Trace without traces
The trace was sampled out. I found the bug anyway — by filtering recorded traffic on the customer's email instead of a trace ID. Here's how to follow one request across four services with no trace IDs and no OpenTelemetry.
Posts by Matt LeRay
Co-founder and CTO of Speedscale, expert in Agentic AI and cloud data warehousing. • 9 posts published
The Three Pillars Were Built for Humans
Metrics, logs, and traces were built for humans and cheap storage. AI inverts both assumptions, and the next maturity level is a deterministic replay sandbox.
Five things your logs will never tell you
Logs, metrics, and traces are a lossy compression of production. Five things you can do with a traffic data lake that observability can't.
The Kubeshark Workflow That Doesn't Stop at the Dashboard
A Kubeshark alternative that goes beyond observability. Stream live cluster traffic into proxymock, then replay or mock it locally from your laptop.
Replay Real Customer API Sessions as Datadog Synthetics Tests
Export recorded proxymock traffic to Datadog Synthetics in one command. Auth headers redacted, global variables created. No scripting, no flaky journeys.
Replace API Synthetics with Traffic Replay
UI synthetics only tell you something is broken. Traffic replay per microservice isolates failures before any human walks up. Zero scripts required.
Why Autonomous AI Agents Can't Run on SaaS Infrastructure
SaaS AI fails when agents need continuous access to your codebase and internal APIs. Here's why BYOC is the only deployment model that works at scale.
The Observability Gap: Why Monitoring Data Should Drive Tests
Teams spend six figures on observability but test with synthetic data. Close the gap between what you know about production and what you validate pre-release.
Debugging Encrypted Microservice Traffic with Speedscale's eBPF Collector
Learn how to capture, inspect, archive encrypted microservice traffic with Speedscale's eBPF collector, no certificate management or code changes required.
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