Tag

cloud

Changing Data Classification through Processing

This is an excerpt from a draft of chapter 10 of my book, Azure Data Engineering, which deals with compliance. In this article we’ll look at a few techniques to transform sensitive user data into less sensitive data. In the book, this includes code samples for implementation on Azure Data Explorer, which are omitted from this article. Let’s start with a couple of definitions.

How to Run Docker Containers More Securely

Co-author of Docker in Action, Second Edition. and the designer of scalable software systems Stephen Kuenzli explains what are Docker containers and showcases how to run them securely.

How Does OAuth 2 Work?

From Spring Security in Action by Laurentiu Spilca In this article, we discuss the components which act in an OAuth 2 authentication implementation. You need to know these components and the role they play in order to properly implement them…. Continue Reading →

Learning from Incidents

From Operations Anti-Patterns, DevOps Solutions by Jeffery D. Smith

Cloud native development with Spring and Kubernetes

From Cloud Native Spring in Action by Thomas Vitale

Getting Up to Speed with Kubernetes — fast!

From Kubernetes Quickly by William Denniss

Fear of Deployments

From Operations Anti-Patterns, DevOps Solutions by Jeffery Smith

This article covers

Longer release cycles and their impact to the team’s deployment confidence
Automation techniques for deployments
The value of code deployment artifacts
Feature flags for releasing incomplete code

The Layers of a Cloud Data Platform

From Designing Cloud Data Platforms by Danil Zburivsky and Lynda Partner

In this article, we’ll layer some of the critical and more advanced functionality needed for most data platforms today. Without this added layer of sophistication your data platform would work but it wouldn’t scale easily, nor would it meet the growing data velocity challenges. It would also be limited in terms of the types of data consumers (people and systems who consume the data from the platform) it supports, as they’re also growing in both numbers and variety.

Introducing Edge Computing

From Making Sense of Edge Computing by Cody Bumgardner

Conceptually, edge computing is concerned with when it’s best to migrate computational functionally toward source of data and when it is best to move the data itself. This abstract concept of function versus data migration drives not only the fundamental motivations of edge computing, but also the broader field of distributed systems. The act of distributing processes makes even the simplest tasks more complicated.

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