How To Avoid Configuration Drift

In this blog post, we’ll be diving into the world of Configuration Drift and uncovering why it’s a silent killer of infrastructure. From unexpected behavior to security vulnerabilities, we’ll explore the dangers of Configuration Drift and give you practical tips for keeping your systems in check. Don’t let Configuration Drift catch you off guard, read on to learn more.

a man smashing a pc in the act of chaos engineering

Building Resilient Systems with Chaos Engineering

Chaos engineering is a powerful technique for building resilient systems. Learn what chaos engineering is, why it’s important, and how to get started with it in this comprehensive guide. Discover how to simulate unexpected system failures and test your system’s behavior and recovery plan to ensure your technology is prepared for the unexpected.

CI CD Pipeline

Continuous Delivery (CD) vs Continuous Integration (CI): Understanding the Differences

Continuous Integration (CI) and Continuous Delivery (CD) are two important practices in software development that aim to improve the speed and quality of software releases. CI focuses on improving the quality of the codebase, while CD focuses on reducing the time it takes to release new features and updates to customers. Together, these practices help software development teams achieve faster innovation and improved customer satisfaction.

AI Inside Devops lifecycle

What is AIOPS

AIOps, or Artificial Intelligence for IT Operations, is an emerging field that has the potential to revolutionise the way IT teams manage and operate their systems. By using machine learning algorithms and big data analytics to analyse data from various IT systems, AIOps can identify patterns and anomalies that might indicate a problem, allowing IT teams to proactively resolve issues before they become critical. Additionally, AIOps can improve incident management, capacity planning and security, resulting in improved performance, reliability and security of IT systems, and better business outcomes.

tribal knowledge does not support devops

The Hidden Barrier: How Tribal Knowledge Can Undermine Devops Culture

Tribal knowledge is the accumulated knowledge, skills, and experiences that exist within a group or organisation, but is not formally documented or shared. In a devops culture, where the emphasis is on collaboration, transparency, and continuous improvement, tribal knowledge can be a hindrance. It can lead to silos of information and a lack of standardisation, which can hinder the flow of work and make it more difficult for new team members to ramp up. It can also lead to a lack of accountability, as it can be difficult to track who has what knowledge and who is responsible for maintaining it. By eliminating tribal knowledge and fostering a culture of continuous learning and knowledge sharing, organisations can create a more collaborative and efficient team, and better position themselves for success in a devops culture.

A developer pushing code to production and being stopped by the pipeline quality gate to ensure the code quality is good

The Importance of Pipeline Quality Gates in Software Development and DevOps

In the world of software development and DevOps, ensuring that code being deployed to production is of high quality and is unlikely to cause issues or outages is critical. One way to achieve this is through the use of pipeline quality gates, which are checkpoints that code must pass through before it can be deployed. In this post, we explore the importance of pipeline quality gates and how to effectively implement them in the software development process.

A bold image highlighting the words "you build it, you run it"

You Build it, YOU Run it

You build it, you run it” is a key principle in the world of devops that promotes collaboration and helps the development team understand and control the production environment. By using the “you build it, you run it” approach, companies can achieve faster time to market, cost savings, improved efficiency, enhanced agility, and increased reliability. In this post, we will delve into the meaning of “you build it, you run it” and how it can impact collaboration.

python image - fp vs oop

Object-Oriented Programming vs Functional Programming: Which is Right for Your Project?

Object-oriented programming (OOP) and functional programming (FP) are two popular programming paradigms that are used to solve problems and create software. While they have some similarities, they differ in the way they approach problem-solving and the way they handle data and functions. In this blog, we will explore the key differences between OOP and FP and the pros and cons of using each paradigm for a particular problem. By the end of this blog, you should have a better understanding of the differences between OOP and FP and be able to make an informed decision about which paradigm is the best fit for your project.