Overview of the highlights, main themes and grand announcements during Oracle OpenWorld 2016. Cloud, Big Data, Machine Learning, Infrastructure, raging against AWS and the Oracle future strategy are the chief topics.

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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