Speakers - Shalawn king and Matt Mondics from IBM Systems
Topic - OpenShift on IBM zSystems with Linux IBM Enterprise Systems: your choice IT infrastructure for hybrid multi-cloud
The IBM®️ zSystems and IBM LinuxONE are the most trusted platforms on the market. They modernize your IT with unmatched uptime, security and performance necessary for today's most critical workloads. IBM LinuxONE III offers open enterprise Linux your way, with the flexibility and control that comes with open source development built on the proven architecture of the IBM zSystems.
What is Open Shift ?
- OpenShift is a family of containerization software products developed by Red Hat. Its flagship product is the OpenShift Container Platform - a hybrid cloud platform as a service built around Linux containers orchestrated and managed by Kubernetes on a foundation of Red Hat Enterprise Linux.
What is open Shift Container Platform ?
- OpenShift Container Platform is a private platform-as-a-service (PaaS) for enterprises that run OpenShift on public cloud or on-premises infrastructure. It runs on the Red Hat Enterprise Linux (RHEL) operating system and functions as a set of Docker-based application containers managed with Kubernetes orchestration.
What is hybrid multicloud?
- Hybrid Cloud ; A hybrid cloud is a computing environment that combines a private cloud and a public cloud by allowing applications and data to be shared between them. Multicloud ; Multicloud is a cloud approach made up of more than one cloud service, from more than one cloud vendor-public or private. Hybrid Multicloud = Hybrid Cloud + Multicloud ; A hybrid multicloud combines a private cloud, a public cloud and more than The most relevant applications of AI today involve near real-time data interpretation and decision-making-or inference-to meet critical business needs. We must lean on AI to make inferences about what exactly should be done to resolve complex problems, help customers, or drive new opportunities when moments matter.
What is zIIP and IFL?
- The IBM zSystems Integrated Information Processor (zIIP) is a special purpose processor. It was initially introduced to relieve the general mainframe central processors of specific Database workloads, but currently is used to offload other z/OS workloads as described below. The idea originated with previous special purpose processors, the zAAP, which offloads Java processing, and the IFL, which runs Linux and z/VM but not other IBM operating systems such as z/OS, DOS/VSE and TPF. A System z PU (processor unit) is "characterized" as one of these processor types, or as a CP (Central Processor), or SAP (System Assist Processor). The IBM zSystems Integrated Information Processor (zIIP) is a special purpose processor. It was initially introduced to relieve the general mainframe central processors of specific DB2 workloads. Although Db2 for z/OS was the first product released that exploited zIIP processors, it is not limited to just Db2 or IBM products. The zIIP specialty CPU can also be used for IPSec processing in Transaction Control Protocol/ Internet Protocol (TCP/IP), certain general extensible markup language (XML) processing, and IBM's Scalable Architecture for Financial Reporting. The Integrated Facility for Linux (IFL) is a specialty engine processor on IBM System z mainframe servers that is dedicated to Linux workloads. Operational efforts, software costs, energy use and hardware footprint are reduced when Linux is deployed on IFL rather than general-purpose processors.
What is most relevant to an AI engineer?
- The speed and performance of how AI is trained to respond to huge volumes of incoming data at each decision point are critical.
What is most important for a business leader while implementing AI ?
- AI's value for improving quality of service, bringing new competitive differentiation to market, and avoiding risk are paramount.
What's the goal for all enterprise constituents ?
- The causes and effects of these critical decision points are already manifested on the mainframe-the digital backbone of the business. • Inference/scoring within transaction (Less then 10ms) to be relevant to customers • Most data is text/number, some speech, some pictures at this point • Currently AI workload focused on machine learning • Ongoing transition to deep learning convolutional neural networks (CNNs) and recurrent neural networks (RNNs) (explainability)