Go Time: Golang, Software Engineering

Making Go more efficient

Dec 15, 2022

01:02:02

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Highlights

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Episode notes

Is Premature Optimization the Root of Our AVIL?

01:54

Is It Possible to Build a PR on a Microbenchmark?

02:18

Go Runtime Provides Support for Metrics, Right?

01:38

Introduction

3min

Go Time - Welcome to Go Time!

2min

Making Code More Efficient

2min

Is Premature Optimization the Root of Our AVIL?

2min

Is There a 3% Chance to Optimize?

2min

Observability and Bottleneck Analysis

2min

Observability and Monitoring in DevOps?

2min

SLO Dashboard

1min

Observability Slash Monitoring

3min

10.

Is It Possible to Build a PR on a Microbenchmark?

2min

11.

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

3min

12.

Continuous Delivery

2min

13.

Do You Have a Budget for Adding Features on Flare?

2min

14.

Is It Hard to Set the Goals?

2min

15.

Is There a Cost to Observability?

3min

16.

How Much Flexibility and Deleting Should You Add?

4min

17.

Do You Recommend That?

2min

18.

Is It Your Fault?

2min

19.

How Does Go Compare to Other Languages and Other Technologies?

2min

20.

Go Runtime Provides Support for Metrics, Right?

2min

21.

eBPA Profiler - Is There a Downside?

2min

22.

eBPF

2min

23.

What Is eBPF?

2min

24.

Popular and Unpopular Opinions?

2min

25.

Is Over-Generative Abstraction Really Bad?

2min

26.

YAML Programming

2min

27.

Go Execution Tracer Unpopular Opinion

2min

28.

Arana

2min

29.

Go Time - What's Up With That?

3min

Mat invites Bartłomiej Płotka, Kemal Akkoyun & Christian Simon to discuss how to make Go code more efficient through modern observability practices.

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