5063 - it operations analytics bridging business and it
TRANSCRIPT
ObjectivesThe ability to meet customer demands now and in the future is a critical function in any business. Being caught by surprise by spikes in IT demand from the business could mean you are not just leaving money on the table, but also not meeting your customers' needs.
See how to collect, organize and convert infrastructure data into business-relevant information, and how solutions from IBM can help you to:
1. Describe and understand current state;
2. Predict future trends and growth; and
3. Provide prescriptive optimization recommendations to address gap analysis or anomaly detection "what-if" scenarios.
The insight you gain will allow you to better handle the business dynamics of the applications that consume IT infrastructure resources.
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IT Operations Analytics Business Analytics
Analytics based on corporate data to gain insights for business initiatives.- customer buying patterns- using tool such as SPSS, Cognos
Operational AnalyticsAnalytics as part of transaction processing, aka OLTAP – OnLine Transactional and Analytics Processing.- Fraud detection on a banking transaction- IDAA usage with z/OS
IT Operations AnalyticsAnalytics against machine data to make IT systems smarter,and IT teams more efficient
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Search & Analyze: Quickly search and analyze large volumes of data from a single search bar Perform log and performance analysis while searching Correlate messages from multiple logs for end-to-end problem diagnosis
Predict: Pro-Active Outage Avoidance Predict problems before they occur
Optimize: Improve performance across IT Infrastructure
IBM is focused on managing end-to-end analytics for improved performance and workload management
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IBM Analytics solutions for z Systems
PredictIBM zAware
zOI
Proactive Outage Avoidance
Search & AnalyzeIBM Operations Analytics for z
Systems
Faster Problem Resolution
OptimizeIBM Capacity Management
Analytics (CMA)
Optimized Performance
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The Capacity Management domain addresses three levels of maturity.
Business Capacity Management (BCM): This sub-process is responsible for ensuring that the impacts of future business requirements for IT services upon IT infrastructure resources are considered, planned, and implemented in a timely fashion
Service Capacity Management (SCM): This sub-process is the management of the performance of the IT services (applications) used by the customers. It is responsible for ensuring that the service performance is monitored, measured and reported; and meets business requirements and agreements
Component Capacity Management (CCM): This sub-process is the management of the performance, utilization, and capacity of individual IT infrastructure components possessing finite resources
ITIL® refers to these three levels as Capacity Management sub-processes.Capacity Management is included in ITIL® process framework. 4
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Elements of Demand Management a main source of business demand used by Capacity Management to develop capacity forecasts and solutions.
Excerpted from “Service economics” chapter of itSMF publication for ITIL® V3 core documents, 2008-12-15.
Conceptual View
Business processes are the primary source of demand for services.
Patterns of business activity (PBA) influence the demand patterns seen by the service providers (Figure5.23)
It is very important to study the customer’s business to identify, analyse and codify such patterns to provide sufficient basis for Capacity Management.
Visualize the customer’s business activity and plans in terms of the demand for supporting services
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…and…add ITIL V3 Service Strategy Demand Management for ‘sense and respond’ alignment with client Business Transformation
ITIL® Demand Management Key Activities:• Establish Demand Management framework• Value and classify business demands• Consolidate business demand patterns and
forecasts• Forecast service demand• Identify and plan demand management
initiatives• Assess and report demand management
outcomes• Evaluate demand management
performance
Capacity Management translates business demand through to the component level.
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Several tasks in the Demand Management process need to be driven by Capacity Management to obtain improved capacity requirements and forecasts.
Demand Mgmt. Process Activity
Demand Mgmt. Process Task
Relationship with Capacity Management
Note: This is a minimal subset to provide input to Capacity Management Value and Classify Business Demands
Identify and Analyze Business Demand Streams and Demand
Work with business areas to gather business demand information, analyze types of demand in business terms and obtain trend of the demand - For customers of IT, internal and external
Forecast Service Demand Create Business Demand Forecasts
Work with business areas to create forecasts of business demand for major business areas
Assess & Report Demand Mgt.
Identify Service Demand Baselines
Determine existing baselines for service demand for given business areas
Forecast Service Demand Translate Service Demand to Service Consumption Units
Convert service demand into service consumption units for the business areas
Forecast Service Demand Translate Business Demands to Service Demands
Take business demand data and results and identify demand for specific IT services
Forecast Service Demand Create Service Demand Forecasts
Take the Service Demands and create forecast for the required IT services (input to “Model and Size Capacity Requirements” and “Produce and Maintain Capacity Plan”
The Analytics Maturity Model also has three levels of progression.
Analytics is a means to an end:But its value comes from the decisions it enables
It is OK to start with reportingBut think about the decisions you want to enable
Data Insight Action
DecideAnalyze
Predictive Analytics• What will happen?
Descriptive Analytics• What has happened?
Prescriptive Analytics• What should we do?
Business Value
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SEARCH & ANALYZE
AIX Servers
DISCOVER | FORECAST | OPTIMIZE(DESCRIPTIVE | PREDICTIVE | PRESCRIPTIVE)
Application ArchitectChief Architect
IT Manager
WindowsLinux Servers
z Systems
DATA CENTER
Capacity Management Analytics (CMA)
Z Software Middleware Stack
Capacity Management Domain Expert ModulesSystems
Management & Optimization
Software Cost Analysis
Capacity Planning and Forecasting
Problem Identification
Application Analytics
SystemAdministrator
Capacity Planner
CMA provides modular built-in expertise for the capacity management domain that turns machine/infrastructure data to actionable insight.
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Several significant new capabilities were announced with CMA v2.1 covered in Session #5068: .
CMA Platform
CMA Solution Kit Modules
Cognos BI
DB2
CPLEX
TDS for z/OS
Modeling &Optimization
Systems Management &
Optimization
Software Cost Analysis
Capacity Planning and Forecasting
Problem Identification
Application Analytics
IBM DB2 Analytics
Accelerator
UserDefined
Extensible Report Templates
SPSS Model
Data Collection, Scheduling & Automation
Reporting & Visualization
SPSS
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CMA’s five modules of provide built-in expertise to enable progression of both Capacity Management and Analytics Insight.
IT Analytics can be used to tap into the rich set of readily available
infrastructure data
coupled with
application metrics
…and with
business metrics
…to progress from
Descriptive
to Predictive
to Prescriptive INSIGHT & ACTION!
Cap
acity
Man
agem
ent M
atur
ity
BU
SIN
ESS
(by
Indu
stry
) C-Suite &
IT M
anagers
Personas
SER
VIC
E:Ap
plic
atio
ns
Developers,
ApplicationArchitects
CO
MPO
NEN
T:In
fras
truc
ture
Capacity Planners,
Infrastructure Architects
DESCRIPTIVE PREDICTIVE PRESCRIPTIVE
Capacity Analytics Insight & Action
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Question: Are you getting the most out of your zIIP engines?• System z Integrated Information Processor (zIIP)
& System z Application Assist Processor (zAAP)
• Specialty processors have lower hardware acquisition costs and zIIP’s & zAAP’s don’t impact software pricing based on capacity
IBM Capacity Management Analytics
Question: Are you getting the most out of your mainframe?• Prescriptive recommendation of LPAR
Policy
• Analyze whether utilization is over/under your guaranteed share
• What-if analysis of different target demand workload to make best use of available capacity.
Systems Management & Optimization
Systems Management and OptimizationLPAR Weight Optimization Run Result
Systems Management & Optimization
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Systems Management and OptimizationOver/Under Shared Weight – CPC by LPAR
Systems Management &
Optimization
Determine available white space by comparing target “demand” workload against total workload.
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IBM Capacity Management Analytics
Dynamically select your standard formula for capacity planning or compare between formulas to find the one that best fits your requirements.
CMA uses predictive analytics to help organizations use their data to make better decisions by drawing reliable, data-driven conclusions based on past and current events.
Future capacity requirements can be forecasted to help ensure that sufficient capacity is available when the business needs it.
Capacity Planning and Forecasting
Question: Would I have enough capacity to handle my business growth in the next three months?
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Answers cost questions such as:
• How much MSU is consumed in LPAR(s) and where is the billable peak? Which products contribute to the peak and by how much MSU?
• How much should be billed on the whole z machine (CEC) for SCRT cycles? or other date ranges?
• What is the total billable MSU and cost for all z machines in an enterprise?
Better manage z/OS software costs Identify where and when workloads need to be adjusted Determine when additional capacity is required
Software Cost Analysis
IBM Capacity Management Analytics
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Software Cost Analysis – Three Scenarios
Optimized: Suggest alternative LPAR / product configurations to take advantage of white space and reduce billable MSU where possible.
Observed: Track product MSU usage and costs at LPAR and Server level, identifying peak intervals and tracking 4 hour rolling average (4HRA).
Forecasted: Predict future MSU and cost usage based on forward utilization model.
Software Cost Analysis
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4-part series on “Exploring Analytics to Enable the Business and Service Value of Capacity Planning”• Part 1 - Introduction to Analytics for Capacity Planning
– Published in the Computer Measurement Group Journal => CMG Journal Issue 134, Summer 2013
• Part 2 - Analytics and the Capacity Management Information System (CMIS)
– Published in => CMG Journal Issue 136, Spring 2014
• Part 3 - Analytics Techniques in Capacity Management: Forecasting and Modeling
– Published in => CMG Journal Issue 137, Winter 2015
• Part 4 – VisualizationTarget for Spring or Summer 2016
Co-Author AcknowledgmentsAnn Dowling, Senior Offering Manager – CMA, Analytics Solutions, IBM - [email protected] Rudden, STSM, Optimized Services, IBM - [email protected] Zolotow, Distinguished Engineer, Global Technology Services, IBM - [email protected] van Sprang, Analytics Architect, Global Business Services, IBM - [email protected]
IBM Capacity Management Analytics @ Interconnect 2016
IBM Capacity Management Analytics on turns machine data to actionable insight and provides built‐in expertise in capacity management.-------------------------------------------------------------------------Meet us at Interconnect 2016NZS‐5068 : Introduction to Capacity Management Analytics
Session Type : Breakout SessionDate/Time : Mon, 22‐Feb, 04:30 PM‐05:30 PMVenue : Mandalay Bay SOUTHRoom : Mandalay Ballroom B
-------------------------------------------------------------------------NZS‐5063 : IT Operations Analytics = Bridging Business and IT
Session Type : Breakout SessionDate/Time : Thu, 25‐Feb, 10:30 AM‐11:15 AMVenue : Mandalay Bay SOUTHRoom : Mandalay Ballroom B
‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐NZS‐5807: Explore IT Analytics Use Cases with IBM Capacity Management Analytics
Session Type: Scheduled LABDate/Time: Wed, 24‐Feb, 08:30 AMVenue:Room:
CMA: IBM’s ease-of-use analytics solution• A workspace with greater power, intuitive navigation and cleaner look • Pixel perfect reporting• Advanced Filtering• Seamlessly shift to more advanced analysis interaction • Communicate your analysis using Microsoft Office• Analytics on the go with Mobile devices and disconnected interaction
What’s new with IBM CMA V2.1?• Application Analytics• LPAR Weight Optimization• Software Cost Analysis• Anomaly Detection for CICS• Dynamic Capacity Formulas• System Management• Capacity Planning and Forecasting
To learn more about IBM Capacity Management Analytics, visit us at: http://www-03.ibm.com/software/products/en/capacity-management-analytics
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www.analyticszone.com
CMA ContactsAlvin Cho - [email protected] Dowling - [email protected] g Jebaraj [email protected] Tsao - [email protected] Anaya - [email protected] Evans - [email protected]
CMA Technical SalesNA Tech SalesAnalytic on z System Technical Sales Mgr
Ben DeVivo ‐ [email protected] Technical Professional
Avard Hart ‐ [email protected] Kamath ‐ [email protected] Babiak ‐[email protected]
Technical Sales SpecialistsNorman Hollander – [email protected] Moore – [email protected]
NA Technical Solution ArchitectsTechnical Solution Architect, Business Analytics
Michael Schapira ‐[email protected]
UKI:Melanie Chilvers ‐[email protected] Hoogerboord ‐ [email protected] Lowe ‐[email protected]
Germany:Patrick Unger ‐ [email protected]
Spain:Santiago Cantero Fernandez ‐ [email protected]
LATAMAnalytic on z System Technical Sales Mgr
Aroldo Y Yai ‐ [email protected]
Client Technical ProfessionalAnderson da Silva Sforcini ‐ [email protected] Leonor Golia ‐ [email protected] Arellano ‐ [email protected]
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ITOA Sessions
Session number Title Speakers
3957 Batch Job / Scheduling Analytics using IOAzSundaraveul Shanmugam, IBMAlbee Jhoney, IBM
4440 A Look Into How IBM zAware Improves AvailabilityChris Brooker, IBM Anuja Deedwaniya, IBM
4463 IBM zAware Client ExperienceChris Brooker, IBM Anuja Deedwaniya, IBM
4532 Bringing Real-time SMF Data to Life with ITOA for z Systems Alan Place, IBM & Barry Klutz, IBM
4561 IBM Operations Analytics for z Systems Client Experience Barry Klutz, IBM
5063 IT Operations Analytics = Bridging Business and IT Ann Dowling, IBM
5068 Introduction to Capacity Management Analytics Ann Dowling, IBM
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Customer Feedback Roundtables
• 6318 Common IT Operations Analytics Platform– In this roundtable session we will discuss the current state and the roadmap of IBM IT Operations Analytics platform. Are you putting IT
Ops Analytics to work for you, allowing your staff to work faster and smarter and manage your environment better? Discuss how the must-have IT Ops Analytics tools will save you money and enhance your credibility (as regards SLAs) by cutting the mean time to repair significantly. We'll discuss how to look at your data through Insight Packs while permitting machine intelligence to assist in facilitating your environment.
• 6319 Roundtable: IBM System z, built for cloud – In this roundtable, we will discuss how your needs are changing as pressure to adopt cloud service models increase. The
focus will include, how to offer traditional System z services in a platform as a service, or software as a service model. How to enable end users to request resources in a self-service manner. What options are available to enable z/OS resources to participate in a hybrid cloud application. Provide feedback on what cloud scenarios for IBM System z are being considered in your organization, and what challenges exist that could be removed to make this transition less difficult.
• 6326 z Software Monitoring/Automation Futures– In this roundtable, we will discuss your needs in the Service Management Suite for z/OS that includes comprehensive
OMEGAMON monitoring and System Automation for z/OS capabilities. The focus will include IBM Service Management Unite, the suite's new web user interface that integrates performance monitoring, automation and log analysis, simplifying problem identification, problem isolation and service restoration. We want to hear your opinions about how Unite should be enhanced in the future. What kind of workloads need to be managed? Are there essential functions you need to lower your operational risk or manage IT costs? How should z Systems strategies such as mobile, DevOps, cloud or API management be factoring into our solution?