Discover and read the best of Twitter Threads about #QConSF

Most recents (7)

Software is magic because it scales so well.
I can take the output of my brain and scale it to the world.

@KentBeck
If we go from Idea to Behavior change to new Idea…
how quickly we can do that depends on the structure.
@kentbeck
If we go Idea to Behavior to Idea to Behavior
as fast as we can,
it’s gonna get slower and slower and then the developers will get frustrated and leave and the new developers will be even slower…

So sometimes, we make a structure change before the behavior change.
@KentBeck
Read 14 tweets
SRE teams try to keep toil under 50%.

Only 50% of work that has no enduring value...

@DivineOps #QConSF
SREs in the audience? (Dozens of hands)
Experienced SREs? (Like 2.5 hands)
We @RedHat used to ship products. Build a thing, package it, send to customers. Then it was their problem. Customer hires a consultant or figures it out.

Now we mostly ship services. Now it’s our headache, reliability and uptime etc. It’s different

@DivineOps #QConSF
Read 19 tweets
In which @mipsytipsy speaks up about the Engineer<->Manager Pendulum

#QConSF Image
The team deserves someone
who wants to manage people.
who is not bitter about meetings
who is interested in sociotechnical systems and nurturing careers
whose technical skills are strong enough to evaluate their work.

@mipsytipsy #QConSF
And each of us deserves a long, interesting career.

Trick: don’t self-identify as a manager OR as engineer.

Look at yourself as a Technologist
Or Technical Leader
… who needs engineering AND management skills.

@mipsytipsy #QConSF
Read 27 tweets
How to build reliable systems under unpredictable conditions

@MrBWilms is excited to be at #QConSF :-) Image
Normal testing is happy-path testing.

@MrBWilms #QConSf
Reliable: consistently good in quality or performance.
Reliable: able to be trusted.

@MrBWilms #QConSF

Note that he doesn’t say “perfect.” Good isn’t perfect, but it can be _real_.
And trust is not assuming perfection.
Read 15 tweets
Not getting results you want from data lake? You may think of trying data lake in the cloud - but it's the same paradigm with same issues. @zhamakd at #QConSF
The problem is that the layers in data lake design map to technical components. This doesn't work - change is orthogonal.
Data engineers are siloed and stuck between teams with different incentives and priorities.
Read 13 tweets
#QConSF - @criccomini shares that WePay data infrastructure is based on Airflow, Kafka and BigQuery.
The roadmap to data maturity
This looks nuts to people who know databases, but at first it works well! Very real time. But soon users and reports get in each other's way
Read 18 tweets
Yay it’s @palvaro!
Who says “I don’t belong here”
And then learns he lied about being a PL researcher
#QConSf ImageImageImageImage
For a long time @palvaro convinced himself not to design a language. Image
But then he really wanted to write correct and debuggable distributed systems. ImageImageImageImage
Read 5 tweets

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