Curated articles, resources, tips and trends from the DevOps World.
To learn about the current and future state of machine learning (ML) in software development, we gathered insights from IT professionals from 16 solution providers. We asked, "What do developers need to keep in mind when using machine learning in the SDLC?" Here's what we learned:
At Tigerspike, We Solve Problems in Remarkable Ways. One of our goals, as a global digital products company, is to bring the best user experience and that includes bringing the best experience to our engineers.
With the significant rise of cryptocurrencies and the increasing glamor associated with it, the demand for a service where users can buy or sell cryptocurrency from any trading exchange, without having an account is extremely high.
Where the world meets DevOps
How is our Feature progressing? As simple and common as this question is, it’s a hard one to answer. Especially if your Feature is complex and is composed of multiple User Stories and Tasks. With Sprint 157 Update you will be able to answer this using Rollup in Azure Boards backlog view.
I reviewed the basic setup for building applications in Kubernetes in part 1 of this blog series, and discussed processes as pods and controllers in part 2. In this post, I’ll explain how to configure networking services in Kubernetes to allow pods to communicate reliably with each other.
This is the first in a series of guest blog posts by Docker Captain Ajeet Raina diving in to how to run Kubernetes on Docker Enterprise. You can follow Ajeet on Twitter @ajeetsraina and read his blog at http://www.collabnix.com.
I reviewed the basic setup for building applications in Kubernetes in part 1 of this blog series. In this post, I’ll explain how to use pods and controllers to create scalable processes for managing your applications.
There could be something rattling in your Ruby containers.Introduction DevOps has been one of those things over the years that I've come to learn more about and implement more and more as time goes on, especially with my TDD leanings.
This is part of a series of posts on building Deliverybot, a deployment tool for simple deployment automation on GitHub. A year or so ago I came across this interesting feature in GitHub called the deployments api.
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