Tutorial Archives - aster.cloud

6 min

How To Use Bash

Ever been daunted by writing Bash scripts or using the terminal? Many developers prefer to use the graphical user interface (GUI) to navigate their files and applications on their computers. With Bash, developers on macOS and Linux operating systems (OS) can do lots of computer processes right from the terminal without ever having to use their mouse or the keyboard for interaction. In this lesson, you’ll learn how to write simple Bash scripts and how you can 10X your productivity efficiently. What is Bash? Bash, also known as Bourne Again Shell, is an interactive shell or command line interpreter popular…

3 min

Technology

Switch From ICloud To Nextcloud

Image by: Opensource.com Nextcloud is your very own open source cloud. Here’s how to make the switch. If you’re wary of committing your data to cloud services controlled by a corporation but love the convenience of remote storage and easy web-based access, you’re not alone. The cloud is popular because of what it can do. But the cloud doesn’t have to be closed. Luckily, the open source Nextcloud project provides a personal and private cloud application suite. It’s easy to install and import data—including contacts, calendars, and photos. The real trick is getting your data from cloud providers like iCloud. In this article,…

8 min

Engineering

Low-Latency Fraud Detection With Cloud Bigtable

Each time someone makes a purchase with a credit card, financial companies want to determine if that was a legitimate transaction or if it is using a stolen credit card, abusing a promotion or hacking into a user’s account. Every year, billions of dollars are lost due to credit card fraud, so there are serious financial consequences. Companies dealing with these transactions need to balance predicting fraud accurately and predicting fraud quickly. In this blog post, you will learn how to build a low-latency, real-time fraud detection system that scales seamlessly by using Bigtable for user attributes, transaction history and…

3 min

How To Create A Linux VM Instance In Compute Engine

There is a new way to supercharge your learning of Google Cloud! Next time you are interested in learning Google Cloud skills or features, check out embedded interactive tutorials. Interactive tutorials are step by step tutorials that help you learn about Google Cloud. They are embedded directly into the Google Cloud console, so there is no context switching. These tutorials integrate with Cloud Shell and Cloud Code to provide a preconfigured development environment to allow you to learn quickly.In this blog post we’ll walk through how to Create a Linux VM instance In Compute Engine interactive tutorial together. You can…

8 min

Engineering

Easy Telemetry Instrumentation On GKE With The OpenTelemetry Operator

Easy Telemetry Instrumentation on GKE with the OpenTelemetry Operator In recent years, the application monitoring landscape has exploded with instrumentation libraries, SDKs, and backends for storage and visualization. But a major friction point is still the investment required to instrument applications with these libraries, and libraries are often tied to a small set of telemetry backends. The OpenTelemetry project has tried to address these problems with its open standard for telemetry data, multi-lingual instrumentation libraries, and “auto-instrumentation” of applications without needing code changes. The community has also created a Kubernetes Operator to automate some of these solutions in containerized environments. …

4 min

Engineering

Easy Deployment Of MEAN Stack W/ MongoDB Atlas, Cloud Run, And Hashicorp Terraform

Easy Deployment of MEAN stack with MongoDB Atlas, Cloud Run, and Terraform Serverless computing promises the ability to spend less time on infrastructure and more time on developing your application. But historically, if you used serverless offerings from different vendors you didn’t see this benefit. Instead, you often spent a significant amount of time configuring the different products and ensuring they can communicate with each other. We want to make this easier for everyone. We’ve started by using HashiCorp Terraform to make it easier to provision resources to run the MEAN stack on Cloud Run with MongoDB Atlas as your…

8 min

Advanced Topic Modeling Tutorial: How to Use SVD & NMF in Python

In the context of Natural Language Processing (NLP), topic modeling is an unsupervised learning problem whose goal is to find abstract topics in a collection of documents. Topic Modeling answers the question: “Given a text corpus of many documents, can we find the abstract topics that the text is talking about?” In this tutorial, you’ll: Learn about two powerful matrix factorization techniques – Singular Value Decomposition (SVD) and Non-negative Matrix Factorization (NMF) Use them to find topics in a collection of documents By the end of this tutorial, you’ll be able to build your own topic models to find topics in any piece of text.📚📑 Let’s…

7 min

Engineering

Transform Satellite Imagery From Earth Engine Into Tabular Data In BigQuery

Geospatial data has many uses outside of traditional mapping, such as site selection and land intelligence. Accordingly, many businesses are finding ways to incorporate geospatial data into their data warehouses and analytics. Google Earth Engine and BigQuery are both tools on Google Cloud Platform that allow you to interpret, analyze, and visualize geospatial data. For example, you can combine crop classifications based on satellite data from Google Earth Engine with weather data in BigQuery to predict crop yield. Although there is crossover in the functionality of these two products, they are different and are designed for different use cases, as…

8 min

Engineering

Serverless MEAN Stack Applications With Cloud Run And MongoDB Atlas

Plea and the Pledge: Truly Serverless As modern application developers, we’re juggling many priorities: performance, flexibility, usability, security, reliability, and maintainability. On top of that, we’re handling dependencies, configuration, and deployment of multiple components in multiple environments and sometimes multiple repositories as well. And then we have to keep things secure and simple. Ah, the nightmare! This is the reason we love serverless computing. Serverless allows developers to focus on the thing they like to do the most—development—and leave the rest of the attributes, including infrastructure and maintenance, to the platform offerings. In this read, we’re going to see how…

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