Главная
Study mode:
on
1
YOUR TEAM AS A DISTRIBUTED SYSTEM
2
INTRODUCTIONS
3
THE PETER PRINCIPLE
4
PEOPLE DON'T THROW STACK TRACES.
5
DEFINING DISTRIBUTED SYSTEMS
6
8 FALLACIES OF A DISTRIBUTED SYSTEM
7
THE NETWORK IS RELIABLE
8
LATENCY IS ZERO
9
BANDWIDTH IS INFINITE
10
4. THE NETWORK IS SECURE INFORMATION IS TRANSMITTED ACCURATELY
11
TOPOLOGY DOESN'T CHANGE
12
THERE IS ONE ADMINISTRATOR
13
TRANSPORT COST IS ZERO
14
THE NETWORK IS HOMOGENEOUS
15
SINGLE POINT OF FAILURE
16
DON'T BUILD A MONOLITH
17
ROCKSTARS DON'T SCALE.
18
CONSISTENCY VS AVAILABILITY
19
HOW DO WE SCALE OUR TEAMS?
20
MONITORING
21
CONFLICT RESOLUTION
22
(REDUNDANT) COMMUNICATION
23
CLARITY OF ROLES
24
RE-ITERATE COLLECTIVE GOALS
25
CULTURE EATS STRATEGY FOR BREAKFAST
26
CULTURE & CHARACTER
27
IT'S ABOUT CHOICES
28
WHO WE HIRE, WHO WE FIRE, BEHAVIOURS WE REWARD, AND THOSE WE REPRIMAND.
29
MAKE GOOD CHOICES
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore how distributed systems theory can be applied to team leadership and management in this 47-minute conference talk from Voxxed Days Singapore 2019. Discover how Andrew Harvey, CTO in Residence at Microsoft Sydney, draws parallels between technical concepts and team dynamics. Learn to use software architecture principles and distributed systems theory to better understand, engage with, and lead teams as they scale. Gain insights into communication, culture, and team optimization through the lens of CAP Theorem and the 8 Fallacies of Distributed Systems. Walk away with practical tools to analyze team dynamics, set up successful scaling strategies, and navigate common challenges in technical leadership roles.

Your Team as a Distributed System

Devoxx
Add to list
0:00 / 0:00