Server: Containers, Quarkus, OpenShift, Kubernetes and More

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Unprivileged container builds using stacker
One of the primary goals of user namespaces was to provide the ability for unprivileged users to have their own range of uids over which they would have privilege, with minimal need for setuid programs and no risk (barring bugs in the OS) of their privilege having effect on uids which are not “their own”.
We’ve had user namespaces for awhile now. While there are some actions which cannot be done in a user namespace, such as mounting a loopback filesystem, there are many things, such as setting up a build environment with custom package installs, which used to be a challenge without privilege but are now simple.
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Red Hat eyes cloud-native Java future with Quarkus
Red Hat's latest initiative, Quarkus, aims to usher in a cloud-native Java future -- and shift the core of innovation in enterprise Java.
Numerous efforts over the years have attempted to make Java more cloud-native, such as Google's Dalvik virtual machine used in Android. None has demonstrated as much promise as Red Hat Quarkus, which is based on two Oracle-led projects, GraalVM and Substrate VM, to build cloud-native Java applications that are much faster and smaller, in a Linux container as part of a Kubernetes deployment.
GraalVM is a universal virtual machine that is used to run applications written in JavaScript, Python, Ruby, R, and Java Virtual Machine (JVM) based languages, including Java, Scala, Clojure, Kotlin, as well as low-level virtual machine-based languages, such as C and C++. Graal enables aggressive ahead-of time (AOT) compilation, so developers can compile their apps into native binary images and avoid the limitations of the JVM.
Substrate VM, a subsystem of Graal, focuses on AOT compilation to collect Java to a native binary image, said Mark Little, vice president of engineering and CTO of JBoss Middleware at Red Hat.
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OpenShift All-in-One (AIO) for Labs and Fun
A common request from customers is how to run the actual Red Hat OpenShift Container Platform (OCP) bits in a single node. This request often comes from customers that need to support training environments, dedicated single-user development environments or from technical architects wanting to validate concepts without deploying a full multi-node cluster. There are many options available for developers, from Minishift to CodeReady Workspaces. These are supported options which are a great solution for application developers that want to deploy to the platform. The use cases not addressed with these solutions are more platform and infrastructure related.
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7 pieces of contrarian Kubernetes advice
You can find many great resources for getting smarter about Kubernetes out there. (Ahem, we’ve written a few ourselves.)
That’s good news for IT teams and professionals looking to boost their knowledge and consider how Kubernetes might solve problems in their organization. The excited chatter about Kubernetes has gotten so loud, however, that it can become difficult to make sense of it all. Moreover, it can be challenging to sort the actual business and technical benefits from the sales pitches.
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SwiftStack Announces World’s First Multi-Cloud AI/ML Data Management Solution
“The SwiftStack solution accelerates data pipelines, eliminates storage silos, and enables multi-cloud workflows, thus delivering faster business outcomes,” said Jason Blum, CTO at GPL Technologies, an NVIDIA and SwiftStack elite partner. “SwiftStack provides us with the flexibility, technology leadership and breakthrough economics to build tailored solutions for our customers.” GPL Technologies has created multiple ways to implement the solution, with NVIDIA DGX-1 GPU server(s), NVIDIA GPU Cloud, and other leading system hardware.
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Tetrate Aims To Make Service Mesh Accessible And Enterprise Ready
After Kubernetes, open source projects such as Istio, Envoy and Linkerd get the maximum attention from the users and cloud native community. Google backs Istio while Envoy and Linkerd are a part of the Cloud Native Computing Foundation (CNCF). Since the current service mesh technologies are available only as stock open source projects, implementing and integrating them with the rest of the microservices infrastructure is complex.
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