Continuing the #QConLondon production track with @yurynino, and using visual metaphors to understand our production data in a different way. Image
"In our field, observability is about humans and about how humans interact with technology" @yurynino #QConLondon Image
Collecting metrics and signals are only one part of the solution - observability has to come with good visualisation, and engineering a solution for humans. @yurynino #QConLondon ImageImage
Chaos engineering isn't just about injecting the chaos, it's about increasing knowledge about our system (through observability) and overcome its weaknesses. @yurynino #QConLondon ImageImageImage
Introducing visual metaphors: displaying data and metrics in real world shapes and analogies. @yurynino #QConLondon ImageImage
When surveyed, only 55% of engineers answered correctly when looking at a standard line graph - but they all got it right when viewing it in a city metaphor @yurynino #QConLondon ImageImageImage
Visual metaphors as alternative solutions to hard to read bar charts. For traffic, using nodes and edges of variable size - and for latency using color coded gauges. @yurynino #QConLondon ImageImage
"If we have proper visualisation and better metaphors, we set much better conditions for our operators to be comfortable in understanding and responding to variations in our systems." @yurynino #QConLondon Image

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More from @PierreVincent

Apr 5
Here we go, last talk of the day on the production track at #QConLondon, with @rdelvira and "an entertaining outage story" (his own words) when slack rolled out DNSSEC Image
"Who here tried to rollout DNSSEC?, Ok one person... Now how failed when trying to rollout DNSSEC? Welcome to the club!" 😂 @rdelvira #QConLondon
"We planned DNSSEC carefully, with the necessary changes and replicated most of our DNS use cases... And you'll see later why I said 'most'..." @rdelvira #QConLondon Image
Read 8 tweets
Apr 5
Next up on the production track, @mhausenblas on Continuous Profiling #QConLondon Image
"Observability is the capability to continuously generate and discover actionable insights based on signals from the system under observation with the goal to influence that system" and that's for both people (eg debugging) and automation (eg autoscaling) @mhausenblas #QConLondon Image
Observability can go beyond usual metrics, logs and traces: @mhausenblas introducing profiles and eBPF #QConLondon ImageImageImage
Read 9 tweets
Apr 5
First talk of the day on the #QConLondon production track, by @glenathan and a challenge: can we build observable services without logs? Image
"We needed to build a new service in Go, without our usual existing scaffolding in Clojure... That led to some bikeshedding but also gave a chance for experimentation!" @glenathan #QConLondon
"Before this, we spent a lot of money to know what our applications were doing in production" Image
Read 10 tweets

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