Stories · Internet & Software
The migration the team called impossible : landed agent-native.
Poshmark's internal team had concluded the migration was not sequenceable inside their constraints. Most SI firms agreed and declined the work. Mactores landed it because the agent-native delivery model could absorb the dependency analysis that a pyramid of analysts could not have completed inside the timeline.
Baseline
Complex multi-system platform. Active engagement load. Prior SI proposals declined the engagement.
Outcome
Consolidated AWS-native platform. Staged cutover executed cleanly. Zero product disruption.
Time to Value
Weeks
The Challenge · 01
A migration where the answer was hidden in the dependency graph.
Poshmark's platform was the kind of migration most consulting firms decline. Multiple interdependent systems. Active engagement load that did not pause for the migration. No obvious order that did not break a downstream dependency.
The Poshmark internal team had spent cycles on the problem and concluded a clean cutover was not possible.
The reason most firms declined is not that the engineering was unsolvable : it is that the dependency analysis required to find the right sequencing would have consumed the entire engagement budget. There was no money left for the work the sequencing made possible. That math is the trap that has killed dozens of SaaS migrations.
How We Delivered · 02
Aedeon mapped what a pyramid of analysts could not have. FDEs built the sequencing the map revealed.
Aedeon ran the dependency analysis across Poshmark's platform : every system, every integration, every shared resource. The dependency graph that came out of the analysis would have taken a traditional SI team months to assemble. Aedeon produced it in days. With the full map in hand, forward-deployed engineers found the sequencing the internal team had not been able to see.
Aedeon's Lane
- •Full dependency analysis across Poshmark's multi-system platform
- •Shared-resource mapping and lineage capture
- •Validation harness running parallel against the live platform at each stage
- •Observability instrumentation for cutover-stage tracking
- •Risk-flag surface for the engineering team
Forward-Deployed Engineers' Lane
- •Staging-order design that broke the apparent deadlock
- •Risk-weighted cutover plan, stage by stage
- •Acceptance criteria with Poshmark's engineering team for each stage
- •Production sign-off on each stage cutover
- •Customer-signed acceptance on the final consolidated architecture
In Production · 03
A consolidated AWS-native platform, in production, without product disruption.
Poshmark runs on a consolidated AWS-native platform. The migration the internal team had called impossible is live.
The engineering team has cycles back for the product work the legacy was consuming.
The dependency map that Aedeon produced is now a living artifact the Poshmark team uses for future architecture decisions.
“A big thank-you to the Mactores team for the execution. Poshmark recognizes how complex this project was : their expertise made it land.”
: Gautam Golwala, Co-founder & CTO, Poshmark
Why This Matters · 04
“Too complex to migrate” is usually a delivery-model problem, not a complexity problem.
Most SaaS modernizations that get declined as “too complex” are not actually too complex : they are too expensive to analyze under the traditional SI delivery model.
The dependency analysis that would reveal the right sequencing would eat the engagement budget before the actual migration work began.
Agent-native delivery breaks that math. Aedeon does the dependency analysis at a fraction of the analyst hours, and the budget reallocates to the staging work that actually lands the migration. The migrations that pyramids declined are the migrations agent-native delivery exists to ship.