Red Hat OpenShift on IBM Z and IBM LinuxONE - Performance
Find information and tips about the performance of Red Hat® OpenShift® on IBM Z® and IBM® LinuxONE.
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- Red Hat OpenShift on IBM zSystems – Demystifying the steady state load
- Red Hat OpenShift on IBM zSystems – A Performance Tuning Case Study on the Example of MongoDB and ODF 4.10
- Unleashing the Network of Red Hat OpenShift Container Platform on z/VM and RHEL KVM for IBM Z & LinuxONE
- Red Hat OpenShift Container Platform on Z & LinuxONE - Capacity Planning: Five Checkmarks You Don't Want to Miss
- Red Hat OpenShift Container Platform on Z - Performance, Quality & Best Practices
- Red Hat OpenShift Container Platform on Z - CPU Consumption Demystified
- Red Hat OpenShift Container Platform on Z Networking Performance
- Red Hat OpenShift on IBM Z - Performance Experiences, Hints and Tips
Red Hat OpenShift on IBM zSystems – Demystifying the steady state load
The Red Hat OpenShift Container Platform is a highly automated cloud platform providing clients an enterprise class solution for developing and deploying their workloads considering high quality QoS requirements. Such high automation and automatic maintenance of the QoS attributes come with a certain processor capacity demand to keep the system and the workloads up and running.
This presentation explains how much steady state CPU demand can be expected, how different add-ons affect it, and what benefits customers receive in return.
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Red Hat
OpenShift on IBM
zSystems – Demystifying the steady state load
Creation date
June 2023
Red Hat OpenShift on IBM zSystems – A Performance Tuning Case Study on the Example of MongoDB and ODF 4.10
Modern cloud applications require flexible data solutions on scalable cloud platforms. MongoDB is emerging as one of the most popular NoSQL databases. The OpenShift Platform (OCP) for zSystems provides a powerful computation infrastructure with OpenShift Data Foundation (ODF) as a scalable storage solution. Combining MongoDB with OCP on zSystems satisfies the demands of modern cloud applications. Applying general tuning practices can further improve the performance and efficiency of MongoDB on zSystems.
This presentation evaluates the impact of such tuning decisions through a case study with OCP 4.10 and MongoDB 4.2.
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Red Hat
OpenShift on IBM
zSystems – A Performance Tuning Case Study on the Example of MongoDB and ODF 4.10
Creation date
November 2022
Unleashing the Network of Red Hat OpenShift Container Platform on z/VM and RHEL KVM for IBM Z & LinuxONE
Red Hat OpenShift Container Platform, as a highly automated hybrid cloud platform, supports both traditional and micro-service applications in the cloud. In such systems, the network is one of the critical resources, especially when performance of the overall application is critical. Having a network that efficiently and quickly exchanges data between services, external systems, and customers allows short application response times and efficient data processing.
With Multus CNI on IBM Z and IBM LinuxONE, RHOCP 4.10 supports a number of additional network plug-ins that bring along different quality attributes. This chart deck introduces the basics of these plug-ins and highlights their advantages and drawbacks. For different scenarios and conditions, learn which plug-in and further tuning can help to optimize the network performance of RHOCP on IBM Z and LinuxONE.
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Unleashing the Network of Red Hat OpenShift Container Platform on z/VM® and RHEL KVM for IBM Z & LinuxONE
Creation date
July 2022
Red Hat OpenShift Container Platform on Z & LinuxONE - Capacity Planning: Five Checkmarks You Don't Want to Miss
Capacity panning is an essential step for implementing any OpenShift on IBM Z solution to avoid possible pitfalls during the proof-of-concept or production stage. For your estimates, you must factor in resource sharing, virtualization, overcommitment, LPAR weights, entitlements, polarization, and relative shares.
This presentation explores LPAR performance concepts and walks you through z/VM and KVM virtualization best practices - always keeping a sharp focus on OpenShift on IBM Z as the solution platform. The "Five Checkmarks" address some of the most common misconceptions in OpenShift on IBM Z capacity planning.
Creation date
February 2022
Red Hat OpenShift Container Platform on Z - Performance, Quality & Best Practices
Red Hat OpenShift Container Platform as a highly automated hybrid cloud platform supports both traditional and micro-service applications in the cloud. Learn what OCP does to maintain a high service quality and how the quality attributes interact. This presentation examines the OCP quality attributes with a focus on performance when running on IBM Z. Also, find tips for tuning OCP on IBM Z for best performance.
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Red Hat
OpenShift Container Platform on Z - Performance, Quality
& Best Practices
Creation date
October 2021
Red Hat OpenShift Container Platform on Z - CPU Consumption Demystified
- Does OpenShift distinguish IFLs from regular CPUs?
- Why can a cluster consume IFLs if no workload is deployed?
- Why do the OpenShift and z/VM dashboards show different utilization values?
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Red Hat
OpenShift Container Platform on Z - CPU Consumption
Demystified
Creation date
May 2021
Red Hat OpenShift Container Platform on Z Networking Performance
Cloud-native applications can use high-performance network connections to achieve high throughput and low latency. This presentation analyzes the performance of the network stack of Red Hat OpenShift on IBM Z in detail and uses this knowledge as a basis for performance tuning of hybrid cloud platforms.
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Red Hat
OpenShift Container Platform on Z Networking
Performance
Creation date
November 2020
Red Hat OpenShift on IBM Z - Performance Experiences, Hints and Tips
Red Hat OpenShift enables Hybrid Cloud solutions on the IBM Mainframe. This presentation summarizes the experiences of the Linux® on IBM Z performance team when evaluating OpenShift on IBM Z. It also provides hints and tips for improving the performance of an OpenShift cluster for typical cloud-native applications.
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Red Hat
OpenShift on IBM
Z - Performance Experiences, Hints and Tips
Creation date
October 2020