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Operating Cloud Native Distributed Workloads on Oracle Cloud Infrastructure

Don Mowbray, OCI Product Management, Oracle

Safe Harbor Statement

The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, timing and pricing of any features or functionality described for Oracle’s products may change and remains at the sole discretion of Oracle Corporation.

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Mission Critical Workload Challenges

• On-premises levels of performance and control

– “I don’t want to lose the performance and control we have on-premises.”

– “Some of our applications demand large storage capacity, highbandwidth, and low latency that we haven’t seen in public clouds.”

• Cost of capacity and “right-sizing” purchases

– “We have high capital costs and long purchasing cycles.”

• Using many diverse technologies

– “Some of our applications use CPUs, others use GPUs, and manyintegrate key technologies and tools from the HPC ecosystem. Weneed support for what we know and use – we’re not re-architecting.”

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Mission Critical Computing needs varyTightly coupled applications Massively horizontal applications

Large models which can be broken into small parts and distributed to multiple homogenous compute nodes. Each node must communicate data to the others using Message Passing Interface (MPI)

Key requirements:

Low internode network latency

Easy deployment of nodes

Examples:

Any engineering simulation

CFD, FEA, CAE, Crash, etc.

Small, mostly independent, tasks that can be coordinated by a scheduler, each of which run in seconds or minutes, but thousands or millions are required for the entire job to complete.

Key requirements :

Robust scheduling tool

Easy automation of adding/removing nodes

Examples:

Financial exposure

Insurance risk

Machine Learning / AI

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Oracle Cloud Infrastructure (OCI) Next Generation Public Cloud

Technology Benefit

Availability domains andFault domains

Enterprise-level resiliency

No oversubscription, flat non-blocking architecture

Low latency between resources, predictable performance, eliminates “noisy neighbour issues”

Off-box IO virtualizationBetter security through management isolation, better performance through IO management offload from server CPU

NVMe SSD storage everywhere

Millions of IOPS for workloads that need them

Array of compute instance and processor options

High core count, core frequency, and low cost options with AMD EPYC and Intel Xeon options. HPC clusters and NVIDIA GPUs.

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Better than VMs. Better than on-premise

86%

90%

88%

93%

89%

82%

80%

82%

84%

86%

88%

90%

92%

94%

96%

98%

100%

LS-DYNA ANSYSFluent

MILC WRF HPL Stream

Oracle bare metal performance vs. other cloud provider VMs

Bare Metal VM

0

500

1000

1500

2000

2500

3000

3500

50 100 150 200 250

Flu

ent

Rat

ing

(Sim

ula

tio

ns

per

Day

)

Cores

Oracle bare metal performance vs. on-premise

On-Premises - Haswell with FDR

Oracle BM.Standard1.36 - Broadwell

Oracle BM.Standard2.52 - Skylake

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Interactive Scientific (iSci)Real-time distributed Cloud native molecular modelling

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Interactive Scientific (iSci)

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Interactive Scientific (iSci)Real-time molecular modelling for researchers and schools

• Real-time scientific simulation engine - NanoSimbox

• Leading Scientific Compute for the scientific community

• Scalable and low latency 3D molecular modelling platform

• Full raw power of Oracle Bare Metal Servers – allow distributed computing model

10

CERN

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• Large Hadron Collider – largest machine ever built

• 1PB of Data generated per second –expected to grow to Exabyte range in the next 5 years

• Need infrastructure to support this at scale

• Re-writing systems that globally monitor and give indications of resources via dashboards into OCI including 10,000 cores with 10GB of RAM.

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Cisco TetrationCloud Workload Protection

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Cisco Video

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Hybrid Cloud Workload ProtectionCisco data center monitoring, security anddata analysis

13

• Moved SaaS offering toOracle Cloud Infrastructure

• 15X increase CPU-utilization fostered new business model

• High Performance Computing using AI/ML on OCI

• 75% utilization on OCI X7 Bare Metal shape

• 2.5X performance improvementversus on-premises appliance

ASHBURN, VAPHOENIX

FRANKFURT

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Oracle Cloud Infrastructure Global Footprint

SYDNEY

CHICAGOTORONTO

SAO PAULO

TOKYOSEOUL

ZURICH

OSAKA

LONDON

Commercial

Edge Points of Presence

Government

Planned Commercial

Planned Government

MIDDLE EAST MUMBAI

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Oracle Cloud Infrastructure

Compute

Bare Metal and VMs supporting traditional,

HPC AI/ML andcloud-native workloads

Networking

Predictable, lowlatency, isolation,

and availability

Storage

High-performance local, block, and object and

archive storage

SecurityNetwork, Compute and Vendor Isolation – Core-to-Edge Services

Edge

DNS nameresolution, WAF,

DDOS, STMP email

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Carry on the ConversationVisit our Stand in the Innovation Station to experience our Autonomous SmartCity Demo

Attend our Workshops – chat to us on the stand to sign up or learn more

Oracle Autonomous Data Warehouse – April 30th Oracle Analytics Cloud – May 1st Oracle Machine Learning – May 2nd

Cloud Trials – chat to us on the stand to sign up or learn more

https://cloud.oracle.com/tryit

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Back Up Slides

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iGeoliseLHC largest machine ever built

1PB of Data generated per second – expected to grow to Exabyte range in the next 5 years

Need infrastructure to support this at scale

Moved systems that globally monitor and give indications of resources via dashboards into OCI including 10,000 cores with 10GB of RAM.

WebLogic Clusters on Kubernetes Engine reduced deployment time

Cisco Tetration – Cloud Workload Protection

Attribute and behaviour-based workload protection and segmentation

SaaS offering low CPU utilization on competitive Cloud

75% utilization on OCI X7 Bare Metal shape

More cost effective – passed onto end customers.