Kubernetes

Optimizing the use of limited AI training acceleratorsPhoto by Roman Derrick Okello on UnsplashIn the ever-evolving landscape of AI development, nothing rings truer than the old saying (attributed to Heraclitus), “the only constant in life is change”. In the case of AI, it seems that change is indeed constant, but the pace of change is forever increasing. Staying relevant in these unique and exciting times amounts to an unprecedented test of the capacity of AI teams to consistently adapt and adjust their development…

If you are a site reliability engineer (SRE) for a large Kubernetes-powered application, optimizing resources and performance is a daunting job. Some spikes, like a busy shopping day, are things you can broadly schedule, but, if done right, would require painstakingly understanding the behavior of hundreds of microservices and their interdependence that has to be re-evaluated with each new release — not a very scalable approach, let alone the monotony and resulting stress to the SRE. Moreover, there will always be…

In the ever-evolving landscape of Kubernetes (K8s), the introduction of AI-driven technologies continues to reshape the way we manage and optimize containerized applications. K8sGPT, a cutting-edge platform powered by artificial intelligence, takes center stage in this transformation. This article explores the key features, benefits, and potential applications of K8sGPT in the realm of Kubernetes orchestration. What Is K8sGPT? K8sGPT is an open-source, developer-friendly, innovative, AI-powered tool designed to enhance…

Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized the way we approach problem-solving and data analysis. These technologies are powering a wide range of applications, from recommendation systems and autonomous vehicles to healthcare diagnostics and fraud detection. However, deploying and managing ML models in production environments can be a daunting task. This is where containerization comes into play, offering an efficient solution for packaging and deploying ML models. In this article, we'll…

Google Cloud has swiftly responded to a medium-severity security flaw in its platform that could pose a risk to Kubernetes clusters. The vulnerability, discovered and reported by Palo Alto Networks Unit 42, has the potential to be exploited by an attacker who already has access to a Kubernetes cluster, specifically targeting the Fluent Bit logging container. This flaw, if abused, could allow the attacker to escalate their privileges within the cluster, leading to potential threats such as data theft, deploying malicious…

In today's fast-paced technological landscape, deploying AI/ML applications efficiently and effectively is paramount. Kubernetes, a powerful open-source platform, has emerged as a leading solution for managing and scaling containerized applications, ensuring they run seamlessly across various environments. In this comprehensive guide, we will walk you through the step-by-step process of deploying any AI/ML application on Kubernetes. From containerizing your application to setting up your Kubernetes cluster to deploying…

In the rapidly evolving landscape of technology, the role of cloud computing is more significant than ever. This revolutionary paradigm continues to reshape the way businesses operate, fostering an environment ripe for unprecedented innovation. In this in-depth exploration, we take a journey into the future of cloud computing, discussing emerging trends such as autonomous and distributed cloud, generative AI tools, multi-cloud strategies, and Kubernetes – the cloud’s operating system. We will also delve into the…

Welcome to the sixth blog post in our “Kubeflow Fundamentals” series specifically designed for folks brand new to the Kubelfow project. The aim of the series is to walk you through a detailed introduction of Kubeflow, a deep-dive into the various components, add-ons, and how they all come together to deliver a complete MLOps platform. If you missed the previous installments in the “Kubeflow Fundamentals” series, you can find them here: In this post, we’ll focus on getting a little more familiar with Jupyter notebooks and…

A wise man once said “We used the cloud for our digital transformation. Why not use it for a sustainability transformation as well?” (Adrian Cockcroft, VP Amazon Sustainability Architecture 2021).  All major cloud providers have undertaken significant efforts to improve the sustainability of the cloud but the ultimate responsibility for sustainable use in the cloud is on us as a tech community. Theoretically, Kubernetes allows for highly precise resource utilization and minimal cloud waste. But in reality, there are many…

Kubernetes is a service used for deploying cloud-native applications. As cloud applications are associated with our IoT devices and products, that is where we get the requirement of building IoT applications with Kubernetes. IoT analytics is moving from the cloud to the edge because of security, latency, autonomy, and cost. However, distributing and managing loads to several hundred nodes at the edge can be a complex task. So, a requirement that arises to distribute and manage the loads on edge devices is to use a…