With the fuse-overlayfs storage driver, you can enable faster builds and more optimized storage usage for podman build and buildah within your Red Hat OpenShift Dev Spaces cloud development environment (CDE). Before diving into its advantages, let’s first discuss some prerequisite details about container image layers and storage drivers. Container images consist of layers which are stored and used for building and running containers. A huge benefit of this layer structure is that, assuming that each image layer stores only the differences compared to the previous layer (i.e., the delta), each ..read more

In the previous article on C# 12, you learned about collection expressions and primary constructors. In this article, we’ll take a look at some advanced features that part of the latest C# version: inline arrays, optional params and params in lambda expressions, ref readonly parameters, aliasing any type, and the UnsafeAccessorAttribute. Inline arrays A regular C# array is a reference type that lives on the heap. Like other reference types, the garbage collector (GC) keeps track whether the array is still referenced, and it frees up memory when the array is no longer in use. To avoid the GC ov ..read more

Welcome to the first chapter of this blog series where we delve into the world of computer vision at the edge. Throughout this and the following installments, we will explore the process of setting up all the infrastructure to develop and train AI/ML models and deploy them at the edge to perform real-time inference. This series will cover the following topics: How to install single node OpenShift on AWS How to install single node OpenShift on bare metal Red Hat OpenShift AI set up Model training in Red Hat OpenShift AI Custom dataset preparation with Label Studio Safari application deployment ..read more

With the Red Hat OpenShift 4.15 release, the shared resource CSI Driver operator feature (in Tech Preview) allows for sharing secrets across namespaces. This addresses a common developer request, enabling the creation of secrets in one place and seamless sharing across projects. This is particularly handy for efficiently managing frequently accessed services like Messaging layer, Databases, and Registries. In this article, we'll dive into the technical aspects of leveraging this feature, optimizing your OpenShift workflow for enhanced secret management. We will walk through a simple Sprin ..read more

Red Hat OpenShift AI combines the scalability and flexibility of containerization with the capabilities of machine learning and data analytics. With Red Hat OpenShift AI, data scientists and developers can efficiently collaborate, deploy, and manage their models and applications in a secure and streamlined environment. Snorkel is an open source Python library for programmatically building training datasets without manual labeling. It was created in 2017 to support reproducibility of early research papers on programmatic labeling and weak supervision.   In this tutorial, you will lear ..read more

Traditionally, APIs are tethered to specific internet locations, typically tied to a fixed URL on a server or set of servers. Enterprises are increasingly moving away from that and developing their APIs in different languages and deploying them across diverse environments. The increase in demand for multi cloud deployments and distributed systems have made the concept of "locationless" resources increasingly significant. Locationless APIs are abstracted from specific physical locations, enabling interaction regardless of the underlying service's location. However, it is a complex challenge of ..read more

This is the first article in a two-part series that looks at the new features of C# 12. C# 12 is supported by the .NET 8 SDK, which was released in November 2023. The features described in this article are usable in everyday programs. In the second article, we’ll cover advanced features for specific use cases. Collection expressions Collection expressions are a new syntax to initialize a collection type. The syntax consists of square brackets ([, ]) that surround the collection items as shown in the following examples: // Initialize a variable int[] arrayOfInt = [1, 2, 3]; // Initialize an a ..read more

At Red Hat Summit 2023, we addressed the market demand for tools and services that help secure the software supply chain by announcing two projects that will change the way developers and ops develop and deploy their applications to Red Hat OpenShift. These projects are the Red Hat Trusted Application Pipeline and Red Hat Developer Hub. Meanwhile, with the help of customer feedback, these projects have matured into Red Hat products that are available for self-managed deployments and are part of a product family that addresses the software supply chain from end to end—Red Hat Trusted Software S ..read more

Tagging is a common feature offered today as part of system and platform management tools. Its goal is to provide a consistent way to organize, search and filter managed entities, thus improving reporting and overall operations management efficiency. A common challenge when dealing with different tools and platforms is the lack of tagging governance. Tags assignment and values can quickly run out of control unless best practices and rules are instored and honored in an organization. Often, organizations choose to define their taxonomy in a central configuration management database (CMDB) and u ..read more

This article is aimed at users who would like to integrate or monitor their Red Hat OpenShift cluster using the Datadog monitoring solution. We will use the Datadog Operator to instantiate our agent and collect all metrics, cluster and container/pod logs, network, CPU, and memory consumption. Prerequisites User with the cluster-admin cluster role OpenShift 4.12 or above Datadog account Procedure 1. Create the Datadog API key: To add a new Datadog API key, navigate to Organization Settings > API Keys. If you have the permission to create API keys, click New Key in the top r ..read more