Home

confirmbs

Confirmbs is a software protocol and library designed to provide deterministic confirmation of event processing in distributed systems. It offers a lightweight mechanism for collecting acknowledgments from participating services and for committing a business state only after a defined threshold of confirmations is reached. The approach aims to improve reliability, traceability, and consistency in asynchronous architectures without requiring full two‑phase commit.

Origin and terminology

The term confirmbs is used in some practitioner communities to describe a confirmation-based state discipline. In

Architecture and components

Confirmbs typically comprises a client library, a coordinating component (or broker), and optional adapters for common

Usage and workflow

A typical workflow begins with a producer publishing an event to the system. Downstream services process the

Reception and considerations

Confirmbs can increase reliability and observability in distributed workflows, but it adds architectural complexity and potential

this
context,
“BS”
is
commonly
interpreted
as
“business
state”
or
“backing
state,”
signaling
that
a
given
state
change
is
only
finalized
when
a
specified
set
of
services
has
affirmed
the
change.
The
concept
originated
in
open‑source
discussions
around
event-driven
microservices
and
has
since
been
implemented
in
several
lightweight
libraries
and
integrations.
message
buses.
The
core
data
model
centers
on
a
ConfirmEvent,
which
includes
an
event
id,
origin,
payload,
a
required_confirmations
count,
and
a
status
field.
A
coordinator
aggregates
confirmations
from
participating
services
and
triggers
a
final
commit
or
compensating
action
once
the
required
number
of
confirmations
is
reached
or
a
timeout
occurs.
The
system
emphasizes
idempotent
processing,
traceable
provenance,
and
pluggable
backoff
and
retry
policies.
event
and
emit
confirmations
back
to
the
coordinator.
When
the
configured
confirmation
threshold
is
met,
the
system
marks
the
business
state
as
committed
and
may
publish
a
finalization
event.
If
confirmations
fail
to
arrive
within
a
deadline,
compensating
actions
or
rollbacks
may
be
initiated.
The
model
supports
partial
failures
and
aims
to
minimize
the
impact
of
delayed
components.
latency.
It
is
best
suited
for
scenarios
where
finality
of
a
state
is
more
important
than
ultra-fast
processing,
such
as
business
transactions
requiring
auditability
and
clear
rollback
paths.
See
also
distributed
transactions,
saga
patterns,
and
event
sourcing.