Monitor Redis downtime in your Python application

We all know that Redis is a powerful in-memory data structure store, used as a database, cache, and message broker. Here at LogSnag, we commonly use Redis in our backend services to store it as our primary cache layer to improve the performance of our compute-intensive workloads.

However, just like any other service, Redis is not immune to downtime and outages. In fact, there are dozens of reasons why Redis can go down, including: network issues, hardware failures, and even human errors. In many cases, Redis downtime can be a critical issue causing degraded performance or even complete service outages. Resulting in a bad user experience or even loss of revenue.

Therefore, it is important to monitor Redis downtime in your application to ensure that your users are not affected by any downtime or outages. Fortunately, LogSnag makes it trivial to track such events and makes it easy for our team to monitor when Redis goes down.

With LogSnag, we can easily track the downtime of Redis and any other service in our application. The way we handle this is by watching the status of our Redis connection in our application. If the service is down, we instantly trigger an event to LogSnag. This allows our team to instantly be notified when Redis goes down and take the necessary steps to resolve the issue.

Setting up LogSnag

1. Sign up for a free LogSnag account.
2. Create your first project from the dashboard.
3. Head to settings and copy your API token.

Python code snippets

To track your Redis downtime, you can use the following code snippet Please don't forget to replace the YOUR_API_TOKEN with your API token and update the project and channel names.

import http.client
import json

conn = http.client.HTTPSConnection("api.logsnag.com")
payload = json.dumps({
  "project": "my-saas",
  "channel": "status",
  "event": "Redis is down",
  "description": "Redis has been down for the last 5 minutes",
  "icon": "🚨",
  "notify": True
})
headers = {
  'Content-Type': 'application/json',
  'Authorization': 'Bearer YOUR_API_TOKEN'
}
conn.request("POST", "/v1/log", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))

import requests
import json

url = "https://api.logsnag.com/v1/log"

payload = json.dumps({
  "project": "my-saas",
  "channel": "status",
  "event": "Redis is down",
  "description": "Redis has been down for the last 5 minutes",
  "icon": "🚨",
  "notify": True
})
headers = {
  'Content-Type': 'application/json',
  'Authorization': 'Bearer YOUR_API_TOKEN'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

Python integration details

LogSnag is a powerful, real-time event tracking tool that works seamlessly with Python. With LogSnag, you can set up event tracking for anything important to your team and monitor them in real-time.

In addition, you can set up custom charts, insights, and dashboards to visualize your data and make it easy to understand. LogSnag also provides powerful features such as cross-platform push notifications, event filtering, user and product journeys, and more.

LogSnag provides a generous free plan to get you started with event tracking. You can also check out our pricing page to see our paid plans. So please give us a try and let us know what you think!

Other use-cases for LogSnag

1. Monitor your CI/CD build status for your Python application
2. Monitor your CPU usage in your Python application
3. Monitor when database goes down in your Python application
4. Monitor high disk usage in your Python application
5. Monitor when a user changes their email address in your Python application
6. Monitor failed logins in your Python application
7. Monitor failed payments for your Python application
8. Monitor memory usage in your Python application
9. Monitor MySQL downtime in your Python application
10. Monitor when a new feature is used in your Python application
11. Monitor your Postgres downtime in your Python application
12. Monitor suspicious activity in your Python application
13. Monitor when a user exceeds the usage limit for your Python service
14. Monitor when a user is being rate limited in your Python application
15. Get a notification when your Python code is done executing
16. Send push notifications to your phone or desktop using Python
17. Track canceled subscriptions in your Python application
18. Track your Python cron jobs
19. Track when a file is uploaded to your Python application
20. Track when a form is submitted to your Python application
21. Track payment events via Python
22. Track user sign in events in Python
23. Track user signup events via Python
24. Track waitlist signup events via Python