Intro to Datadog
Agenda
- Intro to Datadog
- Understanding Dashboards
- Working with Agents
- Integrating with AWS
What is Datadog
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Cloud monitoring and analytics platform
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Founded in 2010, now industry leader
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Unified platform for metrics, logs, and traces
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500+ integrations with various technologies
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Particularly strong for cloud and microservice
Why?
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Problem: Modern applications are complex distributed systems
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Challenge: When something breaks, where do you look?
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Solution: Comprehensive observability across the stack
Monitoring
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Tells you WHEN something is wrong
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Based on predefined thresholds
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Reactive approach
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Focused on known failures
Observability
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Tells you WHY something is wrong
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Enables exploration of unknown issues
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Proactive approach
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Handles unknown-unknowns
3 Pillars of Observability
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Metrics: Numerical time-series data (CPU, Memory, Response time)
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Logs: Detailed records of events with timestamps
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Traces: Request paths through distributed systems
Features
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Infrastructure Monitoring: Servers, containers, cloud services
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APM & Distributed Tracing: Application performance
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Log Management: Centralized logging
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Real User Monitoring (RUM): Frontend experience
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Synthetic Monitoring: Proactive testing
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Security Monitoring: Threat detection