Compute and Storage are often spoken about in the same breath. You can’t compute something without data. There is data processing happening at every point of the application stack and sometimes you need a place to store them.
The intent of this blog post is to cover the different service models available on the cloud. Essentially there are three but with innovation there are different models that have come up which we will discuss in this blog.
Where do I compute ?, the main idea and question that we have in mind is where do I run my application. There are choices which GCP gives and the way to choose between them is essentially what we’ll explore in this blog.
Here is my attempt to summarise and disambiguate terms often used in technical discussions around arranging network ingress traffic into [single] Kubernetes clusters running in Google Cloud (GKE) or on-premise (Anthos on Bare Metal, Anthos on VMware).
In this article we will deep dive on how we can easily and efficiently manage the GCP resources using the REST APIs exposed by Google Cloud . We will look at how REST APIs in GCP provide a generic framework for automation and programatic management.
The goal of this blog series is to break down cloud computing into simplified components so that at the end of the day anyone can understand the depth upto which cloud can go and how you can use it to your advantage towards transforming your life and that of your company.
In this blog, I’m going to help you deploy a sample Flask application on GCP with the integration of different Google Cloud Services like GCE, Cloud SQL, load balancing, and Cloud NAT.
Creating GKE cluster seems to be an easy task. One cluster can be created in a few simple clicks in the UI console, or one terraform- or gcloud- command.
This blog gives an high level overview of terraform-google-cloud-workflows module. In this blog we will showcase some use cases where this module can be used. Apart from this we will show some examples of using the module.
In this 2-part Blog, we shall look at how we implemented CICD for Directed Acyclic Graphs (DAGs) on Google Cloud Composer using Google Cloud Build as our CICD platform.
If you’re an organisation who wants to focus more on their application logic rather than managing end-to-end infrastructure or if you’re a beginner in the cloud but want to host your application like a website in the cloud with minimal effort, I think PAAS is one of the best offering models in the cloud you can utilize.
Kubernetes technology has come a long way in enterprise adoption. With the huge growth of microservices, enterprises are looking at a clean way of deploying their microservice applications in Kubernetes eco-system.
It focuses on a developer-centric experience when operating infrastructure, by using tools developers are already familiar with, including Git and Continuous Deployment tools.
Securing your Google Cloud Platform (GCP) environment is essential to ensure the safety and integrity of your data and resources.
Security is paramount for any type of services and environments. Solutions exist to host, manage and serve secrets securely and at scale. On Google Cloud, Secret Manager is the native service dedicated to secret management.
In the recent Google Cloud Next Event in Bangalore, GCP is emphasizing Generation 2 of Cloud Function. You must be thinking why are we discussing Generation 2 even when Cloud Run is available?
