How Calibo’s IDP helps you to deploy your own large language model (LLM)
As you may know, Calibo empowers developers to create UIs and APIs in just minutes, with seamless deployment to multiple platforms including EC2, Kubernetes, and OpenShift. In this blog post, we’ll walk you through the steps to create a React web app and a chatbot widget, along with an API that loads Meta’s Llama2 model.…
Calibo Team, September 4, 2024
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What’s the future of data mesh and data fabric? [7 predictions]
In this blog, we’re gazing into the crystal ball, speculatively as we explore the potential development of data mesh and data fabric. In the world of data architecture, data mesh and data fabric have made a big splash. They’ve been a constant topic of discussion in the big data world by technical and non-technical folk…
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).…
Implement Data Mesh within Calibo
In today’s data-driven world, traditional monolithic data architectures are struggling to keep up with the demands of modern businesses. They still serve their purpose and aren’t outdated. However, the steady progression towards cloud-based architectures offers significant improvements in volume, variety, velocity, and processing capacity. As a result, organizations in these environments are increasingly seeking more…
From raw data to actionable insights: an introduction to seamless integration
This blog is written to be accessible for both seasoned data professionals and non-technical folk looking for inspiration on how to turn their data into something more useful (the right way). But if you’re the latter, perhaps skip the intro—we’re nerding out a bit. Having worked in the data world for some time now, I’ve…
