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On this page
Note
Groups and projects are synonymous terms. Your
{PROJECT-ID}
is the
same as your project id. For existing groups, your group/project id
remains the same. This page uses the more familiar term group when
referring to descriptions. The endpoint remains as stated in the
document.
Base URL:
https://cloud.mongodb.com/api/public/v1.0
GET /groups/byName/{GROUP-NAME}
Name | Type | Description |
---|---|---|
GROUP-NAME | string | (Required.) The name of the project. |
The following query parameters are optional:
Name | Type | Necessity | Description | Default | ||||||
---|---|---|---|---|---|---|---|---|---|---|
pretty | boolean | Optional | Flag indicating whether the response body should be in a prettyprint format. |
false
|
||||||
envelope | boolean | Optional |
Flag that indicates whether or not to wrap the response in an envelope. Some API clients cannot access the HTTP response headers or status code. To remediate this, set envelope=true in the query. For endpoints that return one result, the response body includes:
|
false
|
This endpoint doesn’t use HTTP request body parameters.
Name | Type | Description |
---|---|---|
activeAgentCount | integer |
Number of active agents sending regular pings to Cloud Manager.
The value is refreshed about every 24 hours and cached. If
you start a new agent or stop an existing one, the change
can take up to 30 minutes to show up in the
|
hostCounts | object | Total number of hosts by type. The embedded fields should be self-explanatory. |
id | string | Unique identifier for the group. |
lastActiveAgent | string |
Time Cloud Manager last updated the
activeAgentCount
total for
the project. Cloud Manager refreshes this value every 24 hours and
caches it to record the number of active MongoDB Agents.
|
links | object array |
One or more links to sub-resources and/or related resources. All
links
arrays in responses include at least one link called
self
. The relationships between
URL
s are explained in the
Web Linking Specification
.
|
name | string | Display name for the project. |
orgId | string | Unique identifier for the organization to which the project belongs. |
publicApiEnabled | boolean |
Flag indicating that the
API
is enabled for this project.
This is a read-only field that is always
true
.
|
replicaSetCount | integer | Total number of replica sets for this project. |
shardCount | integer | Total number of shards for this project. |
curl --user "{PUBLIC-KEY}:{PRIVATE-KEY}" --digest \
--include \
--request GET "https://cloud.mongodb.com/api/public/v1.0/groups/byName/{GROUP-NAME}?pretty=true"
Important
Some characters are not allowed in URLs. These are called
reserved characters.
If your
{GROUP-NAME}
includes reserved characters, like spaces,
you must replace them with their
percent encoding.
Example
Instead of making this request (via curl):
curl --user "{PUBLIC-KEY}:{PRIVATE-KEY}" --digest \
--header "Accept: application/json" \
--include \
--request GET "https://cloud.mongodb.com/api/public/v1.0/groups/byName/My%20Project?pretty=true"
Make this request (via curl):
curl --user "{PUBLIC-KEY}:{PRIVATE-KEY}" --digest \
--header "Accept: application/json" \
--include \
--request GET "https://cloud.mongodb.com/api/public/v1.0/groups/byName/My%20Group?pretty=true"
HTTP/1.1 401 Unauthorized
Content-Type: application/json;charset=ISO-8859-1
Date: {dateInUnixFormat}
WWW-Authenticate: Digest realm="MMS Public API", domain="", nonce="{nonce}", algorithm=MD5, op="auth", stale=false
Content-Length: {requestLengthInBytes}
Connection: keep-alive
HTTP/1.1 200 OK
Vary: Accept-Encoding
Content-Type: application/json
Strict-Transport-Security: max-age=300
Date: {dateInUnixFormat}
Connection: keep-alive
Content-Length: {requestLengthInBytes}
X-MongoDB-Service-Version: gitHash={gitHash}; versionString={ApplicationVersion}
{
"activeAgentCount": 1,
"agentApiKey": "{AGENT-API-KEY}",
"hostCounts": {
"arbiter": 2,
"config": 1,
"primary": 4,
"secondary": 8,
"mongos": 2,
"master": 0,
"slave": 0
},
"id": "{PROJECT-ID}",
"lastActiveAgent": ISODate("2016-08-05T07:23:34Z"),
"links" : [],
"name": "My Project",
"orgId" : "111111111cccccf38dc78bdf",
"publicApiEnabled": true,
"replicaSetCount": 3,
"shardCount": 2,
}
On this page
This tutorial manipulates the Cloud Manager Administration API’s automation configuration to deploy a sharded cluster that is owned by another user. The tutorial first creates a new project, then a new user as owner of the project, and then a sharded cluster owned by the new user. You can create a script to automate these procedures for use in routine operations.
To perform these steps, you must have sufficient access to Cloud Manager. A
user with the
Project
Owner
role has sufficient access.
The procedures install a cluster with two
shards
. Each
shard comprises a three-member
replica set
. The tutorial
installs one
mongos
and three
config servers
.
Each component of the cluster resides on its own server, requiring a
total of 10 hosts.
The tutorial installs the MongoDB Agent on each host.
Provision ten hosts to serve the components of the sharded cluster . For host requirements, see the Production Notes in the MongoDB manual.
Each host must provide its
MongoDB Agent
with full
networking access to the hostnames and ports of the MongoDB Agents on
all the other hosts. Each agent runs the command
hostname
-f
to self-identify its hostname and port and report them to Cloud Manager.
Tip
To ensure agents can reach each other, provision the hosts using Automation . This installs the MongoDB Agents with correct network access. Use this tutorial to reinstall the Automations on those machines.
As you work with the API , you can view examples on the GitHub example page.
The API resources use one or more of these variables. Replace these variables with your desired values before calling these API resources.
Name | Type | Description |
---|---|---|
PUBLIC-KEY
|
string | Your public API Key for your API credentials. |
PRIVATE-KEY
|
string | Your private API Key for your API credentials. |
cloud.mongodb.com
|
string | URL of your Cloud Manager instance. |
GROUP-ID
|
string | Unique identifier of your project from your Project Settings . |
Use the Cloud Manager Administration API to send a projects document to create the new project.
curl --user "{PUBLIC-KEY}:{PRIVATE-KEY}" --digest \
--header "Content-Type: application/json" \
--request POST "https://cloud.mongodb.com/api/public/v1.0/groups?pretty=true" \
--data '
{
"name": "{GROUP-NAME}"
}'
The
API
returns a document that includes the project’s
agentApiKey
and
id
.
agentApiKey
and
id
in the returned document.¶
Record these values for use in this procedure and in other procedures in this tutorial.
Use the
/users
endpoint to add a user to the new project.
The body of the request should contain a users JSON document with the user’s information.
Set the user’s
roles.roleName
to
GROUP_OWNER
and the user’s
roles.groupId
set to the new group’s‘
id
.
curl --user "{PUBLIC-KEY}:{PRIVATE-KEY}" --digest \
--header 'Accept: application/json' \
--header "Content-Type: application/json" \
--request POST "https://cloud.mongodb.com/api/public/v1.0/users?pretty=true" \
--data '
{
"username": "<new_user@example.com>",
"emailAddress": "<new_user@example.com>",
"firstName": "<First>",
"lastName": "<Last>",
"password": "<password>",
"roles": [{
"groupId": "{PROJECT-ID}",
"roleName": "GROUP_OWNER"
}]
}'
To learn how to install the MongoDB Agent, follow the procedure for the appropriate platform .
When the MongoDB Agent first runs, it downloads the
mms-cluster-config-backup.json
file, which describes the desired
state of the
automation configuration
.
On one of the hosts, navigate to
/var/lib/mongodb-mms-automation/
and open
mms-cluster-config-backup.json
. Confirm that the file’s
version
field is set to
1
. Cloud Manager automatically increments
this field as changes occur.
To add or update a deployment, retrieve the configuration , make changes as needed, and send the updated configuration though the API to Cloud Manager.
The following procedure deploys an updated automation configuration through the API :
Use the automationConfig resource to retrieve the configuration. Issue the following command, replacing the placeholders with the Variables for Cluster Creation API Resources.
curl --user "{PUBLIC-KEY}:{PRIVATE-KEY}" --digest \
--request GET "https://cloud.mongodb.com/api/public/v1.0/groups/{PROJECT-ID}/automationConfig?pretty=true" \
--output currentAutomationConfig.json
Validate the downloaded Automation Configuration file.
Compare the
version
field of the
currentAutomationConfig.json
with that of the Automation
Configuration backup file,
mms-cluster-config-backup.json
. The
version
value is the last element in both
JSON
documents.
You can find this file on any host running the MongoDB Agent at:
/var/lib/mongodb-mms-automation/mms-cluster-config-backup.json
%SystemDrive%\MMSAutomation\versions\mms-cluster-config-backup.json
If the
version
values match, you are working with the current
version of the Automation Configuration file.
Create a document with the following fields. As you build the configuration document, refer the description of an automation configuration for detailed explanations of the settings. For examples, see the MongoDB Labs page.
1 2 3 4 5 6 7 8 9 10 11 |
{
"options": {
"downloadBase": "/var/lib/mongodb-mms-automation",
},
"mongoDbVersions": [],
"monitoringVersions": [],
"backupVersions": [],
"processes": [],
"replicaSets": [],
"sharding": []
}
|
In the
monitoringVersions.hostname
field, enter the hostname of
the server where Cloud Manager should install the Monitoring. Use the fully
qualified domain name that running
hostname
-f
on the server
returns, as in the following:
1 2 3 4 5 6 7 8 9 10 |
"monitoringVersions": [
{
"hostname": "<server_x.example.com>",
"logPath": "/var/log/mongodb-mms-automation/monitoring-agent.log",
"logRotate": {
"sizeThresholdMB": 1000,
"timeThresholdHrs": 24
}
}
]
|
This configuration example also includes the
logPath
field, which
specifies the log location, and
logRotate
, which specifies the
log thresholds.
This sharded cluster has 10 MongoDB instances, as described in the
Deploy a Cluster through the API
, each running on its own
server. Thus, the automation configuration’s
processes
array will
have 10 documents, one for each MongoDB instance.
The following example adds the first document to the
processes
array. Replace
<process_name_1>
with any name you choose, and
replace
<server1.example.com>
with the
FQDN
of the host.
Add 9 documents: one for each MongoDB instance in your sharded cluster.
Specify the
args2_6
syntax for the
processes.<args>
field.
See
MongoDB Settings that Automation Supports
for more
information.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 |
"processes": [
{
"version": "4.0.6",
"name": "<process_name_1>",
"hostname": "<server1.example.com>",
"logRotate": {
"sizeThresholdMB": 1000,
"timeThresholdHrs": 24
},
"authSchemaVersion": 5,
"featureCompatibilityVersion": "4.0",
"processType": "mongod",
"args2_6": {
"net": {
"port": 27017
},
"storage": {
"dbPath": "/data/"
},
"systemLog": {
"path": "/data/mongodb.log",
"destination": "file"
},
"replication": {
"replSetName": "rs1"
}
}
},
]
|
Add two replica set documents to the
replicaSets
array. Add
three members to each document.
Example
This section adds one replica set member to the first replica set document:
Important
You must include
"protocolVersion":
1
in the root document
for each replica set.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 |
"replicaSets": [
{
"_id": "rs1",
"members": [
{
"_id": 0,
"host": "<process_name_1>",
"priority": 1,
"votes": 1,
"slaveDelay": 0,
"hidden": false,
"arbiterOnly": false
}
],
"protocolVersion": 1
}
]
|
In the
sharding
array, add the replica sets to the shards, and
add the config server replica set name, as in the following:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 |
"sharding": [
{
"shards": [
{
"tags": [],
"_id": "shard1",
"rs": "rs1"
},
{
"tags": [],
"_id": "shard2",
"rs": "rs2"
}
],
"name": "sharded_cluster_via_api",
"configServerReplica": "rs-config",
"collections": []
}
]
|
Use the automationConfig resource to send the updated automation configuration.
Issue the following command with path to the updated configuration document and replace the placeholders with the Variables for Cluster Creation API Resources.
curl --user "{PUBLIC-KEY}:{PRIVATE-KEY}" --digest \
--header "Content-Type: application/json"
--request PUT "https://cloud.mongodb.com/api/public/v1.0/groups/{PROJECT-ID}/automationConfig?pretty=true" \
--data @currentAutomationConfig.json
Upon successful update of the configuration, the API returns the HTTP
200
OK
status code to indicate the request has succeeded.
Retrieve the automation configuration from Cloud Manager and confirm it contains the changes. To retrieve the configuration, issue the following command, replacing the placeholders with the Variables for Cluster Creation API Resources.
curl --user "{PUBLIC-KEY}:{PRIVATE-KEY}" --digest \
--request GET "https://cloud.mongodb.com/api/public/v1.0/groups/{PROJECT-ID}/automationConfig?pretty=true"
Use the automationStatus resource to verify the configuration update is fully deployed. Issue the following command, replacing the value placeholders given in Variables for Cluster Creation API Resources:
curl --user "{PUBLIC-KEY}:{PRIVATE-KEY}" --digest \
--request GET "https://cloud.mongodb.com/api/public/v1.0/groups/{PROJECT-ID}/automationStatus?pretty=true"
The
curl
command returns a
JSON
object containing the
processes
array and the
goalVersion
key and value. The
processes
array contains a document for each server that hosts a
MongoDB instance. The new configuration is successfully deployed when
all
lastGoalVersionAchieved
fields in the
processes
array
equal the value specified for
goalVersion
.
Example
In this response,
processes[2].lastGoalVersionAchieved
is
behind
goalVersion
. This indicates that the MongoDB instance
at
server3.example.com
is running one version behind the
goalVersion
. Wait several seconds and issue the
curl
command again.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 |
{
"goalVersion": 2,
"processes": [{
"hostname": "server1.example.com",
"lastGoalVersionAchieved": 2,
"name": "ReplSet_0",
"plan": []
}, {
"hostname": "server2.example.com",
"lastGoalVersionAchieved": 2,
"name": "ReplSet_1",
"plan": []
}, {
"hostname": "server3.example.com",
"lastGoalVersionAchieved": 1,
"name": "ReplSet_2",
"plan":[]
}]
}
|
To view the new configuration in the Cloud Manager console, click Deployment .
To make an additional version of MongoDB available in the cluster, see Update the MongoDB Version of a Deployment .
On this page
At time
T
, the last write operation applied on the specified
secondary
of replica set
ABC
was behind the most recent
operation applied on the
primary
.
You can configure alert conditions in the project-level alert settings page to trigger alerts.
To learn more about the alert condition, see Replication Lag is .
To learn more, see Troubleshoot Replica Sets in the MongoDB manual.
View the following charts to monitor your progress:
Network
Monitor network metrics to track network performance.
Replication Headroom
Monitor replication headroom to determine whether the secondary might fall off the oplog.
Replication Lag
Monitor replication lag to determine whether the secondary might fall off the oplog.
To learn more, see View Deployment Metrics .
On this page
If your MongoDB deployment enforces access control, the MongoDB Agent must authenticate to MongoDB as a user with the proper access. If you use Automation , Cloud Manager takes care of this for you.
MongoDB Enterprise supports simple and SASL binding to
LDAP
servers
via
saslauthd
and operating system libraries:
saslauthd
or via operating system libraries.
MongoDB Agent support authenticating to MongoDB instances using LDAP .
Note
With Automation, Cloud Manager manages MongoDB Agent authentication for you. To learn more about authentication, see Enable LDAP Authentication for your Cloud Manager Project .
The MongoDB Agent interacts with the MongoDB databases in your deployment as a MongoDB user would. As a result, you must configure your MongoDB deployment and the MongoDB Agent to support authentication.
You can specify the deployment’s authentication mechanisms when adding the deployment, or you can edit the settings for an existing deployment. At minimum, the deployment must enable the authentication mechanism you want the MongoDB Agent to use. The MongoDB Agent can use any supported authentication mechanism .
On the MongoDB Agent hosts, you must set the
TLS_REQCERT
environment variable to
demand
.
Example
In a Red Hat Enterprise Linux host, open the
/etc/openldap/ldap.conf
file and add the following setting and
value:
TLS_REQCERT demand
You can use your application to set this environment variable.
If Automation does not manage your deployment, you must configure LDAP authentication separately for each function.
To configure LDAP authentication , add a host or edit an existing host’s configuration.
To automate MongoDB instances that use
LDAP
authentication, add
a MongoDB user that possesses the required roles and privileges
to the
$external
database in MongoDB. The
$external
database allows
mongod
to consult an external source, such as
an
LDAP
server, to authenticate.
Use the following commands to create the users from
mongosh
:
1 2 3 4 5 6 7 8 9 10 11 12 13 |
db.getSiblingDB("$external").createUser(
{
user : "<username>",
roles : [
{ role : "clusterAdmin", db : "admin" },
{ role : "readWriteAnyDatabase", db : "admin" },
{ role : "userAdminAnyDatabase", db : "admin" },
{ role : "dbAdminAnyDatabase", db : "admin" },
{ role : "backup", db : "admin" },
{ role : "restore", db : "admin" }
]
}
)
|
To learn more about the required access, see Required Access for MongoDB Agent .
To back up MongoDB 4.0 or later instances that use
LDAP
authentication, add a user that possess the required roles
to the
$external
database in MongoDB. The
$external
database stores credentials for external authentication and
authorization details.
Use the following
mongosh
command to create the user:
db.getSiblingDB("$external").createUser(
{
user : "<username>",
roles: [ {
role: "clusterAdmin", db: "admin"
} ]
}
)
db.getSiblingDB("$external").createUser(
{
user: "<username>",
roles: [ {
role: "backup", db: "admin"
} ]
}
)
To learn more about the required access, see Required Access for MongoDB Agent Backup
To monitor MongoDB 4.0 or later instances that use
LDAP
authentication, add a user to the
$external
database in
MongoDB. The
$external
database stores credentials for
external authentication and authorization details. Assign
this user the roles provided in the following example.
Use the following
mongosh
command to create the user:
db.getSiblingDB("$external").createUser(
{
user : "<username>",
roles: [ { role: "clusterMonitor", db: "admin" } ]
}
)
To learn what roles this function requires, see Monitoring settings .
What’s New
Welcome to the documentation for MongoDB Cloud Manager. Engineered by the team who develops MongoDB, Cloud Manager provides a complete package for managing MongoDB deployments.
On this page
Removing a process from monitoring means Cloud Manager no longer displays its status or tracks its metrics. You must terminate the deployment’s backups before you can remove a monitored deployment.
Follow this procedure to remove one monitored process from Cloud Manager.
For replica sets, select
Remove from Replica Set
.
For
mongod
processes in a sharded replica set, select
Remove From Shard
. For
mongos
processes,
select
Remove from Cluster
.
For replica sets, select
Remove from Replica Set
.
For
mongod
processes in a sharded replica set, select
Remove From Shard
. For
mongos
processes,
select
Remove from Cluster
.
The process that you removed earlier now appears as a standalone
process. However,
mongos
processes are automatically removed
from the cluster and do not appear.