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.


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.


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.


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.


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