Execution intelligence for .NET backend teams

All your backend signals,

in one execution story.

FOVEUS reconstructs failed requests, background jobs, retries, exceptions, metrics, logs, alerts, and events into one ordered execution timeline - so you can explain production incidents without stitching tools together.

One NuGet package · Two lines of code · No agents · No credit card

Logs

error written

Metrics

p95 +42%

Traces

span chain

Jobs

worker failed

Alerts

threshold crossed

Exceptions

CustomException

Requests

POST /payments

Events

PaymentQueued

Execution Timeline

One ordered story of what happened.

live
HTTP requestPOST /api/payments · 12ms
DB querySELECT account · 8ms
Event publishedPaymentQueued
Background jobPaymentWorker · retry 2/3
External API callprovider/charge · 144ms
Exception groupedCustomException · Issue linked
ResponseHTTP 500 · 214ms total

Designed for modern .NET backends

Built for backend systems where the failure path crosses more than one tool.

ASP.NET Core.NET WorkersBackground JobsSQL DatabasesMessage QueuesExternal APIsLogsMetricsExceptionsAlertsOpenTelemetry direction
The old way

Your tools show fragments. Incidents need sequence.

Logs, metrics, traces, alerts, and job dashboards each tell part of the story. During an incident, your team still has to reconstruct what happened manually.

Fragmented investigation

Logs

What was written

Metrics

What changed

Traces

One request path

Alerts

Something crossed a threshold

Job dashboard

A worker failed

Human work

Stitch it together at 2AM

FOVEUS execution story

One issue grouping

One ordered timeline

Requests, jobs, events, logs, metrics, exceptions together

Failure site and occurrence count attached

Related evidence visible in context

Decision-ready explanation

A trace shows request flow. FOVEUS shows the execution story.

Incident walkthrough

From alert to explanation, without opening five tools.

A payment starts as a normal HTTP request. The database lookup succeeds. An event is published. A worker retries. The provider call slows down. An exception is thrown. FOVEUS keeps the chain intact.

incident / payments / FX-1842

active

Alert fires

01

Payment failures crossed threshold

Issue opens

02

CustomException in payment-api

Execution timeline loads

03

HTTP -> DB -> Event -> Job -> Provider -> Exception

Evidence is attached

04

logs, durations, metric spike, stack frame, retry count

Pattern is grouped

05

47 occurrences · same exception · same failure site

Decision is clear

06

Provider timeout caused payment worker retry storm

Instead of asking "where do we look next?", FOVEUS shows the execution evidence in order.
Product

Issue-first investigation for backend failures.

Start from the problem, not from a blank search box. FOVEUS groups repeated failures into Issues, then connects each issue to the execution timeline and the evidence behind it.

Issues

Repeated failures are grouped by exception type, failure site, service, and environment, so one bug does not become a thousand alerts.

01CustomException
02payment-api
03SharedTransactionBLL.SetDefault
0447 occurrences
05last seen 2m ago

Execution Timeline

See the ordered path across requests, database calls, events, workers, retries, external calls, logs, metrics, and exceptions.

01POST /api/payments
02SELECT account
03PaymentQueued
04PaymentWorker retry 2/3
05provider/charge
06CustomException
07HTTP 500

Job Monitoring

Background jobs are first-class executions, not hidden worker logs. Track duration, retries, failures, related issues, and downstream impact.

01PaymentWorker
02retry 2/3
03failed after 144ms provider call
04linked to FX-1842
Execution timeline

Traces follow requests. FOVEUS follows execution.

Distributed traces are useful, but many backend failures do not live inside a single request. They continue through jobs, queues, retries, scheduled workers, emitted events, alerts, and grouped exceptions.

Traditional tracing

  • Request-scoped
  • Span-based
  • Great for service paths
  • Often loses background job context
  • Requires manual correlation with logs and alerts

FOVEUS

  • Execution-scoped
  • Incident-oriented
  • Connects requests, jobs, events, logs, metrics, exceptions, and alerts
  • Preserves background work and retry context
  • Starts from the issue and shows evidence

FOVEUS does not replace every observability tool. It gives backend teams the execution layer missing between them.

Outcome semantics

HTTP success is not business success.

Many providers return HTTP 200 even when the business operation failed. FOVEUS is designed to classify the real outcome by extracting response codes, applying semantic rules, and surfacing unknown outcomes when it cannot safely decide.

A transport status tells you whether a request completed. Outcome semantics tells you whether the operation actually succeeded.

Provider response

HTTP 200 OK

transport success
{
  "responseCode": "99",
  "message": "Transfer failed"
}

FOVEUS interpretation

Business outcome

Outcome: Failed

semantic rule
OutcomeFailed
Failure typeProviderFailure
Failure pointThirdPartyProvider
ProviderNibss
OperationTransfer
RetryableYes
Classified bySemantic Rule

Unknown state example

HTTP 200 + unmapped responseCode: 8888

FOVEUS result

Outcome: Unknown

No blind success. Unknown provider-specific outcomes stay unknown until mapped. FOVEUS works automatically first, and configuration can improve accuracy.
.NET-first

Built for the backend work traces usually miss.

FOVEUS starts with .NET because production failures often cross ASP.NET requests, background services, queues, scheduled jobs, database calls, and external providers.

ASP.NET Core request capture

Worker service and background job visibility

Exception grouping by type and failure site

Logs and metrics attached to execution context

Issue-first alerting

OpenTelemetry-friendly direction

External API outcome classification direction

Setup

Start capturing execution context in minutes.

Install the SDK, register FOVEUS, and let execution context travel through requests, jobs, and events.

Terminal

setup
dotnet add package Foveus.SDK

Program.cs

setup
builder.Services.AddFoveus("YOUR_API_KEY_HERE");
app.UseFoveus();

Use the real package name and setup from the repository/docs. No invented package name or options object.

Workflows

Every incident path leads back to the same evidence.

On-call engineer

Alert -> Issue -> Execution Timeline

When an alert fires, FOVEUS shows the grouped issue, the latest affected executions, and the evidence needed to decide whether to rollback, patch, or escalate.

Backend developer

Exception -> Failure site -> Related executions

Open an exception and see the exact code path, affected service, repeated occurrences, logs, metrics, and job context around it.

Platform team

Job failure -> Retry pattern -> System impact

See failed background work in context: retry counts, duration, related alerts, downstream calls, and whether the failure is isolated or spreading.

Principles

Built around evidence, not guesses.

01

Show, don't guess

FOVEUS is not an AI root-cause oracle. It shows the execution truth in order.

02

Execution is the source of truth

Logs are evidence. Metrics are symptoms. Traces are paths. Execution is what actually happened.

03

Issues, not noise

One event may be noise. A repeated failure pattern is a problem.

04

Jobs are first-class

Background jobs, retries, queues, and workers belong in the incident story.

05

Fast to onboard

One package. Minimal code. No agent-heavy infrastructure.

06

Useful at 2AM

If the page makes an incident harder to understand, the product failed.

If you can't explain what happened, FOVEUS can.

Join the beta and turn scattered backend signals into ordered execution evidence before your next production incident.

Free beta · No credit card required