IAM (Identity and Access Management) is a pillar of Google Cloud. It authenticates and authorizes accounts (user account or service account) to access to resources.
By Suddhasatwa Bhaumik．Nov 1, 2022 Introduction In the first post of this series of posts, available here, we have seen the basics of BigQuery and how
By Suddhasatwa Bhaumik．Oct 30, 2022 Motivation Hello Readers! What follows is a series of Blog posts about BigQuery (and related products in GCP, including BigLake,
By Vishal Bulbule．Jan 4, 2023 Introduction Google Cloud provides a variety of storage services based on types of data for different kind of requirements. This
Google Cloud Storage (GCS) is a cloud based blob storage technology. It exposes an API that allows applications to store and retrieve data.
In this article we will focus on some points which we need to remember before renaming VM.
This blog provides the solution for migrating your AWS RDS to GCP cloud SQL using GCP Data Migration Service.
Google Firestore is a document-oriented database that has some neat features for building modern apps as part of the Firebase offering.
In this article, we evaluate how data can enrich a landing zone and set you up for a modern, scalable, future proof and user centric solution.
When building a microservices architecture, one of the most important questions to answer is how the different services will communicate.
Google is a large company with a large number of applications that you can reach by APIs. To leverage and duplicate the power of each of these products, you can plug them together and create something bigger! However, it’s not so simple: each product is well documented but the authentication part to connect them is blurry, out of date or missing.
On Google Cloud, creating several projects, one per customer, each with the same app deployed is a common pattern, especially when you have project-dependent resources, such as App Engine or Firestore/Datastore.
Service account credential are automatically loaded on Google Cloud environment (I explain how later). However, you can also generate a service account key file to use this credential anywhere. And it’s an ugly practice especially to keep the secret…secret!
The solution is to perform the computation in BigQuery and to export the result to Cloud SQL for low latency.
Serverless comparison between different regions for Cloud Run, Cloud Functions and BigQuery is a first dimension to perform choices. But cloud developers also need to choose and to use languages to implement their application…
The cloud cost is one of the most scary aspect: you pay for what you use! To prevent any overcost, one of best practices is to estimate roughly the cost of a project and to set a budget alert on it.
