Tutorials Archives - Page 6 of 12

3 min

How-To: Deploy Python Flask applications using NGINX and uWSGI – Installation (Part 1 of 3)

Completed your Python Flask application? In this series we will be deploying the application on a Ubuntu 22.04 machine. Which you can provision from different Cloud Service Providers like Google…

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3 min

If You Are Using ‘kubectl’, You Are Probably Doing It Wrong

Like many people, I managed my first cluster using the kubernetes cli (aka kubectl). I deployed a handful of ‘objects’ such as deployments, secrets, configmaps, and services by directly applying…

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5 min

How To Secure APIs Against Fraud And Abuse With reCAPTCHA Enterprise And Apigee X

A comprehensive API security strategy requires protection from fraud and abuse. To better protect our publicly-facing APIs from malicious software that engages in abusive activities, we can deploy CAPTCHAs to…

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5 min

Engineering

Streamline Your Models To Production With The Vertex AI Model Registry

Machine learning (ML) is iterative in nature — model improvement is a necessity to drive the best business outcomes. Yet, with the proliferation of model artifacts, it can be difficult…

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1 min

How-To: Install Azure CLI On Ubuntu 22.04

This guide shows how to install the Azure CLI on Ubuntu 22.04. Azure CLI can help you manage Azure resources using your command-line interface (CLI). Installation and Login 01. Run…

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10 min

Building A Machine Learning Platform With Kubeflow And Ray On Google Kubernetes Engine

Increasingly more enterprises adopt Machine Learning (ML) capabilities to enhance their services, products, and operations. As their ML capabilities mature, they build centralized ML Platforms to serve many teams and…

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7 min

Benchmarking Your Dataflow Jobs For Performance, Cost And Capacity Planning

Calling all Dataflow developers, operators and users…So you developed your Dataflow job, and you’re now wondering how exactly will it perform in the wild, in particular: How many workers does…

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6 min

Enabling Real-Time AI With Streaming Ingestion In Vertex AI

Many machine learning (ML) use cases, like fraud detection, ad targeting, and recommendation engines, require near real-time predictions. The performance of these predictions is heavily dependent on access to the…

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4 min

Engineering

Reduce Operational Complexity And Costs With A Central Load Balancer

We’re excited to announce the General Availability of cross-project service referencing with Internal HTTP(S) Load Balancing and Regional External HTTP(S) Load Balancing. This new capability allows organizations to configure one…

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Tutorials

How-To: Deploy Python Flask applications using NGINX and uWSGI – Installation (Part 1 of 3)

Streamline Your Models To Production With The Vertex AI Model Registry

How-To: Install Azure CLI On Ubuntu 22.04

Building A Machine Learning Platform With Kubeflow And Ray On Google Kubernetes Engine

Benchmarking Your Dataflow Jobs For Performance, Cost And Capacity Planning

Enabling Real-Time AI With Streaming Ingestion In Vertex AI

Reduce Operational Complexity And Costs With A Central Load Balancer

Just make it scale: An Aurora DSQL story

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