KubeBlogs - DevOps and Cloud content (Page 14)

Sign in Subscribe

Pod disruption budgets preventing downtime during Kubernetes maintenance

Pod Disruption Budgets: Why They Matter and How to Use Them to Avoid Downtime

Kubernetes pods are the smallest units you can deploy on the Kubernetes platform. Each pod represents a single running process and operates from a node or worker machine within Kubernetes, which can be either virtual or physical. Sometimes, Kubernetes pods might get disrupted, either voluntarily or involuntarily. This is more

Pydantic data validation library for Python applications

Pydantic: Fast and Pythonic Data Validation for Your Python Applications

In any application, ensuring that the data you’re working with is valid and well-formed is a critical part of ensuring that the application runs smoothly and reliably. In Python, there are many libraries available for data validation, but one that stands out for its ease of use, performance,

Deep dive into iptables Linux firewall from zero to hero

A Deep Dive into Iptables: From Zero to Hero in One Blog Series

What is iptables? Iptables is a command-line utility for configuring the firewall rules of the kernel’s netfilter framework. It allows system administrators to filter and manipulate incoming, outgoing, and forwarded network packets based on various criteria such as IP addresses, ports, protocols, and packet states. Iptables explained to

Python garbage collection strategy compared to Java memory management

Simplifying Garbage Collection: Python’s Winning Strategy Against Java

Introduction The way Python handles garbage collection is miles apart from how Java does it. The approach taken by each of these languages impacts the performance and ease of use in multiple ways. In the world of programming, memory management is a critical aspect that can significantly impact the performance

Opinionated guide for writing professional Python scripts

An Opinionated Guide for Writing Awesome Python Scripts!

Introduction In the world of Python development, the proper setup can significantly boost productivity and ensure that you can write robust scripts. A collection of libraries knit together can make a huge difference in the quality of programs that you write. From command-line argument parsing to HTTP request handling

Defensive programming in Python input validation best practices

Defensive Programming in Python: Input Validation Best Practices (Part 2)

Introduction Python is not a strongly typed language — which means things can go wrong at runtime. Python provides you with a dynamic environment, where variables don’t need a declared type before use, flexibility comes hand-in-hand with the challenge of unexpected runtime errors. These errors often stem from

Defensive programming in Python golden rules for logging best practices

Defensive Programming in Python: Part 1: Golden Rules for Logging

Introduction Welcome to the first post in the series of Defensive Programming. In this series, I am going to cover how to write code in Python that helps you sleep well at night. Code that you can rely on to work in production and not fail you unexpectedly. Python is