Technology Blog, covering the following topics:
+ Cloud-Native Computing
+ Automation
+ Machine Learning
+ AI on the rise
AI - A transformative force shaping our future.
by Michael Wolff | January 2024
In 2024, we embrace the Year of the Dragon. If you believe the mythos, it will bring evolution, improvement, and abundance. We also can forsee that the impact of artificial intelligence (AI) will be significant this year. This combination promisses a fantastic year ahead.
In the ever-evolving landscape of technology, Artificial Intelligence (AI) stands as a beacon of innovation, revolutionizing the way we live, work, and interact with the world around us. As we step into the year 2024, the role and importance of AI have grown exponentially. Read more
+ Generative AI
Generative AI - A subset of artificial intelligence that resembles humans in creating content.
by Michael Wolff | February 2024
Generative AI involves training models designed to produce outputs that resemble and often expand upon the data they were trained on. These models, often based on neural networks and deep learning architectures, learn the underlying patterns and structures of the input data and then generate new data that exhibits similar characteristics. Read more
+ The impact of AI on CI/CD
The integration of Artificial Intelligence (AI) promises to reshape and optimize the CI/CD process.
by Michael Wolff | February 2024
The integration of Artificial Intelligence (AI) is offering developers unprecedented efficiency, reliability, and innovation.
In 2024, AI-powered tools and algorithms have become integral components of CI/CD pipelines, revolutionizing the way code is built, tested, and deployed. Read more
+ Machine Learning in CI/CD
Machine learning (ML) is emerging as a key player in enhancement and automation.
by Michael Wolff | February 2024
In the fast-paced realm of software development, Continuous Integration and Continuous Deployment (CI/CD) have become indispensable practices for delivering high-quality software at scale. As technology evolves, machine learning (ML) is emerging as a key player in enhancing and automating various aspects of the CI/CD pipeline. Machine learning can take on different roles in CI/CD, for example in automated testing or in optimizing deployment strategies. Machine learning excels in recognizing patterns and anomalies, making it a natural fit for automated testing and quality assurance in CI/CD. ML algorithms can analyze historical testing data, identify patterns of successful builds, and predict potential issues before they occur. This proactive approach significantly reduces the risk of deploying faulty code, ensuring a more robust and reliable software release. Read more
+ Dive deeper
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