MasteringBackend
COURSE

Logging and Caching in Python

Learn to implement production-grade logging and caching in Django — configure FileHandler logging, instrument views with logger calls, set up LocMemCache, and implement cache.get / cache.set / cache.d

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DjangoPythonLoggingCachingBackendREST APIDjango REST FrameworkPerformance 3 hr 5 Chapters Certificate
Logging and Caching in Python

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Course Description

Logging and caching are two of the most important practices for building production-ready backend systems. In this course, you will learn how to implement both inside a real Django REST API — a recipe management application — and understand exactly what happens at each step of the request lifecycle.

We start by defining what logging and caching are, why they matter, and what types exist. You will then config

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What you'll learn

  • Master Logging and Caching in Python from fundamentals to advanced concepts

  • Build real-world projects applying what you've learned

  • Understand best practices and industry standards

  • Gain confidence to work on production-level applications

  • Prepare for technical interviews and career advancement

Course Content

01

Course Overview

A high-level preview of everything covered in the Logging and Caching course — from core definitions and types through to Django configuration, implementation, testing, and performance monitoring.

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02

Introduction to Logging and Caching

Deep-dive definitions of logging and caching, the three types of logs, the core benefits of caching, and an introduction to the demo project — a Django REST API for managing recipes and users.

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03

Foundations of Caching

A focused deep-dive into the types of caching — client-side versus server-side, and in-memory versus persistent versus distributed — with guidance on when to use each.

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04

Logging and Caching Implementation

Hands-on implementation of logging and caching in the recipe API — instrumenting views with logger calls, implementing cache.get / cache.set / cache.delete, and testing both end-to-end with Swagger UI.

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05

Optimizing Cache

Monitor and optimise cache performance using hit rate, miss rate, latency, and memory usage metrics. Covers cache key design, eviction policies, cache warming, and a full course summary.

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Certificate of Completion

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has successfully completed the course

Logging and Caching in Python

Date

Apr 2026

Instructor

MB Team

Certificate ID

MB-DTJP4R

Instructor Signature

MB Team

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Platform Authority

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Instructor

MasteringBackend
Mastering Backend

Course Resources

5
Chapters
13
Videos
2
Quizzes

Additional resources and downloads available inside the course.

Course Details

Duration
3 hrs

Real Students.
Real Success Stories.

Lyle Christine
Lyle ChristineA Happy Student from Scotland

"I truly appreciate the high-quality material in this course. The structured lessons, hands-on projects, and clear explanations make learning a great experience. I look forward to future additions and updates! Thanks for your polite and friendly attitude."

Daniel Tinivella
Daniel TinivellaSoftware Engineer, Globant

"The practical examples and hands-on exercises were particularly beneficial. They not only reinforced the theoretical concepts but also allowed me to apply them in real-world scenarios. The inclusion of best practices and common pitfalls added a practical dimension to the learning process."

Eshan Shafeeq
Eshan ShafeeqBlockchain & Web3 Engineer, Cake Defi

"The course is an excellent resource for beginners. Your explanations of the basics are clear, making it easy for newcomers to grasp. I particularly enjoyed the task management application; it's a practical example that helps solidify the concepts."

FAQs

Some programming experience is recommended. Check the course description for specific prerequisites.

This course has 3 hours of content. Complete it at your own pace.

Yes! Upon completion you'll receive a certificate you can share on LinkedIn and your resume.

Yes, all code examples and resources are available for offline access.

Yes — career guidance, resume reviews, and mock interviews are available through the platform.