high value business intelligence for ibm platform compute environments

© 2015 IBM Corporation1 © 2015 IBM Corporation

High Value Business Intelligence for IBM Platform compute environments


IBM Platform Analytics - OverviewArchitectureDemonstration

© 2015 IBM Corporation3

High Value Big Data Business Intelligence for IBM Platform compute environments

Real Time

Historic

What is IBM Platform Analytics?

Provides insight into the data center

Collects a vast array of transactional level data

Processes data at transactional level – retain granularity

Merge business and external data to increase value

Highly extendable, scalable and infinitely flexible

Workload

BusinessUse

Cost

Utilization


Why is it important to have insight into these environments?

1. Costs - HPC environments are expensive Purchase Costs of Compute, Storage, Networking, … Data centre space, power and cooling Staff Administration Application Licenses

2. Operational Challenges - Capacity, Configuration, Expenditure, Planning How are resources being utilized? How much resource is required for different projects and applications? Where are the bottlenecks? Where is the spare capacity? What additional resources do we need to meet business requirements? Application Performance?

3. Business Challenges - Productivity, Costs, Time to Market, Competitive Edge How is the HPC environment being used by each part of the business? Are high value projects getting the resources they require? What is the true cost of compute of the business projects? How much does it cost in terms of compute resource and financial costs to design product X? How much cost is required to meet our future business challenges


Generic Customers - Insight Requirements

Capacity Planning

Historical workload analysis for better planning

Provide evidence to support future spend

Size license pools effectively

Better negotiate licensing costs

Cluster Configuration

Is workload executing in a timely fashion

Can a change in IBM Platform LSF policies improve my throughput

Is my IBM Platform Symphony resource plan configured correctly

Workload Analysis

How much workload is running through my cluster

Which users and projects use the most resources

Workload profiling

Internal Charge Back

Charge for slot usage

Charge for memory usage

Charge for license usage

Cost of idle capacity

Efficiency

Workload failures

Application efficiency


Data and Scalability Challenges

BIG DATA

How to collect and store this data?

How to query this data? How to report on this data How to get value from this

data?

Complex workloads

Large user base

Many applications

Multiple geographic locations

Large workload throughput

High cost to run the environmentsBusiness data

Business specific reporting requirementsReal time analysis

Business billing

Thousands of hosts

Multiple clusters


How IBM Platform Analytics Works

Raw metrics are loaded from IBM Platform LSF cluster and license servers

Raw data is transformed into a rich report data BI visualizations provide interactive dashboard to

analyze the data Automation controls the processing of the data,

management of historic data and scheduling of static reports

An Extensible solution allows adding of external data to enhance capabilities

Better workload policies Ensure high value workload gets the resources it

requires Optimize resource levels to reduce costs i.e.

Commercial Licenses Identify opportunities to pool and better share

resources Identify workload failure trends Identify efficient and in efficient workload Charge Back modelling


Column Based Analytics Database is tuned to support loading and ad hoc query of huge amounts of data:-X86 Based – No proprietary hardware requiredHorizontally scalable – more data, add more nodes

ETL processes data into data rich ready Report Tables ROLAP BI Technology so dashboards interface directly with the data

source (no OLAP cubes) Easy to build and customize reports (quickly) - Every customer has their

own required view of the world Automatically process business level value to reports Framework to collect “whatever” from “wherever”

How IBM Platform Analytics Deals with Volume and Flexibility

DATA VOLUMEFlexibility


Cluster 1

Platform Analytics Database

N+1 Technology

Platform Analytics Data Collection Platform Analytics Storage

IBM Platform Analytics Server

IBM Platform Analytics Architecture


Select Dashboard

Date / Time Filters

Dimension Filters

Interactive worksheets – Click and Filter

Report Parameters

Drill up / down through data

Workbook Overview


Report Solutions

Workload accounting

Workload statistics

Cluster capacity

Hardware

Memory requested vs. used

Job statistics

Pending reasons

FlexLM license usage

FlexLM denials

FNM license usage

FNM license denials

FNM workload accounting

Chargeback

Business


IBM Platform Analytics Summary

Platform Analytics

• Flexible and scalable high-value Business Intelligence Tool

• Tightly integrated with IBM Platform LSF, IBM Platform Symphony products

• Real time, historic and transactional level data

Why Platform Analytics?

Identify, report and validate resource allocationsQuantify workload and performance

Identify failures and inefficienciesCalculate true cost of compute for applications

Merge with business dataBuild charge back models

Reduce costs Better utilize resourcesImprove efficiency Chargeback


Thank You!

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