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Process Analytics with Oracle BPM Suite 12c and BAM - OGh SIG SOA & BPM, 1st September 2015

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Lucas Jellema OGh SIG SOA/BPM – 1 September 2015 BPM Suite 12c Process Analytics with BAM
Transcript

Lucas Jellema

OGh SIG SOA/BPM – 1 September 2015

BPM Suite 12c Process Analytics with BAM

2

Overview

BPM Process

Business Dashboard

SLAKPI

Alerts

3

Overview

BPM Suite

SOA Suite

BAM

Out of the boxProcess Analytics

Reports & Dashboards

Custom Reports & Dashboards

BPM Process instances

BPEL Process instances

Process Analytics Star-Schema

4

Overview

BPM Suite

SOA Suite

BAM

Out of the boxProcess Analytics

Reports & Dashboards

Custom Reports & Dashboards

Custom Tables & Views

BPEL Sensor Data Schema

BPM Process instances

BPEL Process instances

Process Analytics Star-Schema

5

Overview

BPM Suite

SOA Suite

BAM

Out of the boxProcess Analytics

Reports & Dashboards

Custom Reports & Dashboards

Custom Applications

Custom Tables & Views

BPEL Sensor Data Schema

Custom ApplicationsCustom

ApplicationsCustom Applications

JMSJMS

BPM Process instances

BPEL Process instances

SCA Composite instances

Process Analytics Star-Schema

BI Integration

6

BAM 12c: Rearchitected

• Active-active high availability• Coherence used for report and

metadata cache• Cross browser support with ADF

data visualization• Continuous query processing with

built in OEP• Tightly integrated with BI

KPI

?

7

Design

• What do you (the business) want to keep track of– And why? (SLAs, opportunities, …)– How up-to-date does the insight need to be

(and how far back in time)• In order to monitor this

– What information should be presented and in what form?• Which data is required to construct the required

business view?– From where?– Filtering, aggregation, enrichment?

• How do we extract operational data from systemsand make it available for business monitoring?– Push or pull?– Transformation?– Real time or periodically?– Privileges? Impact?

DashboardReport

Business Information

Operational Data

Alert/Action

8

Implementation Steps

• Define meta-data for metrics to be published• Publish relevant operational data from processes

– Through declarative settings in BPEL/BPM process definitions– Leveraging the process analytics framework in BPM/SOA Suite

• Use out of the box & generated data objects in BAM– Possibly define new data objects

• Define business queries to select, filter, enrich and aggregate relevant data from data objects

• Define business views on top of business queries• Define dashboards composed from business views

– Possibly with specific business view parameter settings• (Arrange for redundant data to be discarded)

9

Preparation

• Enable Process Metrics at domain level– Set MBean oracle.as.soainfra.config.SoaServer1.AnalyticsConfig | analytics

property DisableProcessMetrics to false

10

Configuration

• Configure Generation of Analytics / Metrics at SOA Composite level

• Configure Generation of Analytics / Metrics at BPEL or BPM Process Level

• Configure at Activity, BPEL Scope or Sub process level– Through business indicators

11

Introducing the BPEL Process: AirportAccreditationServiceProcess

• Request accreditation to airport facilities for employees

12

Configure Generation of Analytics / Metrics at BPEL Process Level

• Inherit from SOA Composite level settings or override for the specific BPEL process

13

To start producing Analytics

• (Re)deploy SOA Composite– This will generate meta-data to Process Analytics Star Schema and produce BAM

Data Objects• Trigger execution of SOA Composite

– This will generate operational data into the Process Analytics Star Schema (data that is accessible from BAM)

• Note: this data is generic – not process specific– Count of number of executions of process and of activity– Duration (start time, end time) of process and activity execution– Current (and Final) Status of process and activity– But no business indicators that are special for the process

14

All Process Analytics are stored in SOA Infra database schema

BPEL Sensor Data Schema

Process Analytics Star-Schema

BPM_PV_PROCESS_DEFINITION_V BPM_PV_ACTIVITY_DEFINITION_V

BPM_PV_PROCESS BPM_PV_ACTIVITY

CUBE_INSTANCE

BPEL_PROCESS_INSTANCES BPEL_ACTIVITY_SENSOR_VALUES

15

BAM Data Object with some analytics data from process instances

16

Out of the box reports in BAM

17

Out of the box reports in BAM

18

Customization in BAM

• Custom Dashboards and Business Views (Reports)– On top of out of the box process analytics– Specialized per process

• Custom Process Specific Business Indicators– Dimensions – instance classifications to group by (customer, product, day of week)– Measures – values to calculate with, based on data in the process state– Intervals – sub sections of process to monitor for execution time– Counters – activities or scopes to count for number of executions– After (re)deploy – the metadata is loaded into Process Analytics start schema and the

Data Objects are available in BAM• Custom Business Views leveraging Custom Business Indicators

– Note: an out of the box report will (obviously) never use a custom indicator

19

Defining Business Indicators in the BPEL Process

• Specify Dimensions, Counters, Interval Measurement at project level• Then bind these business indicators for the BPEL process to collect more

specific information about this particular business process

20

BAM Composer

• Create (Physical) Data Objects in Administrator• Create Logical Data Objects, Business Queries, Business Views and

Dashboard & Alerts in Designer

21

Group by custom Business Indicator Requested Security Level

22

Create Business View

23

Create custom Business View using Business Query

24

Create custom Dashboard using custom Business View

25

KPIs

• Monitor Key Performance Indicators (and Critical Risk Factors) to learn about performance vs. SLAs– And about factors that indicate risk of missing SLA targets

• KPIs are defined initially in business terms– Then translated into data derivation and interpretation rules

• Typically a KPI will be a measurable, scalar value to be compared with a threshold or safe range

• Reporting on KPIs can easily be done with traffic lights, gauges, smiley’s etc.

26

BAM KPI Watchlist

• KPI: Number of Requests per hour (should be <= 6)– When exceeded: send email!

• Steps:– Add custom derived attribute TIME_IN_SECONDS_SINCE_STARTED

• DATEDIFF(SQL_TSI_SECOND,{Process Start Time}, NOW())

– Add business query AccreditationRequestsStartedInLastHour• Filter: TIME_IN_SECONDS_SINCE_STARTED is less than 3,600

– Create KPI • Evaluate business query every minute• Set threshold• Define action

– Add KPI Watchlist component for KPI to Dashboard

27

Customize Data Object: add derived attribute

• Add custom derived attribute TIME_IN_SECONDS_SINCE_STARTED to Data Object AirportAccreditationServiceProcess– DATEDIFF(SQL_TSI_SECOND,{Process Start Time}, NOW())

28

Define KPI

• Create KPI - RecentAccreditationRequestsKPI– Set type, select measure and business query– Set schedule: evaluate business query every minute– Set threshold value: 6– Define action on threshold violation (send email)

29

Business View KPI Watchlist

• Create Business View AirportAccreditationKPIWatchlist of type KPI Watchlist

30

Dashboard – alert in action

• Add Business View to Dashboard• Start sending in (too many) requests

31

Process Analytics from BPM

BPM Suite

BAM

Out of the boxProcess Analytics

Reports & Dashboards

Custom Reports & Dashboards

BPM Process instances

Process Analytics Star-Schema

32

Introducing the business process:Security Check Process

33

Preparation per BPM Project (== SOA Composite)

• Analytics View Identifier is used for name of database views that expose analytics for this project

• Explicitly enable generation of BAM 12c Analytics

34

Preparation per BPM Process

• Per Process: define level of process sampling (== analytics generation)– Can be overridden per process activity

35

BPM Business Indicators

• Define business indicator bindings: every business indicator is a Process Data Object in its own right

• We have to explicitly set the values of the data objects (using data associations)

• The BPM runtime infrastructure takes care of sending the values assigned to these ‘special’ data objects to the Process Analytics DWH

36

Explicitly assign values to business indicator data objects

• Whenever in the BPM process a data assignment is made to a business indicator data object – a record will be written to the process analytics DWH

37

Measurement Marks

• Measurement Marks are added to the process to measure intervals, count execution times and (explicitly) record business indicator values

38

Real Time BAMEnterprise Message Resource

• On top of Enterprise Message Resource (== JMS)• Read from JMS through inbound BAM Adapter

– Supports Text Message with XML payload and Map Messages

SOA Suite

BAM

Custom Reports & Dashboards, KPIs,

Alerts

Custom ApplicationsCustom

ApplicationsCustom ApplicationsCustom

Applications

JMSJMS

BPEL Process instances

SCA Composite instances

BAM adapter

Enterprise Message Resource

Business Query Continuous Query

Custom Tables & Views

39

Real Time BAMContinuous Query Service

• On top of Enterprise Message Resource• Is a wrapper around CQL engine (from OEP)• Real time event stream evaluation

– Pattern matching, missing event detection, trend analysis, rolling window aggregations, threshold evaluation

– Event Stream can be archived for off-line analysis

SOA Suite

BAM

Custom Reports & Dashboards, KPIs,

Alerts

Custom ApplicationsCustom

ApplicationsCustom ApplicationsCustom

Applications

JMSJMS

BPEL Process instances

SCA Composite instances

BAM adapter

Enterprise Message Resource

Business Query Continuous Query

Custom Tables & Views

Copyright © 2014 Oracle and/or its affiliates. All rights reserved.

Improved Complex Query Capability and PerformanceProcessing Tier (BAM with Complex Event Processing Engine)• A pure push system based on CEP Engine (Continuous Query) with event

sources and event sinks - supports both stream (non-persistent) and archived relation (persistent).

• CQ (Continuous Query) Service implemented using Oracle Event Processing CQL Engine

• Real-time incremental computation including statistical functions like: mean, median, variance, std dev.

• Temporal (slide window and output throttle) and pattern match (e.g. trending, missing events, etc.) capabilities

• Common Query Generator

• One Storage Engine per target system to generate platform specific DML (e.g. Oracle DB, OBIEE Logical SQL)

• For Active Queries, snapshot is sent from CQ Service to Report Cache followed by incremental changes

40

Copyright © 2014 Oracle and/or its affiliates. All rights reserved.

Embedded CEP

Missing Event

Top “N” Detection

KPI Alert

Trending Detection

Moving Aggregate

Duplicate Detection

• Template based CEP pattern authoring– Trend Analysis– Temporal Queries– Combined Analysis

on streaming & relational data

• Risk Monitoring– Key Risk Indicators

for KPIs– Proactive

remediation

Operational Intelligence

42

Continuous Query definition

43

End-to-End DecouplingEDN – OEP – JMS - BAM

44

Process Monitor

• Process monitor dashboards in Business Process Management Workspace– enable you to monitor and optimize process execution by identifying bottlenecks and

other performance problems.– Part of

45

BPM Workspace

• BPM Workspace – standard and custom dashboards– Oracle recommends: do not extend with custom dashboard; use BAM instead

BPM Process Model Process Aware BI Dashboards

BPM STAR Schema Map BPM STAR Schema to BI Model

Process Intelligence using Oracle OBIEE

47

Summary

• BPM and BPEL process analytics can be generated as the result of declarative definitions– Generic operational data about instances and activities– Tailored metrics using process specific business indicators

• All process analytics are stored in a single, unified database schema– That can be (read) accessed with plain SQL

• BAM has out of the box support for the Process Analytics data objects– And ships with a substantial set of business views and dashboards to present the

process analytics from various view points• Creating custom data objects, business queries, views and dashboards is

fairly easy to do– KPIs are supported too – as well as actions on threshold violations

• BAM supports continuous queries for real time event analysis against events published on JMS destinations– Custom applications can publish these events

• It all starts with business requirements: what do you need to know & why?


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