Curated articles, resources, tips and trends from the DevOps World.
Recently, a demo was given on how to deploy a Nacos service on K8s. In this article, we’ll provide more context on the demo. Hopefully, it will be helpful when you are trying it out. Nacos is an open source project offered by Alibaba.
Many organizations use a combination of open so Many organizations use a combination of open source and commercial tools and Azure DevOps (formerly called VSTS) and an application lifecycle management (ALM) tool that includes features such as Azure pipelines.
I have been working on building API's on AWS Cloud for a few years now. More often than one can guess, there is a need to update the configuration of an app that is already deployed.
Every container you run in Kubernetes is going to be generating log data. No one has time to go through and regularly check individual container logs for issues, and so in production environments, it is often required to export these logs to an aggregator for automated analysis.
I’m a big fan of AWS, but I wish there was a bit more “glue” within the AWS system itself, and between AWS and services like Slack and GitHub.
As I was collecting insights for our upcoming DevSecOps Trend Report to be published in July, I came across the submission by Javed Shah, Director of Product Management for Cloud and DevOps at ForgeRock.
Wait, what? That’s right. It wasn’t a typo. After enabling AWS Config across five of our AWS accounts, we decided to remove all but two of our Config rules. But why?
As a Lead DevOps in a multinational insurance company, one of my responsibility is to help developers build better applications by providing CICD (Jenkins), monitoring (Prometheus), access to AWS Services, a stable platform (RedHat OpenShift), … It also became evident that teaching all those tech
- Horizontal Pod Auto scale This describes in detail how everything works. On a flow as well as API level- Free Azure Account If you want to try out AKS, Azure Kubernetes Service, you will need a free Azure account- Kubernetes.
The automated machine learning capability in Azure Machine Learning service allows data scientists, analysts, and developers to build machine learning models with high scalability, efficiency, and productivity all while sustaining model quality.
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