Salesforce daily archive
730 days of practical thinking.
One retrospective note for every day from 2 September 2024 to 1 September 2026.
Archive dates organise the subject history. They do not claim the notes were originally published on those dates.
Showing 730 archive entries
Page 25 of 31
Failure-first thinking: Deprecation tracking
Retirements and end-of-support notices need the same visibility as new features. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Feature adoption decisions
New platform capability creates value only when it solves a prioritised business need and has an accountable owner. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Post-release validation
A successful deployment does not prove that every business journey works under production data and integrations. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Release communication
Users need to understand the few changes that affect their work, not receive a copy of the complete release notes. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Critical update review
Critical updates can change security or runtime behaviour and deserve ownership before enforcement dates arrive. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Seasonal regression testing
Regression testing should concentrate on high-impact journeys, custom automation and integration boundaries. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Sandbox preview planning
Preview sandboxes provide a controlled window to evaluate upcoming platform behaviour before production changes. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Release readiness
Each seasonal Salesforce release is a change programme, even when most features are enabled automatically and safely. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: API version discipline
API versions influence behaviour and should move through the estate as a managed engineering decision. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Flow and Apex boundaries
Declarative and programmatic automation are complementary when their responsibilities are explicit. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Salesforce code review
Code review is an architectural control as well as a defect check. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Application logging
Logs should describe business context and decision points, not produce an unstructured stream of debug statements. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Custom metadata as configuration
Custom metadata can move controlled business variation out of code and into deployable configuration. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Security enforcement in Apex
Apex can execute with privileges that require developers to enforce the intended access model deliberately. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Test data design
Good test data communicates the business scenario and remains independent of org state. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Meaningful Apex tests
Tests should protect business behaviour and failure handling, not merely raise coverage percentage. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Bulk-safe code
Salesforce transactions may process many records even when the original change appears singular. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Selective SOQL
Query design must reflect data distribution and access paths, not only functional correctness. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Lightning component boundaries
A Lightning Web Component should own a coherent interaction rather than accumulate an entire business process. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Asynchronous Apex
Queueable, batch and scheduled work solve different execution and scale requirements. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Trigger discipline
Triggers should coordinate record-change behaviour without becoming a hidden application framework. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Apex service layers
A service layer gives business operations a stable home outside triggers, controllers and transport-specific code. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Integration observability
A connected process needs end-to-end visibility across platform and team boundaries. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
Read daily noteFailure-first thinking: Platform limits as architecture
Governor limits encourage efficient multi-tenant design and must influence architecture from the beginning. This retrospective daily note considers what happens when dependencies, data or assumptions fail.
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