IT Operations Management · Bridging the gap to deliver mission-aware operations IT Operations...
Transcript of IT Operations Management · Bridging the gap to deliver mission-aware operations IT Operations...
Bridging the gap to delivermission-aware operations
IT Operations Management
Advisory Solution Architect,ITOM, ServiceNow Federal
Dave Deal
DoD Chief TechnologyOfficer, Microsoft
Sujit Mohanty
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Engage your Citizens
Empower your Employees
Optimize your Operations
Transform your Products
DigitalTransformation
3
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Citizen engagement, data-driven decisions, and mobility
Trends and drivers
4
devices with unique IP addresses connected
to the Internet**
30BGBs of data for every
person on Earth**
5,200people, two-thirds of
the world’s population, using social networks*
5B+
of government employees using multiple forms factors*
40%of people working outside the office*
80% 50%of BDA investment focusing
on citizen service, public health, and Smart Cities*
*WSJDigitalNetwork; **EMC Digital Universe with Research & Analysis by IDC
By 2020
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Develop, maintenance, and services spending: Government-wide
Government challenge innovation
This pie chart displays the percent of thegovernment-wide information technologyfunding spent on the following services:
Non-provisioned DMEDevelopment, modernization, and enhancementspending on non-provisioned services.
Non-provisioned O&MOperations and maintenance spendingon non-provisioned services.
Provisioned ServicesTotal spending on DME and O&M provisioned services.
20.9%
70.9%
8.2%
DME O&M Provisioned
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Analyze and make mission decisions
Acquire intelligence and sensor information
Execute mission objectives
Defense mission lifecycle
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Challenges facing Defense today
Fractured security approaches
Inability to leverage aggregated mission data
Siloed, disparate cloud environments
Lack of agility in deploying new capabilities
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Today’s Defense Mission demands agility
Deploy new capabilitiesand leverage AI to makedecisions rapidly
Store data forfuture insights
Ingest data at scalefrom the tactical edge
Analyze data in real-time
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Intelligent cloud
Intelligent edge
Serverless
Multi-device,Multi-sense
Artificial Intelligence
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Service degradation and outages hit profits and reputation
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Root cause analysis
Triage
Correlation
Buildcontext
Feedback
Remediation
Traditional IT Operations approach
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Guided Tours
Now Platform™Virtual Agent
Service Portal
Service Catalog
Knowledge Mgmt
Notify PushMobile
Connect
SupervisedMachine Learning
WorkflowFlow
Designer Integration Hub Orchestration CMDB
Visual Task
Board
Anomaly Detection Actionable
Analytics Time Series
Database
PeerBenchmarking
DelegatedDevelopment
AutomatedTesting
ServicePortal
Designer
Studio
INTELLIGENT APPS
Customer Service Mgmt
Field Services
Communities
CUSTOMER
SERVICE
Case & Knowledge
Onboarding& Transitions
Employee Service Center
Employee Document
HR
SecurityIncident Response
Vulnerability Response
Trusted Security Circles
Threat Intel
Risk
Policy & Compliance
Audit
Vendor Risk
SECURITY
AppPortfolio
Incident
Problem
Change
Release
Asset
Cost Walk Up
CSI
SW Asset Mgmt
SW Distribution
LicenseChangeProjections
Demand ProjectPortfolio
Resource
Agile Dev
Test Mgmt
Financial Planning
FinancialModeling &Charging
Event Mgmt
Service Mapping
Discovery
Orchestration
Cloud Management
Operational Intel
IT
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Artificial Intelligence for IT Operations
What is AIOps?
Big Data and Analytics
Machine Learning
IT Operations functions
AIOps platforms combine
big data and machine
learning to support IT
operations functions.
Gartner
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One data model to power all your digital services
Now Platform
IT Service Management
Service Catalog
App PortfolioManagement
IT FinancialManagement
Asset Management
SecurityOperations
Governance,Risk, Compliance
Service PortfolioManagement
Operational excellence across the enterprise requiresconsistent service context and one data model
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For business services deployed on-premises or cloud…
End-to-end solution
Health of businessservices, with AIOps
Visibility across operationsestate and all software
CMDB
Optimization of cloudand software spend
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Service-level visibility
Single Source
of Truth
Make operational decisions in the contextof your business service
Get continuously optimized view of services
Detect and remediate service drift (e.g., a known change or an unplanned change)
Automatically documents processes with post-incident review
Outcomes
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Service Health Dashboard
Deliver high-performance business services
Identify early warning ofpotential service outages
Improve end-user satisfactionwith fewer service disruptions
Identify root cause of issues quickly.Reduce event noise by 99%
Outcomes
Get a better operations experiencedriven by service-level intelligence
We are proactive and have reduced the number of high-impact incidents.
Time Warner
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AIOps methods and applications
Machine Recommended
Actions
AlertCorrelation
3rd PartyAction Engine
Root Cause Analysis
Predict Outages
Anomaly Detection
Intelligent Results Drive Action
Anomaly Detection
Aggregation
Temporal
Correlation
Clique Graphs
Regressions
Chow Liu
Cosine Similarity
TFID
AIOps Engine
Clustering
Bayesian Network
Event Sources
• Machine
• Network
• App/Transaction
• Configure Data
• API/Logs
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Comprehensive AIOps solution
Historical data
Service context
Platform analytics
Real time analytics
NLP
Learnings from
human behavior
Machine learning
Better experiences using guided flows, intuitive interfaces, one console
AIOps Outcomes using ITOM
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?Custom
Ingest event signals
De-duplicate
Consolidate into Alerts
Associate to CMDB CIs
ServiceNow instance
Connectors
Listeners MIDServer
Pull
Push
Normalizeformat
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Correlate alerts using machine learning
• Human-defined correlation
• Semi-supervised learning
• Temporal analysis
• Topological analysis
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Quickly determine at-risk business services
Prioritize by business impact
80%Reduction in outages
TransAlta
Increases insight to the status of business services through a single dashboard
Drive service uptime
Diagnoses and pinpoints issues
IT Operations Management—Event Management
Outcomes
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Deliver superior outcomes through AIOps with service-context
Real-time analytics
Historical data
Service context
Learnings from
human behavior
Natural Language Processing
98%* reduction in event noise
67%* reduction in P1and P2 incidents
50–80%* reduction in outages and service degradation
TransAlta
REST
AD, Exchange, SCCM, Windows
*nix,
MFT
CSM, Security Operations, ITSM, HR…
MID Proxy
Hub(JavaScript, REST)
Now on Now Accelerated remediation
Better experiences using guided flows, intuitive interfaces, one console
*Statistic reflects experience of selected ServiceNow customer(s)ServiceNow, the ServiceNow logo, Now, Now Platform, and other ServiceNow marks are trademarks and/or registered trademarks of ServiceNow, Inc. in the United States and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated.
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AIOps outcomes: Examples
Anomaly detectionFix widespread performance issuesMaterially reduce MTTR
Reduced noise in network dependencies
NPL driven smart searches
REST
AD, Exchange, SCCM, Windows
*nix,
MFT
CSM, Security Operations, ITSM, HR…
MID Proxy
Hub(JavaScript, REST)
Automated remediation
ServiceNow, the ServiceNow logo, Now, Now Platform, and other ServiceNow marks are trademarks and/or registered trademarks of ServiceNow, Inc. in the United States and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated.
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Remediate via automation
• Leverages ServiceNow platform Flow Designer and IntegrationHub to drive actions within and outside of ServiceNow
– Gather further details, e.g.,configuration, process info
– Open/close Incident records
– Restart/reset components
• Based on alert criteria, system can automatically initiate actions
• Relevant actions presented to Operator to initiate manually and observe results
REST
AD, Exchange, SCCM, Windows
*nix,
MFT
CSM, Security Operations, ITSM, HR…
MID Proxy
Hub(JavaScript, REST)
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Top takeaways
Digital transformation necessitates more
scale, including management scale.
1
AIOps amplifies human operational capacity to address
that demand.
2
AIOps can reduce noise, prioritize what matters,
speed root cause analysis and drive remediation.
3
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Planetary scale
• 54 Azure regions
• 27k miles of undersea fiber
• 78k miles of inner-city fiber
• 4500+ Peering locations
• 150+ Edge sites
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Glo
ba
lU
S G
ov
Ind
ust
ryR
eg
ion
al
HIPAA/HITECH Act
FERPAGxP21 CFR Part 11
ISO 27001 SOC 1 Type 2ISO 27018 CSA STARSelf-Assessment
SingaporeMTCS
UK G-Cloud
AustraliaIRAP/CCSL
FISC Japan
New Zealand
GCIO
ChinaGB 18030
EUModel
Clauses
ENISAIAF
Argentina PDPA
Japan CS Mark Gold
CDSA SharedAssessments
Japan MyNumber Act
FACT UK GLBA
SpainENS
PCI DSSLevel 1
MARS-E FFIEC
ChinaTRUCS
SOC 2 Type 2 SOC 3
CanadaPrivacy Laws
MPAA
PrivacyShield
ISO 22301
IndiaMeitY
Germany ITGrundschutz
workbook
SpainDPA
CSA STARCertification
CSA STARAttestation
HITRUST IG Toolkit UK
ChinaDJCP
ITARSection 508 VPATSP 800-171 FIPS 140-2HighJAB P-ATO
CJISDoD DISASRG Level 2
DoD DISASRG Level 4
IRS 1075DoD DISASRG Level 5
ModerateJAB P-ATO
ISO 27017
Trust in the cloud
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Data and AI
Applications and infrastructure
Private versus public cloud
Big data and machine learning
Disparate databases
Virtualization
Distributed hybrid cloud
Cognitive Services and AI
Connected data estate
Microservices and containers
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Common Identify
Data Platform
Management + Security
Unified Cloud Platform