Trace propagation
One header carries the trace across queues, cron jobs and webhooks. No SDK sprawl.
01Observability for event-driven backends
Every async hop traced, correlated and explained — without instrumenting a single handler.
Apollospring gives your team one place to observability for event-driven backends — with limits that are visible before they are hit.
No card required. 41 services correlated by default.
Overview
Runs
Policies
Traces
Settings
Observabilitylive
41services correlated by default
9 msp99 overhead per hop
Trace propagationok
Self-updating service mapok
Slow-consumer alertsok
Teams shipping with Apollospring
NorthwindKestrelRuangPolarTokoLumenBakauVela
What you get
Three things Apollospring does properly.
Self-updating service map
Topology inferred from real traffic, not from a YAML file someone forgot.
02Slow-consumer alerts
Catch the queue that is quietly falling behind before your customers do.
03Inside the product
One screen, the whole picture.
Overview
Runs
Policies
Traces
Settings
Observabilitylive
41services correlated by default
9 msp99 overhead per hop
Trace propagationok
Self-updating service mapok
Slow-consumer alertsok
41services correlated by default
9 msp99 overhead per hop
0hand-written spans
“We deleted 3,000 lines of tracing boilerplate in the first week. The service map was already right.”
Maya R. — platform lead, Jakarta
Pricing
Start free. Pay when it earns it.
Questions
The things people ask first.
Do I need to change my code?+
One middleware line per runtime, or a sidecar if you would rather not touch the app.
Where does data live?+
In the region you pick. Payloads are hashed at the edge; only metadata is stored.
What about Kafka?+
Consumer lag, partition skew and rebalance events are first-class citizens.
Apollospring is open for design partners.
Small team, direct access to the people who build it. Bring a real workload.
Request access