Bringing AIOps to Hybrid Cloud Monitoring and Management

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Artificial intelligence for IT Operations is purpose-built to ingest large sources of data from infrastructure and point tools, and produce actionable insights on root-cause analysis and incident remediation. How do you bring these innovations to an enterprise ecosystem that’s also in the middle of cloud migration and overall digital transformation? You will learn: How artificial intelligence can transform your hybrid monitoring practice, making it more proactive and business-service-centric than ever before How to build towards a unified and coordinated approach to IT operations management and IT service management Key insights and tangible ideas for getting buy-in on your eventual adoption of AIOps, making for a smooth transition to the future Learn about the OpsRamp platform: https://www.opsramp.com/the-opsramp-platform/ Learn about service-centric AIOps: https://www.opsramp.com/solutions/service-centric-aiops/ Read our blog: blog.opsramp.com Download the State of AIOps Report: info.opsramp.com/state-of-aiops Calculate your cost savings: opsramp.com/ROI

Technology

Bringing AIOps to Hybrid Cloud
Monitoring and Management

DigitalTransformation Is a Balancing Act
3

Modern, Hybrid IT: Infrastructure Is Everywhere
4
• Proliferation of Cloud and Cloud
Native Services
• Resource-Centric to
Workload-Centric
• IT Decentralization/DevOps
Escalating Costs

• Business is not waiting for IT
• Sourcing external IT service
providers
• Does IT set the standards
Today, Every Business Unit Is aTechnology Startup
5

But,There’s a Massive Skills Gap In Enterprise IT

IsThisThe Future ofThe Hybrid Enterprise?
7
• Swivel-chair IT Ops
• Point tool sprawl
• Paralysis by analysis
• Administrative silos
• Unprepared IT teams

AIOps Can Be a Competitive Advantage
Auto Remediation
Auto Routing
Alert Suppression
Artiﬁcial Intelligence for IT Operations: Predictive Processing on
Historical Big Data for Uniﬁed IT Operations and Service Management
8

Bringing AIOps
Into Hybrid Environments
10

Phase 1: Lay the Groundwork For A Data-Driven Organization
11
• Establish goals
• Set the desired end-state
• Put the analytical framework in place
• Establish the data science team

Phase 2:Tune the Data Signal
12
• Which workloads matter?
• What services require machine
learning insights?
• Which cloud services make
the most sense?
• Conﬁgure your instrumentation
Agents
Gateways
Synthetics
• Deﬁne your inference models

13
Phase 3: Rolling OutThe Solution
What insights are most meaningful?
Who acts on those insights?
ITOM
ITSM
How do you drive business impact?
BuildYour Data-Driven Culture

Bringing AIOpsTo Hybrid IT
15
Pre-Migration
• Set Goals
• Establish the
Analytical
Framework
Migration
• Tune the
Algorithms
• Configure the
Instrumentation
• Identify the
Service
Post-Migration
• Establish the
Who, When and
How?
• Drive Business
Impact
• Build the
Data-Driven
Culture

Connect With Us
info.opsramp.com/state-of-aiops
Blog.OpsRamp.com
16

Connecting with OpsRamp
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Customers migrating workloads to AWS have a variety of tools to monitor their infrastructure, generating large volumes of alarms from services such as Amazon CloudWatch, AWS Config, and other third party tools. Without careful curation, events and tickets can exponentially multiply and overwhelm ITSM systems and the teams operating them, obscuring real problems and wasting time. Using advanced Machine Learning techniques, customers can reduce noise from these events and tickets and increase their service quality. In this presentation, we explore challengs of adopting AIOps, and provide examples of how AIOPs can be used to reduce Mean Time To Restore and improve customer outcomes

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Historically, IT operations management (ITOM) teams have been focused on system health and up-time, while separately, IT service management (ITSM) teams manage and remediate end-user issues. The silos between these two functions have spurned challenges that can be overcome with improved integration, collaboration, and transparency across practices. ITSM and ITOM teams are working toward the same goals of up-time, accessibility and improved customer experience. So why can’t they integrate better for delivering on these objectives? In this presentation, we explore: The cause and business impact of silo'ed ITSM and ITOM practices The benefits of improving integration, collaboration, and transparency across practices Ways for you to exploit the inefficiencies and key metrics you can present the business in advocating for a better solution And, we’ll introduce the solution of platform thinking, where silos are broken down between IT practices, and technology is operated and managed as a unified front with an open framework of adaptability. Learn how to present a better solution for improving IT efficiencies, delivering improved customer experience, and enabling innovation throughout your organization, by bringing ITSM and ITOM practices together. ITOM Platform features to look for if ITSM integration is important to your organization: SERVICE HEALTH MANAGEMENT: Unified discovery and intelligence, Live asset Inventory, Unified service performance, Visual workflows in service maps AIOPS MACHINE LEARNING: Intelligent event correlation, Noise suppression, Situational awareness, Incident Response INTEGRATED TICKETING REQUESTS: Automated Escalations, Comprehensive Incident Collaboration POLICY AUTOMATION SCRIPTS: Out of the box scripts, Customize scripts SERVICE REMEDIATION: Enforce Process Governance, Automated Remediation Policies, Secure Infrastructure Access Learn more at https://www.opsramp.com Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more: Twitter - https://www.twitter.com/OpsRamp LinkedIn - https://www.linkedin.com/company/opsramp Facebook - https://www.facebook.com/OpsRampHQ/

ITSM and ITOM Coming Together

OpsRamp

The Summer 2019 Release introduces OpsQ Observed Mode to build confidence in machine learning models for IT event and performance analysis. It also includes automated alert suppression to reduce human time spent on first-response to alerts, continuous learning-based alert escalation using live event data, and new infrastructure monitoring capabilities for cloud native environments. Watch our on-demand webinar to see all the new enhancements to the platform, including: OpsQ Observed Mode: OpsQ Observed Mode helps incident management teams assess the accuracy of the OpsRamp machine learning algorithms in a live production environment before they take effect. Learning-Based Auto-Alert Suppression: OpsQ looks for recurring alert patterns in production environments and suppresses those alerts that occur at a predictable cadence. OpsQ uses seasonality-based and attribute-based auto-alert suppression techniques as a first-response mechanism. Service and Topology Maps: The Summer 2019 Release introduces new impact visibility and service context features that deliver dynamic relationship data for public cloud services and actionable insights for understanding cross-site interconnections. Cloud Native Discovery and Monitoring: DevOps and site reliability engineering (SRE) teams can now monitor popular open source applications used in cloud native environments and access relevant performance insights for Mesosphere and Azure Stack in the OpsRamp platform Learn more at https://www.opsramp.com Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more: Twitter - https://www.twitter.com/OpsRamp LinkedIn - https://www.linkedin.com/company/opsramp Facebook - https://www.facebook.com/OpsRampHQ/

OpsRamp Summer 2019 Platform Update

OpsRamp

Download the State Of AIOps report here - https://info.opsramp.com/state-of-aiops Bringing AIOps to IT Operations and Service Management. Live Webinar: Wednesday, May 15th, 11 AM PT / 2 PM ET AIOps is taking IT infrastructure management by storm. Join us as we review the findings of our State of AIOps report and discuss how machine learning is delivering more proactive monitoring, alert management, and incident remediation for both service management and digital operations teams. Learn how OpsRamp integrates with ITSM tools to improve service availability and performance without swapping screens. We'll address: ITSM Integrations. Manage your entire incident lifecycle with actionable insights so that you can prevent IT outages and reduce downtime for critical issues. Proactive Monitoring. Drive system health, availability, and performance with policy-based monitoring for IT services hosted on data centers and public clouds. Improved Service Maps. Drive better context for IT outages and restore services faster with a real-time picture of your applications and supporting infrastructure. AIOps-Powered Alert Inferencing. Use machine learning for faster incident identification and better situational awareness with contextual and enriched alerts.

OpsRamp Webinar - State of AIOps for Incident Management and Beyond

OpsRamp

Take Action Faster With Context And Insight. OpsRamp helps digital operations teams drive resilient and responsive IT services by discovering topological relationships between resources at multiple levels in the increasingly hybrid and multi-cloud IT stack. In this webinar you’ll get an overview of Winter Release, including demonstrations of features to drive greater efficiency within modern IT operational environments: Application Topology. OpsRamp discovers more than forty popular enterprise applications and establishes topological relationships between application components and infrastructure. Hypervisor Topology. OpsRamp discovers virtual machines, hypervisor servers and clusters in VMware vSphere and KVM environments and their relationships. Enhanced Service Maps. Representing logical IT services, OpsRamp service maps now have a new user interface that makes it easy to identify underlying resources behind an IT service outage so that operations teams can hone in on the right course of action to restore services. Auto-Incident Creation and Routing. Automatic incident creation and routing using alert escalation policies to auto-assign incidents based on prior alert, incident, and notification data. Machine learning-driven alert escalation uses specific learned patterns (assignee groups, business impact, urgency, and priority) to route incident assignments for different types of alerts. Augmented Training for Inference Models. OpsRamp’s machine learning-based inference models correlate alerts linked by a common cause using historical alert data. Opsramp’s OpsQ now allows users to augment these models with additional user-provided training data. With such augmented training, IT operations teams can bootstrap OpsQ to recognize alert sequences that are uncommon in everyday operations, but important to identify when they occur. Frequency-Driven Alert Escalation. OpsQ now supports policies to escalate alerts based on how often an alert has recently occurred. With frequency-based alerting, operations teams can filter out alerts that flap only occasionally and escalate alerts that flap repeatedly. Cloud Native Monitoring. Discover and monitor Kubernetes environments across on-prem and cloud services like Azure Kubernetes Services, Google Kubernetes Engine, and Amazon Elastic Container Service for Kubernetes.

Introducing the OpsRamp Winter Release, January 2019

OpsRamp

The bottom line heading into 2019? The future of infrastructure is everywhere. You must adapt, rethink your organization (people, process, and technology), and how you achieve this while still keeping the lights on. In the short term, it will be critical to impose order on chaos. In the longer term, it’s all about ensuring agility, moving to a “product orientation,” and partnering with the business to deliver better digital customer experiences. Check out the full blog here: https://blog.opsramp.com/aiops-gartner-iocs

10 IT Infrastructure & Operations Trends for 2019

OpsRamp

3 Transformations Driving IT Today

OpsRamp

Driving Digital Transformation through Service-Centric AIOps. Reduce the noise with artificial intelligence. To learn more about how OpsRamp can help you manage the unmanageable, visit us at - https://www.opsramp.com Also, follow us on social media channels to learn about product highlights, news, announcements, events, conferences and more - Twitter - https://www.twitter.com/OpsRamp LinkedIn - https://www.linkedin.com/company/opsramp

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More cloud enhancements. A brand new AIOps inference engine. More of what you need for digital transformation. Enterprise IT teams can better support their CEO's digital transformation agenda with OpsRamp 5.0. Our latest enhancements introduce advanced capabilities for cloud visibility and spend management, intelligent event correlation, service-oriented management, and self-service reporting for the right digital operational insights. These new OpsRamp innovations enable enterprise IT teams to work faster, more focused, and most importantly, provide even more support to the business.

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Bringing AIOps to Hybrid Cloud Monitoring and Management

1. Bringing AIOps to Hybrid Cloud Monitoring and Management

2. DigitalTransformation Is a Balancing Act 3

3. Modern, Hybrid IT: Infrastructure Is Everywhere 4 • Proliferation of Cloud and Cloud Native Services • Resource-Centric to Workload-Centric • IT Decentralization/DevOps Escalating Costs

4. • Business is not waiting for IT • Sourcing external IT service providers • Does IT set the standards Today, Every Business Unit Is aTechnology Startup 5

5. But,There’s a Massive Skills Gap In Enterprise IT

6. IsThisThe Future ofThe Hybrid Enterprise? 7 • Swivel-chair IT Ops • Point tool sprawl • Paralysis by analysis • Administrative silos • Unprepared IT teams

7. AIOps Can Be a Competitive Advantage Auto Remediation Auto Routing Alert Suppression Artiﬁcial Intelligence for IT Operations: Predictive Processing on Historical Big Data for Uniﬁed IT Operations and Service Management 8

8. How is AIOps Currently Being Used? 9

9. Bringing AIOps Into Hybrid Environments 10

10. Phase 1: Lay the Groundwork For A Data-Driven Organization 11 • Establish goals • Set the desired end-state • Put the analytical framework in place • Establish the data science team

11. Phase 2:Tune the Data Signal 12 • Which workloads matter? • What services require machine learning insights? • Which cloud services make the most sense? • Conﬁgure your instrumentation Agents Gateways Synthetics • Deﬁne your inference models

12. 13 Phase 3: Rolling OutThe Solution What insights are most meaningful? Who acts on those insights? ITOM ITSM How do you drive business impact? BuildYour Data-Driven Culture

13. Bringing AIOpsTo Hybrid IT 15 Pre-Migration • Set Goals • Establish the Analytical Framework Migration • Tune the Algorithms • Configure the Instrumentation • Identify the Service Post-Migration • Establish the Who, When and How? • Drive Business Impact • Build the Data-Driven Culture

14. Connect With Us info.opsramp.com/state-of-aiops Blog.OpsRamp.com 16

15. Connecting with OpsRamp opsramp.com/whatsnew

16. ThankYou! OpsRamp.com #ControlTheChaos