Engineering Blog Archives

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Set up Google Managed Prometheus to scrape external targets in a shared VPC environment

In this guide, we will walk through the steps to set up Google Managed Prometheus to scrape external targets in a shared VPC environment using self-deployed data collection. We will deploy a Flask application on a Compute Engine instance, which will generate sample metrics. These metrics will then be deployed to GMP (Google Managed Prometheus), […]

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Implement Postgresql DB backup and recovery using the Google Cloud Backup and Disaster Recovery Service

Learn about the use case of leveraging Google Cloud Backup and Disaster Recovery service for backing up and recovering PostgreSQL Databases. You’ll get a high-level understanding of how to: set up the GCP Backup and DR service, use Google Cloud Backup and DR for PostgreSQL databases, and mount PostgreSQL backups to restore a database.

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Using Google’s BeyondCorp to secure on-premises web applications

Uncategorized / SADA Engineering

Google BeyondCorp Enterprise gives teams a few options to secure on-premises applications. In this article, we’ll take a deep dive into both options and provide use cases exploring why you would or would not choose either option.

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Onboard large data science teams to GCP from on-prem cloud

An enterprise client organization merged with a company with sizeable data science and engineering teams. The enterprise client used Google Cloud (GCP) while the latter company used an on-prem cloud. The enterprise client decided to remove the on-prem cloud and migrate all computing resources to GCP. Learn how the client overcame significant technical challenges due

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Sentiment analysis with generative AI: a data-driven PaLM 2 prompt evaluation

Google Cloud Platform / SADA Engineering

The new era of generative artificial intelligence (“GenAI”) – and specifically the advent of large language models (“LLMs”) – promises to rapidly broaden the population of developers who can implement sentiment analysis in their applications. But what guarantees do developers have that an LLM will answer correctly? How can developers take extra steps to prove

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