Making Go more efficient

1

Introduction

00:00 • 3min

2

Go Time - Welcome to Go Time!

03:05 • 2min

3

Making Code More Efficient

04:36 • 2min

4

Is Premature Optimization the Root of Our AVIL?

06:49 • 2min

5

Is There a 3% Chance to Optimize?

08:43 • 2min

6

Observability and Bottleneck Analysis

10:14 • 2min

7

Observability and Monitoring in DevOps?

12:12 • 2min

8

SLO Dashboard

14:04 • 1min

9

Observability Slash Monitoring

15:34 • 3min

10

Is It Possible to Build a PR on a Microbenchmark?

18:52 • 2min

11

Getting Your Best Ideas Into the World and See What Happens?

21:10 • 3min

12

Continuous Delivery

23:41 • 2min

13

Do You Have a Budget for Adding Features on Flare?

26:07 • 2min

14

Is It Hard to Set the Goals?

27:37 • 2min

15

Is There a Cost to Observability?

29:37 • 3min

16

How Much Flexibility and Deleting Should You Add?

32:36 • 4min

17

Do You Recommend That?

36:17 • 2min

18

Is It Your Fault?

38:32 • 2min

19

How Does Go Compare to Other Languages and Other Technologies?

40:34 • 2min

20

Go Runtime Provides Support for Metrics, Right?

42:06 • 2min

21

eBPA Profiler - Is There a Downside?

43:44 • 2min

22

eBPF

45:28 • 2min

23

What Is eBPF?

47:01 • 2min

24

Popular and Unpopular Opinions?

49:01 • 2min

25

Is Over-Generative Abstraction Really Bad?

51:17 • 2min

26

YAML Programming

53:27 • 2min

27

Go Execution Tracer Unpopular Opinion

54:58 • 2min

28

Arana

56:53 • 2min

29

Go Time - What's Up With That?

58:38 • 3min