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Integrating IBM Z and IBM i Operational Intelligence Into Splunk, Elastic, and Kafka

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Precisely
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Whether your organization is moving more IT operations to the cloud or enhancing its deployments on-premises, it’s critical to understand the impact of excluding essential data points from legacy systems has on your bottom line. That said, optimizing your cloud deployment isn’t just about cost reduction — it can also positively enhance how you deliver services to your business. Whether you are just getting started on your cloud journey or are looking to make more data available for your IT operations, Precisely Ironstream can help. In this on-demand webinar, learn how Precisely Ironstream helps customers make IBM Z platform and IBM i operational intelligence available in top cloud IT operational platforms like Splunk, Elastic, and Kafka. Join this webinar to learn: - Best practices for easily integrating IBM Z platform (mainframe) and IBM i operational metrics integrated into Splunk, Elastic, and Kafka - The operational and financial ROI of using Ironstream to integrate legacy systems into modern IT platforms - How Ironstream customers have benefited from bringing in IBM Z platform (mainframe) and IBM i machine/log data into Splunk, Elastic, and Kafka

Technology
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Integrating IBM Z and IBM i data into Splunk, Elastic, and Kafka Making a case for heritage tech in modern IT analytics operational platforms Ian Hartley | Product Management Director
Housekeeping Webinar 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 Q&A box Questions Welcome • Submit your questions at any time during the presentation using the Q&A box. If we don't get to your question, we will follow-up via email Recording and slides • This webinar is being recorded. You will receive an email following the webinar with a link to the recording and slides
Why IT analytics operational platforms? Unites and integrates data from across the enterprise, making data available for a variety of projects and business needs in one place
Examples of IT analytics operational platforms Elasticsearch is a trademark of Elasticsearch B.V., registered in the U.S. and in other countries. KAFKA is a registered trademark of The Apache Software Foundation Splunk is a trademark or registered trademark of Splunk Inc. in the United States and other countries.
What can you do with these platforms? Search and investigation Proactive monitoring Operational visibility Real-time insights
What are the benefits of an IT analytics operational platform? Visibility into usage, trends, projections Better operational & business insights Identify issues & anomalies (sooner!) Enhance security & compliance
Reality check: you have a blind spot! BLIND SPOT! IT Workflows Employee Workflows Customer Workflows Building Apps IT Operations Management IT Service Management IT Business Management IT Asset Management Service Management Governance/Risk Compliance
Value that IBM Z and IBM i brings • Better insight into applications running on core systems • Clearer security information on systems with sensitive data • Enhanced event correlation across systems Remove the “blind-spot” ®
What happens when IBM Z and IBM i are included? Real-time • Insights • Monitoring • Trends • Alerts! Improved • Identification (MTTI) • Resolution (MTTR) Eliminate • Blind spot • SME Dependencies • Homegrown solutions • Complexities
Real-time monitoring and alerts
Financial services company needed real-time alerts for monitoring and faster insights Top level mandate to: 1. Improve visibility into potential issues on core banking applications running on its mainframe platform 2. Limit the number of outages that could shut down online banking 3. Consolidating the delivery of real-time monitoring and alerts using Splunk Challenge: Mainframe could not natively integrate into Kafka for security monitoring
Precisely Ironstream makes mainframe available in real-time to Kafka Solution • Precisely Ironstream • Kafka Results • Decrease in the number of system outages from mainframe • Improved customer experiences due to limited disruptions to services • Proactive security monitoring of all systems • No more mainframe blind spots!
Improving MTTR
Bank looks to improve their IT operations Top level mandate to: 1. Drive continuous improvement of IT operations by reducing MTTR 2. Get mainframe log data into Splunk to follow compliance requirements of the industry 3. Improve the visibility and management of critical IT assets and systems Challenge: The mainframe was not visible in the company’s enterprise platform of choice, Splunk
Solution • Precisely Ironstream • Splunk Precisely delivers agile solution for Splunk and mainframe Results • Reduced MTTR • Machine data from mainframe is made available to critical stakeholders • Processes are now in compliance and delivered in a timely manner • Better insights and “heads up” on system issues
Remove homegrown solution complexities
Retail bank seeks reduce resource consumption and improve customer experience Top level mandate to: 1. Improve the performance of systems for customers using online banking portal 2. Visualization of systems being monitoring to determine resource consumption quickly and efficiently 3. Real-time data delivery to improve response time without increasing CPU consumption Challenge: Homegrown tools and skills gaps prevented the mainframe from being integrated into Elastic
Real-time delivery and visibility of the mainframe in Elastic Solution • Precisely Ironstream • Elastic Results • Improved transaction response time for current customers • Increased the number of new customers in banking system without a delay in transaction response time • Visualization of all systems using Grafana to quickly diagnose problems • Integrated the mainframe to Elastic without impacting CPU consumption
Lessons learned, putting into practice • Clearly define the goals of your efforts both technical and business facing • Are you trying to save costs, improve a business result, or something else? • Chose data integration solutions that allow you to enable complete visibility in your IT analytics operational platforms • New requirements for IT analytics operational platforms will require you to rethink how “it was always done” and may break current processes
Q & A
Integrating IBM Z and IBM i Operational Intelligence Into Splunk, Elastic, and Kafka

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Integrating IBM Z and IBM i Operational Intelligence Into Splunk, Elastic, and Kafka

  • 1. Integrating IBM Z and IBM i data into Splunk, Elastic, and Kafka Making a case for heritage tech in modern IT analytics operational platforms Ian Hartley | Product Management Director
  • 2. Housekeeping Webinar 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 Q&A box Questions Welcome • Submit your questions at any time during the presentation using the Q&A box. If we don't get to your question, we will follow-up via email Recording and slides • This webinar is being recorded. You will receive an email following the webinar with a link to the recording and slides
  • 3. Why IT analytics operational platforms? Unites and integrates data from across the enterprise, making data available for a variety of projects and business needs in one place
  • 4. Examples of IT analytics operational platforms Elasticsearch is a trademark of Elasticsearch B.V., registered in the U.S. and in other countries. KAFKA is a registered trademark of The Apache Software Foundation Splunk is a trademark or registered trademark of Splunk Inc. in the United States and other countries.
  • 5. What can you do with these platforms? Search and investigation Proactive monitoring Operational visibility Real-time insights
  • 6. What are the benefits of an IT analytics operational platform? Visibility into usage, trends, projections Better operational & business insights Identify issues & anomalies (sooner!) Enhance security & compliance
  • 7. Reality check: you have a blind spot! BLIND SPOT! IT Workflows Employee Workflows Customer Workflows Building Apps IT Operations Management IT Service Management IT Business Management IT Asset Management Service Management Governance/Risk Compliance
  • 8. Value that IBM Z and IBM i brings • Better insight into applications running on core systems • Clearer security information on systems with sensitive data • Enhanced event correlation across systems Remove the “blind-spot” ®
  • 9. What happens when IBM Z and IBM i are included? Real-time • Insights • Monitoring • Trends • Alerts! Improved • Identification (MTTI) • Resolution (MTTR) Eliminate • Blind spot • SME Dependencies • Homegrown solutions • Complexities
  • 11. Financial services company needed real-time alerts for monitoring and faster insights Top level mandate to: 1. Improve visibility into potential issues on core banking applications running on its mainframe platform 2. Limit the number of outages that could shut down online banking 3. Consolidating the delivery of real-time monitoring and alerts using Splunk Challenge: Mainframe could not natively integrate into Kafka for security monitoring
  • 12. Precisely Ironstream makes mainframe available in real-time to Kafka Solution • Precisely Ironstream • Kafka Results • Decrease in the number of system outages from mainframe • Improved customer experiences due to limited disruptions to services • Proactive security monitoring of all systems • No more mainframe blind spots!
  • 14. Bank looks to improve their IT operations Top level mandate to: 1. Drive continuous improvement of IT operations by reducing MTTR 2. Get mainframe log data into Splunk to follow compliance requirements of the industry 3. Improve the visibility and management of critical IT assets and systems Challenge: The mainframe was not visible in the company’s enterprise platform of choice, Splunk
  • 15. Solution • Precisely Ironstream • Splunk Precisely delivers agile solution for Splunk and mainframe Results • Reduced MTTR • Machine data from mainframe is made available to critical stakeholders • Processes are now in compliance and delivered in a timely manner • Better insights and “heads up” on system issues
  • 17. Retail bank seeks reduce resource consumption and improve customer experience Top level mandate to: 1. Improve the performance of systems for customers using online banking portal 2. Visualization of systems being monitoring to determine resource consumption quickly and efficiently 3. Real-time data delivery to improve response time without increasing CPU consumption Challenge: Homegrown tools and skills gaps prevented the mainframe from being integrated into Elastic
  • 18. Real-time delivery and visibility of the mainframe in Elastic Solution • Precisely Ironstream • Elastic Results • Improved transaction response time for current customers • Increased the number of new customers in banking system without a delay in transaction response time • Visualization of all systems using Grafana to quickly diagnose problems • Integrated the mainframe to Elastic without impacting CPU consumption
  • 19. Lessons learned, putting into practice • Clearly define the goals of your efforts both technical and business facing • Are you trying to save costs, improve a business result, or something else? • Chose data integration solutions that allow you to enable complete visibility in your IT analytics operational platforms • New requirements for IT analytics operational platforms will require you to rethink how “it was always done” and may break current processes
  • 20. Q & A

Editor's Notes

  1. Visibility - See the whole picture, track performance and make better decisions. Visualize usage trends to better plan for capacity; spot SLA infractions, track how they are being measured by the business. Insights - Make better-informed business decisions by understanding trends, patterns and gaining Operational Intelligence from your machine data. See the success of new online services by channel or demographic, reconcile 3rd 3rd-party service provider fees against actual use, find the heaviest users and heaviest abusers, and more. Identify – Get answers and gain new business insights and intelligence from machine data significantly faster than traditional approaches. Compliance – Helps to identify irregularities in systems and is important for monitoring security of those systems
  2. When it comes to implementing IT analytics platforms there is a level of complexity that exists across an enterprise Need to bring together systems from a variety of sources from the cloud to on-prem systems. However, even after going through and setting up your platform for use, you can still have blind spots with IBM Z and IBM i platforms that don’t natively fit into these IT analytics platforms [CLICK FOR ANIMATION}
  3. From speaking with Precisely customers and prospects, we have found these 3 things happen when it comes to integrating IBM Z and IBM i systems into their solutions
  4. This company wants to vastly improve its tracking and package visibility. They feel that they need to offer customers more visibility into the movement of goods. Pushing the status of goods to customer dashboards will give them the ability to provide more real-time location and updates to transit time and delivery. This concept is familiar to consumer shipping, we know when and where our package is in real-time, not so much when it comes to freight. To accomplish this, they needed data from disparate data sources, including DB2/z and SQL Server. They connect their legacy sources and their target Snowflake.
  5. This company wants to vastly improve its tracking and package visibility. They feel that they need to offer customers more visibility into the movement of goods. Pushing the status of goods to customer dashboards will give them the ability to provide more real-time location and updates to transit time and delivery. This concept is familiar to consumer shipping, we know when and where our package is in real-time, not so much when it comes to freight. To accomplish this, they needed data from disparate data sources, including DB2/z and SQL Server. They connect their legacy sources and their target Snowflake.
  翻译：