Reading Files from Google Cloud Storage using Python

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It is very common to develop Python applications on Google Cloud Platform that read various files as blobs, which are then used for some further processing. To be able to achieve this ensure you have created a service account and you have downloaded the private key credential file as a JSON.  This is used to authenticate all requests sent to GCP resources such as Cloud Storage by the Python application. Continue reading “Reading Files from Google Cloud Storage using Python”

Using Google Cloud Kubernetes Engine for faster CI/CD operations

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The race for faster CI/CD operations has been the central focus for most software companies that provide devops solutions. Google Cloud Platform currently sits at the top of the list when it comes to seamless continuous integration and delivery.

I am going to talk about how we can deploy a simple Pub/Sub Python application in Google Cloud Kubernetes Engine. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. Now Google has built a solution thats sits on top Kubernetes and it has revolutionized the use of containers for enterprise applications that require a clustered distributed architecture, to ensure that services are highly scalable and robust during future upgrades and rollouts and even during application failures using various self-healing mechanisms. Continue reading “Using Google Cloud Kubernetes Engine for faster CI/CD operations”