Oracle Management Cloud for Autonomous Integration Cloud

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Presentation transcript:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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