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That is a huge question :) I see it as an evolution of monitoring. Which has always been a crucial aspect of fast moving #DevOps environments.

Observability is the culmination of DevOps "measure everything", it helps drive decisions be it business, IT or monitoring based on all that rich data that your systems generate #DevOps #SKILupDay #Observability

@DObservability in DevOps is a state of being for applications, pipelines and infrastructures in which information and insights that are important to customers and stakeholders are visible and actionable.EVOPSINST

Observability is about understanding what are systems failure modes, how data and insights can be leveraged to iterate and improve the system #DevOps #Skilupday

Telemetry everywhere means we can respond to problems better but also that our work is more visible and we can extend this to value realisation

unfortunately the term " #Observability " has been a members only club. But that is our fault - we need to speak about it in terms of how do you keep pace with modern app velocity.

@Observability, a more recent addition to the engineering lexicon, speaks to this need, and refers to the monitoring, tracking, and triaging of incidents to prevent downtime.DEVOPSINST

First and foremost #observability means we can 'see' something. That in itself is difficult for some organisations to provide the right level of #visibility needed.

#Observability is what you can within the system without getting inside and make informed decision outside. #devops

@simonejomoore How's the storm? @lynxman can hear it over here!

For me it is can we see and measure how work flows through our systems. Are they observable? Do we have gaps?

@BealHelen Brewing strongly. Windows/doors blowing open, you can feel the electricity and pressure building.

@simonejomoore Whoa … see you later guys - lightening.

Have to remember observability not just as technical but observing and measuring human behavior

- In a failure mode - figuring out what's going on just by looking at the outputs: that’s when we need Observability.

The App should be the guide, but it is not one or the other. It is an evolution of approaches.

They both cover different aspects, I'd say both are equally important #SKILupDay #DevOps #observability

Observability is about more than just monitoring your system - it's about understanding it.

They are compatible but monitoring tech by imposing apriori structures on the underlying data streams makes it unable to work easily with systems that are highly modular, dynamic, and ephemeral.

You achieve #observability based on available data for the system intended to be monitored, then #monitoring becomes the task of data crunch and visualization. I say, #observability, #monitoring, and Analysis are the pillars to provide actionable analytics.

monitoring and observability are interdependent. However observability is more powerful than monitoring alone because of he higher level insights .that observability provides.

Both are connected. While monitoring talks about fact related to prior happening, observability deals with uncertainty with contextual and conversational insights

Would it be like data -> information -> knowledge. telemetry -> monitoring -> observability

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Can you have observability without monitoring? Is monitoring the foundation for fulfilling an observability mindset? Is observability a culture or a tool?

monitoring is the physical function allowing one to observe. More , transparency should be th output of obsevability

@HoardingInfo however the questions comes in what to focus if given the option to choose from.

nice flow of events here Peter.

First comes gathering the data then saying if that data is true, what happens next?

as much as you can afford and interpret in a timely manner

@CappelliWill shouldnt be about imposing structure but about collecting available data and interpreting

Automation requires the ability to respond to situations as they arise. This, in turn, requires the ability to see patterns, make predictions on the fly. That is where observability comes in with AI the link between data and automation.

Real time observability for IT systems depends on automated aggregation and analysis of monitoring data into insights

#observability needs to be made better & mature as we go by. How can you do it ? Many Ways. Automation is just one of them. #devops

Observability is culture but is enabled by the automation and tooling

Automation and Tools enables practice of observability seamlessly

Hate to say it I think in #DevOps #SRE #Observability automation is a big assumption. Otherwise the effort of shift-left is too much to make it a reasonable exercise.

similar to the relationship between #devops & #automation. You can have #devops culture without #automation but can't go long miles without #automation.

Automation can accelerate and enable greater observability #SKILupDay #DevOps #observability

Automation is a set of tools DevOps is about the whole picture.

#Observability is a sustainable approach above monitoring for operational insights, better incidents management, quality control contributing towards a better product. Automation is something that enables means for #Observability in #DevOps.

I think that visibility which enables transparency is the key, but without the context of how the organization is operating we fall short of true observability. That requires visualization and automated analysis that brings the enormous amount of data together.

- Yes indeed. The better your analysis capabilities are, the more valuable your investments in Observability and Monitoring become. The resulting high fidelity monitoring data improves the quality of feedback in the CI/CD loop. Hence Automation is very important.

Think of AIOps like your health app on your wrist device, sleep device and so on. It’s constantly feeding information to the database but the way in which it is communicated makes a difference on how we understand it and make decisions.

automation enables reports and contributes to observability. Never should be an excuse for the human who has to make a decision, just removes toil

@pareeksiddharthObservability is a synthesis of data and insights derived from a plethora of monitoring streams while monitoring is an action that involves gathering and reporting data.

Monitoring tells you there's a problem, observability tells you what to do with it

monitoring provides inputs to observability and outputs awareness

Observability is about ingesting and making available the raw data generated directly by the IT systems; monitoring is about imposing predefined structures on the data as it comes in. now structures are important. they are what make sense of the data but they need to be...

https://www.moogsoft.com/blog/observability-site-r...

If I have to put an analogy it's the difference between analysing car accident data versus all the data the car generates everyday #DevOps #SKILupDay #observability

generated in real time and that is where AI comes into the equation.

Monitoring – Measurement, Data Collection and Decomposition, A fact related to prior happening, Deal with Certainty
Observability – Controllability, Deal with uncertainty, cognitive insight

@lynxman Or supporting a 1998 Honda Accord or a 2020 Tesla

https://medium.com/humans-of-devops/the-practice-o...

- Observability is the practice of achieving actionable insights from data that is generated by instrumented IT and software systems Vs. Monitoring is defined as the actions involved in observability.

Don’t agree that observability creates action. Observability creates a practice of gathering data. And aggregating usefully. Sometimes the best action is none