Monitoring Apps in GCP
Monitoring Apps in GCP
Deploy an application to Google Cloud and then use the tools provided by Google Cloud to monitor it.
- Cloud Logging,
- Trace,
- Profiler, and
- Dashboards
- Create uptime checks and alerting policies.
Note: Profiler allows you to monitor the resources your applications use.
Note: This code simply turns Profiler on. Once on, Profiler starts reporting application metrics to Google Cloud.
student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$ cat main.py
from flask import Flask, render_template, request
import googlecloudprofiler
app = Flask(__name__)
@app.route("/")
def main():
model = {"title": "Hello GCP."}
return render_template('index.html', model=model)
try:
googlecloudprofiler.start(verbose=3)
except (ValueError, NotImplementedError) as exc:
print(exc)
if __name__ == "__main__":
app.run(host='0.0.0.0', port=8080, debug=True, threaded=True)student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$
student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$ cat requirements.txt
Flask==2.0.3
itsdangerous==2.0.1
Jinja2==3.0.3
werkzeug==2.2.2
google-cloud-profiler==3.0.6
protobuf==3.20.1student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$
Profiler has to be enabled in the project. In Cloud Shell, enter the following command:
student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$ gcloud services enable cloudprofiler.googleapis.com
Operation "operations/acat.p2-436242463909-59953dd5-af9d-49c3-87c5-56aeef67548c" finished successfully.
student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$
To test the program, enter the following command to build a Docker container of the image:
student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$ docker build -t test-python .
[+] Building 47.4s (10/10) FINISHED docker:default
=> [internal] load build definition from Dockerfile 0.0s
=> => transferring dockerfile: 217B 0.0s
=> [internal] load metadata for docker.io/library/python:3.7 0.6s
=> [internal] load .dockerignore 0.0s
=> => transferring context: 2B 0.0s
=> [1/5] FROM docker.io/library/python:3.7@sha256:eedf63967cdb57d8214db38ce21f105003ed4e4d0358f02bedc057341bcf92a0 24.4s
=> => resolve docker.io/library/python:3.7@sha256:eedf63967cdb57d8214db38ce21f105003ed4e4d0358f02bedc057341bcf92a0 0.0s
=> => sha256:eedf63967cdb57d8214db38ce21f105003ed4e4d0358f02bedc057341bcf92a0 1.86kB / 1.86kB 0.0s
=> => sha256:167b8a53ca4504bc6aa3182e336fa96f4ef76875d158c1933d3e2fa19c57e0c3 49.56MB / 49.56MB 0.8s
=> => sha256:2011a37d2a08fe83dd9ff923e0f83bfd7290152e2e6afe359bde1453170d9bdc 2.01kB / 2.01kB 0.0s
=> => sha256:16d93ae3411be3db255b6b52fdfc155a0dff0f697c2e4e3d862caf8d978830b2 8.13kB / 8.13kB 0.0s
=> => sha256:b47a222d28fa95680198398973d0a29b82a968f03e7ef361cc8ded562e4d84a3 24.03MB / 24.03MB 0.6s
=> => sha256:debce5f9f3a9709885f7f2ad3cf41f036a3b57b406b27ba3a883928315787042 64.11MB / 64.11MB 1.1s
=> => sha256:1d7ca7cd2e066ae77ac6284a9d027f72a31a02a18bfc2a249ef2e7b01074338b 211.04MB / 211.04MB 3.7s
=> => sha256:ff3119008f58beef8f336fa833707b0fe914db94ca6b7bb55abe3e1bf2b1ad56 6.39MB / 6.39MB 1.4s
=> => sha256:c2423a76a32b7ffb2ee7bb6d1e0c74bb1811237eddcb3200594daf7a52d4f378 14.70MB / 14.70MB 1.5s
=> => extracting sha256:167b8a53ca4504bc6aa3182e336fa96f4ef76875d158c1933d3e2fa19c57e0c3 3.9s
=> => sha256:e1c98ca4926a91839805ce76d76a70225e303007331ee60f45dfabbbf55fd8c8 244B / 244B 1.5s
=> => sha256:3b62c8e1d79b6554a8bffcf196ff5dd822858c179f1f8dc6f0c74a288859a6fb 2.85MB / 2.85MB 1.7s
=> => extracting sha256:b47a222d28fa95680198398973d0a29b82a968f03e7ef361cc8ded562e4d84a3 0.9s
=> => extracting sha256:debce5f9f3a9709885f7f2ad3cf41f036a3b57b406b27ba3a883928315787042 4.2s
=> => extracting sha256:1d7ca7cd2e066ae77ac6284a9d027f72a31a02a18bfc2a249ef2e7b01074338b 11.5s
=> => extracting sha256:ff3119008f58beef8f336fa833707b0fe914db94ca6b7bb55abe3e1bf2b1ad56 0.4s
=> => extracting sha256:c2423a76a32b7ffb2ee7bb6d1e0c74bb1811237eddcb3200594daf7a52d4f378 0.9s
=> => extracting sha256:e1c98ca4926a91839805ce76d76a70225e303007331ee60f45dfabbbf55fd8c8 0.0s
=> => extracting sha256:3b62c8e1d79b6554a8bffcf196ff5dd822858c179f1f8dc6f0c74a288859a6fb 0.4s
=> [internal] load build context 0.0s
=> => transferring context: 1.48kB 0.0s
=> [2/5] WORKDIR /app 1.7s
=> [3/5] COPY . . 0.0s
=> [4/5] RUN pip install gunicorn 3.9s
=> [5/5] RUN pip install -r requirements.txt 15.4s
=> exporting to image 1.1s
=> => exporting layers 1.1s
=> => writing image sha256:c3f1fbff6b5b05ba0e2711e56d8a9050bcdd32ee9b14c698c240aac46416a04a 0.0s
=> => naming to docker.io/library/test-python 0.0s
student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$
student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$ docker run --rm -p 8080:8080 test-python
[2024-04-16 15:46:59 +0000] [1] [INFO] Starting gunicorn 21.2.0
[2024-04-16 15:46:59 +0000] [1] [INFO] Listening at: http://0.0.0.0:8080 (1)
[2024-04-16 15:46:59 +0000] [1] [INFO] Using worker: gthread
[2024-04-16 15:46:59 +0000] [9] [INFO] Booting worker with pid: 9
WARNING:google.auth._default:No project ID could be determined. Consider running `gcloud config set project` or setting the GOOGLE_CLOUD_PROJECT environment variable
^C[2024-04-16 15:47:23 +0000] [1] [INFO] Handling signal: int
Unable to determine the project ID from the environment. project ID mush be provided if running outside of GCP.
[2024-04-16 15:47:23 +0000] [9] [INFO] Worker exiting (pid: 9)
[2024-04-16 15:47:24 +0000] [1] [INFO] Shutting down: Master
student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$
Deploy an application to App Engine and examine the Cloud logs
Now you will deploy the program to App Engine and use Google Cloud tools to monitor it.
On the File menu, click New File, and then name the file app.yaml.
student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$ cat app.yaml
runtime: python39student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$
In a project, an App Engine application has to be created. This is done just once using the gcloud app create command and specifying the region where you want the app to be created. Enter the following command:
student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$ gcloud app create --region=us-east4
You are creating an app for project [qwiklabs-gcp-03-57e29b122480].
WARNING: Creating an App Engine application for a project is irreversible and the region
cannot be changed. More information about regions is at
<https://cloud.google.com/appengine/docs/locations>.
Creating App Engine application in project [qwiklabs-gcp-03-57e29b122480] and region [us-east4]....done.
Success! The app is now created. Please use `gcloud app deploy` to deploy your first app.
student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$
student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$ gcloud app deploy --version=one --quiet
Services to deploy:
descriptor: [/home/student_03_b88891f8e948/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp/app.yaml]
source: [/home/student_03_b88891f8e948/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp]
target project: [qwiklabs-gcp-03-57e29b122480]
target service: [default]
target version: [one]
target url: [https://qwiklabs-gcp-03-57e29b122480.uk.r.appspot.com]
target service account: [qwiklabs-gcp-03-57e29b122480@appspot.gserviceaccount.com]
Beginning deployment of service [default]...
Created .gcloudignore file. See `gcloud topic gcloudignore` for details.
Uploading 7 files to Google Cloud Storage
14%
29%
43%
57%
71%
86%
100%
100%
File upload done.
Updating service [default]...done.
Setting traffic split for service [default]...done.
Deployed service [default] to [https://qwiklabs-gcp-03-57e29b122480.uk.r.appspot.com]
You can stream logs from the command line by running:
$ gcloud app logs tail -s default
To view your application in the web browser run:
$ gcloud app browse
student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$
student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$ curl https://qwiklabs-gcp-03-57e29b122480.uk.r.appspot.com/
<!doctype html>
<html lang="en">
<head>
<title>Hello GCP.</title>
<!-- Bootstrap CSS -->
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.4.1/css/bootstrap.min.css">
</head>
<body>
<div class="container">
<div class="jumbotron">
<div class="container">
<h1>Hello GCP.</h1>
</div>
</div>
<footer></footer>
</div>
</body>
</html>student_03_b88891f8e948@cloudshell:~/gcp-logging/training-data-analyst/courses/design-process/deploying-apps-to-gcp (qwiklabs-gcp-03-57e29b122480)$
[
{
"protoPayload": {
"@type": "type.googleapis.com/google.cloud.audit.AuditLog",
"status": {},
"authenticationInfo": {
"principalEmail": "student-03-b88891f8e948@qwiklabs.net"
},
"requestMetadata": {
"callerIp": "34.124.235.65",
"requestAttributes": {
"time": "2024-04-16T15:50:35.737256Z",
"auth": {}
},
"destinationAttributes": {}
},
"serviceName": "appengine.googleapis.com",
"methodName": "google.appengine.v1.Versions.CreateVersion",
"authorizationInfo": [
{
"resource": "apps/qwiklabs-gcp-03-57e29b122480/services/default/versions/one",
"permission": "appengine.versions.create",
"granted": true,
"resourceAttributes": {},
"permissionType": "ADMIN_WRITE"
}
],
"resourceName": "apps/qwiklabs-gcp-03-57e29b122480/services/default/versions/one",
"serviceData": {
"@type": "type.googleapis.com/google.appengine.v1.AuditData",
"createVersion": {
"request": {
"parent": "apps/qwiklabs-gcp-03-57e29b122480/services/default",
"version": {
"id": "one",
"runtime": "python39",
"entrypoint": {
"shell": ""
}
}
}
}
},
"resourceLocation": {
"currentLocations": [
"us-east4"
]
}
},
"insertId": "-6xner6d12iq",
"resource": {
"type": "gae_app",
"labels": {
"module_id": "default",
"project_id": "qwiklabs-gcp-03-57e29b122480",
"zone": "",
"version_id": "one"
}
},
"timestamp": "2024-04-16T15:50:35.559401Z",
"severity": "NOTICE",
"logName": "projects/qwiklabs-gcp-03-57e29b122480/logs/cloudaudit.googleapis.com%2Factivity",
"operation": {
"id": "ad8bdc29-b8d5-45d8-98c1-fcd8a8b01df7",
"producer": "appengine.googleapis.com",
"first": true
},
"receiveTimestamp": "2024-04-16T15:50:35.961165649Z"
},
{
"protoPayload": {
"@type": "type.googleapis.com/google.cloud.audit.AuditLog",
"authenticationInfo": {
"principalEmail": "student-03-b88891f8e948@qwiklabs.net"
},
"requestMetadata": {
"requestAttributes": {},
"destinationAttributes": {}
},
"serviceName": "appengine.googleapis.com",
"methodName": "google.appengine.v1.Versions.CreateVersion",
"resourceName": "apps/qwiklabs-gcp-03-57e29b122480/services/default/versions/one",
"resourceLocation": {
"currentLocations": [
"us-east4"
]
}
},
"insertId": "-oyos0qcmdm",
"resource": {
"type": "gae_app",
"labels": {
"zone": "",
"project_id": "qwiklabs-gcp-03-57e29b122480",
"module_id": "default",
"version_id": "one"
}
},
"timestamp": "2024-04-16T15:52:04.365253Z",
"severity": "NOTICE",
"logName": "projects/qwiklabs-gcp-03-57e29b122480/logs/cloudaudit.googleapis.com%2Factivity",
"operation": {
"id": "ad8bdc29-b8d5-45d8-98c1-fcd8a8b01df7",
"producer": "appengine.googleapis.com",
"last": true
},
"receiveTimestamp": "2024-04-16T15:52:05.176559114Z"
},
{
"protoPayload": {
"@type": "type.googleapis.com/google.appengine.logging.v1.RequestLog",
"appId": "d~qwiklabs-gcp-03-57e29b122480",
"versionId": "one",
"requestId": "661e9edd00ff00ffbd8fe770f95a0001647e7177696b6c6162732d6763702d30332d35376532396231323234383000016f6e65000100",
"ip": "122.171.22.62",
"startTime": "2024-04-16T15:53:02.387974Z",
"endTime": "2024-04-16T15:53:04.608886Z",
"latency": "2.220912s",
"megaCycles": "6377",
"method": "GET",
"resource": "/",
"httpVersion": "HTTP/1.1",
"status": 200,
"responseSize": "506",
"userAgent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:124.0) Gecko/20100101 Firefox/124.0",
"urlMapEntry": "auto",
"host": "qwiklabs-gcp-03-57e29b122480.uk.r.appspot.com",
"wasLoadingRequest": true,
"instanceIndex": -1,
"finished": true,
"instanceId": "00a22404dc9c5c0e1c2eb0a65f35d7b249dfe0fdcccde96f1a8b890aa264fc1cbe9b09fd400f6cb016a92340ddd77974ccb20b94c448a47053cce44ade801a",
"line": [
{
"time": "2024-04-16T15:53:04.608669Z",
"severity": "INFO",
"logMessage": "This request caused a new process to be started for your application, and thus caused your application code to be loaded for the first time. This request may thus take longer and use more CPU than a typical request for your application."
}
],
"appEngineRelease": "1.9.71",
"traceId": "5a394110b7cf7d519e782771f2476e4a",
"first": true,
"traceSampled": true,
"spanId": "2703176114609722884"
},
"insertId": "661e9ee000094d9f68b9c208",
"httpRequest": {
"status": 200
},
"resource": {
"type": "gae_app",
"labels": {
"project_id": "qwiklabs-gcp-03-57e29b122480",
"zone": "us-east4-3",
"version_id": "one",
"module_id": "default"
}
},
"timestamp": "2024-04-16T15:53:02.387974Z",
"severity": "INFO",
"labels": {
"clone_id": "00a22404dc9c5c0e1c2eb0a65f35d7b249dfe0fdcccde96f1a8b890aa264fc1cbe9b09fd400f6cb016a92340ddd77974ccb20b94c448a47053cce44ade801a"
},
"logName": "projects/qwiklabs-gcp-03-57e29b122480/logs/appengine.googleapis.com%2Frequest_log",
"operation": {
"id": "661e9edd00ff00ffbd8fe770f95a0001647e7177696b6c6162732d6763702d30332d35376532396231323234383000016f6e65000100",
"producer": "appengine.googleapis.com/request_id",
"first": true,
"last": true
},
"trace": "projects/qwiklabs-gcp-03-57e29b122480/traces/5a394110b7cf7d519e782771f2476e4a",
"receiveTimestamp": "2024-04-16T15:53:04.614347811Z",
"spanId": "2703176114609722884",
"traceSampled": true
},
{
"textPayload": "[pid1] started [session:N60B72P]",
"insertId": "661e9ede000a5a766e2dcda8",
"resource": {
"type": "gae_app",
"labels": {
"version_id": "one",
"project_id": "qwiklabs-gcp-03-57e29b122480",
"zone": "us-east4-3",
"module_id": "default"
}
},
"timestamp": "2024-04-16T15:53:02.678518Z",
"severity": "INFO",
"labels": {
"clone_id": "00a22404dc9c5c0e1c2eb0a65f35d7b249dfe0fdcccde96f1a8b890aa264fc1cbe9b09fd400f6cb016a92340ddd77974ccb20b94c448a47053cce44ade801a"
},
"logName": "projects/qwiklabs-gcp-03-57e29b122480/logs/%2Fvar%2Flog%2Fgoogle_init.log",
"receiveTimestamp": "2024-04-16T15:53:02.681806105Z"
},
{
"textPayload": "[pid1-app] Using app start info from /srv/.googleconfig/app_start.json: &main.appStart{Entrypoint:struct { Type string \"json:\\\"type\\\"\"; UnparsedValue string \"json:\\\"unparsed_value\\\"\"; Command string \"json:\\\"command\\\"\"; WorkDir string \"json:\\\"workdir\\\"\" }{Type:\"Default\", UnparsedValue:\"\", Command:\"/serve\", WorkDir:\"\"}, EntrypointFromAppYAML:\"\", EntrypointContents:\"\", Runtime:\"python39\"} [session:N60B72P]",
"insertId": "661e9ede000a651c85ce8a22",
"resource": {
"type": "gae_app",
"labels": {
"module_id": "default",
"zone": "us-east4-3",
"version_id": "one",
"project_id": "qwiklabs-gcp-03-57e29b122480"
}
},
"timestamp": "2024-04-16T15:53:02.681244Z",
"severity": "DEBUG",
"labels": {
"clone_id": "00a22404dc9c5c0e1c2eb0a65f35d7b249dfe0fdcccde96f1a8b890aa264fc1cbe9b09fd400f6cb016a92340ddd77974ccb20b94c448a47053cce44ade801a"
},
"logName": "projects/qwiklabs-gcp-03-57e29b122480/logs/%2Fvar%2Flog%2Fgoogle_init.log",
"receiveTimestamp": "2024-04-16T15:53:03.015158Z"
},
{
"textPayload": "[pid1] Starting processes [app nginx] [session:N60B72P]",
"insertId": "661e9ede000a6677ff722db5",
"resource": {
"type": "gae_app",
"labels": {
"zone": "us-east4-3",
"version_id": "one",
"module_id": "default",
"project_id": "qwiklabs-gcp-03-57e29b122480"
}
},
"timestamp": "2024-04-16T15:53:02.681591Z",
"severity": "INFO",
"labels": {
"clone_id": "00a22404dc9c5c0e1c2eb0a65f35d7b249dfe0fdcccde96f1a8b890aa264fc1cbe9b09fd400f6cb016a92340ddd77974ccb20b94c448a47053cce44ade801a"
},
"logName": "projects/qwiklabs-gcp-03-57e29b122480/logs/%2Fvar%2Flog%2Fgoogle_init.log",
"receiveTimestamp": "2024-04-16T15:53:03.015158Z"
},
{
"textPayload": "[pid1-app] app has no prerequisites, starting immediately [session:N60B72P]",
"insertId": "661e9ede000a69df3b050a56",
"resource": {
"type": "gae_app",
"labels": {
"project_id": "qwiklabs-gcp-03-57e29b122480",
"version_id": "one",
"module_id": "default",
"zone": "us-east4-3"
}
},
"timestamp": "2024-04-16T15:53:02.682463Z",
"severity": "INFO",
"labels": {
"clone_id": "00a22404dc9c5c0e1c2eb0a65f35d7b249dfe0fdcccde96f1a8b890aa264fc1cbe9b09fd400f6cb016a92340ddd77974ccb20b94c448a47053cce44ade801a"
},
"logName": "projects/qwiklabs-gcp-03-57e29b122480/logs/%2Fvar%2Flog%2Fgoogle_init.log",
"receiveTimestamp": "2024-04-16T15:53:03.015158Z"
},
{
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View Profiler information
In the Cloud Console, on the Navigation menu (
Note: The gray bar at the top represents the total amount of CPU time used by the program. The bars below represent the amount of CPU time used by the program’s functions relative to the total. At this point, there is no traffic, so the chart is not very interesting. Throw some load at the application.
student-03-b88891f8e948@instance-20240416-155756:~$ ab -n 1000 -c 10 https://qwiklabs-gcp-03-57e29b122480.uk.r.appspot.com/
{snip}
Completed 1000 requests
Finished 1000 requests
Server Software: Google
Server Hostname: qwiklabs-gcp-03-57e29b122480.uk.r.appspot.com
Server Port: 443
SSL/TLS Protocol: TLSv1.3,TLS_AES_256_GCM_SHA384,256,256
Server Temp Key: X25519 253 bits
TLS Server Name: qwiklabs-gcp-03-57e29b122480.uk.r.appspot.com
Document Path: /
Document Length: 0 bytes
Concurrency Level: 10
Time taken for tests: 10.984 seconds
Complete requests: 1000
Failed requests: 1000
(Connect: 0, Receive: 0, Length: 1000, Exceptions: 0)
Total transferred: 635008 bytes
HTML transferred: 413000 bytes
Requests per second: 91.04 [#/sec] (mean)
Time per request: 109.838 [ms] (mean)
Time per request: 10.984 [ms] (mean, across all concurrent requests)
Transfer rate: 56.46 [Kbytes/sec] received
Connection Times (ms)
min mean[+/-sd] median max
Connect: 3 5 1.7 4 15
Processing: 22 104 29.3 98 208
Waiting: 22 103 29.3 97 207
Total: 26 109 29.2 103 212
Percentage of the requests served within a certain time (ms)
50% 103
66% 107
75% 112
80% 116
90% 155
95% 177
98% 192
99% 198
100% 212 (longest request)
student-03-b88891f8e948@instance-20240416-155756:~$
Each bar represents a function. The width of the bars represents how much CPU time each function consumed.
The Profiler is a way developers can track down parts of a program that are consuming too many resources.
Explore Cloud Trace
- Every request to your application is added to the Trace list. On the Navigation menu (
The overview screen shows recent requests and allows you to create reports to analyze traffic. Because your program is new and has only one page, it’s not very interesting, but in a real app there would be lots of useful information.
- Click Trace Explorer.
This shows a history of requests and their latency. Again, it’s not very exciting because the application hasn’t been running for very long. The chart in the upper-left plots requests and how long they took. The table to the right shows a list of requests. If you select a request, more detail will be displayed at the bottom of the screen.
Monitor resources using Dashboards
Cloud Monitoring analyzes the resources used in your projects and generates some default dashboards for you.
Create uptime checks and alerts
Alert firing No severity
Condition type Uptime Monitoring fired
| Start time April 16, 2024 at 4:17PM UTC (less than 1 sec ago) | Policy Uptime Check Alert | |
|---|---|---|
| Project qwiklabs-gcp-03-57e29b122480 | Condition Uptime Health Check on App Engine Uptime Check |
metric : monitoring.googleapis.com/uptime_check/check_passed
host : qwiklabs-gcp-03-57e29b122480.uk.r.appspot.com
project_id : qwiklabs-gcp-03-57e29b122480