Curated articles, resources, tips and trends from the DevOps World.
Do you think summer is reserved for flying to warm places and hanging out at the beach? Sure! But it’s also a great time to learn new skills that you haven’t had time for.
Microservices communicate significantly over the network. As the number of services grows in your architecture, the risks due to an unreliable network grows too. Handling the service to service communication within a microservices architecture is challenging.
Edge computing architecture is a modernized version of data center and cloud architectures with the enhanced efficiency of having applications and data closer to sources, according to Andrew Froehlich, president of West Gate Networks.
According to the 2018 In-Cloud Mining Analysis Report released by the Alibaba Cloud security team, each round of popular 0-day attacks was accompanied by the outbreak of cryptocurrency mining worms. Cryptocurrency mining worms may interrupt businesses by occupying system resources.
Many developers have asked the same question: what is continuous deployment? We provide an answer. There are 3 common methods for managing software development and deployment: Continuous Integration Continuous Delivery, and then there’s Continuous Deployment.
This is a multi-piece article where I want to share with you one possible approach to create a fully automated deployment pipeline for microservices in the cloud. By the end, you will find all the documents, code, and scripts that you need to recreate this workflow by yourself.
This is a detailed implementation of the original theatrical article, that I’ve posted “Automated development workflow for Microservices”. I am going to take you to step by step to build this pipeline on your own cloud environment. The flow we are implementing is:
Text classification is the process of assigning a set of predefined categories or tags to open-ended text. It is an important and fundamental part of Natural Language Processing with large applications like emotion analysis, sentiment analysis, labeling, etc.
When DevOpsGroup landed at DevOps Enterprise Summit London 2019, one thing became crystal clear: DevOps helps organisations in all industries tackle digital disruption, but the journey is challenging and there’s no one-size-fits all approach.
In this article, we focus on learning why creating proper archetypes is important for a successful microservices architecture. This is the fifth article in a series of six articles on best practices with cloud and microservices. You can read the first four parts here:
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