Introduction

In this post I’ll give a quick overview of several methods you can use for profiling/debugging Go applications that are running in a docker container. To get a more in-depth overview of the several methods, I’ve added the source links you can reference at the end of the post. I really advise you to read the sources listed, and read up on how to use and interpret the created profiles in order to debug/optimize your application. This post aims to help you to create those profiles when using a Docker container to run your Go applications. …

In the following post I’ll explain how you can profile a running Python program in a Docker container using py-spy. py-spy is able to generate flame graphs, and it can give us profiling capabilities in order to debug our Python programs. Now, when your Python code is running in a Docker container it can be a bit more difficult to profile your code, and this post sets out to show you how this can be done with these tools.

Before we can profile the Python application, we need to set up the tools, and example files, that we will be…

NOTE: This post has been updated and you can view its updated version here

In this post I’ll give a quick overview of several methods you can use for profiling/debugging Go applications that are running in a docker container. To get a more in-depth overview of the several methods, I’ve added the source links you can reference.

general sources

• Defer Panic — understanding golang memory usage
• golang.org — profiling go programs
• Jimmy-Xu — pprof in docker daemon

pprof

When you want to use pprof to profile your Go applications, that are running in a container, we need to make sure we turn on…

In this post I will set out on how to set up a Django project that can be used as a REST API microservice. To see the end result, you can investigate the code here. An important disclaimer: the code presented here is to be used in a development environment, review security practices for the framework(s) when you want to use it in production or expose it to the internet.

1. Project structure

We will be using the following stack:

| Name           | Version    |
|----------------|------------|
| Docker…