Accelerate - book notes
previous attempts - the flaws
- focused on outputs, not outcomes- focused on individual, not team/global outcomes
measuring performance
- delivery lead time- deployment frequency
- time to restore service
- change fail rate
impacts: delivery perf -> org perf
driving change
definitions
impacts
impact of CD on quality
CD: what does/does not work
CD adoption
system types
focus on deployability & testability
loose coupling = scalability
allowing devs to choose their own tools
focus on devs & outcomes - not tools or technologies
"shift left" (built-in, not separate phase)
"rugged" devops
lean mgmt practices
implementing a lightweight change mgmt process
lean PD practices
- small-batch workflows- workflow visibility
- customer feedback
- team experimentation
deployment "pain"
developer burnout
common burnout problems
- work overload- lack of control
- insufficient rewards
- community breakdown
- lack of fairness
- value conflicts
how to reduce burnout
employee loyalty
- measuring NPS (net promoter score)changing organizational culture & identity
job satisfaction & org performance
diversity matters
transformational leadership
- vision- inspirational communication
- intellectual stimulation
- supportive leadership
- personal recognition
the role of managers
tips to improve culture/support
- build trust with your counterparts on other teams- encourage people to move between departments
- seek/encourage/reward collaborative work
- create a training budget. use it.
- provide informal learning resources
- make it safe to fail
- ID opportunities to share info
- demo days/forums
- making monitoring a priority
primary/secondary research
qualitative/quantitative research
analysis types
- descriptive- exploratory
- inferential
- predictive
- causal
- mechanistic
classification analysis
trusting data with latent (hidden) constructs (LCs)
LCs --> what are you measuring?
LCs --> multiple data "views"
LCs --> help safeguard against rogue data
LCs --> system data
quick data collection/analysis
measuring full stack with system data is hard
complete measurement with system data is hard
trustworthy data
some things can only be measured via surveys
continuous delivery
- strict version controls- automated deployments
- continuous integration
- trunk-based devt
- test automation
- test data mgmt
- "shift left" on security
- continuous delivery
architecture
- loose coupling- empowered team choices
product & process
- customer feedback - gather, implement- workflow visibility throughout the value stream
- small batches
- foster team experiments
lean mgmt & monitoring
- lightweight change approvals- monitoring tools
- proactive system health checks
- work-in-process (WIP) limits
- work visualization / communication
cultural
- generative (Westrum) characteristics- learning encouraged
- team collaboration
- correct tools
- transformational leadership (see dora.dev)
organizational performance
SW delivery performance
- deploy frequency- lead time
- mean time to restore
- change fail%
quality
- unplanned work/rework- manual work
burnout & deployent pain
technical skill
- trunk-based devt- continuous delivery
- ...