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#TechTuesday
What is
Observability ?
#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.
#TechTuesday
The Three Pillars of Observability
METRICS
TRACES LOGS
#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.
#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
#TechTuesday
Benefits of Observability
Continuous
Data Monitoring
Better System
Health
Topology
Information
Enhanced
Customer
Experiences
Advanced Root
Cause Analysis
Automatic
Discovery and
Instrumentation
#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
#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
Thank you for
your time.
#TechTuesday www.Gleecus.com
hello@gleecus.com
Contact us:

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What is Observability and how is it different from Monitoring?

  • 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.
  • 3. #TechTuesday The Three Pillars of Observability METRICS TRACES LOGS
  • 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
  • 6. #TechTuesday Benefits of Observability Continuous Data Monitoring Better System Health Topology Information Enhanced Customer Experiences Advanced Root Cause Analysis Automatic Discovery and Instrumentation
  • 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. #TechTuesday www.Gleecus.com hello@gleecus.com Contact us: