Atlas on GCP to accelerate innovation and stay agile and efficient in their development life cycles. We wanted to ensure that our team could remain focused on the application and not have to worry about the underlying infrastructure. Atlas allowed us to do just that. Alex Wakefield, Chief Commercial Officer, Longbow Advantage The availability of the Atlas free tier on GCP will make it easier than ever for developers using the cloud platform to experiment in an optimized environment for MongoDB, with no barrier to entry. The M0 cluster is ideal for learning MongoDB, prototyping, or early development, and has built-in security, availability, and fully managed upgrades. The Atlas free tier on GCP is available in 3 regions: Iowa (us-central1) Belgium (europe-west1) Singapore (asia-southeast1) MongoDB Atlas is available in 13 GCP regions Getting started is simple. When building a new cluster in MongoDB Atlas, select GCP as the cloud provider and then select the region closest to your application server(s) with the "Free tier available" label. Then, in the Cluster Tier tab, select the M0 cluster size. Finally, name your cluster. That's it. We're excited to see what you build with MongoDB Atlas and GCP! New to MongoDB Atlas? Deploy a free database cluster on GCP in minutes.
Introducing the MongoDB Enterprise Operator for Kubernetes and OpenShift
Today more DevOps teams are leveraging the power of containerization, and technologies like Kubernetes and Red Hat OpenShift, to manage containerized database clusters. To support teams building cloud-native apps with Kubernetes and OpenShift, we are introducing a Kubernetes Operator (beta) that integrates with Ops Manager, the enterprise management platform for MongoDB. The operator enables a user to deploy and manage MongoDB clusters from the Kubernetes API, without having to manually configure them in Ops Manager. With this Kubernetes integration, you can consistently and effortlessly run and deploy workloads wherever they need to be, standing up the same database configuration in different environments, all controlled with a simple, declarative configuration. Operations teams can also offer developers new services like MongoDB-as-a-Service, that could provide for them a fully managed database, alongside other products and services, managed by Kubernetes and OpenShift. In this blog, we’ll cover the following: Brief discussion on the container revolution Overview of MongoDB Ops Manager How to Install and configure the MongoDB Enterprise Operator for Kubernetes Troubleshooting Where to go for more information The containerization movement If you ever visited an international shipping port or drove down an interstate highway you may have seen large rectangular metal containers generally referred to as intermodal containers. These containers are designed and built using the same specifications even though the contents of these boxes can vary greatly. The consistent design not only enables these containers to freely move from ship, to rail, and to truck, they also allow this movement without unloading and reloading the cargo contents. This same concept of a container can be applied to software applications where the application is the contents of the container along with its supporting frameworks and libraries. The container can be freely moved from one platform to another all without disturbing the application. This capability makes it easy to move an application from an on-premise datacenter server to a public cloud provider, or to quickly stand up replica environments for development, test, and production usage. MongoDB 4.0 introduces the MongoDB Enterprise Operator for Kubernetes which enables a user to deploy and manage MongoDB clusters from the Kubernetes API, without the user having to connect directly to Ops Manager or Cloud Manager (the hosted version of Ops Manager, delivered as a service. While MongoDB is fully supported in a containerized environment, you need to make sure that the benefits you get from containerizing the database exceed the cost of managing the configuration. As with any production database workload, these containers should use persistent storage and will require additional configuration depending on the underlying container technology used. To help facilitate the management of the containers themselves, DevOps teams are leveraging the power of orchestration technologies like Kubernetes and Red Hat OpenShift. While these technologies are great at container management, they are not aware of application specific configurations and deployment topologies such as MongoDB replica sets and sharded clusters. For this reason, Kubernetes has Custom Resources and Operators which allow third-parties to extend the Kubernetes API and enable application aware deployments. Later in this blog you will learn how to install and get started with the MongoDB Enterprise Operator for Kubernetes. First let’s cover MongoDB Ops Manager, which is a key piece in efficient MongoDB cluster management. Managing MongoDB Ops Manager is an enterprise class management platform for MongoDB clusters that you run on your own infrastructure. The capabilities of Ops Manager include monitoring, alerting, disaster recovery, scaling, deploying and upgrading of replica sets and sharded clusters, and other MongoDB products, such as the BI Connector. While a thorough discussion of Ops Manager is out of scope of this blog it is important to understand the basic components that make up Ops Manager as they will be used by the Kubernetes Operator to create your deployments.. Figure 1: MongoDB Ops Manager deployment screen A simplified Ops Manager architecture is shown in Figure 2 below. Note that there are other agents that Ops Manager uses to support features like backup but these are outside the scope of this blog and not shown. For complete information on MongoDB Ops Manager architecture see the online documentation found at the following URL: https://docs.opsmanager.mongodb.com/current/ Figure 2: Simplified Ops Manager deployment The MongoDB HTTP Service provides a web application for administration. These pages are simply a front end to a robust set of Ops Manager REST APIs that are hosted in the Ops Manager HTTP Service. It is through these REST APIs that the Kubernetes Operator will interact with Ops Manager. MongoDB Automation Agent With a typical Ops Manager deployment there are many management options including upgrading the cluster to a different version, adding secondaries to an existing replica set and converting an existing replica set into a sharded cluster. So how does Ops Manager go about upgrading each node of a cluster or spinning up new MongoD instances? It does this by relying on a locally installed service called the Ops Manager Automation Agent which runs on every single MongoDB node in the cluster. This lightweight service is available on multiple operating systems so regardless if your MongoDB nodes are running in a Linux Container or Windows Server virtual machine or your on-prem PowerPC Server, there is an Automation Agent available for that platform. The Automation Agents receive instructions from Ops Manager REST APIs to perform work on the cluster node. MongoDB Monitoring Agent When Ops Manager shows statistics such as database size and inserts per second it is receiving this telemetry from the individual nodes running MongoDB. Ops Manager relies on the Monitoring Agent to connect to your MongoDB processes, collect data about the state of your deployment, then send that data to Ops Manager. There can be one or more Monitoring Agents deployed in your infrastructure for reliability but only one primary agent per Ops Manager Project is collecting data. Ops Manager is all about automation and as soon as you have the automation agent deployed, other supporting agents like the Monitoring agent are deployed for you. In the scenario where the Kubernetes Operator has issued a command to deploy a new MongoDB cluster in a new project, Ops Manager will take care of deploying the monitoring agent into the containers running your new MongoDB cluster. Getting started with MongoDB Enterprise Operator for Kubernetes Ops Manager is an integral part of automating a MongoDB cluster with Kubernetes. To get started you will need access to an Ops Manager 4.0+ environment or MongoDB Cloud Manager. The MongoDB Enterprise Operator for Kubernetes is compatible with Kubernetes v1.9 and above. It also has been tested with Openshift version 3.9. You will need access to a Kubernetes environment. If you do not have access to a Kubernetes environment, or just want to stand up a test environment, you can use minikube which deploys a local single node Kubernetes cluster on your machine. For additional information and setup instructions check out the following URL: https://kubernetes.io/docs/setup/minikube. The following sections will cover the three step installation and configuration of the MongoDB Enterprise Operator for Kubernetes. The order of installation will be as follows: Step 1: Installing the MongoDB Enterprise Operator via a helm or yaml file Step 2: Creating and applying a Kubernetes ConfigMap file Step 3: Create the Kubernetes secret object which will store the Ops Manager API Key Step 1: Installing MongoDB Enterprise Operator for Kubernetes To install the MongoDB Enterprise Operator for Kubernetes you can use helm, the Kubernetes package manager, or pass a yaml file to kubectl. The instructions for both of these methods is as follows, pick one and continue to step 2. To install the operator via Helm: To install with Helm you will first need to clone the public repo https://github.com/mongodb/mongodb-enterprise-kubernetes.git Change directories into the local copy and run the following command on the command line: helm install helm_chart/ --name mongodb-enterprise To install the operator via a yaml file: Run the following command from the command line: kubectl apply -f https://raw.githubusercontent.com/mongodb/mongodb-enterprise-kubernetes/master/mongodb-enterprise.yaml At this point the MongoDB Enterprise Operator for Kubernetes is installed and now needs to be configured. First, we must create and apply a Kubernetes ConfigMap file. A Kubernetes ConfigMap file holds key-value pairs of configuration data that can be consumed in pods or used to store configuration data. In this use case the ConfigMap file will store configuration information about the Ops Manager deployment we want to use. Step 2: Creating the Kubernetes ConfigMap file For the Kubernetes Operator to know what Ops Manager you want to use you will need to obtain some properties from the Ops Manager console and create a ConfigMap file. These properties are as follows: Base Url - The URL of your Ops Manager or Cloud Manager. Project Id - The id of an Ops Manager Project which the Kubernetes Operator will deploy into. User - An existing Ops Manager username Public API Key - Used by the Kubernetes Operator to connect to the Ops Manager REST API endpoint If you already know how to obtain these follows copy them down and proceed to Step 3. Base Url The Base Uri is the URL of your Ops Manager or Cloud Manager. Note: If you are using Cloud Manager the Base Url is, “https://cloud.mongodb.com” To obtain the Base Url in Ops Manager copy the Url used to connect to your Ops Manager server from your browser's navigation bar. It should be something similar to http://servername:8080. You can also perform the following: Login to Ops Manager and click on the Admin button. Next select the “Ops Manager Config” menu item. You will be presented with a screen similar to the figure below: Figure 3: Ops Manager Config page Copy down the value displayed in the URL To Access Ops Manager box. Note: If you don’t have access to the Admin drop down you will have to copy the Url used to connect to your Ops Manager server from your browser's navigation bar. Project Id The Project Id is the id of an Ops Manager Project which the Kubernetes Operator will deploy into. An Ops Manager Project is a logical organization of MongoDB clusters and also provides a security boundary. One or more Projects are apart of an Ops Manager Organization. If you need to create an Organization click on your user name at the upper right side of the screen and select, “Organizations”. Next click on the “+ New Organization” button and provide a name for your Organization. Once you have an Organization you can create a Project. Figure 4: Ops Manager Organizations page To create a new Project, click on your Organization name. This will bring you to the Projects page and from here click on the “+ New Project” button and provide a unique name for your Project. If you are not an Ops Manager administrator you may not have this option and will have to ask your administrator to create a Project. Once the Project is created or if you already have a Project created on your behalf by an administrator you can obtain the Project Id by clicking on the Settings menu option as shown in the Figure below. Figure 5: Project Settings page Copy the Project ID. User The User is an existing Ops Manager username To see the list of Ops Manager users return to the Project and click on the “Users & Teams” menu. You can use any Ops Manager user who has at least Project Owner access. If you’d like to create another username click on the “Add Users & Team” button as shown in Figure 6. Figure 6: Users & Teams page Copy down the email of the user you would like the Kubernetes Operator to use when connecting to Ops Manager. Public API Key The Ops Manager API Key is used by the Kubernetes Operator to connect to the Ops Manager REST API endpoint. You can create a API Key by clicking on your username on the upper right hand corner of the Ops Manager console and selecting, “Account” from the drop down menu. This will open the Account Settings page as shown in Figure 7. Figure 7: Public API Access page Click on the “Public API Access” tab. To create a new API key click on the “Generate” button and provide a description. Upon completion you will receive an API key as shown in Figure 8. Figure 8: Confirm API Key dialog Be sure to copy the API Key as it will be used later as a value in a configuration file. It is important to copy this value while the dialog is up since you can not read it back once you close the dialog. If you missed writing the value down you will need to delete the API Key and create a new one. Note: If you are using MongoDB Cloud Manager or have Ops Manager deployed in a secured network you may need to whitelist the IP range of your Kubernetes cluster so that the Operator can make requests to Ops Manager using this API Key. Now that we have acquired the necessary Ops Manager configuration information we need to create a Kubernetes ConfigMap file for the Kubernetes Project. To do this use a text editor of your choice and create the following yaml file, substituting the bold placeholders for the values you obtained in the Ops Manager console. For sample purposes we can call this file “my-project.yaml”. apiVersion: v1 kind: ConfigMap metadata: name: namespace: mongodb data: projectId: baseUrl: Figure 9: Sample ConfigMap file Note: The format of the ConfigMap file may change over time as features and capabilities get added to the Operator. Be sure to check with the MongoDB documentation if you are having problems submitting the ConfigMap file. Once you create this file you can apply the ConfigMap to Kubernetes using the following command: kubectl apply -f my-project.yaml Step 3: Creating the Kubernetes Secret For a user to be able to create or update objects in an Ops Manager Project they need a Public API Key. Earlier in this section we created a new API Key and you hopefully wrote it down. This API Key will be held by Kubernetes as a Secret object. You can create this Secret with the following command: kubectl -n mongodb create secret generic --from-literal="user=" --from-literal="publicApiKey=" Make sure you replace the User and Public API key values with those you obtained from your Ops Manager console. You can pick any name for the credentials – just make a note of it as you will need it later when you start creating MongoDB clusters. Now we're ready to start deploying MongoDB Clusters! Deploying a MongoDB Replica Set Kubernetes can deploy a MongoDB standalone, replica set or a sharded cluster. To deploy a 3 node replica set create the following yaml file: apiVersion: mongodb.com/v1 kind: MongoDbReplicaSet metadata: name: namespace: mongodb spec: members: 3 version: 3.6.5 persistent: false project: credentials: Figure 10: simple-rs.yaml file describing a three node replica set The name of your new cluster can be any name you chose. The name of the OpsManager Project config map and the name of credentials secret were defined previously. To submit the request for Kubernetes to create this cluster simply pass the name of the yaml file you created to the following kubectl command: kubectl apply -f simple-rs.yaml After a few minutes your new cluster will show up in Ops Manager as shown in Figure 11. Figure 11: Servers tab of the Deployment page in Ops Manager Notice that Ops Manager installed not only the Automation Agents on these three containers running MongoDB, it also installed Monitoring Agent and Backup Agents. A word on persistent storage What good would a database be if anytime the container died your data went to the grave as well? Probably not a good situation and maybe one where tuning up the resumé might be a good thing to do as well. Up until recently, the lack of persistent storage and consistent DNS mappings were major issues with running databases within containers. Fortunately, recent work in the Kubernetes ecosystem has addressed this concern and new features like PersistentVolumes and StatefulSets have emerged allowing you to deploy databases like MongoDB without worrying about losing data because of hardware failure or the container moved elsewhere in your datacenter. Additional configuration of the storage is required on the Kubernetes cluster before you can deploy a MongoDB Cluster that uses persistent storage. In Kubernetes there are two types of persistent volumes: static and dynamic. The Kubernetes Operator can provision MongoDB objects (i.e. standalone, replica set and sharded clusters) using either type. Connecting your application Connecting to MongoDB deployments in Kubernetes is no different than other deployment topologies. However, it is likely that you'll need to address the network specifics of your Kubernetes configuration. To abstract the deployment specific information such as hostnames and ports of your MongoDB deployment, the Kubernetes Enterprise Operator for Kubernetes uses Kubernetes Services. Services Each MongoDB deployment type will have two Kubernetes services generated automatically during provisioning. For example, suppose we have a single 3 node replica set called "my-replica-set", then you can enumerate the services using the following statement: kubectl get all -n mongodb --selector=app=my-replica-set-svc This statement yields the following results: NAME READY STATUS RESTARTS AGE pod/my-replica-set-0 1/1 Running 0 29m pod/my-replica-set-1 1/1 Running 0 29m pod/my-replica-set-2 1/1 Running 0 29m NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE service/my-replica-set-svc ClusterIP None 27017/TCP 29m service/my-replica-set-svc-external NodePort 10.103.220.236 27017:30057/TCP 29m NAME DESIRED CURRENT AGE statefulset.apps/my-replica-set 3 3 29m Note the appended string "-svc" to the name of the replica set. The service with "-external" is a NodePort - which means it's exposed to the overall cluster DNS name on port 30057. Note: If you are using Minikube you can obtain the IP address of the running replica set by issuing the following: minikube service list In our example which used minikube the result set contained the following information: mongodb my-replica-set-svc-external http://192.168.39.95:30057 Now that we know the IP of our MongoDB cluster we can connect using the Mongo Shell or whatever application or tool you would like to use. Basic Troubleshooting If you are having problems submitting a deployment you should read the logs. Issues like authentication issues and other common problems can be easily detected in the log files. You can view the MongoDB Enterprise Operator for Kubernetes log files via the following command: kubectl logs -f deployment/mongodb-enterprise-operator -n mongodb You can also use kubectl to see the logs of the database pods. The main container processes is continually tailing the Automation Agent logs and can be seen with the following statement: kubectl logs -n mongodb Note: You can enumerate the list of pods using kubectl get pods -n mongodb Another common troubleshooting technique is to shell into one of the containers running MongoDB. Here you can use common Linux tools to view the processes, troubleshoot, or even check mongo shell connections (sometimes helpful in diagnosing network issues). kubectl exec -it -n mongodb -- /bin/bash An example output of this command is as follows: UID PID PPID C STIME TTY TIME CMD mongodb 1 0 0 16:23 ? 00:00:00 /bin/sh -c supervisord -c /mongo mongodb 6 1 0 16:23 ? 00:00:01 /usr/bin/python /usr/bin/supervi mongodb 9 6 0 16:23 ? 00:00:00 bash /mongodb-automation/files/a mongodb 25 9 0 16:23 ? 00:00:00 tail -n 1000 -F /var/log/mongodb mongodb 26 1 4 16:23 ? 00:04:17 /mongodb-automation/files/mongod mongodb 45 1 0 16:23 ? 00:00:01 /var/lib/mongodb-mms-automation/ mongodb 56 1 0 16:23 ? 00:00:44 /var/lib/mongodb-mms-automation/ mongodb 76 1 1 16:23 ? 00:01:23 /var/lib/mongodb-mms-automation/ mongodb 8435 0 0 18:07 pts/0 00:00:00 /bin/bash From inside the container we can make a connection to the local MongoDB node easily by running the mongo shell via the following command: /var/lib/mongodb-mms-automation/mongodb-linux-x86_64-3.6.5/bin/mongo --port 27017 Note: The version of the automation agent may be different than 3.6.5, be sure to check the directory path Where to go for more information More information will be available on the MongoDB documentation website in the near future. Until then check out these resources for more information: Slack: #enterprise-kubernetes Sign up @ https://launchpass.com/mongo-db GitHub: https://github.com/mongodb/mongodb-enterprise-kubernetes To see all MongoDB operations best practices, download our whitepaper: https://www.mongodb.com/collateral/mongodb-operations-best-practices