2. Oracle Management Cloud for Autonomous Integration Cloud
Glen Hawkins, Senior Director of Product Management
Avi Huber, Senior Director of Product Management Oracle Management Cloud October 23rd, 2018
Confidential – Oracle Internal/Restricted/Highly Restricted

3. 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, timing, and pricing of any features or functionality described for Oracle’s products may change and remains at the sole discretion of Oracle Corporation.
Confidential – Oracle Internal/Restricted/Highly Restricted

4. Agenda 1
Overview Oracle Management Cloud for Autonomous Oracle Integration Cloud Oracle Management Cloud for Java Cloud Service Demo Questions & Answers 2 3 4 5
Confidential – Oracle Internal

5. Agenda 1
Overview Oracle Management Cloud for Autonomous Oracle Integration Cloud Oracle Management Cloud for Java Cloud Service Demo Questions & Answers 2 3 4 5
Confidential – Oracle Internal

6. IT Organizations are Drowning
END USER
EXPERIENCE / ACTIVITY
Global threat feeds
Cloud access
Identity
Too many separate tools
Real users
Synthetic users
APPLICATION
What is OMC?
An integrated suite of capabilities that allows you to (a) easily monitor your application – end to end – reduce false alerts, give heads up where possible
(b) quickly troubleshoot if there are any issues – bring you all the data you need to solve that problem at that time - metrics, logs, topology
(c) help you keep your applications secure and compliant
(d) auto remediate the most common problems whether they are security or management events
(e) analyze your data over a longer period of time to spot trends/issues
Regardless of whether your application is running on-prem, our cloud or anybody else’s cloud and on any technology stack
You can use pieces of these individually or use them all together
The unified platform enables us to bring in a rich set of potentially inter-related data to a single place that allows us to get a 360 view - entity and topology
App metrics
Transactions
MIDDLE TIER
Too much human effort
Server metrics
Diagnostics logs
DATA TIER
Host metrics
VM metrics
Container metrics
VIRTUALIZATION TIER
Not enough insight
Configuration
Compliance
Tickets & Alerts
Security & Network events
INFRASTRUCTURE TIER

7. Oracle Management Cloud
Application Performance Monitoring
Global threat feeds
Cloud access
Identity
END USER
EXPERIENCE / ACTIVITY
Comprehensive, Intelligent Management Platform
Real users
Synthetic users
Infrastructure Monitoring
Orchestration
APPLICATION
App metrics
Transactions
OMC was designed to enable the disciplines of systems management and security to be as agile as the applications development ecosystem has become.
Specifically, our design principle was to develop a system that could ingest, analyze and draw intelligent conclusions from the vast quantities of operational and security telemetry generated by today’s applications, regardless of what kind of technology they are built on or where they are deployed.
Today that telemetry data, which is contained in logs and metrics, is most often stored in separate siloed toolets, each of which carries its own downstream overhead, and all of which require human operators to work across the silos to figure out what’s going on. This operator-centric approach is inefficient and slow.
With OMC, customers can analyze a single, unified data set with purpose-built machine learning designed specifically for the systems management and security problem set to instantaneously draw actionable conclusions about the performance and security posture of a heterogeneous, hybrid estate, and then take instantaneous action on the basis of those analytic conclusions.
Zero-effort Operational Insights
MIDDLE TIER
Server metrics
Diagnostics logs
DATA TIER
Log Analytics IT
Analytics
Host metrics
VM metrics
Container metrics
Automated Preventative & Corrective Actions
VIRTUALIZATION TIER
Configuration
Compliance
Tickets & Alerts
Security & Network events
Configuration & Compliance
Security Monitoring & Analytics
INFRASTRUCTURE TIER
Unified SaaS Platform

8. Dashboards, Remediation and Automation
OMC Key Capabilities
Unified Monitoring
Diagnostics
Analytics
Database Management*
Security
Infrastructure
Application
Database
Log-based metrics
Real, Mobile & Synthetic Users
Application performance
Logs
DB diagnostics and tuning
ML-based root-cause analysis (clustering)
ML-based performance insights
SQL & Exadata Analytics
Utilization and capacity planning
Data Explorer
Deep real-time performance diagnostics
Data movement
Fleet monitoring and management
Audit log analysis
Security Monitoring
User Behavior
Incident Response
Configuration & Compliance
Identity context
Dashboards, Remediation and Automation
Confidential – Oracle Internal

9. Agenda 1
Overview Oracle Management Cloud for Autonomous Oracle Integration Cloud Oracle Management Cloud for Java Cloud Service Demo Questions & Answers 2 3 4 5
Confidential – Oracle Internal

10. Challenges in a Fully Autonomous World
Yes, the Autonomous Integration Cloud provides fully automated environments and back-end infrastructure management and maintenance is a thing of the past!! (Cheers all around)
There is less to be concerned about, but still a few areas are still the responsibility of the end user:
Deployed Integrations
Configured settings
Each integration is unique
Root cause analysis and diagnostics with trend analysis for bulk runs a must
Deployed Connections
Adapter credentials
Customized configuration settings
Connecting to other services and platforms (i.e. on-prem EBS, Siebel)
Possibly impacts multiple integrations
Confidential – Oracle Internal

11. Oracle Integration Cloud Management
Goals
Unified End to End Operational Visibility for OIC
Individual Integration Flow Root Cause Analysis
Aggregated Integration Flow Health Correlates with Log Analytics (cross-pod)
Automatic on-boarding
Every Autonomous OIC customer will get these capabilities once available
Seamless monitoring & diagnostics for customer deployed components like Integrations and Connectors
Confidential – Oracle Internal

12. Oracle IC Fleet Summary Page
High-level operational visibility across all IC pods providing:
Service Health & Alerts
Built-in IC Integration Adapter Health Checks
Message Processing Performance Across all pods
Message load and volume
Drill-downs to deeper diagnostics for individual IC pods as well as root cause analysis via log analytics
Confidential – Oracle Internal

13. Oracle IC Integrations Page
Provides visibility into single IC Service instance with details on deployed Integration performance and overall processing & success rates
Examine individual IC integration deployed on an IC instance (sorted by success rate by default)
Compare performance of IC instance to quickly identify performance bottlenecks and execution failures
Provide an in-context drill-down to log analytics for further troubleshooting of a specific integration or error analysis
Confidential – Oracle Internal

14. Oracle IC Log Analytics Trends Page
Identify OIC Adapter error groups to quickly identify problem areas
Integration execution processing time with automatic anomaly detection via clustered machine learning
Determine which integrations are generating the most errors and narrow down to error trends (patterns)
Seasonal analysis of performance and errors (i.e. capacity problems at the end of every month)
Confidential – Oracle Internal

15. Oracle IC Integrations Page – Log Analytics Drill-down
Log Analytics for OIC
Integration tracking for cross-IC integrations across multiple instances via log analytics based on flow ID or business identifier ID
Identify most frequent and least frequent integrations
Categorize and Compare integrations by various dimensions like, number of steps, time taken, user, etc.
Identify integrations that take longer to run
Automatically identify anomalous integrations
Drill down into specific logs to identify time taken for each step in an integration
Link Flows by Time Taken
Automatically Detect Anomalies
Oracle Confidential – Highly Restricted

16. Oracle IC – Connection Tests
Proactively test the OIC Connections
Periodically invokes the Connection self test feature
Requires no additional information from the user
Uses the info already configured in ICS Connection
Utilizes the APM Synthetic monitoring
Provides early indication on:
Network problems
Third party account issues
Password changes
Other health, etc.
Confidential – Oracle Internal

17. Inclusion of OMC Data in Autonomous OIC Console
Plans to enrich OIC console with OMC data (examples below):
Broader date-time range of OIC data for seasonal analysis (i.e. 7 days, 30 days, 1 year)
Log analytics data to expand diagnostics
Seasonal trends and performance config event correlation (i.e. Integration version change)
Provides drill-downs to OMC in context of OIC
Ensures a seamless experience for the customer
Confidential – Oracle Internal

18. Agenda 1
Overview Oracle Management Cloud for Autonomous Oracle Integration Cloud Oracle Management Cloud for Java Cloud Service Demos Questions & Answers 2 3 4 5
Confidential – Oracle Internal

19. JCS System Landing Page
Single pane of glass landing home page for JCS Administrators/DevOps (JCS Service, LBaaS, host/compute, and related DBCS)
Performance Monitoring
Diagnostics
Configuration Collection
Rich APM region providing aggregated metrics with contextual drill-down to full APM capabilities
Broad log analytics across all JCS system entities provides deep visibility into errors and other key troubleshooting needs with common error patterns identified out-of-the-box

20. Oracle Application Performance Monitoring for JCS
Deliver Better Software Faster
Complete APM Solution with Visibility across traditional IT Silos
Sessions
Synthetic Tests
Pages
Solve visibility issues caused by rapid software updates by leveraging APM to see across Traditional IT Silos in Dev or Production
Handle dynamically changing infrastructure (Infrastructure as code) by using dynamic application discovery and modeling
Solve functional issues in production with integrated log analytics
Elastic Application Model with Automatic Infrastructure Discovery
Log files
Ajax Calls
Integrated Log Analysis and Application Topology
HW infrastructure
Server Requests
Application Server
Oracle Confidential – Internal/Restricted/Highly Restricted

21. Agenda 1
Overview Oracle Management Cloud for Autonomous Oracle Integration Cloud Oracle Management Cloud for Java Cloud Service Demo Questions & Answers 2 3 4 5
Confidential – Oracle Internal

22. Agenda 1
Overview Oracle Management Cloud for Autonomous Oracle Integration Cloud Oracle Management Cloud for Java Cloud Service Demo Questions & Answers 2 3 4 5
Confidential – Oracle Internal

23. Q&A
Confidential – Oracle Internal/Restricted/Highly Restricted

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