Metrics collection (Prometheus) in Microservices - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the Prometheus client library in Python.

Microservices

from prometheus_client import [1]

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ACollectorRegistry

BCounter

Cstart_http_server

DGauge

Attempts:

3 left

💡 Hint

Common Mistakes

Importing a metric type that does not count events.

Importing a function instead of a metric class.

The Counter class is commonly imported to create a metric that counts events.

2fill in blank

medium

Complete the code to start the Prometheus metrics HTTP server on port 8000.

Microservices

start_http_server([1])

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A8080

B9090

C8000

D5000

Attempts:

3 left

💡 Hint

Common Mistakes

Using the default Prometheus server port 9090 instead of the exporter port.

Using a port that is not open or commonly used.

Port 8000 is commonly used in examples to expose Prometheus metrics.

3fill in blank

hard

Fix the error in the code to increment the counter metric named 'requests_total'.

Microservices

requests_total = Counter('requests_total', 'Total number of requests')
requests_total[1]()

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Ainc

Bincrement

Cadd

Dincrease

Attempts:

3 left

💡 Hint

Common Mistakes

Using method names that do not exist in the Counter class.

Trying to add values with incorrect method names.

The correct method to increase a Prometheus Counter by 1 is inc().

4fill in blank

hard

Fill both blanks to create a Gauge metric and set its value to 5.

Microservices

g = [1]('temperature_celsius', 'Current temperature in Celsius')
g.[2](5)

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AGauge

BCounter

Cset

Dinc

Attempts:

3 left

💡 Hint

Common Mistakes

Using Counter instead of Gauge for values that can go up and down.

Using inc() instead of set() to assign a value.

A Gauge metric can be set to any value using the set() method.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that collects metrics only for services with more than 10 requests.

Microservices

metrics = [1]: [2] for [1], [2] in service_requests.items() if [2] > 10

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Aservice

Bcount

Cservice_requests

Drequests

Attempts:

3 left

💡 Hint

Common Mistakes

Using the dictionary name as a variable name inside the loop.

Mixing up key and value variable names.

The dictionary comprehension iterates over service_requests.items() with variables service and count. It collects entries where count is greater than 10.