OBS-01 · Observability, Testing and Automation
Find the cause, not just the alarm.
Stream network telemetry, detect anomalies, and trace root causes with a model you can explain to your team.
You build: a streaming telemetry pipeline with anomaly detection.
Prefer to be taught it live? AI Infrastructure Security & Observability (AIC-330, 2 days) is the same material delivered in a scheduled cohort by an instructor, in person or online. See the live course · Live dates
Promise
Build a streaming telemetry pipeline, detect anomalies, and find root causes with a model you can explain.
Prerequisites
basic statistics; Python.
Units
1. Telemetry fundamentals ch 01–06
what to collect, pipelines and stream processing, time-series storage, visualization.
2. AIOps ch 07–13
fundamentals, anomaly detection, forecasting, root-cause analysis, alert convergence, capacity planning, automated remediation.
3. Specialized domains ch 14–19
security, unified cloud-network monitoring, containers, 5G and edge, big-data integration, real-time diagnostics.
4. Benchmarks and cases ch 20–23
SLAs and three industry case studies.
5. Deployment and cost ch 24–26
model deployment, high availability, cost.
6. Hands-on and close ch 27–30
open-source stack, commercial tools, a telemetry collector, summary.
Labs
Each lab names its environment and a pass check. Labs are not marked complete on "it ran" — the pass check has to hold.
| Lab | What you do | Environment |
|---|---|---|
| OBS-01ach 29 | Build a telemetry collector in PythonPass check: Counters stored as time series | vm120 min |
| OBS-01bch 08 | Anomaly detection on the collected seriesPass check: Injected anomaly flagged | vm90 min |
| OBS-01cch 09 | Traffic forecastPass check: Error reported on a holdout set | vm90 min |
| OBS-01dch 10 | Root-cause analysis on an incidentPass check: Correct cause ranked first | vm90 min |
Capstone project · CAP-06
Telemetry-Driven Test Pipeline · 2 weeks
A team's network changes ship without automated performance checks.
Build a pipeline: traffic test, metrics collection, regression detection, and a promotion gate.
Deliverables: Pipeline code, a seeded-regression demo, report template.
Outcomes
- I can build a collector that turns counters into time series.
- I can detect a traffic anomaly and say why the detector fired.
- I can explain why an alert is correlated with its root cause.
Also in
How it runs
Work through the units in order. Each unit groups the chapters of the study guide with its share of the labs. You can start any time; there is no cohort date and nothing expires.
Labs run in a VM, a container, a simulator or on real hardware, and the card above names which. Where a lab needs hardware — an RDMA NIC, a programmable switch model, an FPGA — there is a simulator fallback so you are never blocked by equipment.
Questions
Do I get a certificate?
You get a completion record for the course. Path badges and project credentials are earned by passing the labs and the project review, not by attendance.
Can my team take this together?
Yes — and if you would rather have it delivered live, with the instructor in the room, this course also exists as a scheduled live cohort. See the live dates.
How long does it take?
≈ 30 h of study including the labs. Most engineers take it part-time over a few weeks.