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Data mesh vs data fabric: Understanding key differences and benefits
One thing I love about working in tech is that the landscape is constantly changing. Like the weeping angels in Dr Who – every time you turn back and look – the tech landscape has moved slightly. Unlike the weeping angels, however – this progress is for the betterment of all. (And slightly less murderous).…
Best practices for developing AI solutions with a self-service platform
Enterprises are feeling increasing pressure to integrate Artificial Intelligence (AI) into their operations. This urgency is pushing leadership teams to adjust their investment strategies to keep up. Recent advancements in Generative AI (GenAI) are further increasing this pressure, as these technologies promise to enhance productivity and efficiency across the organization. For example, Gartner™ expects GenAI…
Unlocking the true potential of CI/CD pipelines for improved productivity
Measuring developer productivity has always been a challenge in the software industry. Traditional metrics like committed code or merged pull requests provide some insight but often fail to capture the true impact of developers’ work. Consider this scenario: a developer merges just one pull request in a week, consisting of only one line of code,…
5 common pains without a platform engineering solution
Embracing platform engineering is becoming increasingly critical in today’s digital landscape, where efficiency and automation are key drivers of success. However, many organizations still rely on traditional or manual approaches to software development, deployment, and operations, leading to a host of challenges that can impede progress and innovation. Without a platform engineering solution, teams often…
