The AMIS Team reviewed Oracle OpenWorld 2016 in Nieuwegein, Netherlands on October 13th. Some key themes discussed included Oracle focusing on growing its Infrastructure as a Service capabilities to better compete with Amazon Web Services, introducing new IaaS options that provide high performance networking and storage, and deploying IaaS both on-premises and in Oracle's public cloud. The document also covered Oracle expanding its Platform as a Service and Software as a Service offerings, including evolving traditional on-premises applications like E-Business Suite for deployment in Oracle's public cloud.

1. The AMIS Team
Oracle OpenWorld 2016, Nieuwegein, 13th October 2016
Oracle OpenWorld 2016 Review

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OOW is serious work out!

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Oracle OpenWorld “speak”
• “I would be very interested to hear your use cases”
– I have got a hammer, do you happen to have something resembling a nail?
• “I suggest we take this discussion off-line”
– Please, stop yammering and let me continue with my presentation
– Or: I would prefer not to answer this question with the whole audience listening in
• “Today we announce …”
– We are thinking about this product/functionality and it may be released soon/ever
• “The slides will be available [so don’t bother taking pictures]”
– Yeah, right. These sides stay right where they are so there is no evidence at all
• “We are going to show you a demo [of this functionality] right now”
– Using HTML mock ups we will give you an impression of what it may look like
• “This Year”
– Can be any of: current Calendar Year, current Fiscal Year, just the next 12 months
• “Many customers are using this product right now [see their logos]”
– Customers may have done a PoC, may have signed a contract, maybe in small scale
production, or may have credits that they have not touched yet
• …

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Cloud
• Drives innovation
• Democratizes IT
• Increases security & reliability & scalability
• Brings IT closer to business

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Cloud
• 30% on average lower TCO
– CAPEX => OPEX

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Background facts
• Average age of IT infrastructure: 5.5 years
• Average age of IT application: 21 years
• 80/20 rule on IT budgets
– > 80% of IT spending is on ‘keeping existing stuff running’
– < 20% on innovation – new functionality
(including regulation, compliance, security)
• Today (2016):
– Cloud investments grew by 44% over last year
– Cloud IT spending = $30B – out of $1T (aka 3%)
– SaaS spending 3 times >> IaaS
• New enterprise architecture/IT guideline: Lease before buy before build

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Predictions

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Predictions

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80/20 rule reversed

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Drivers sparking the evolution
• Moore’s law – reduced costs and higher capacity
• Increasing # IOPS (I/O operations per second)
– Storage
– Network (bandwidth, latency)
– SDD, NVMe, Flash
– Memory (size)
• Distributed, parallel processing
– #cores
– Network
– Parallel job managers (distribute the work, collect the results)
• Open Standards & Open Source
– HTTP, (WebSocket), XML, JSON, Java, JavaScript; Apache; …
• Smart patterns & algorithms
– Functional programming, ‘bring function to the data’, lambda functions, Map-Reduce and
its successors such as Spark (SQL, Streaming, Graph, Machine Learning, …)
– Pre and post-process around bottleneck (storage cell, compression, silicon)
– Streaming Analytics, Approximate Analytics
– CQRS, Claim Check Pattern, Elastic Seach, BlockChain
– Columnar Storage (=> In Memory processing => discard indexes => speed up OLTP)

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Cloud stack
DaaS
SaaS
PaaS
IaaS
DCaaS
Plot of land
Building & Floors
Electricity
Internet
Cooling
Physical security
Compute (VM)
Storage (fast..slow)
Network
Bare Metal

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Oracle’s competitors

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Oracle’s competitors

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Oracle’s competitors
DaaS
SaaS
PaaS
IaaS

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Amazon Web Services

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Amazon Web Services

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Amazon Web Services

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Amazon Web Services

21. The main theme of Oracle OpenWorld 2016
Infrastructure as a Service
(bigger, better, cheaper >> AWS)
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Infrastructure as a Service
• Generation 2 Infrastructure
– Leap frogging the competition with latest generation technology and best practices
• Network
– performance & predictability
– add as extension to customer’s enterprise network
• Storage
– High IOPS with big NVMe, huge block storage (& distributed)
• Compute Shapes
– #cores, memory size, also as bare metal
• Workload portability
– run same workloads, unchanged; (almost) any OS
– Migrate Vmware ESX “constellations” to public cloud with Ravello
• Security, Governance & Compliance
– Certifications, Audits
– Customer insight & control
– H/A (locally redundant), Disaster Recovery
• High density & degree of Ops automation in Oracle Data Centers

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Network
• Flat network architecture – no oversubscription
– Always 10 Gb/s bandwidth & low latency between nodes (compute & storage) in a DC
– Design principle: “Location independency”
• Network (& Storage) virtualized in the network (SDN)
• Each customer’s traffic is isolated (in Private Layer 3 Overlay Network)
• Networking as a Service (IaaS: Compute, Storage, Network)

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Waging war on AWS
You have to be willing to pay less!
[Otherwise, you cannot get it]

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Cloud@Customer
• Oracle Public Cloud
– Behind customer firewall
• Use cases:
– Regulations regarding data
– Network latency challenges
– (ultimate) Control
• It is a service (the Oracle Public Cloud)
– You do not buy or even lease a machine
• Subscription based

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Three deployment models from
Oracle

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On Premises/Private Cloud
Engineered Systems
• Exa-range & SuperCluster
– Storage cells, Flash algorithms, Infiniband, Software in Silicon

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Exadata SL –
Best of all Worlds

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On Premises/Private Cloud
Engineered Systems
• Exa-range & SuperCluster & Exadata SL
– Storage cells, Flash algorithms, Infiniband, Software in Silicon
• OPCA (fka VCA)

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Low-end engineered systems
ODA & MiniCluster S7-2

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Cloud and On Premises
Migrate and
Extend
Cloud
Native Apps
Low Code
Development
M O N I T O R & M A N A G E
Oracle SaaS
Custom
Objects

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On Premises vs Cloud

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12cR1 12cR2

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PaaS Cloud Strategy
Engage
Build
Integrate
Secure
Open
– Standards Based (Java, SQL,
JavaScript, REST)
Cloud First
– Also delivered on-premises
– Roadmaps SOA Suite, BPM Suite,
ADF, WebCenter, ODI
Comprehensive
– Cloud Native, Migrate & Extend,
Low Code
Integrated
– IaaS, PaaS, and SaaS

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PaaS Fabric
• PaaS Cloud Services share a set of common platform facilities
– Identity Management (Account Management, Authorization, Subscription, Billing)
– Provisioning, Management, Scaling, Patching, Monitoring, Notifications, Metrics
– Scheduling, Events, Load Balancing, Caching, H/A & DR, ZDT ops
PaaS Service Manager: https://docs.oracle.com/cloud/latest/jcs_gs/PSCLI/toc.htm

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PaaS Dogfood Doctrine [at last]
• Designated capabilities
– Identity and accountmanagement & authentication
– Visual, declarative User Interface development
– API design, publication, management & governance
– Integration
– Monitoring & Ops Analytics
– Document management
– Data Visualization
– Load Balancing
– Event Bus
– Data Cache/Data Grid
– Software engineering, Continuous Integration & Delivery
• That are leveraged and integrated
– PCS integrates with ICS, Doc CS, OSN, (ABCS & JET)
– Mgt CS leverages Data Visualization, Data Discovery & Predictive Analytics
– ICS will integrate with API Platform [as will MCS?]
– All will integrate with ID CS

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Cloud subscription models
• Free trials (one month)
• Only based on Users or OCPUs
• Through Suites & Editions (personal, workgroup, enterprise)
• Restricted usage (capability, capacity)?
• The startup model: do not pay until you start making money
• Multitenant reselling through Managed Service Provider

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Cloud Service as Suite

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3rd Party, Industry, Community,
Open Source

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SaaS
• Most areas covered already (ERP, Sales, Supply Chain, HCM, CX)
• … and expanding
– Enterprise Performance Management (EPM), ‘upper levels of PaaS’
• Next: more niches – regions, industries & sectors, special functional areas

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The traditional applications
(SaaS avant la lettre)
• What about ‘Applications Unlimited’ (on premises) (EBS, JD Edwards,
PeopleSoft, Siebel, ..)
– Continued innovation…
– “Siebel support until 2038”, “Guaranteed new releases”
– Strategies for deployment on Oracle Public Cloud
• DBaaS and Compute (not on JCS!)

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EBS Evolution

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Adoption of ERP Cloud

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Data
• ACID is expensive
• OLTP is a niche
• Moving data takes long – bring processing to data
• SQL is omnipresent – expose all data in an SQL friendly way
– Including NoSQL and data on Hadoop
• Data from the past should be able to help us predict the future
– Bring on machine learning (aka AI aka predictive analytics)
– Aided by the citizen data scientist in (Big) Data Discovery
• Fast Data (big data at high velocity) should be handled in real time
– Enter: Streaming Analytics & Apache Kafka
• Oh and ehm …. a next major release of Oracle Database is available
– 12cR2 – only on the cloud for now
– Highlights: Sharding, More PDB (“virtual database”),
Approximate Query Processing, Leverage In-Memory
even more, JSON document generation and faster
JSON processing, Analytic Views

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Oracle OpenWorld 2016 Tag Cloud