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Jeff Hart M2 Technology. 2. IT Situational Awareness. 3. Situational Awareness. Theoretical model of situation awareness, Dr. Mica Endsley , 1995. 4. Gathering Perception. Baseline Discovery. Inventory Hardware. Discover Environment. Identify Devices. Inventory Software.

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jeff hart m2 technology
Jeff Hart

M2 Technology

2

IT Situational Awareness

situational awareness

3

Situational Awareness

Theoretical model of situation awareness, Dr. Mica Endsley, 1995

gathering perception

4

Gathering Perception

Baseline Discovery

Inventory

Hardware

Discover

Environment

Identify

Devices

Inventory

Software

Recognize

Applications

Track

Usage

perceiving current status

5

Perceiving Current Status

Combining Top Down and Bottom Up Metrics

Organization

Organization

Status

Probe1

Mission

Mission

Probe2

N/W

SYS

APPS

Other

N/W

SYS

APPS

Other

Probe3

ProbeX

Switch1

Server1

Process

DNS

perceiving context

6

Perceiving Context

Beginning to define service models

automating application mapping

7

Automating Application Mapping

Automated mapping of what you have and how it relates

B2B

Ordering

CSO

Accounting

Business Process Model

Retail store

Accountspayable_app

Customer support_app

Shipping_app

Accounts receivable_app

Order_app

Layer 2-7 of the OSI Model

Physical Data Center

foundation of comprehension

8

Foundation of Comprehension

Building comprehension from perception

Application Performance Management

Run-time

Service Model

Infrastructure Performance Management

Integrated/Federated

3rd party CMDB

HP CMS

creating context

9

Creating Context

Event mapping to CI‘s in the Run-Time service model

  • Relationship of events to dynamically updated CIs
  • Events and discovery / topology data are brought together
  • End-to-end visibility of infrastructure and alerts by showing relationships of events to CIs and business services that are impacted
  • Shows CIs in context

BSM Platform

Run-time Service Model hosts auto-discovered CIs

Event consolidation through OMi

bringing clarity to complexity

10

Bringing Clarity to Complexity

TBEC – Topology Based Event Correlation

Efficiency gains per advanced event causal correlation

Cause

Cause and Symptom

Use case addressed by TBEC:

Something goes wrong in your environment

Monitoring reports multiple problems via events

Usually just one of the events describes the CAUSEof the problem

Others are just SYMPTOMS

Fix the CAUSE and also the SYMPTOMS go away

Symptom

automating correlation service model management

11

Automating Correlation & Service Model Management

The “T“ in TBEC - rules based on topology

  • Adaptive correlation – support for dynamic environments without addingadministrative burden

Current discovered Topology utilized to correlate related events

Cause

Related events analyzed to determine SYMPTOMS and CAUSE.

Symptoms

As new CIs and relationships are automatically discovered, the TBEC rules are automatically applied. Experts define the rules ONCE and do NOT have to go back and update when the infrastructure changes

automatic prioritization of events

12

Automatic prioritization of Events

Based on Business / Mission Context

Event Priority

  • is calculated based on severity and business / mission impact.

CI business impact

is calculated based on Business Criticality of all affected business services, applications and business process CIs and eg. SLAs.

Event that affects business service of criticality 4 gets higher priority than event that affects business service of criticality 2.

customized console

13

Customized console

Optimize use of staff resources

  • Optimized use of operations staff resources
  • Mash-up UI:
  • Gallery allows user to compose new pages using provided components

Role based consoles

Operator Perspectives: Operator can configure his own operator console with the information he needs for his daily tasks

projection of future status

14

Projection of Future Status

HP Service Health Analyzer (SHA)

Predictive Analytics

Anticipate problems before the business is impacted and prevent downtime

Automatically correlate information from multiple domains

Reduce cost of handling events by proactively investigating anomalies

Self learning system

operational analytics

15

Operational Analytics

Proactive Risk Reduction by fusing IA and Ops

SECURITY

User Provisioning

Identity & Access Mgmt

Database Encryption

Anti-Virus, Endpoint

Firewall, Email Security

#1

SEE

EVERYTHING

#3 Act Appropriately

Proactive

Risk Reduction

IT OPERATIONS

User Management

App Lifecycle Mgmt

Information Mgmt

Operations Mgmt

Network Mgmt

#2 Provide

Context

#1

SEE

EVERYTHING

operational analytics1

16

Operational Analytics

A unified approach to solving IT Operations Management (ITOM) problems

Advanced Correlation

Advanced Analytics

Operations Analytics

Proactive Monitoring

Event Triage

Log Management

Reactive Monitoring

Unknown Problems

Known Problems

service health analyzer powered by rtsm

17

Service Health Analyzer powered by RTSM
  • End-User Experience
  • Transactions
  • App Diagnostics
  • Business metrics

Application

Performance

Management

  • Service Health Analyzer

Run-time Service Model

Comprehensive, automated and up-to-date model for dynamic services

  • Server
  • Network
  • Virtualization
  • 3rd party

Infrastructure

Performance

Management

projection of future status1

18

Projection of Future Status

SHA detected a problem and sent alert one full hour before the service failed

Early morning: Metric performing within baseline

1

11:00am: Metric violates threshold

3

10:30am - SHA detects an anomaly and sends out an alert\event

11:30am: Service is now unavailable…

4

2

implementing the ops bridge

19

Implementing the Ops Bridge

Value to the Organization

Experts

  • Experts
  • Can focus on mission / business initiatives
    • Less time spent on day to day operations tasks
    • Less time spent on administration
    • Are able to add incremental value to operations more rapidly
  • Spend less time working on day to day operations
  • Spend less time maintaining operational solutions
  • Optimize time engaged in evolving operational solutions
  • Maximize time spent on strategic activities

Efficiency

Workload

  • Reduce false alarms.
  • Work on causes and not symptoms.
  • Enable co-operative cross-domain working
  • Focus on what matters to the business
  • Handle a higher proportion of incidents without escalation
  • Fix issues more rapidly
  • Streamline incident management activities
  • Operations
  • Are more effective at day to day operations activities
    • Continued control of OpEx
    • Higher efficiency – lower MTTR
    • Higher Service levels

Tier 1 Operators

questions

Questions?

Contact Information:

Jeff Hart, M2 Technology Enterprise Software Specialist

Jeff.hart@m2ti.com

202-595-1917

thank you

Thank you

Contact Information:

Jeff Hart, M2 Technology Enterprise Software Specialist

Jeff.hart@m2ti.com

202-595-1917