Technical deep dive

Never hear about incidents from customers again.

Herald learns your environment, detects anomalies before they become incidents, and investigates issues before they impact customers.

See a Real Investigation

herald — zsh

why are checkout webhooks failing?

Gathering context...

• ✓Read Datadog monitor: "Checkout API 5xx Spikes"
• ✓Pulled recent logs from k8s pod: checkout-worker-7b49f
• ✓Scanned git history for repo: billing-svc
• ✓Checked Stripe API status: Operational

Analyzing...

Found root cause (High Confidence): Commit 8f2a1b renamed 'customer_id' to 'stripe_id' in the billing-svc database, but the webhook handler in checkout-worker was not updated. It is silently dropping the payload.

↳Suggested fix: Update line 142 in src/handlers/webhook.ts to reference payload.stripe_id.

Autonomous Onboarding

Connect your data sources and Herald does the rest - mapping your architecture, understanding how systems relate, and building a working model of what normal looks like. No setup project. Running in days.

API Latency L30D

API latency

Add new endpoint…

src/server/api.py

API server logs

deploy-workflow

api-server-deploy

Predictive Incident Detection

Find out what's wrong before your customers do.

Herald builds a custom anomaly detection model for each data stream, filters false positives, and surfaces validated issues with root cause before any alert fires. Don't be surprised if Herald finds an undetected SEV-1 in staging within a week.

Source
Customer Data Systems
Data
Frequency Sampling Method
Detection
Statistical Anomaly Model
Validation
False Positive Filtration
Investigation
Root Cause Analysis

Root Cause Analysis

Investigates novel incidents. No runbook required.

Herald knows every tool, dataset, and query across your environment, so it's prepared for unknown unknowns. Multiple hypotheses, parallel sub-agents, RCA in minutes. 100% accuracy on known incidents. 70% on novel ones.

Alert
API latency spike

Reason
Explore possible causes

Hypothesis
Load spike
Code change
Memory leak

Evaluate
Query Grafana
Recent PRs to API
Check memory usage

Identify
Usage spike from load test

Notify
Share RCA results

Continuous Learning

Gets more accurate with every incident. Known or novel.

Herald learns automatically from every investigation - what worked, what didn't, how engineers responded. No model retraining. No knowledge base to maintain.

First Occurrence
HighLatency:checkout-svcRestart pod✗ Ruled outCheck downstream DB✗ Ruled outExamine connection pool✓ Root cause

12 minutes · 3 hypotheses

Future Investigations
HighLatency:checkout-svcRestart pod✗ Ruled outCheck downstream DB✗ Ruled outExamine connection pool✓ Root cause

2 minutes · 1 hypothesis

Works With Your Stack

Connect once. Investigate everything.

Herald connects to the tools your team already runs. No rip-and-replace. No new infrastructure.

No data ingestion. Herald queries your tools through their APIs at investigation time. Your data stays where it is. Herald stores metadata and relationships, not your telemetry, logs, or code.

• SOC 2 Type II certified.
• Read-only by default.
• Autonomous capabilities you control.
• BYOK & on-prem available.

Need an agent for your infra?

Get started today

See how Herald can help your team ship faster today.

Try for Free

The Herald Approach

1. 01Up and running in minutes Herald scans your codebase, finds what tools you use, and configures itself instantly.
2. 02Grounded in your product Context graph ensures grounded, token-efficient work.
3. 03Built for engineers 100% RCA accuracy on known issues; 70% on novel ones.

Predictive detection. Novel incidents. No runbooks.