Adding a simple FastAPI Python app as part of an App of Apps setup in ArgoCD involves several steps. Here’s a step-by-step guide to achieve this: 1. Create Your FastAPI Application * Ensure your FastAPI app is structured with a Dockerfile for containerization and a Kubernetes manifest for deployment. Directory

Continuous Delivery: The Path to Modern Software Engineering - Insights from Dave Farley In a recent talk, Dave Farley, a prominent figure in the software development industry, shared his extensive experience and insights on continuous delivery (CD) and its significance in modern software engineering. Farley, known for his influential book

Mr. Erik Rivera shared insights on RAG, combining retrieval-based and generation-based methods for accurate AI responses through a hands-on demo.

Talk by Prof. Yara Cecilia Almanza (Directora Asociada del Posgrado de Nanotecnología, Tecnológico de Monterrey) As engineers, we often face complex problem-solving, innovation, and implementation of solutions that require challenging environments. In this talk, Prof. Yara Cecilia Almanza Arjona highlighted the critical role of resilience in engineering. Resilience is not

Introduction VMware's recent price hikes have left many enterprises in a bind. If your organization is feeling the pinch, it's time to look into scalable alternatives that offer enterprise-level virtualization without the high costs. Here's a detailed guide to hypervisor alternatives and how Stack8s

In the context of Kubernetes, the terms "Canal," "Flannel," and "Calico" refer to different networking solutions that are used to manage networking for pods and services within a Kubernetes cluster. Each of these provides a way to implement the Kubernetes networking model, but they

ndAs artificial intelligence and machine learning continue to evolve, the demand for more powerful computing resources grows. NVIDIA's Tesla GPUs have become a popular choice for their powerful computational capabilities, particularly in deep learning tasks. For organizations looking to leverage these GPUs in their machine learning workflows, running

The technology world is brimming with terminologies that often overlap, making it confusing for beginners and even professionals to differentiate. Two such terms that have garnered much attention lately are DevOps and GitOps. But are they so different, or do they share some similarities? And most importantly, what does the

When diving into the world of machine learning (ML) operations (MLOps), two names frequently come to the forefront: Kubeflow and MLflow. Both tools provide platforms to streamline ML processes, but each has its own set of strengths, differences, and best-use scenarios. In this blog post, we'll explore the

The National Health Service (NHS), an emblem of British pride, has been grappling with numerous challenges, ranging from funding constraints to surging demand for its services. Among the groups most affected are the elderly. However, the landscape of care is evolving, with innovations like virtual wards offering respite. Central to

Cloud computing has revolutionized the way businesses operate, offering flexibility, scalability, and cost-effectiveness. However, as companies dive deeper into the cloud, they often face a looming challenge: vendor lock-in. Kubernetes, a powerful container orchestration platform, has emerged as a game-changer in this arena. In this post, we will explore how

Kubeflow is an open-source project developed by Google to help organizations run machine learning (ML) workflows on Kubernetes. It's an end-to-end platform that aims to make deploying and managing ML models easier and more efficient. In this post, we'll take a deep dive into what Kubeflow

Serverless computing has rapidly gained traction in the landscape of cloud computing. Despite its name, serverless doesn't mean servers are absent, but rather that the infrastructure management tasks are abstracted away from the developers. Kubernetes, recognized widely for orchestrating containers, offers an excellent environment for serverless computing. This

In recent years, the field of machine learning has witnessed a remarkable advancement in the domain of edge computing. Edge computing refers to the practice of processing and analyzing data closer to the source, typically on small, resource-constrained devices such as microcontrollers. One exciting application of edge computing is sound

As organizations increasingly embrace cloud computing, unlocking the full potential of the cloud operating model becomes crucial. Provisioning, the process of allocating and configuring resources in the cloud, plays a vital role in achieving efficient and scalable operations. In this blog post, we'll explore the key aspects of

Timeseries data, with its unique characteristics and requirements, demands specialized databases that can efficiently handle high volumes of timestamped data and perform complex analytics. In recent years, the cloud-native approach has gained significant popularity, enabling organizations to leverage the scalability, flexibility, and agility of cloud environments. If you're