oow2016 review-13th october 2016
TRANSCRIPT
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
DCaaSPlot of land
Building & FloorsElectricity
InternetCooling
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
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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 systemsODA & 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
Anal
yze O
perate
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