Python
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 …
How To Connect To Cloud SQL Using Python … The Easy Way!
Connecting to Cloud SQL using Python is not always straightforward. Depending on the context, sometimes you have to connect to a Unix domain socket, sometimes you have to allow-list IP addresses for TCP connections, or sometimes you have to run the Cloud SQL Auth proxy locally. Making these connections secure is yet another challenge: you …
7 Sudo Myths Debunked
The most common misconceptions I’ve come across involve security, flexibility, and central management. Here, I debunk these sudo myths. Whether attending conferences or reading blogs, I often hear several misconceptions about sudo. Most of these misconceptions focus on security, flexibility, and central management. In this article, I will debunk some of these myths. Many misconceptions …
Simplify Model Serving With Custom Prediction Routines On Vertex AI
The data received at serving time is rarely in the format your model expects. Numerical columns need to be normalized, features created, image bytes decoded, input values validated. Transforming the data can be as important as the prediction itself. That’s why we’re excited to announce custom prediction routines on Vertex AI, which simplify the process …
Building A Scalable MLOps System With Vertex AI AutoML And Pipeline
When you build a Machine Learning (ML) product, consider at least two MLOps scenarios. First, the model is replaceable, as breakthrough algorithms are introduced in academia or industry. Second, the model itself has to evolve with the data in the changing world. We can handle both scenarios with the services provided by Vertex AI. For …
Analyze Pacemaker Events Using Open Source Log Parser – Part 4
This blog is the fourth in a series and it follows the blog Analyze Pacemaker events in Cloud Logging, which describes how you can install and configure Google Cloud Ops Agent to stream Pacemaker logs of all your high availability clusters to Cloud Logging. You can analyze Pacemaker events happening to any of your clusters …
How To Migrate A Group Of Individual Instances To A Stateful MIG Using Python Script
A GCP Compute Engine managed instance group (MIG) supports any VM configuration that you need, and it helps manage the VMs for you. For example, when a VM in a MIG unexpectedly stops running, the MIG recreates that VM according to the configuration that you set. You can also set up an application-based health check …
Building A Mobility Dashboard With Cloud Run And Firestore
Visualization is the key to understanding massive amounts of data. Today we have BigQuery and Looker to analyze petabytes scale data and to extract insights in a sophisticated way. But how about monitoring data that actively changes every second? In this post, we will walk through how to build a real-time dashboard with Cloud Run …
Our I/O 2022 Announcements: In Demo Form
In the Cloud PA Keynote at I/O Aparna Sinha walked through the backend for an application that connects volunteers with volunteer opportunities in their area. In this blog post we’ll walk through each component of that application in a bit more detail, explaining the new products that Google Cloud has released, the pros and cons …
Automate Checking For Flaws In Python With Thoth
Project Thoth pulls together many open source tools to automate program builds with security checks as part of the resolution process. Most cyberattacks take advantage of publicly known vulnerabilities. Many programmers can automate builds using Continuous Integration/Continuous Deployment (CI/CD) or DevOps techniques. But how can we automate the checks for security flaws that turn up …