Maximize IT Operations Observability With IBM i In Splunk
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Splunk’s powerful IT operations analytics platform helps you optimize the performance and availability of IT systems and applications, while controlling IT costs and resources. However, IBM i systems have been left out of most Splunk environments because the machine data they generate is unique and requires specialized skills to work with. Ironstream collects and feeds IBM i log data to Splunk, ensuring a true 360-degree view of your IT landscape. Having this view into all your systems in one tool allows you to predict, prevent, and fix problems fast, all while optimizing your investment in these large systems. Join this on-demand webinar to learn how customers turn IBM i log data into real-time insights with Ironstream for Splunk. During this session you will see: - Key customer use cases in IT Operations Analytics - Challenges of integrating IBM i log data in Splunk and how to overcome them - Demo of Ironstream for Splunk leveraging IBM i data sources
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Maximize IT Operations Observability With IBM i In Splunk
- 1. Maximize IT Operations Observability with IBM i in Splunk® Ian Hartley | Senior Director, Product Management Andrew Farley | Sales Engineer
- 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. Agenda • What is “observability”? • How this relates to Splunk • IBM i in this context • Some examples • Demo • Q & A
- 4. “Observability” • What is that? • Why should I care about it? Is this good? Is this normal?
- 5. “Observability” Gartner’s definition… “Observability is the evolution of monitoring into a process that offers insight into digital business applications, speeds innovation and enhances customer experience. I&O leaders should use observability to extend current monitoring capabilities, processes and culture to deliver these benefits.” Gartner – Innovation Insight for Observability – 28 September 2020
- 6. “Observability” Gartner’s definition… “Observability is the evolution of monitoring into a process that offers insight into digital business applications, speeds innovation and enhances customer experience. I&O leaders should use observability to extend current monitoring capabilities, processes and culture to deliver these benefits.” Gartner – Innovation Insight for Observability – 28 September 2020
- 7. “Observability” Gartner’s definition… “Observability is the evolution of monitoring into a process that offers insight into digital business applications, speeds innovation and enhances customer experience. I&O leaders should use observability to extend current monitoring capabilities, processes and culture to deliver these benefits.” Gartner – Innovation Insight for Observability – 28 September 2020
- 8. “Observability” Gartner’s definition… “Observability is the evolution of monitoring into a process that offers insight into digital business applications, speeds innovation and enhances customer experience. I&O leaders should use observability to extend current monitoring capabilities, processes and culture to deliver these benefits.” Gartner – Innovation Insight for Observability – 28 September 2020
- 9. “Observability” Gartner’s definition… “Observability is the evolution of monitoring into a process that offers insight into digital business applications, speeds innovation and enhances customer experience. I&O leaders should use observability to extend current monitoring capabilities, processes and culture to deliver these benefits.” Gartner – Innovation Insight for Observability – 28 September 2020
- 10. “Observability” Gartner’s definition… “Observability is the evolution of monitoring into a process that offers insight into digital business applications, speeds innovation and enhances customer experience. I&O leaders should use observability to extend current monitoring capabilities, processes and culture to deliver these benefits.” Gartner – Innovation Insight for Observability – 28 September 2020
- 11. “Observability” Gartner’s definition… “Observability is the evolution of monitoring into a process that offers insight into digital business applications, speeds innovation and enhances customer experience. I&O leaders should use observability to extend current monitoring capabilities, processes and culture to deliver these benefits.” Gartner – Innovation Insight for Observability – 28 September 2020
- 13. IT Observability 3 things… 1. Visibility
- 14. IT Observability 3 things… 1. Visibility 2. Agility
- 15. IT Observability 3 things… 1. Visibility 2. Agility 3. IT resilience
- 16. IT Observability 3 things… 1. Visibility 2. Agility 3. IT resilience 3 pillars of observability Logs Metrics Traces Observability
- 17. How does this relate to Splunk?
- 18. “Observability is a measure of how well we can infer or answer any question about the state of our systems (infrastructure, services, etc.) using their telemetry data (metrics, traces and logs)” Splunk – 12 Immutable Rules of Observability
- 19. How this relates to Splunk “Optimize performance with full stack visibility, predictive intelligence and automated remediation.”
- 20. How this relates to Splunk “Optimize performance with full stack visibility, predictive intelligence and automated remediation.” 1. Observability starts with data
- 21. “Optimize performance with full stack visibility, predictive intelligence and automated remediation.” 1. Observability starts with data Logs Metrics Traces How this relates to Splunk
- 22. “Optimize performance with full stack visibility, predictive intelligence and automated remediation.” 1. Observability starts with data 2. Observability gets us to answers fast How this relates to Splunk
- 23. “Optimize performance with full stack visibility, predictive intelligence and automated remediation.” 1. Observability starts with data 2. Observability gets us to answers fast This IS good This IS normal How this relates to Splunk
- 24. “Optimize performance with full stack visibility, predictive intelligence and automated remediation.” 1. Observability starts with data 2. Observability gets us to answers fast 3. Observability is critical to your culture and business strategy How this relates to Splunk
- 25. “Optimize performance with full stack visibility, predictive intelligence and automated remediation.” 1. Observability starts with data 2. Observability gets us to answers fast 3. Observability is critical to your culture and business strategy How this relates to Splunk Performance Insights Availability Cost
- 26. “Optimize performance with full stack visibility, predictive intelligence and automated remediation.” 1. Observability starts with data 2. Observability gets us to answers fast 3. Observability is critical to your culture and business strategy How this relates to Splunk Observability is a critical business investment, especially when seconds of downtime can cost millions of dollars. Performance Insights Availability Cost
- 27. This applies to IBM i
- 28. • IBM i often one piece of larger systems • Remains a mission-critical platform • Lots of data, lots of processes • be part of the enterprise view • Cannot be ‘siloed’ Bring IBM i into the “observability” context • Uplevel KPIs into observability context • Gain greater visibility • Improved agility (MTTI, MTTR) • Include in “observability” strategy
- 29. Observability Delivered to Splunk Powered by Ironstream® Visibility into usage, trends, projections Better operational & business insights Identify issues & anomalies faster! Enhance security & compliance
- 30. Many Options • IT Operations Analytics (ITOA) • IT Operations Management (ITOM) • IT Service Management (ITSM) • Security monitoring • Etc.
- 31. Demo
- 32. Q & A
Editor's Notes
- Good morning…good afternoon…good evening…and hello. Welcome…and thank you for joining. In this session we are going to take a look at getting IT metrics for operations and security into today’s modern analytics platforms and tools. Some of you may be doing a little of this already…and others may just be curious. Hopefully…I will show you a little of what is possible in the short time that we have in this session. This is a large and broad topic so I will only skim the surface. If you have any questions or would like to see a demo…please feel free to reach out to me via the contact details you see on the screen. With that…let’s get going.
- Let’s unpack that statement because there is a lot in there. I&O = Infrastructure and Operations
- Let’s unpack that statement because there is a lot in there. I&O = Infrastructure and Operations
- Let’s unpack that statement because there is a lot in there. I&O = Infrastructure and Operations
- Let’s unpack that statement because there is a lot in there. I&O = Infrastructure and Operations
- Let’s unpack that statement because there is a lot in there. I&O = Infrastructure and Operations
- Let’s unpack that statement because there is a lot in there. I&O = Infrastructure and Operations
- Let’s unpack that statement because there is a lot in there. I&O = Infrastructure and Operations
- But what is behind this need for analytics platforms and tools? In the context of IBMi this can be driven by several things. This platform has been around for a while and key staff may be retiring…plus the new kids on the block take a different view of things. They often have a different perspective and expectations about how things work. In recent years there has also been a fundamental shift towards having a comprehensive…across-the-enterprise…view…with the emergence of Network and Security Operations Centres. These up-level essential metrics into a single pane of glass view for system and service status and health…from across all parts of the the business. And over time…systems have also become more complex. Some organizations may be running totally on the IBMi, but many are using IBMi as part of wider, more complex architectures…especially as we bring public internet facilities and cloud environments into the mix. IBMi is still mission-critical for many companies…processing large volumes of data and handling significant processing loads. So it just makes sense to bring this platform in-line with the other moving parts of the business. IBMi should not be off to one side. Its an important part of an organization’s IT.
- IT operations and security use cases can all be played across these tools and platforms. Even combinations of these many different use cases. From simple visibility…to operational insights…finding issues and resolving them quickly before your customers are aware…to improving your security, compliance and audit posture. These are all possible…at your own pace…and in-line with your common or even unique requirements.
- IT operations and security use cases can all be played across these tools and platforms. Even combinations of these many different use cases. From simple visibility…to operational insights…finding issues and resolving them quickly before your customers are aware…to improving your security, compliance and audit posture. These are all possible…at your own pace…and in-line with your common or even unique requirements.
- Well…this is where the fun starts. This is where a new world of insights becomes reality. Using the destination analytics platform or tool of your choice…you can exploit metrics in many different ways….across all the different functional categories. From ITOA through ITOM…Service Management to Security. Its all possible. …and with some terrific tooling too.