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C5 journey to_the_cloud_with_oracle_sparc
1.
Copyright © 2015,
Oracle and/or its affiliates. All rights reserved. | Journey to the Cloud with Oracle SPARC Modern Infrastructure for Legacy Unix Applications and the Cloud Benny K. Chan Principal Sales Consultant Oracle Hong Kong, Systems October 26, 2016
2.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. |Copyright © 2016 Oracle and/or its affiliates. All rights reserved. | Cloud Impacts Every Industry and Every Geography 2Copyright © 2016, Oracle and/or its affiliates. All rights reserved. |
3.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | 3 The Business Demands Cloud for Speed and Agility • Compelling applications • Better workflow • Deeper analytics • Reduced costs
4.
Few Options for Modernizing
Legacy Business Applications Choices are not good: • Do nothing • Change everything What If There Were a Better Way? 4
5.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | Deploy Legacy Apps on Modern Cloud-Ready Infrastructure • Leverage investments without starting over • Improved security, capacity • Flexibility, app development • Simplified management and service delivery • Clear Path to the Cloud
6.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. |Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Leaders in Enterprise IaaS 6
7.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. |Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Why Oracle for Business Critical Infrastructure 7 Only Oracle offers you a pathway to the cloud for business-critical applications Modern Platform Cloud Ready
8.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. |Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Same System, On-premises or in the Oracle Cloud 8 Enterprise Cloud Infrastructure Optimized Solution SPARC Model 300 Dedicated compute • Test/Dev • Production • Disaster Recovery • Bursting SPARC Systems for Enterprise-grade Infrastructure
9.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | 910/26/2016 On-Premises / Private Cloud on SPARC M7 Public Cloud on SPARC M7 Same System, On-premises or in the Oracle Cloud
10.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. |Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Analytics Unheard of Results for Apps & Cloud, Attainable Now 10 Security. Efficiency. Simplicity.
11.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | Security
12.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. |Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | A Couple of Famous Examples: Heartbleed and Venom 12 Silicon Secured Memory Protection From Read and Write Attacks Buffer Over-Read Attack Buffer Over-Write Attack
13.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. |Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | More Secure and Reliable SW With Silicon Secured Memory Memory Other Processors Pointer No protection from stale pointer and off end access, buffer over-read, buffer over-write Memory Pointer SPARC M7 Processor H/W compares pointer “key” with memory “lock” 13
14.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. |Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | SPARC: Broadest Set Of Ciphers For All Your Apps 14 On-chip cryptography accelerators off-load cores: near zero performance cost M7 32 Cores and 32 Crypto Accelerators per Processor Clear Data In Encrypted Data Out
15.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. |Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | End to End Security For Database, Apps, and Web Tiers 10,000 15,000 Only 2% Impact with SPARC S7 UNSECURE SECURE 5,000 14,121.46 EjOps 14,400.78 EjOps 15 SPECjEnterprise2010 (see disclosure slide)
16.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | Efficiency Performance
17.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. |Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | SPARC M7: 32-Core Revolution More Throughput Performance More Single Thread Performance More Encryption Bandwidth More Cores – Higher Core Frequency - More Cache – More Cache per Core – More Memory Bandwidth More IO Bandwidth - More PCIe Lanes – Lower Cache Latency – Lower Memory Latency 17 Data Analytics Accelerators Silicon Secured Memory
18.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. |Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Data Analytics Accelerator (DAX) 18 • 32 In-silicon offload engines on M7 • Cores/Threads operate synchronous or asynchronous to offload engines • User level synchronization through shared memory • High performance at low power • Up to 3x more memory bandwidth than x86 Decompress Unpack/ Alignment Scan, Filter, Join Result Format/ Encode Data Input Queues Local SRAM Decompress Unpack/ Alignment Result Format/ Encode Decompress Unpack/ Alignment Result Format/ Encode Decompress Unpack/ Alignment Result Format/ Encode Data Output QueuesAnalytics Engine (1 of 32 on M7) On-Chip Network Data Input Queues Data Output Queues On-Chip Network On-Chip Network On-Chip Network Scan, Filter, Join Scan, Filter, Join Scan, Filter, Join
19.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. |Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | SQL in Silicon: Accelerating Oracle Database 12c Queries 19 While Off-Loading Cores to Carry-on with other Work One step 10Xfaster Decompress More than Doubles data size Read Software scan Read Write Write Read DAX Write Multiple steps SQL: SELECT count(*) …WHERE lo_orderdate = d_datekey …AND lo_partkey = 1059538 AND d_year_monthnum BETWEEN 201311 AND 201312; t
20.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. |Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Image Apache Spark with Software-in-Silicon One billion rows filtered and folded into cube Faster 6X With In-memory Analytics Accelerator Without In-memory Analytics Accelerator 38 seconds 6 seconds 20
21.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | * Best 2-chip result SPECjEnterprise * PeopleSoft HR+Payroll SPECcpu rates 1-chip (four benchmarks) PeopleSoft HR-only SPEComp PeopleSoft Batch-only SPECvirt2013 * PeopleSoft FMS Batch Java Workload FLEXCUBE UBS SAP-SD Oracle Communications ASAP Telco E-Business Online E-Business Order-to-Cash Batch In Memory Aggregation E-Business Payroll Batch NoSQL YCSB Oracle Internet Directory Graph Oracle Stream Explorer R statistics SPARC M7: Setting 20 World Records in Performance 21
22.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | 22 Real Time Analytics: 83X performance improvement using T7 Database Acceleration “Using Oracle SPARC T7 servers, we can reach new levels of insight with real-time queries on up-to-date transactional data.” Shlome Seidenfeld CIO, VP E- Commerce, B&H Photo Video
23.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | North American Music Company: Improve Security SPARC Solution Benefits: • Better Security & compliance • 9 to 1 consolidation • 80% lower power/cooling • 66% increase in throughput Solution Details • SPARC T7 and T5 servers • Oracle Database EE
24.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | Large Financial Company: Scalability and Capacity SPARC Solutions Benefits: • Capacity beyond 5 years • 44% IT budget reduction • Meets SLAs Solution Details • Four SuperCluster M7 systems • Oracle Database, EBS, Hyperion, and Data Guard
25.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | SPARC Systems for Modern Enterprise Workloads 25 SPARC S7 Servers SPARC T7 Servers • Small-Med DB, Bus Apps • Web tier • Cloud Infrastructure • *Telco/NEBs compliance • Large-Very Large DB • Enterprise Bus. Apps • Consolidation SPARC SuperCluster M7 • Single Instance, Clustered DB • Simple to deploy • Integrated Security • Extreme DB Performance, • Enterprise Bus. Apps • Consolidation SPARC MiniCluster S7SPARC M7 Servers SPARC T7 Servers SPARC S7 Netra S7* Servers Scale-out Scale-up Appliance Engineered System
26.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | Oracle Cloud Compute Services 2610/26/2016 Bare Metal Elastic Compute Engineered Systems IaaS Docker Service Compute Multiple OS Multiple Hypervisors Docker Containers Bare Metal Elastic Compute Dedicated Compute
27.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | Bare Metal Elastic Compute Engineered Systems IaaS Docker Service Compute Multiple OS Multiple Hypervisors Docker Containers Bare Metal Elastic Compute Dedicated Compute 27 Oracle Cloud Compute Services 10/26/2016 Dedicated Compute Dedicated Compute Capacity - SPARC Model 300 Dedicated Compute Only Oracle offers SPARC M7 and x86 Same Price for SPARC M7 and x86
28.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | SPARC Model 300 Hardware Layout • SPARC Compute – 300 OCPU (300 SPARC M7 Cores) – Each compute node has 30 cores (240 Threads/vCPUs) and 480GBs of memory in a Guest Domain (Dom U) visible to the customer – Runs Solaris 11 (including Solaris 10 Branded Zones) – Customer must bring their own licenses for Oracle software • Storage – Local (On-board) Storage in SPARC servers for OS boot images – Integrated ZFS Storage Appliance with 32TB of usable capacity for Virtual Machines (Solaris Zones) and application storage 28RESTRICTED CONFIDENTIAL
29.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | 29 Cloud Bursting • Capacity on demand • Maximize seasonal impact Production • Always on, low overhead • Low overhead Encryption & Silicon Secured Memory for data protection Comprehensive Test/Dev • Fast, self-service VMs • Optimize applications using Oracle Solaris Studio Disaster Recovery • Fast access to secondary sites Dedicated SPARC Cloud Service: Use Cases RESTRICTED CONFIDENTIAL
30.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | Customer Data Center Integrated Private Cloud and Public Cloud Offerings Archive Cloud SPARC Dedicated Compute Oracle Cloud Storage Backup Oracle Confidential – Internal and Authorized OPN Partners Only SPARC Private Cloud
31.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. |Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Path to a Modern Infrastructure and the Cloud 31 Standardize Your Unix systems Deploy cloud services Modernize your SPARC Systems SPARC S7/M7
32.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | Rules • Margin Goals • Behavior Goals • Specials • Partners • Sales Role • Order Receipt • Order Acceptance • Assign Credit • Assess Disputes • Make Payments • Mid Year Adjustments • Compliance Reporting • Management Insight Reporting • Pick, Pack, Ship, Bill • Spend Classification and Analysis • Procure to Pay • Catalog Production • Contract Management • Job Status Inquiry • Financial Close • Supply Chain Management • Rate Change Impact Analysis • Instant Part Reuse • Analysis • Order Importation • Work Order-Less Completion • Root Cause Analysis •Business Strategy and Goals • Products • Quotas • Payment Rate • Rules • Margin Goals • Behavior Goals • Specials • Partners • Sales Role • Order Receipt • Order Acceptance • Assign Credit • Assess Disputes • Make • Do you have a plan or mandate to move your legacy Unix applications to a public cloud? • Does your current infrastructure investment have cloud insurance? • Why SPARC? Why Not SPARC? 32Copyright © 2016, Oracle and/or its affiliates. All rights reserved. |
33.
Innovation to grow. Insight
to control.
34.
Copyright © 2016
Oracle and/or its affiliates. All rights reserved. | 34
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