Blog
How Open Data Hub learners become the teachers
The prospect of true machine learning is a tangible goal for data scientists and researchers. It has been long known that the platform on which such ML apps can run have to be fast and hyper efficient so that learning can be that much faster. This is the motivation...
Trust No One, Run Everywhere–Introducing Enarx
When you run a workload as a VM, container or in a serverless environment, that workload is vulnerable to interference by any person or software with hypervisor, root or kernel access. Enarx, a new open source project, aims to make it simple to deploy...
Machine Learning with Open Source Infrastructure
As machine learning becomes more interesting to technology companies, it is hardly surprising that a company like Red Hat is going to approach the challenges of this aspect of artificial intelligence with an open source methodology in mind. The immediate benefits to...
Exploring Unsupervised Deep Learning
The concept of artificial intelligence, which seemed so much like science fiction a few decades ago, has made real, practical inroads in producing results that organizations can find useful. What’s making those results happen, though, isn’t esoteric pie-in-the-sky...
Understanding and Applying Storage Federation Patterns Using KubeFed
As a cloud user, how do you avoid the pull of data gravity of one provider or another? How can you get the flexibility and tooling to migrate your infrastructure and applications as your needs change? How do you get to the future of storage federation as data agility?...
Keylime: Using TPM to Secure Your Slice of the Cloud
As people move workloads to shared and public cloud environments, what methods are available to attest their environment has not been tampered with? Is there a good way to use a standardized cryptographic module to do remote attestation, trusted system boot, and so...
Building a Scalable TensorFlow Twitter Bot for Red Hat Summit
Red Hat’s AI Center of Excellence and PerceptiLabs wanted a way to demonstrate a TensorFlow model to the public during the 2019 Red Hat Summit. The plan was for this model to take images as input, and then respond with the likelihood of a Red Hat fedora being in that...
Rook Changes the Kubernetes Storage Landscape
It’s no secret that if you want to run containerized applications in a distributed way, then Kubernetes is the platform for you. Kubernetes’ role as an orchestration platform for containers has taken center stage to become a main player for automating deployment,...
Consumption is Fractal: Open Source Sustainability
One of the more obscure terms one might hear bandied about in the free and open source software ecosystem is the so-called “bus factor.” The somewhat-informal term refers to the state of a given project based on its sustainability. Specifically, bus factor is...
Anomaly Detection on OpenStack Logs Using Machine Learning
(There’s a great new conference in the U.S., DevConf.US, returning in 2019 to Boston University (15 to 17 Aug). This highly-technical conference is interested in drawing a diverse group of speakers and attendees, with a specific emphasis on people who are new to...