9/9:Platform eng. can scaffold a reliability mindset for product engineers by providing a causal understanding of systems _below the line_ and by helping connect the dots with systems _above the line_. A balanced and coherent view of boundaries gives confidence to evolve them in the right direction.

8/9: Consideration of all three problem spaces gives us the ability to anticipate future states and evolve toward that target. It helps grasp boundaries and trace trajectories for better relevance.

Design for Tension empowers product teams to make the best possible decisions in the midst of change.

7/9: Domain modeling unfold data semantics and enables more reliable systems with greater affordances – more user actions in context. Product relevance guides us to explore and verify models against the evolving landscape, mostly found in the interconnections of data-flow.

6/9: Business or domain concern gives us a sense of data — causal relations and transactional boundaries. That knowledge can be used to relax our consistency model and enhance availability (through clear isolation), which is good for event-driven, cloud-native applications.

5/9: How exactly Design for Tension works:
I’m starting this thread with a data-flow perspective on purpose. It’s always a good way to figure out what’s going on in the middle of an incident by asking how data is stored and transferred between.
In the cloud we care about consistency and availability

4/9: Platform eng. could help product t. design and build for Tension:
- observability 2.0 (wide: cloud, domain, product)
- components (event-driven foundation, reliability)
- causal understanding (atl toolchain for grasp semantics)
Design for Tension is a team sport. Activates platform eng. invest.

3/9: Tension arises when we try to model volatile semantics into strict syntax.
Tension here implies coherence: a proper domain data model reduces cloud concerns and amplifies product velocity.
A sweet spot for DORA uplift.

2/9: Infrastructure Gravity leads us to pay attention to cloud concerns: how data is stored, processed, and transferred between components.
Feature Lift is about product concerns — a field of relevance: how many opportunities for meaningful interaction the data allows us to realize.

I like these visuals. Linked lists and B-trees are exactly how I represent remodeling in my mind. When you’ve worked with a domain for a long time, you start remodelling it to better fit concurrent product streams and to ‘activate’ their velocity.

Organisations that take advantage of this fear to squeeze more out of their people might see short-term gains but will ultimately be left behind.

Now is the time to double-down and invest in fostering trust, encouraging challenge, and creating a culture of safety.