CI CD Pipeline

What’s the difference between GitOps and CI/CD?

GitOps is focused on infrastructure and is related to DevOps. You can practice GitOps and not practice DevOps. You can do DevOps and not do GitOps. HOWEVER, they are very similar and complement each other. Specifically, it is an operational framework that combines DevOps best practices for application development (version control, collaboration, CI/CD tooling, etc) and applies […]

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.