Blog

24 Feb 20242 min read

Flannel + Calico -> Canal - what's your ultimate k8s networking?

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 do so in different ways and offer different features: Calico: * Nature: Calico is a comprehensive networking and network security solution for containers, virtual machines, and bare-metal workloads. It supports a w

18 Dec 20232 min read

How to Setup a VNC Server (GUI) on Ubuntu

13 Dec 20234 min read

Running Kubeflow with GPU Support on Tesla GPUs

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 Kubeflow with GPU support is an excellent option. In this blog, we'll walk through setting up Kubeflow to utilize Tesla GPUs for your machine learn

27 Oct 20232 min read

GitOps vs DevOps: What is the Future of DevOps?

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 future hold for these methodologies? Let's dive in. What is DevOps? DevOps, a portmanteau of Development and Operations, signifies a cultural shift that emphasizes collabor

24 Oct 20233 min read

The Power Duo: Kubeflow and MLflow - Benefits, Differences, and Use Cases

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 benefits of both Kubeflow and MLflow, their key differences, and various use cases to better understand their roles in the ML landscape. Kubeflow: A Deep Dive into its Benefits Kubeflow, bor

23 Oct 20232 min read

DevOps Engineer (Kubernetes Specialist)

Location: EU (preferably: London/Oslo) or Remote Company Overview: Aceso Analytics is a leading tech company committed to offer healthcare/IoT, Critical Infrastructure amangement and Cloud Solutions. As part of our growth, we are looking for a seasoned DevOps Engineer with a focus on Kubernetes to join our dynamic team. Role Overview: As a Kubernetes Specialist, you will be instrumental in enhancing, deploying, and scaling our containerized applications and services. Your deep understandin

20 Sept 20233 min read

NHS Virtual Wards: Embracing Tech for Elderly Care with IoT, Sound Analytics, and More

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 this transformation is the synergy of the Internet of Things (IoT), sound analytics, and data interpretation. Virtual Wards: Beyond Hospital Walls Virtual wards ha

30 Aug 20232 min read

Is Kubernetes the answer to Cloud Infrastructure Vendor Lock-in ?

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 Kubernetes addresses vendor lock-in, ensuring businesses remain agile in a multi-cloud world. Understanding Vendor Lock-in Before we del

06 Jul 20235 min read

Streamlit: Beyond Data Science Dashboards

Streamlit is an open-source Python framework for creating web apps for machine learning and data science. Without having to learn any front-end technologies or frameworks, it enables you to create apps in the same manner that Python scripts are created. Streamlit apps are responsive, interactive, and simple to share and use. Streamlit can be used to develop practical tools that go beyond data exploration and visualisation, although it is frequently used to build data science dashboards and appl