Leveraging the Power of the ServiceNow® Platform with Mainframe and IBM i Systems Data
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The document outlines a webcast focused on leveraging the ServiceNow platform alongside legacy systems like IBM i and mainframe, emphasizing the need for visibility and integration through AIOps best practices. It discusses how traditional IT operations face complexity and highlights the advantages of using Ironstream to connect legacy systems to modern platforms. Key points include improving service health, automating processes, and enhancing overall IT infrastructure management efficiency.
Leveraging the Power of the ServiceNow® Platform with Mainframe and IBM i Systems Data
- 1. Leveraging the Power of the ServiceNow® Platform with Mainframe and IBM i 1
- 2. Housekeeping 2 Webcast Audio Today’s webcast audio is streamed through your computer speakers. If you need technical assistance with the web interface or audio, please reach out to us using the chat window. Questions Welcome Submit your questions at any time during the presentation using the chat window. We will answer them during our Q&A session following the presentation. Recording and slides This webcast is being recorded. You will receive an email following the webcast with a link to download both the recording and the slides. Sree Subramaniam Director, Product Management ServiceNow Chip Sutton Director, Software Development Syncsort
- 3. Today’s Agenda • AIOps Best Practices with ServiceNow • Legacy Systems: The Blind Spot in Today’s Modern Platforms • Ironstream for ServiceNow • Demo • Q&A
- 4. AIOps best practices: Start with service-aware event management Sree Director, Product Management ServiceNow
- 5. 5 © 2019 ServiceNow, Inc. All Rights Reserved. Customers lack full visibility across their environments Source: ServiceNow Employees Development Partners Strategy IT Operations Services Customers
- 6. 6 © 2019 ServiceNow, Inc. All Rights Reserved. Legacy or point solutions can not drive productivity, agility or savings in operating all services Now Platform One data model to power all your digital services IT Service Management Service Catalog App Portfolio Management IT Financial Management Asset Management Security Operations Governance, Risk, Compliance Service Portfolio Management Operational excellence across the enterprise requires consistent service context and one data model 6 © 2019 ServiceNow, Inc. All Rights Reserved.
- 7. 7 © 2019 ServiceNow, Inc. All Rights Reserved. Gain visibility across your entire operational estate • Understand the impact of making an operational change • Maintain compliance • Obtain visibility into your services Source: ServiceNow Application performance tools Within and across infrastructure stacks Software licenses Data sources Event sources APIs, Cloud services On-Premises CMDB
- 8. 8 © 2019 ServiceNow, Inc. All Rights Reserved. Maintain trust and consistency in your CMDB Configuration Item (CI) Identification and Reconciliation (IRE) API CI Identification and Reconciliation API Horizontal Discovery Service Mapping Infrastructure Discovery and Mapping Automated Top-down Discovery Import Sets Third-Party Data Source Instead of directly updating the CMDB, different data sources call Identification and Reconciliation API to insert and update CIs CMDB
- 9. 9 © 2019 ServiceNow, Inc. All Rights Reserved. You manage application services, not just events, metrics, incidents or even applications A complete business-centric IT perspective ServiceNow Platform SecOps Vulnerabilities SAM Software Licensing ITOM Event Management Operational Intelligence Discovery and Service Mapping ITSM Incidents, Changes, Problems, Outages ITBM APM Application Risk Assessment CMDB ITBM PPM Project Impact Assessment Application Services Source: ServiceNow
- 10. 10 © 2019 ServiceNow, Inc. All Rights Reserved. 90+ integrations via store and ServiceNow Discovery Integrate all the data sources in your environments Security End Point Monitoring Technology Providers Storage Cloud NativeCloud CMDB Source: ServiceNow 10
- 11. 11 © 2019 ServiceNow, Inc. All Rights Reserved. IT operations teams are dealing with greater complexity • Explosion in data and resources • Multiple stacks Exposure due to poor visibility Source: “IDC, Analyze the Future 2017”—Stephen Elliott “The 10 Habits of Customer-Centric Organizations in the Age of Digital Business”, Gartner 2017
- 12. 12 © 2019 ServiceNow, Inc. All Rights Reserved. IT operations teams are dealing with greater complexity • Explosion in data and resources • Multiple stacks • Business uptime = service performance and uptime • Demanding SLAs Exposure due to poor visibility Service degradations Source: “IDC, Analyze the Future 2017”—Stephen Elliott “The 10 Habits of Customer-Centric Organizations in the Age of Digital Business”, Gartner 2017
- 13. 13 © 2019 ServiceNow, Inc. All Rights Reserved. IT operations teams are dealing with greater complexity • Explosion in data and resources • Multiple stacks • Business uptime = service performance and uptime • Demanding SLAs • Cost • Governance • Manual workflows Exposure due to poor visibility Service degradations Budget and governance constraints Source: “IDC, Analyze the Future 2017”—Stephen Elliott “The 10 Habits of Customer-Centric Organizations in the Age of Digital Business”, Gartner 2017
- 14. 14 © 2019 ServiceNow, Inc. All Rights Reserved. Traditional IT operations approach is laborious • Triage • Correlation • Build context • Root cause analysis • Remediation • Feedback 14 © 2019 ServiceNow, Inc. All Rights Reserved.
- 15. 15 © 2019 ServiceNow, Inc. All Rights Reserved. Artificial intelligence for IT operations How does AIOps help? IT operations functions Machine learning Big data and analytics Gartner AIOps platforms combine big data and machine learning functionality to support all primary IT Operations functions. © 2019 ServiceNow, Inc. All Rights Reserved
- 16. 16 © 2019 ServiceNow, Inc. All Rights Reserved. Three-phased AIOps approach Deliver business service health Reduce event noise Automate remediation and resolution Automated remediation Higher business service performance 1 2 3 Event correlation
- 17. 17 © 2019 ServiceNow, Inc. All Rights Reserved. Phase1: Event aggregation and correlation Event correlation using machine learning Services Users Applications Cloud Speed and efficiency Machine learning Historical and real- time data Natural language processing Learnings from human behavior Service context Better experiences using guided flows, intuitive interfaces and one console AIOps Engine Machine recommended actions Alert correlation Root cause analysis Reduce event noise Operational data sources
- 18. 18 © 2019 ServiceNow, Inc. All Rights Reserved. Identify potential business service outages Reduce number of P1 and P2 incidents • Intelligent elimination of event noise Outcomes Resolve service degradations • Identify and fix wide-spread performance issues quickly • Get intelligent data analysis IT Operations Management—Event Management Dashboard Use AIOps-driven alerting to identify business service degradation Phase 2: Better service health with AIOps
- 19. 19 © 2019 ServiceNow, Inc. All Rights Reserved. Materially reduce MTTR with AIOps applied to the entire consumption process—events to resolution Outcomes Alert prioritization and automated remediation using machine learning, service context, and real- time analytics Better operations experience driven through one console IT Operations Management—Alert Intelligence Prioritized Alert Materially reduce mean time to resolution Phase 3: Accelerate your path from events to resolution
- 20. 20 © 2019 ServiceNow, Inc. All Rights Reserved. The path to AIOps Healthy CMDB Integrate event sources Create events from alerts Become Service aware Auto remediate alerts
- 21. Syncsort Ironstream: Bridging the Gap Between Legacy Systems and ServiceNow 21
- 22. We build on legacy data… because it works! Traditional systems – including mainframes, IBM i servers & data warehouses – adapt and deliver increasing value with each new technology wave 91% of executives predict long-term viability of the mainframe as the platform continues evolving to meet digital business demands >100k companies today use IBM i technology to run significant workloads & power critical business applications $1.65trillion invested by enterprise IT to support data warehouse & analytics workloads over the past decade 22 BMC 12th Annual Mainframe Research Results – Nov. 2017 Wikibon “10-Year Worldwide Enterprise IT Spending 2008-2017”
- 23. Challenges of connecting legacy systems to modern data platforms Many data sources Mainframe: Configuration, performance and event data from operating system, CICS, Db2, IMS, MQ IBM i: Configuration, performance and event data from operating system, message queues, history logs, audit journal, application journals, libraries…. Format of data Mainframe: • Many disparate formats of data from the many data sources IBM i: • Different source types of data from message queues, performance collection, audit journal and application journals need to be integrated in a standard and relatable format. Data volumes • Large amount of configuration data • High volumes of event and performance data Timely insights • Need centralized or standardized data store for configuration data • Need determination of event data to identify priority events • Need ability to see relationships between events and configuration data 23
- 24. 24 Legacy systems are left out of today’s modern platforms Distributed and Cloud environments Mainframe and IBM i Systems IBM z Mainframe IBM i System
- 25. 25 Ironstream connects legacy systems to today’s modern platforms IBM z Mainframe IBM i System 360 degree view across the enterprise
- 27. • Rapidly configure and launch secure discovery of the IBM mainframe and IBM i resources and their relationships • Auto-populate and maintain the CMDB with all major IBM mainframe and IBM i Configuration Items (CIs) and their relationships • Map dependencies and assign relationships automatically • Intelligent automation reduces decision times and errors & increases productivity Ironstream Integration with ServiceNow® Discovery 27
- 28. MID Server 28 Ironstream for ServiceNow Architecture TCP z/OS or IMB i LPARInstance Operating System DB2 - MQ CICS - IMS Network Storage Ironstream Discovery Probes, Sensors, CI Classes Event Rules Ironstream Client Ironstream Agent
- 29. What does Ironstream for ServiceNow Discover? IBM i Environments • Local Storage with ASPs • Memory • LPAR • CPU • Network connectivity • Installed software • Selected system values • Subsystems • Active jobs • Job queues • Output queues • Libraries • Program objects IBM Mainframe Environments • DB2 -DDF, DSG, databases, table spaces and deep configuration data • Completed jobs • DASD storage • Storage groups • CICS -regions, transactions, programs • IMS -regions, databases, transactions, programs • MQ -managers, channels, queues • Memory • LPAR • CPU • Network connectivity • Installed IBM software 29
- 30. Ironstream Discovers Key Configuration Items (CIs) On the IBM i Environment • Local Storage with ASPs • Memory • LPAR • CPU • Network connectivity • Installed software • Selected system values • Subsystems • Active jobs • Job queues • Output queues • Libraries • Program objects On the IBM Mainframe Environment • DB2 -DDF, DSG, databases, table spaces and deep configuration data • Completed jobs • DASD storage • Storage groups • CICS -regions, transactions, programs • IMS -regions, databases, transactions, programs • MQ -managers, channels, queues • Memory • LPAR • CPU • Network connectivity • Installed IBM software 30
- 31. 31 • Monitors mainframe and IBM i systems & applications and forwards information to the ServiceNow Event Management Server • Customize and automate using ServiceNow Event Management alert rules • Filter and organize messages and alerts to focus attention to critical areas • Interfaces with IBM Resource Monitoring Facility (RMF) to collect and forward mainframe performance information • Two-way communication enables automated remediation of problems, controlled by your IT policies and configurations New! Ironstream Supports ServiceNow® Event Management MAINFRAME 1 MAINFRAME 2
- 32. Ironstream Support for ServiceNow Event Management Key Events & Alerts On the IBM i Environment • IBM i State • ASP State • Audit Journal Alerts • Job Queue State • Job/Subsystem State • Memory Pool Thresholds • Disk Activity Thresholds • Message Queue Alerts • MQ Series • TCP Connection Status • Output Queue State • Agent Connection • ….and many more On the IBM Mainframe Environment • System Console/Syslog Events • CICS Transient Data Queue Events • IMS Master Terminal Operator Events • Interval Monitoring • SMS Group Threshold Monitoring • MQ Manager, Channels, Queues • Active Jobs • RMF based Performance Monitoring • Custom Message Interface • Message Automation • Reliable TCP Communication • Heartbeat and positive message acknowledgement • Message Buffering • Command Console 32
- 33. Key Benefits • Improved quality of service: Experience outstanding availability and performance when you manage the IT infrastructure as a comprehensive ecosystem rather than separate domains • Reduced time to repair: Quickly and accurately prioritize and filter numerous events through a centralized Operations dashboard. Ironstream seamlessly integrates into ServiceNow’s AIOps-driven event correlation and alert intelligence • Increased productivity and reduced cost: Reduce duplication of effort expended on separate but related issues • Intelligently designed for minimal footprint and negligible system resource consumption • Investment protection: Leverage investments in ServiceNow and your IBM z/OS and IBM i environments, making them a significant part of a consolidated enterprise environment • Adaptability for your environment: Easy to customize to fit your environment and IT management processes 33 Ironstream for ServiceNow – Event Management Support
- 34. Seamless Integration Automation Comprehensive & Accurate Proven Get a 360-degree view of your entire IT infrastructure with ServiceNow Ironstream for ServiceNow 34
- 35. Demonstration
- 36. Q&A