Recently, Amazon accidentally exposed information on Amazon Prime Video viewing habits to the public. In addition, Thomson Reuters news and media company admitted that their servers had compromised 3TB of data by public-facing ElasticSearch databases. Well, these are the type of news we often see on the front page of cybersecurity forums. But if you dig a bit deeper, you will find that these data leaks are caused by misconfiguration, not cyber attacks.

Adopting cloud technologies is one of the most common tech strategies followed by modern organizations. This may be due to various reasons depending on the nature of the business. But there are a few standard components that span across most domains, not least the fact that cloud vendors allow developers to easily create and take down resources on the cloud with minimal effort.

AWS (Amazon Web Services) allows businesses to quickly and securely build and scale applications. Hence, there is exponential growth in AWS usage among businesses and organizations. For example, As of 2020, AWS held 76% of enterprise cloud usage, reflecting the power and importance AWS holds. This increased use of AWS tools and services opens new doors for cyber attackers. However, AWS is a very reliable cloud service provider that works hard to ensure protection over its infrastructure.

The Don’t Repeat Yourself (DRY) Principle is one of Python’s most used software development principles. It aims to reduce the repetition of software patterns and algorithms by using package libraries and boilerplate templates to improve product release efficiency.

In October 2022, data center construction reached a record high, reflecting our reliance on collecting, storing, and securing data. This reliance permeates businesses across all industries and puts pressure on data centers storing and processing large amounts of data–much of which is sensitive.