AIOps: The Next Generation of ITOA...AIOps: The Next Generation of ITOA AIOpsExchange –San...
Transcript of AIOps: The Next Generation of ITOA...AIOps: The Next Generation of ITOA AIOpsExchange –San...
AIOps: The Next Generation of ITOAAIOps Exchange – San Francisco | May 2019 | Charles O’Keefe (VP Enterprise Monitor ing & Engineering)
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Today’s Modern Technology Landscape
Infrastructure (Physical, Virtual, Network, InfoSec, Containers, Mainframe)
Cloud (Public/Private – IaaS, PaaS, SaaS)
In-house Applications (Java, Node, .Net, Go, etc.)
COTS and Open Source
Databases
Middleware
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Sample Application Interaction
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A scalable monitoring strategy/transformation includes …
Ecosystem of Tools Training
Enterprise CultureCustomer Focus
Artificial Intelligence Data Quality
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Commonly Used Technologies and Techniques
Application Performance Management
Logging (Stack Traces, Events, etc.)
Metrics
Tracing
Infrastructure (CPU, RAM, Disk)
Real-User Monitoring
Synthetic
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ITOA:
The Customer Journey / End-to End Observability
Decompose each application into business capabilities (e.g. website registrations, purchases, etc.)
Utilize logging, metrics, and tracing to build dashboards of the data flow from the CUSTOMER’S point-of-view
Monitor based on patterns to detect anomalies and trends
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The industry has moved beyond human scale
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How Does Amex Synthesize What Is Important?
Artificial Intelligence for IT Operations (AIOps)
• Ingest the event• Normalize data• Enrich the event• Dispatch to de-duplicate event• Utilize ML to correlate• Refine the models
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Culture Data Quality Matters
Customer Training
Amex has learned …
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Charles O’KeefeVP, Enterprise Monitoring Tools & Engineering