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... for dust you are
and to dust you will return ...
James Turnbull
@kartar
https://www.kartar.net
Let me tell you a story...
In the beginning there was darkness
Then the world grew
Then all at once there was a loud
bang
But a wise saint said:
"Let there be a (little) light!"
But Monitoring was a fragile beast
Limited resolution and scale
Reactive
Infrastructure-centric
Single data source-centric
Monitored widgets not outcomes
Virtualization, Cloud
Containers, Serverless
New architectures
IT as revenue center not cost center
Complexity and impact writ large
So we didn't do so well last time...
Observability
It's not about the tools.
It's never about the tools.
But it is about who the customer is...
Observability concerns
are business concerns
Proactive not reactive
Observe systems
Use more data sources
Rich data means deep context
Monitoring is about symptoms
Observability is about understanding
Thanks
@kartar
https://turnbull.press

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And lo there was monitoring!

Editor's Notes

  1. - This is a story of where we've been - And what you can learn from the past. - Where we're going
  2. - Humans as monitoring - single/small numbers of machines, ops teams. - Monitoring was limited: heavily checklist-based
  3. - move to client/server - more moving pieces - move to IT being mission critical
  4. Outages – more of them, more time to recover.
  5. Check-based monitoring. - periodic checks
  6. Limited granularity and doesn’t scale Built post-the-implementation Focused on host and availability metrics Checks are one source of data – generally ignores: traces, logs, metrics Focused on IT assets not business metrics
  7. Thankfully things have gotten simpler… Oh wait.
  8. Complexity plus IT becoming strategic.
  9. Despite all this - things have not evolved as rapidly in the monitoring world. 80/20 bubble. We need a new start. First, re-evaluate what data youre collecting, what you're watching, what you're alerting on Second, it’s about new requirements not about patching old systems. You need to build a new paradigm.
  10. New paradigm that we can grow into. A meta narrative. A superset of monitoring. Embraces more than monitoring, doesn’t mean giving monitoring up. Not a perfect definition. Aspirational
  11. You are not the (only) customer of your monitoring.
  12. Observe systems. Components are interchangeable and not worth the effort. Observe end-to-end – user experience matters.
  13. Checks Metrics Logs Traces Also add context – you know a lot about your systems, why not surface that so you don’t have to go fishing. Et al
  14. Good for debugging purposes. You can’t predict failure in complex systems but you know it’s going to happen arming yourself with evidence and diagnostic information leaves you best prepared. Tools and their data can tell you information. Data with context gives you answers.
  15. report the overall health of systems Highly granular insights into the behavior of systems along with rich context.