Introducing OpenShift 4.15 from Red Hat
Here in this blog, we will learn about introduction OpenShift 4.15 from Red Hat.
Red Hat OpenShift 4.15’s salient features are highlighted in this blog. The Red Hat OpenShift 4.15 Release Notes contain a detailed list of all the new features and updates included in Red Hat OpenShift 4.15.
For edge applications, use AWS Wavelength or OpenShift on AWS Outposts.
We are happy to announce Red Hat OpenShift 4.15’s General Availability for AWS Outposts and AWS Wavelength Zones. Now, cluster administrators can compute low-latency applications on AWS-managed infrastructure on-premises for a consistent hybrid experience by installing Red Hat OpenShift clusters on AWS with remote workers in AWS Outposts.
With AWS Wavelength, compute and storage services are integrated into the data centers of communications service providers at the edge of the 5G network, specifically designed for mobile edge computing applications. Application traffic from 5G devices does not need to exit the 5G network when application servers are located in an AWS Wavelength Zone. This eliminates latency, which usually arises from application traffic making multiple hops across the internet to get where it is going. With this most recent release, cluster administrators can now use existing VPCs with compute nodes in AWS Wavelength Zones and existing subnets to deploy Red Hat OpenShift in AWS with compute nodes in AWS Wavelength Zones using installer-provisioned infrastructure or user-provisioned infrastructure. Administrators can also add more compute nodes to Red Hat OpenShift deployments that are already up and running, and these nodes can be automatically scaled into AWS Wavelength Zones. For additional information, see Setting up a cluster on AWS Wavelength Zones with worker nodes.
Red Hat OpenShift virtualization can help you update your infrastructure.
Customers can update their virtualized infrastructure with Red Hat OpenShift Virtualization. Red Hat OpenShift Virtualization is used by clients and partners like Lockheed-Martin, Turk Telecom, Dell, AWS, sahibinden.com, and many more to deliver virtual machines in addition to cloud-native apps while promoting management uniformity throughout all apps for operational effectiveness.
Red Hat technology distinguishes itself from the competition by being able to run virtualized workloads and container workloads in an efficient and well-integrated manner, according to Gökhan Ergül, CTO of sahibinden.com. We can platform virtual machines in addition to containerized applications on an application platform driven by Kubernetes thanks to Red Hat OpenShift Virtualization. We can also manage current infrastructure investments and refactor our virtualized applications into containerized microservices. Now that we have DevOps and automation workflows in place, along with open-source agility and tools, we can keep providing our company with competitive services. For additional information, see sahibinden.com, which provides dependable retail services more quickly with Red Hat OpenShift.
Red Hat OpenShift Virtualization offers more resilience and disaster recovery features in this most recent version. We are pleased to announce that customers can now use the Metro-DR solution for Red Hat OpenShift Data Foundation to safeguard workloads managed by ACM virtual machines, now available in general availability. In order to dynamically reconfigure the network interface cards used for the operating virtual machines, we have also added network hot plugging. Not to mention, we’ve simplified the process of creating virtual machines based on instance types by reducing the number of steps.
Red Hat OpenShift and an outside source support OVN IPsec
Many clients must encrypt all data while it’s in transit in order to abide by different industry rules. This has made it difficult for Red Hat OpenShift to access storage from appliances, like an iSCSI and NFS storage appliance. To that end, we have improved the intracluster IPsec capability of OVN Kubernetes to support encrypting traffic between Red Hat OpenShift and an external provider that has IPsec configured.
Infrastructure, kernel subsystem, and ingress dashboards improve network monitoring
We’ve added metrics to the core networking observability dashboard collection with Red Hat OpenShift 4.15 that weren’t previously picked up by the eBPF agent of the Network Observability Operator, which generates the NetFlow data shown in the dashboards today. Three new observability dashboards covering Kubernetes ingress traffic, the Linux kernel subsystem, and network infrastructure present new metrics. Examples from the networking infrastructure dashboard include worker resources for OVN-Kubernetes clusters, TCP latency probes, networking configuration, and control plane resources. Network utilization, network saturation, and network errors are among the metrics displayed on the Linux subsystem dashboard. Sharding is one of many topics covered in the Ingress dashboard. Customers may now view MetalLB metrics between MetalLB and Border Gateway Protocol (BGP) peers if they are using OpenShift on bare metal deployments. Explore the new network dashboards and install the Network Observability Operator that comes with the most recent release.
Admin Network Policy to enhance cluster network traffic security (Technology Preview)
Higher levels of application security should be able to be enforced by cluster administrators across the entire cluster. To help improve the security of their cluster network traffic flow, Red Hat OpenShift 4.14 introduced the Admin Network Policy feature as a Technology Preview. To improve the security of your intra-cluster network traffic, we specifically added the ability to use the AdminNetworkPolicies (ANP) and BaselineAdminNetworkPolicy (BANP) policy layers. Technology Preview still includes the Admin Network Policy feature.
Technology Preview: Hosted control planes that support virtual hosts through the agent provider
Red Hat OpenShift 4.15 now offers hosted control planes for virtual hosts with the agent provider as a Technology Preview. Red Hat OpenShift has a feature called “hosted control planes” that lets you create control planes as pods on a hosting cluster without having to buy separate physical or virtual machines for each control plane. Customers can concentrate on their applications as a result of the three-fold reduction in infrastructure costs, the optimization of cluster deployment time, and the separation of workload and management concerns. The multicluster engine for Kubernetes operator version 2.5 enables hosted control planes for virtual hosts with the agent provider.
Combined monitoring using OpenTelemetry’s Red Hat version
Based on the open-source OpenTelemetry project, Red Hat’s version of OpenTelemetry provides vendor-neutral, unified, and standardized telemetry data collection for cloud-native environments. This is an essential part of Red Hat OpenShift’s observability, which is crucial for boosting the infrastructure’s and applications’ enhanced security, dependability, and performance. The OpenTelemetry Red Hat build facilitates the deployment and management of the OpenTelemetry Collector while streamlining the workload instrumentation. The OpenTelemetry Collector is the perfect part for telemetry processing and interoperability between telemetry systems because it can receive, process, and forward telemetry data in a variety of formats. A single, integrated solution for gathering and handling logs, traces, and metrics is offered by the Collector. For more information, see the Release Notes for the OpenTelemetry Red Hat build.
Improved power monitoring for sustainable cloud-native architecture (Technology Preview)
Efficient resource management in Kubernetes environments requires optimizing power consumption. We are promoting power monitoring for Red Hat OpenShift to Technology Preview in OpenShift 4.15. Kepler, the Kubernetes-based Efficient Power Level Exporter, is the foundation for power monitoring. Red Hat OpenShift’s power monitoring tool estimates power consumption by workload and exports the results as metrics. It does this by utilizing tried-and-true cloud-native techniques and technologies like CPU performance counters, machine learning models, and extended Berkeley Packet Filter (eBPF). Cluster administrators can then use these metrics for scheduling, scaling, reporting, and visualization, giving them knowledge about the carbon footprint of their workload that is cloud native.
Use Red Hat Device Edge to deliver apps to the edge.
Red Hat Device Edge with MicroShift is an edge computing and small form factor device-focused Kubernetes distribution built on the OpenShift Container Platform. We’re thrilled to introduce Red Hat Device Edge’s two newest features:
- Operators with Red Hat Device Edge: Installing and managing operators on MicroShift can now be done by customers and partners using Operator Lifecycle Management (OLM). This facilitates the simplification of common tasks like edge messaging/event systems and databases. Users create their own operator catalogs that are carefully curated and contain only the necessary operators, thereby reducing the overall resource consumption of OLM. By integrating the necessary container images into the operating system image, everything functions in offline and air-gapped scenarios.
- Red Hat Device Edge enables customers to run machine vision workloads on Arm-based platforms, such as NVIDIA Jetson Orin, including model inferencing. Red Hat Enterprise Linux 9.3, which is now supported as the base operating system for MicroShift, includes the necessary hardware enablement.
