James Governor [RedMonk] | Reframing and Retooling for Observability | InfluxDays Virtual Experience London 2020

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Observability is making the transition from being a niche concern to becoming a new frontier for user experience, systems, IoT and service management across all organizations. James will discuss what this means for the developers of modern applications and how to use observability to derive deep insights into system performance and user experience.

Technologie

Retooling and
Reframing for
Observability
James Governor, RedMonk co-founder

Many concurrent connections
A specific network stack with specific tunables, firmware, and NICs
Iffy or nonexistent serializability within a connection
Race conditions
Services loosely coupled over networks
Network flakiness
Ephemeral runtimes
Specific CPUs and their bugs; multiprocessors
Specific hardware RAM and memory bugs
Specific distro, kernel, and OS versions
Specific library versions for all dependencies
Build environment
Deployment code and process
Runtime restarts
Cache hits or misses
Specific containers or VMs and their bugs
Specific schedulers and their quirks
Clients with their own specific back-offs, retries, and time-outs
The internet at large
Specific times of day, week, month, year, and decade
Noisy neighbors
Thundering herds
Queues
Human operators and debuggers
Environment settings
Charity Majors, I Test In Production

https://blog.twitter.com/engineering/en_us/a/2013/observability-

Observability
is a love letter
to the future

Using outputs
to understand
system
behaviours

Querying the
system without
bringing it
down

Progressive delivery is a modern software
development and devops practice for gradually
rolling out new features in order to limit the potential
negative impact and gauge user engagement with
new product features.
– Optimizely

Observability enables product management experimentation, with managed
risk
Rapid iterations
Bringing growth hacking approaches to software delivery
Feature management is a bridge
Progressive Delivery, segmented user populations
Testing in production is a given
Improving collaboration between engineering, product management and
development
Observability is a set of conversations
between users and product owners
between product owners and engineers
between engineers and systems
between users and systems
IoT – a network of black boxes
Observability is a cultural change – in telemetry, logging, error messages,

Stock photos licensed from Adobe Stock Photos
Stock illustrations by Undraw.co @NinaLimpi

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1. Retooling and Reframing for Observability James Governor, RedMonk co-founder

2. Do you ship on a Friday afternoon?

7. @monkchips

9. A culture of experimentation

10.

11. growth hacking software delivery

12. Do you test in production?

13. Many concurrent connections A specific network stack with specific tunables, firmware, and NICs Iffy or nonexistent serializability within a connection Race conditions Services loosely coupled over networks Network flakiness Ephemeral runtimes Specific CPUs and their bugs; multiprocessors Specific hardware RAM and memory bugs Specific distro, kernel, and OS versions Specific library versions for all dependencies Build environment Deployment code and process Runtime restarts Cache hits or misses Specific containers or VMs and their bugs Specific schedulers and their quirks Clients with their own specific back-offs, retries, and time-outs The internet at large Specific times of day, week, month, year, and decade Noisy neighbors Thundering herds Queues Human operators and debuggers Environment settings Charity Majors, I Test In Production

14.

15. https://blog.twitter.com/engineering/en_us/a/2013/observability-

16.

17.

18.

19. Observability is a set of conversations

20. Observability is a love letter to the future

21.

22. Using outputs to understand system behaviours

23.

24.

25. Not all customers are created equal

26. Querying the system without bringing it down

27.

28.

29. Quality Velocit y

30.

31.

32.

33.

34.

35. deploy!=releas e

36. Progressive delivery is a modern software development and devops practice for gradually rolling out new features in order to limit the potential negative impact and gauge user engagement with new product features. – Optimizely

37.

38.

39.

40.

41.

42.

43. Developer Experience

44.

45. Observability enables product management experimentation, with managed risk Rapid iterations Bringing growth hacking approaches to software delivery Feature management is a bridge Progressive Delivery, segmented user populations Testing in production is a given Improving collaboration between engineering, product management and development Observability is a set of conversations between users and product owners between product owners and engineers between engineers and systems between users and systems IoT – a network of black boxes Observability is a cultural change – in telemetry, logging, error messages,

46. Stock photos licensed from Adobe Stock Photos Stock illustrations by Undraw.co @NinaLimpi

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