Correlate Market Volume with App Errors for Fintech Teams
Fintech observability teams need external market context to quickly diagnose application issues. Surge provides real-time unusual volume alerts to correlate with internal system metrics.
The problem
When a fintech application experiences performance degradation, latency spikes, or error rate increases, distinguishing between an internal system fault and an external market event is a critical challenge. For instance, a sudden surge in trading volume for a specific asset might overload downstream services, but without this external context, developers might waste precious time investigating internal code or infrastructure that is operating as expected under extreme load.
Building this correlation capability requires integrating real-time market data into existing observability stacks (e.g., Datadog, Grafana), which involves significant data engineering, API management, and custom dashboard development, often delaying incident resolution.
How Surge solves it
Concrete example
// Example: Sending Surge alert to an observability platform like Datadog via Python
import requests
import json
import os
SURGE_API_KEY = os.environ.get("SURGE_API_KEY")
DATADOG_API_KEY = os.environ.get("DATADOG_API_KEY")
DATADOG_APP_KEY = os.environ.get("DATADOG_APP_KEY")
def send_to_datadog(alert):
headers = {
"Content-Type": "application/json",
"DD-API-KEY": DATADOG_API_KEY,
"DD-APPLICATION-KEY": DATADOG_APP_KEY
}
payload = {
"title": f"Surge: Unusual Volume for {alert['ticker']}",
"text": f"Volume spike detected for {alert['ticker']} at {alert['timestamp']}. Current: {alert['current_volume']}, Avg 20d: {alert['avg_volume_20d']}. Correlate with app metrics.",
"tags": ["source:surge", "market:anomaly", f"ticker:{alert['ticker'].lower()}"]
}
requests.post("https://api.datadoghq.com/api/v1/events", headers=headers, data=json.dumps(payload))
# Assume this function is triggered by a Surge webhook
def process_surge_webhook(alert_data):
if alert_data.get('type') == 'volume_spike':
send_to_datadog(alert_data)
# Example call (replace with actual webhook listener)
# process_surge_webhook({"type": "volume_spike", "ticker": "MSFT", "timestamp": "...", "current_volume": 10000000, "avg_volume_20d": 3000000})
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