Operations | Monitoring | ITSM | DevOps | Cloud

Packages in Cloudsmith repository are so much more than just “bits on disk”, and treating them as such is really doing them a disservice!

The difference between "Cloud Native" and "Cloud Hosted" products lies in their architecture, design philosophy, and how they leverage cloud infrastructure. Let’s break down the key distinctions.

Since the 2011 Scottish Digital Strategy, Scotland's political and economic commitment to the technology industry has been consistent and substantial. The 2020 Scottish Technology Ecosystem Review and the subsequent TechScaler startup programme are great examples of this dedication at work today. Edinburgh's vital role in these plans has been equally long-standing.

Learn how the Kubernetes Metrics Server helps monitor resource usage like CPU and memory, ensuring smooth cluster performance and scalability.

Slowly but surely, HTTP/2 has become the preferred protocol for transferring data files between clients and servers. In contrast, HTTP/1, which once stood as the sole method for loading web applications, is now falling short, particularly in terms of user experience. Since 2015, HTTP/2 APIs have taken the lead with lightning-fast server responses.

Hotwire and Turbo have revolutionized how we build modern web applications with Ruby on Rails. By leveraging server-side rendering and minimizing JavaScript, Hotwire enables developers to create reactive, real-time user experiences without the complexity of a single-page application framework. This comprehensive guide will walk you through implementing Hotwire and Turbo in a Rails application from the ground up.

When selecting a cloud migration partner, it’s essential to evaluate their capabilities, experience, and alignment with your business needs. Here’s a guide on what to look for.

Feature stores are rapidly growing in popularity as organizations look to improve their machine learning productivity and operations (MLOps). With the advancements in MLOps, feature stores are becoming an essential component of the machine learning infrastructure, helping organizations to improve the performance and ability to explain their models, and accelerate the integration of new models into the production.