We’re excited to announce that the KUDO ( Kubernetes Universal Declarative Operator) project is now officially accepted as a CNCF Sandbox project. This was the culmination of two years of hard work from the team and is a fantastic step forward for the project.
E-commerce is skyrocketing, there is no doubt whatsoever. With unstoppable annual growth and close to 2,000 million users worldwide, e-commerce has already been able to surpass traditional commerce in some product categories and takes an important place in most of them. But what is the future of e-commerce? Since its inception, back in the 90s, taking advantage of the Internet getting widely known, e-commerce has not stopped growing to become even more and more popular.
In our recent “IT Ops Demystified – Event Chaos or Enrichment?” webinar our field CTOs discuss how enrichment can help reduce operational costs by an order of magnitude. Here is a quick overview of all the goodness that you’ll be watching.
Site Reliability Engineering (SRE) is a practice for managing the reliability of systems that began at Google in the early 2000s. Ben Treynor Sloss from Google started the first SRE team and coined the name.
Test automation helps increase development speed while reducing cost and effort. In this article, we will share how to automate testing to help keep a test automation initiative on the right track with key tips for test execution, design and maintenance for large enterprise applications.
Robotics@Canonical puts a strong focus on the migration from ROS to ROS 2. ROS 2 benefits from many improvements, especially robot security. Our goal is to make it easy for you to transition to ROS 2, whether you’re completely new to ROS or a seasoned engineer retooling for a new environment. Your new platform should be secure-by-default, and we expect you’ll need to pivot between different environments as you migrate from ROS to ROS 2.
Artificial intelligence refers to the machine's ability to learn and think. Given that it sort of mimics how humans think and reason, AI's application is virtually endless. AI reduces human error, do a task that is risky for humans to do, help humans solve complex, and so much more. With the emergence of artificial intelligence, concerns about data privacy have been brought into the light. Artificial intelligence relies on our personal information to learn.
There’s nothing worse than turning on your computer to start the work day and discovering the internet is down. We all know the frustration of tediously trying to figure out what’s wrong before finally breaking down and calling our service provider and waiting on hold, only to discover that it’s a known issue and it’s being addressed. What if there was a better way?
