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DevOps Days Kyiv 2019 -- Quick - What Time Is It!? // Dan Maher

M
Mykola Marzhan

The document discusses the complexity of time and provides definitions and abstractions related to how time is measured and understood. It cautions software developers to not write their own date and time libraries, to not assume network reliability, and discusses how clocks, calendars, time zones, and datetime libraries are abstractions of time. The document ends by reiterating that time is complicated.

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Daniel Maher Datadog Quick— What Time Is It!? DevOpsDays Zurich 2019 1
Time: It's complicated @phrawzty // Datadog 2
Definition: Chronos & Kairos @phrawzty // Datadog 3
Definition: Distension @phrawzty // Datadog 4
Definition: Maths @phrawzty // Datadog 5
Definition: Noumena & Phenomena @phrawzty // Datadog 6
Definition: Space & Time? @phrawzty // Datadog 7
Definition: Space-Time @phrawzty // Datadog 8
D̴̀͠ȩ̕f ̸̧̨̕ ͟i ̶̛ ͜n͟͞ i҉̶ ͘̕ ţ̢̛̀ì̛͢ǫ͢͝ǹ̵̴͡:͘҉̴͘ ! @phrawzty // Datadog 9
Forget definitions Let's try abstractions! @phrawzty // Datadog 10
Abstraction: Clocks @phrawzty // Datadog 11
Abstraction: Calendars @phrawzty // Datadog 12
Abstraction: Time zones @phrawzty // Datadog 13
Abstraction: Datetime libraries @phrawzty // Datadog 14
Do not write your own datetime library @phrawzty // Datadog 15
"I wonder if this is by design or by accident." — R. David Murray @phrawzty // Datadog 16
Do not assume that the network is reliable @phrawzty // Datadog 17
Electricity: Like the Internet but worse @phrawzty // Datadog 18
Distortions? In my space- time field? It's more common than you think. @phrawzty // Datadog 19
Time: It's complicated @phrawzty // Datadog 20

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DevOps Days Kyiv 2019 -- Quick - What Time Is It!? // Dan Maher