Safe Harbor Statement

Transcription

1 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, and timing of any features or functionality described for Oracle s products remains at the sole discretion of Oracle.

2 Meni Meller CTO, Oracle Israel Today Data-as-a-Service Software-as-a-Service Platform-as-a-Service Infrastructure-as-a-Service Hybrid Deployments On-Premise deployments

3 The Future Human Interface Artificial Intelligence Internet of Things Blockchain Hybrid Computing DaaS SaaS PaaS IaaS Infrastructure Vision PC Internet 1 Billion Devices Terabytes of Data 3.2 Kilobits/Second/Person Web Applications Mobile Internet 3.8 Billion Devices Petabytes of Data 3.2 GB/Second/Person Cloud Services 2020? 10 Billion Devices Zettabytes of Data 3.2 TB/Second/Person AI-Based Services Infrastructure as CODE

4 Today: Infrastructure-as-a-Service Load Balancing DNS Content Distribution Messaging Compute Storage Networking Identity Tomorrow: Serverless & APIs Public APIs Events to invoke Functions Service Mesh Orchestration Runtime Registry Monitoring & Diagnostics Polyglot SERVERLESS Native Open, CLOUD NEUTRAL

5 Platform Vision 2000s Manual Configuration Manual Monitoring Manual Management Manual Scale Out 2020? Software Configures & Scales Platforms Software Automatically Manages Platforms Software Learns & Tunes Platforms Software Predicts & Avoid Problems Platform Software as Autonomous Services Platform-as-a-Service ecosystem Data Management Application Development Analytics Big Data Mobility Content & Social Data & Service Integration Systems Management Elastic API Infrastructure-as-a-Code

6 Autonomous Data Warehouse Numbers Images Sounds Video Text Sensor Process & Load High Scale, Elastic, Managed Query Use HIGH PERFORMANCE, AUTONOMOUS DATA WAREHOUSE Analytics Vision 1990s Numbers Charts Professional Users Human Insights 2020? Numbers, Images, Sounds, Video, Text, Sensor Charts, Messages, Narrative, Movies Everyone Machine Assisted Insights Analyze ANY TYPE OF DATA from ANY SOURCE for EVERYONE

7 Oracle Cloud: AI & ML PaaS Jupyter Pillow Pandas Scikit OpenCV Numpy Keras Caffe TensorFlow Machine Learning AI Algorithms Deep Learning Automated Packaging, Deployment, Scaling Elastic AI & ML Infrastructure GPU Flash Storage 25 Gig Ethernet Experiment with DATA SETS & AI/ML ALGORITHMS Oracle Cloud: Evolution of Business Applications 2000s Professional Users Forms & Workflow Rules-Based Centralized 2020? Self-Service Users Mobile, Voice, Camera, Messaging Artificial Intelligence & Sensor Driven De-Centralized Business Networks Create APPLICATIONS TO ENABLE NEXT GENERATION BUSINESSES

8 Human Interface Web Mobile Messaging Voice Camera Augmented Reality REST API Business Logic Business Process Multiple MODES Multiple DEVICES BEYOND the SCREEN Blockchain Transformation Procurement B2B Transactions Loyalty Intercompany Blockchain Platform-as-a-Service Secure INTER-COMPANY Transactions

9 IOT Intelligent Ø Technology CONNECT IOT Platform-as-a-Service ANALYZE INTEGRATE LEARN SMART Devices Automate SUPPLY CHAIN Multi-cloud, Multi DC

10 Massive Disruption in Systems Management One in Three Apps Headed for Disaster 94% IT orgs distrust their monitoring 1 84% DevOps orgs say they need new mgmt. solutions 2 6,000 Availability outages occurred in $150 Million What a single outage can cost 4 32% of production apps have problems that are often only discovered when they are reported by customers 1. Sources: 1) Put The Ops In DevOps : Improve Speed And Agility Through Better Service Delivery, Forrester, August ) Integrated Cloud-Based Monitoring and Analytics Break Down IT Operations Silos, IDC, June ) Downdetector.com, reporting an average of ~25 outages/day through August 31, ) Delta Investor Presentation, September 7, Challenge: IT Ops Organizations are Drowning Too many tool silos Too much data Limited insight

11 EXPERIENCE APPLICATION EXPERIENCE APPLICATION DATA VIRTUALIZATION DATA EXPERIENCE APPLICATION EXPERIENCE APPLICATION VIRTUALIZATION DATA INFRASTRUCTURE EXPERIENCE APPLICATION EXPERIENCE VIRTUALIZATION DATA INFRASTRUCTURE APPLICATION DATA VIRTUALIZATION DATA VIRTUALIZATION INFRASTRUCTURE EXPERIENCE INFRASTRUCTURE APPLICATION EXPERIENCE APPLICATION VIRTUALIZATION DATA INFRASTRUCTURE VIRTUALIZATION DATA INFRASTRUCTURE VIRTUALIZATION INFRASTRUCTURE INFRASTRUCTURE Challenge: Over-Dependence on Human Effort Synthetic Users App metrics Synthetic Users Transactions Server metrics App metrics Synthetic Users Diagnostics Transactions Logs Server metrics App metrics Synthetic Users Diagnostics Transactions metrics Logs Container metrics Server metrics App metrics Diagnostics Transactions CMDB metrics Logs Tickets Container metrics Server metrics CMDB Diagnostics metrics Tickets Logs Container metrics CMDB metrics Tickets Container metrics CMDB Tickets Synthetic Users App metrics Synthetic Users Transactions Server metrics App metrics Synthetic Users Diagnostics Transactions Logs Server metrics App metrics Synthetic Users Diagnostics Transactions metrics Logs Container metrics Server metrics App metrics Diagnostics Transactions CMDB metrics Logs Tickets Container metrics Server metrics CMDB Diagnostics metrics Tickets Logs Container metrics CMDB metrics Tickets Container metrics CMDB Tickets Where is the data? What is it telling me? What action can I take? Ideal Solution: What if You Could? Effortlessly collect, aggregate and analyze all your data Get actionable insights before your users are impacted Rapidly execute remediation to prevent business impact

12 Some Takeaways Autonomous, Synergic infra, Human interface Security, Management, Hybrid