SLA and uptime tracking in Rest API - Mini Project: Build & Apply

SLA and uptime tracking

📖 Scenario: You work for a company that provides online services. Your team needs to track the uptime of different services to make sure they meet the Service Level Agreement (SLA).Each service has a name and a list of uptime percentages recorded daily. You want to calculate which services meet the SLA threshold.

🎯 Goal: Build a simple program that stores uptime data for services, sets an SLA threshold, calculates which services meet the SLA, and prints the results.

📋 What You'll Learn

Create a dictionary with service names as keys and lists of daily uptime percentages as values

Create a variable for the SLA threshold percentage

Use a dictionary comprehension to find services that meet or exceed the SLA threshold on average

Print the dictionary of services that meet the SLA

💡 Why This Matters

🌍 Real World

Tracking uptime is important for companies to ensure their services are reliable and meet promised standards.

💼 Career

Many IT and DevOps roles require monitoring service performance and reporting SLA compliance.

1

Create the uptime data dictionary

Create a dictionary called services_uptime with these exact entries: 'Email': [99.9, 99.7, 99.8], 'Storage': [99.5, 99.6, 99.4], 'Chat': [99.8, 99.9, 99.7]

Rest API

# Create the services_uptime dictionary with the given data
# Your code here

Need a hint?

Use curly braces to create a dictionary. Each key is a service name string, and each value is a list of floats.

2

Set the SLA threshold

Create a variable called sla_threshold and set it to 99.7

Rest API

services_uptime = {
    'Email': [99.9, 99.7, 99.8],
    'Storage': [99.5, 99.6, 99.4],
    'Chat': [99.8, 99.9, 99.7]
}
# Create sla_threshold variable and set it to 99.7
# Your code here

Need a hint?

Just create a variable and assign the number 99.7 to it.

3

Find services meeting the SLA

Use a dictionary comprehension to create a dictionary called services_meeting_sla that includes only services from services_uptime whose average uptime is greater than or equal to sla_threshold. Use sum() and len() to calculate the average uptime for each service.

Rest API

services_uptime = {
    'Email': [99.9, 99.7, 99.8],
    'Storage': [99.5, 99.6, 99.4],
    'Chat': [99.8, 99.9, 99.7]
}
sla_threshold = 99.7
# Create services_meeting_sla dictionary using dictionary comprehension
# Your code here

Need a hint?

Use dictionary comprehension syntax: {key: value for key, value in dict.items() if condition}.

4

Print the services meeting SLA

Write a print() statement to display the services_meeting_sla dictionary.

Rest API

services_uptime = {
    'Email': [99.9, 99.7, 99.8],
    'Storage': [99.5, 99.6, 99.4],
    'Chat': [99.8, 99.9, 99.7]
}
sla_threshold = 99.7
services_meeting_sla = {service: uptimes for service, uptimes in services_uptime.items() if sum(uptimes) / len(uptimes) >= sla_threshold}
# Print the services_meeting_sla dictionary
# Your code here

Need a hint?

Use print(services_meeting_sla) to show the final dictionary.