checkout.api
{
"trace_id": "tr_7af21e",
"user_id": 118204,
"request": {
"sku": "SKU-847",
"currency": "EUR",
"region": "DE"
}
} Softprobe Context Engine
The Softprobe Context Engine provides right context for debugging across infrastructure and business logic, without requiring perfect logging.
Move from reactive alert chasing to preventive reliability with runtime proof.
sequenceDiagram
participant Checkout
participant Discount
participant Tax
participant OrderDB
participant Response
Checkout->>Discount: POST /discounts/apply
Discount->>Tax: subtotal + discount
Tax->>OrderDB: INSERT order_id=88421
OrderDB-->>Response: EUR 118.47 checkout.api
{
"trace_id": "tr_7af21e",
"user_id": 118204,
"request": {
"sku": "SKU-847",
"currency": "EUR",
"region": "DE"
}
} [INFO] checkout.api accepted request for user 118204
Softprobe AI
The AI knows your production at runtime, not just code & docs.
Example is better than precept
Learn from both runtime sessions and static source code/docs.
Grounded context
Make decisions from production behavior, not just static docs.
Problem: "Add Redis cache to speed up pricing" sounds safe, until you see real request context.
Evidence:
coupon_set / loyalty_tier / regionConclusion: Cache final price for 5 minutes TTL won't work.
Recommendation: Cache only stable components. Recompute contextual modifiers.
# safe_cache_policy.yaml
cache_targets:
- name: base_sku_price
key: "sku:{sku_id}"
ttl: 300s
do_not_cache:
- final_price # depends on context
- tax_amount # depends on region + address
- discount # depends on loyalty_tier + coupon_set
required_cache_dimensions:
- region
- loyalty_tier
- coupon_set_hashRuntime workflow proof
Observed runtime paths:
Checkout -> Pricing -> DiscountEngine -> Tax -> Rounding -> Response
Branching drivers:
coupon_set present? (Y/N)loyalty_tier (0/1/2/3)region (US/EU/UK/JP)2:03 AM β Checkout degradation detected
Retry amplification triggered by upstream latency spike.
Checkout -> Payment (retry x5)
-> Fraud (retry x4)
-> Bank API slowdown 1 request -> 20 downstream calls
CPU saturation in 2 minutes.
# destination-rule.yaml
apiVersion: networking.istio.io/v1beta1
kind: DestinationRule
spec:
trafficPolicy:
connectionPool:
http:
maxRetries: 3
outlierDetection:
consecutive5xxErrors: 5
interval: 10s
baseEjectionTime: 30s
Fast remediation
From alert to safe resolution, with validation gates before rollout.