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<@ULVA73B9P> howdo i send metrics from selfhosted ...
# ask-marvin
r
@Marvin howdo i send metrics from selfhosted server to prometheus in kubernetes
m
I'll be happy to help you with this. First, let's determine which version of Prefect you're using, as the steps can vary between Prefect 2.x and 3.x. Could you please specify your Prefect version? If you're unsure, you can provide additional context such as whether you're using Prefect with a specific deployment method or any specific features you're using.
r
@Marvin I am using prefect version 3
m
To integrate Prefect 3 with Prometheus for sending metrics from a self-hosted server to a Kubernetes environment, here are the general steps you need to follow: 1. Instrumenting Prefect to expose metrics: Prefect doesn't directly handle Prometheus metric exposition. However, you can utilize Prometheus Python Client to instrument your Prefect tasks and flows. First, install the Prometheus client library:
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sh
   pip install prometheus-client
2. Creating a custom Prometheus metric: You should create custom metrics in your Prefect flow or tasks. Here’s an example of creating a counter metric in a Prefect task:
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python
   from prometheus_client import Counter, start_http_server
   from prefect import task, Flow

   # Define a Prometheus Counter
   c = Counter('my_task_count', 'Counts how many times my task is run')

   @task
   def my_prefect_task():
       c.inc()  # Increment the counter
       # Your task logic here

   # Start a Prometheus HTTP server on port 8000
   start_http_server(8000)

   with Flow("My Flow") as flow:
       my_prefect_task()

   # Execute the flow
   flow.run()
3. Exposing the Prometheus metrics: By starting the Prometheus HTTP server using 
start_http_server
, your metrics will be exposed on 
http://<your_server>:8000/metrics
. 4. Configuring Prometheus in Kubernetes: Assuming you have a Prometheus instance running in your Kubernetes cluster, you need to configure it to scrape metrics from your self-hosted server. Here’s a basic example of how you might set up a 
scrape_config
in the Prometheus configuration file (
prometheus.yml
):
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yaml
   scrape_configs:
     - job_name: 'prefect_metrics'
       static_configs:
         - targets: ['your_server_ip_or_hostname:8000']
5. Apply the Prometheus configuration: Update your Prometheus deployment in your Kubernetes cluster with the new configuration. This usually involves updating the ConfigMap and restarting your Prometheus pods. Resources and Documentation: - You can refer to the following links for further detailed information: - Prefect integrations: Prefect Integrations - What's new in Prefect 3: What's new in Prefect 3 - Custom triggers and events automation in Prefect 3: Custom Triggers If you need any more details or run into issues, feel free to ask!
r
@Marvin what are these env variables
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PREFECT_API_ENABLE_METRICS: false
PREFECT_CLIENT_ENABLE_METRICS: false
PREFECT_CLIENT_METRICS_PORT: 4201
m
From the documentation, it's clear that the environment variables you've mentioned are related to configuring metrics for the Prefect API and client. Here’s what they mean: 1. 
PREFECT_API_ENABLE_METRICS
: - This environment variable, when set to 
true
, enables metrics collection for the Prefect API server. Setting it to 
false
(as shown in your example) disables metrics collection. 2. 
PREFECT_CLIENT_ENABLE_METRICS
: - Similar to the API metrics variable, this enables or disables metrics collection for the Prefect client. When set to 
true
, it enables metrics collection; 
false
disables it. 3. 
PREFECT_CLIENT_METRICS_PORT
: - This variable specifies the port on which the Prefect client will expose its metrics. In your case, it's set to 
4201
. These settings are particularly useful if you want to have detailed observability over Prefect's internal workings through Prometheus or other monitoring tools. For more information, you can refer to the Prefect 3.0 documentation on settings and profiles: Prefect 3.0 Settings and Profiles. If you need any more details or have specific questions about configuring these metrics, feel free to ask!
r
@Marvin how do i use these variables and connect to prometheus
m
To use these environment variables and connect your Prefect setup to Prometheus, follow these steps: 1. Set the Environment Variables: Configure your environment to include the necessary Prefect metrics variables. You can do this by exporting them in your shell, adding them to your Docker container, or including them in your Kubernetes deployment. Example in a shell environment:
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sh
   export PREFECT_API_ENABLE_METRICS=true
   export PREFECT_CLIENT_ENABLE_METRICS=true
   export PREFECT_CLIENT_METRICS_PORT=4201
Example in a Dockerfile:
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Dockerfile
   ENV PREFECT_API_ENABLE_METRICS=true
   ENV PREFECT_CLIENT_ENABLE_METRICS=true
   ENV PREFECT_CLIENT_METRICS_PORT=4201
Example in a Kubernetes Deployment:
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yaml
   apiVersion: apps/v1
   kind: Deployment
   metadata:
     name: prefect-server
   spec:
     template:
       spec:
         containers:
         - name: prefect
           image: prefecthq/prefect:latest
           env:
           - name: PREFECT_API_ENABLE_METRICS
             value: "true"
           - name: PREFECT_CLIENT_ENABLE_METRICS
             value: "true"
           - name: PREFECT_CLIENT_METRICS_PORT
             value: "4201"
2. Expose Metrics: By setting the 
PREFECT_CLIENT_METRICS_PORT
, the Prefect client will automatically start exposing metrics on the specified port (4201 in this case). Ensure that this port is accessible. 3. Configure Prometheus: Add a scrape configuration to the Prometheus configuration file (
prometheus.yml
) to collect metrics from the Prefect client. Example Prometheus configuration:
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yaml
   scrape_configs:
     - job_name: 'prefect_client_metrics'
       static_configs:
         - targets: ['your_prefect_client_host:4201']
Replace 
your_prefect_client_host
with the hostname or IP address of your Prefect client. 4. Deploy Prefect and Prometheus: - Deploy your Prefect setup with the configured environment variables. - Ensure Prometheus is running with the updated configuration to start scraping metrics from the Prefect client. 5. Verify Metrics Collection: - Access the Prometheus web UI and navigate to the "Targets" page. You should see your Prefect client listed as a target with a status of 
UP
. - On the Prometheus "Graph" page, you can query for metrics being collected. This setup ensures that both the Prefect API and client metrics are enabled, exposed on the specified port, and collected by Prometheus for monitoring. For more detailed information, refer to the relevant sections in the Prefect 3.0 documentation on settings and profiles. If you encounter any issues or need further assistance, feel free to ask!
r
@marvin this doesnot work
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