Google Cloud Logging provides several plugins that allows you to easily emit structured logs for common applications.

Goal is more to convey that the design of your backend services is incredibly consequential, and no design choice is a silver bullet. It doesn't matter whether we are talking about microservices vs. monoliths, SQL vs. NoSQL, or Python vs. Node. It is unlikely that any technology will be strictly superior for all use cases.

As with other cloud platforms, Google Cloud has a range of different services to help build and host web applications. At first glance the subtle differences between these services might not be apparent until you start using them, so I’ve put together this guide to give an overview of each service and to help you decide which is right for your use case.

In this blogpost, we’ll give an introduction to the .NET Functions Framework and show you how to easily deploy a secure function on Google Cloud.

Many teams are excited to start using Kubernetes. Some are interested in the resilience, elasticity, portability, reliability and other advantages Kubernetes offers natively. Some are technology enthusiasts and just want an opportunity to work with this platform, to get to know more about it. Some developers want to acquire experience with it, so they can add another highly demanded skill to their resumé. In general, most developers these days want to work with Kubernetes at some point. That may

But S3, the most popular solution for storing on the cloud and the one everyone loves, should not always be your choice. In this article, In this It will be explained why.

The Cloud Native Trail Map is CNCF's recommended path through the cloud native landscape.

Exploring Elasticsearch with Docker Exploring PostgreSQL with Docker Exploring Redis with Docker Run Azure Functions in a Docker Container Serverless CI Builds with Cake and Azure Container Instances

this, this article features REAL links to this russian hacker's files and everything I was able to trace back to him.

A bad timeout and retry policy can break a distributed systems architecture, but is relatively easy to fix. Don't use the same default timeout settings across your distributed system.