2. #TechTuesday
Observability is the ability to
monitor, measure, and understand
the state of a system based on its
external outputs like logs, metrics,
and traces.
4. #TechTuesday
How Observability Works
Logs
Metrics
Traces
Logs can be used to create a high-fidelity, millisecond-by-millisecond
record of every event, complete with surrounding context, that
developers can 'play back' for troubleshooting and debugging purposes.
Metrics are fundamental measures of application and system health
over a given period of time, such as how much memory or CPU capacity
an application uses over a five-minute span, or how much latency an
application experiences during a spike in usage.
Traces record the end-to-end 'journey' of every user request, from the UI
or mobile app through the entire distributed architecture and back to
the user.
5. #TechTuesday
Difference Between
Observability and Monitoring
OBSERVABILITY MONITORING
Tells you why a system is at fault
Observability is a traversable map
It gives you complete information
Focuses on giving context to
the data
Observability creates the potential
to monitor different events
Acts as a knowledge base in
defining what to monitor
Gives a more complete assessment
of the overall environment
Focuses on monitoring the system &
discovering faults
Focuses on monitoring KPIs
Notifies you that a system is at fault
Monitoring is a single plane
It gives you limited information
Focuses on collecting data
Monitoring is the process of using
observability
7. #TechTuesday
Challenges to Observability
Implementation
Not knowing what
drives positive
business impact
Volume, Velocity,
and Variety of data
Siloed Infra, Dev,
Ops, Apps, and
Business teams
Complexity of
dynamic multi-
cloud
environments
Monitoring
microservices
and containers
8. #TechTuesday
Criteria for Good Observability
Tool
User friendliness Real-time data
integration with
current tools
Visualization of
aggregated data
Event-handling
capabilities
Provide context
Deliver
business value
Uses AI/ML
9. Thank you for
your time.
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