Blog
Current Trusted Execution Environment landscape
If you run software on someone’s servers, you have a problem. You can’t be sure your data and code aren’t being observed, or worse, tampered with -- trust is your only assurance. But there is hope, in the form of Trusted Execution Environments (TEEs) and a new open...
Scaling workload storage requirements across clusters
A number of multi-cloud orchestrators have promised to simplify deploying hundreds or thousands of high-availability services. But this comes with massive infrastructure requirements. How could we possibly manage the storage needs of a thousand stateful...
Prometheus anomaly detection
With an increase in the number of applications being deployed on Red Hat OpenShift, there is a strong need for application monitoring. A number of these applications are monitored via Prometheus metrics, resulting in an accumulation of a large number of time-series...
Sentiment analysis with machine learning
When developing a new technology, it really helps if you are also a user of that new tech. This has been an approach of Red Hat around artificial intelligence and machine learning -- develop openly on one hand, exchanging knowledge across the organization to use the...
Red Hat and NVIDIA bring scalable, efficient edge computing to smart cities
Teams from Red Hat and NVIDIA have collaborated on creating a scalable hybrid cloud application that could revolutionize smart city initiatives such as traffic-flow monitoring and transportation management around the world. By working together, the two companies are...
Passing Go: polyglot Kubernetes Operators
Operators within Kubernetes are useful tools, designed to extend the container orchestration platform with additional resources. More directly, an Operator, sometimes referred to as custom controllers, is a method of packaging, deploying, and managing a Kubernetes...
Diagnosing apps with AI
A well-known tactic for figuring out how to identify the root cause of a problem that has caused an outage in a production environment is to go back and see what the environment has been doing so far. Through the analysis of logs, developers and operators alike can...
Managing chaos in a containerized environment
Quick, name some weird stuff that’s happened to your production machines. Accidentally dropping a production database table? Rolling out a patch that enabled any user to log in with any password? Disabling a load balancer? Using a dictionary to physically keep...
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...