The latest News and Information on DevOps, CI/CD, Automation and related technologies.
How many recipes do you have in your cookbook? This isn’t off topic, for today I’ll be exploring the ins and outs of Chef logging to help you maintain the state of your kitchen. (Last of the bad puns.) For those unfamiliar, Chef is a configuration management and platform automation tool that sits in the same space as Puppet (which we wrote about previously).
Moving your WordPress Site to Cycle is incredibly fast and easy. Let’s take a look at what we’ll need to follow along with this tutorial. If you don’t have that set up, take a moment now to do that so you can follow along. For assistance reach out to us directly on our public slack channel, or visit the Cycle documentation.
It’s here at last: StackStorm 3.0. This is a big release for us: Orquesta is GA, and Workflow Designer has a great new look & feel, massively improving usability. We’ve added Microsoft Teams support, Inquiries also goes GA, and more. Here’s all the details.
Connection tracking (“conntrack”) is a core feature of the Linux kernel’s networking stack. It allows the kernel to keep track of all logical network connections or flows, and thereby identify all of the packets which make up each flow so they can be handled consistently together.
Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we explore DevSecOps and why it’s vital for businesses to integrate security into their DevOps workflow.
It’s time to talk about the everyday challenges of serverless. Whenever I scroll through the latest blog posts on serverless it feels like there are only two types of problems in the field: how do I get started and how do I architect my solution. But what about all the day-to-day problems that developers and DevOps encounter when dealing with serverless? From simple deployment issues like protecting your stack from deletion to stress-testing your solution using serverless techniques.
As industries shift to a microservices approach of deploying applications using containers, data scientists can reap the benefits. Data Scientists use specific frameworks and operating systems that can often conflict with the requirements of a production system. This has led to many clashes between IT and R&D departments. IT is not going to change the OS to meet the needs of a model that needs a specific framework that won’t run on RHEL 7.2.
