Red Hat's Latest in redhat.com
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Red Hat Official ☛ Announcing the Red Hat build of Apache Camel 4 for smoother enterprise integration [Ed: Nowadays very little coverage of "Red Hat" anything other than in redhat.com and sites that Red Hat buys puff piece space from. IBM lives in a fantasy land if it thinks it can treat the community badly and still get people to sing redhat.com's tune. Many volunteers left Fedora and not many bloggers mention it.]
Modern enterprise integration comes with its fair share of challenges. From diverse data sources to complex workflows, businesses need a robust enterprise integration solution that can effectively enable connecting applications to new and legacy systems via various standard and inhouse protocols, policies and formats under high performance demands and resource constraints.
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Red Hat Official ☛ From Observability to Action with Event-Driven Ansible and Partners
Discover how Event-Driven Ansible will provide you with the event-handling capabilities needed to automate time-consuming tasks, respond to changing conditions in any IT domain and reduce Mean Time to Resolution (MTTR). Our partners, including IBM, BigPanda, CrowdStrike, and Palo Alto Networks, have created Ansible Content Collections that are designed to kickstart your Event-Driven Ansible automation journey.
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Red Hat ☛ Scraping Prometheus metrics from Red Bait build of Keycloak
Observability is a crucial aspect of efficiently maintaining complex environments. It provides the capability to understand the internal state of the system by scraping runtime data. The collected data gives better view of the system at runtime and can be used to configure alerts and identify trends and insights about the element being monitored.
Prometheus is a widely used monitoring tool that scrapes data from configured targets using a pull-based approach. Prometheus expects the metric to be exposed in specific data exposition format. There are also projects like OpenMetrics, which aims to convert the Prometheus exposition format into a standard to help transmit metrics at scale.
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Red Hat ☛ Implement MLOps with Kubeflow Pipelines
MLOps, short for machine learning operations, is a set of practices and tools that combines DevOps principles applied to the development cycle of artificial intelligence applications.
Kubeflow Pipelines is an open source platform for implementing MLOps, providing a framework for building, deploying, and managing machine learning workflows in a scalable, repeatable, secure, and cloud-oriented manner on Kubernetes.
With the ability to drive agility and efficiency in the development and deployment of machine learning models, MLOps with Kubeflow Pipelines can also improve collaboration between data scientists and machine learning engineers, ensuring consistency and reliability throughout every step of the workflow.
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Red Hat ☛ Network observability with eBPF on single node OpenShift
The Network Observability Operator is GA (generally available) in Red Hat OpenShift 4.12. You can install it to get metrics about cluster networking, including a network topology graph of all namespaces on that cluster. You can view and monitor the network traffic data in different graphical representations. The Network Observability Operator uses eBPF technology to create the network flows.
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Red Hat Official ☛ Enabling Peer Pods on IBM Z and LinuxONE with Red Hat OpenShift sandboxed containers
Peer Pods have expanded the capabilities of OpenShift, allowing for the use of Kata Containers on cloud-based clusters without the need for nested virtualization. This is particularly significant as it opens up opportunities to deploy sandboxed containers in environments where nested virtual machines (VMs) are either impractical or undesirable. By leveraging the cloud-api-adaptor and its libvirt provider, Peer Pods manage Kata Containers directly, avoiding the complexities of nested VMs. This innovation enhances the flexibility and adaptability of OpenShift sandboxed containers across various cloud platforms.
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Red Hat Official ☛ End-to-end declarative provisioning of bare metal Red Hat OpenShift clusters
Yet, not all of the provisioning steps are covered in an automated fashion. For example, BareMetalHost (BMH) inventory always requires manual intervention as well as bootstrapping GitOps and the Day 2 configuration may also require separate manual actions.
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Red Hat Official ☛ What’s next on the horizon for telecommunications service providers? A look at 2024 with Red Hat.
What’s top of mind for service providers? What should the whole telecommunications industry be prepared for? How will Red Hat help? What will the broad ecosystem need to do to make visions a reality? While it’s impossible to provide a complete answer to all of these questions – the telecommunications industry is vibrant and ever changing – there are numerous compelling projects underway that I think are worth exploring.