Curated articles, resources, tips and trends from the DevOps World.
Modern software and system architectures encourage the decoupling of different layers/services in an application’s design. These services and/or layers can be web service APIs, database systems, cache proxy servers, serverless functions, etc.
Development is a important task. But mindful secure development is much more important. In this quick blog post, I detail an unusual way in which I was able to escalate access to several production instances behind a properly secured network.
JFrog sponsored The New Stack’s Coverage of SwampUP 2021. DevOps platform provider JFrog introduced what it calls the industry’s first Private Distribution Network to enable enterprises to set up and manage their own secure, scalable hybrid distribution network for software updates.
Explore practical unit testing for web clients in Go, enhancing code quality and streamlining DevOps workflows with effective strategies.
This is the third and final part of the ML PaaS series where we explore IBM Cloud Pak for Data and Oracle Machine Learning. We follow the same framework of classifying the features and services of these platforms into the five stages of machine learning.
This is a story inspired by true events, about a team and the everyday struggles they faced while building an API defined by spreadsheets and documents. What can come to the rescue in such a scenario? API specifications.
In this guide I use CDK with typescript to deploy an EC2 instance that is ready to go with an application, domain joining as well as custom configuration.
DevOps is a name that combines the realms of development and operations, although it isn’t meant to replace other teams. Dev is considered primarily to mean everyone on the code side, from Developers to Front-End Designers to Testers.
At Puppet, we continue to lead enterprises through constant change in the enterprise automation space. Our market impact in the past year and our opportunity to grow in a total addressable market of $45.2B is empowering and extremely motivating.
The release of Confluent for Kubernetes puts Confluent APIs into Kubernetes API for data-streaming with Apache Kafka, enabling customers to manage all Confluent Platform components across multicloud and on-premise environments.
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