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Articles from stack8s on sovereign AI, hybrid cloud architecture, and practical GPU economics.

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

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05 Jul 20233 min read

What is Kubeflow and How Can It Be Used to Create Data Pipelines and serve MLOps challanges?

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 is and how it can be used for creating data pipelines and enabling Machine Learning Operations (MLOps). What is Kubeflow? Kubeflow is a machine learning toolkit for Kubernetes. The project is dedicated to ma

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16 Jun 20232 min read

Top 5 Open Source Serverless Projects for Kubernetes

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 blog post will delve into the top 5 open-source serverless projects deployable on Kubernetes. 1. Knative Knative is a platform based

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13 Jun 20233 min read

Sound Analytics on the Edge on Microcontrollers using TinyML

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 analytics, where the power of machine learning algorithms can be harnessed to extract valuable insights from audio data. This is made possible through the emergi

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30 May 20233 min read

Cloud Provisioning

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 provisioning in the cloud operating model and how it empowers organizations to optimize resource allocation, improve agility, and drive cost savings. The Traditional Pro

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23 May 20233 min read

Top Open Source Databases for Timeseries Analytics

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 looking for open source cloud-native databases for timeseries analytics, here are the top five options to consider: 1. In

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14 May 20233 min read

What is MLOps and our selection of tools you can deploy in stack8s.ai

Machine Learning Operations (MLOps) is a set of practices and tools that enable organizations to manage and deploy machine learning models at scale. It brings together the best practices from DevOps, Data Engineering, and Machine Learning to create a streamlined process for building, deploying, and maintaining machine learning models. MLOps ensures that models are deployed reliably and efficiently, with the ability to monitor and manage performance in real-time. With the increasing demand for M

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11 May 20232 min read

What is CI/CD and intro to Drone.io

Continuous Integration and Continuous Delivery (CI/CD) is a set of practices that help development teams deliver code changes more efficiently and reliably. With CI/CD, teams can automate the building, testing, and deployment of software applications. This reduces the risk of errors and makes it easier to iterate and improve upon code. Drone is a popular CI/CD tool that makes it easy to automate the software development process. It integrates with a variety of version control systems, including

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10 May 20235 min read

Considerations when choosing between Serverless Functions and APIs for Applications

In recent years, serverless architecture has gained significant popularity, and it's not difficult to see why. Serverless functions offer an efficient and cost-effective way of running code without having to manage servers, making it an attractive option for many businesses. However, when it comes to choosing between serverless functions and APIs, it can be challenging to understand which is best suited to your needs. In this article, we will explore the differences between serverless functions

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