Ops + cost + final consolidation

Day 45, ops plus cost, final

consolidation. Observability, cost

controls, and how to finish the exam

strong. Big idea, one sentence. If you

can't see it, trace it, and price it,

you can't run it. No matter how smart

the model is. One, observability stack.

Who does what? Logs and metrics, the

foundation. Use Amazon Cloudatch for

application logs, custom metrics,

latency, token usage, errors, alarms,

P95 latency, error spikes, guardrail

triggers, exam signal logs, metrics,

alarms, cloudatch, chat tracing, follow

a request, end to end, use AWS X-ray to

trace a request across API gateway,

Lambda model tools, see where time is

spent, debug partial failures and

retries, exam signal, end-to-end

latency, bottleneck, trace, X-ray,

Synthetic monitoring. Catch failures

before users do. Use Amazon Cloudatch

synthetics to run scheduled canaries.

Test endpoints off chat streaming.

Detect outages before real traffic

fails. Exam Signal Proactive Monitoring

Canary availability check. Synthetics.

Dashboards. One pane of glass. Use

Amazon manage graphana. When multiple

teams need shared dashboards, you want

cross account, cross region visibility.

Cloudatch alone becomes too fragmented.

Exam nuance. Graphana visualizes.

Cloudatch stores.

Two. How these fit together. Exam safe

mental model. You can see the code in

our conversation history.

If an answer replaces Cloudatch with

Graphfana, Graphfana does not collect

data. Three. Cost controls. This is exam

gold. Cost visibility. Use AWS cost

explorer to see cost by service account

tag. Track trends. Identify top

spenders, eg. Bedrock, SageMaker, Open

Search, Exam Signal, analyze costs, cost

breakdown, cost explorer, cost anomaly

detection. Enable cost anomaly detection

to detect sudden spend spikes, alert on

unexpected usage, eg runaway token

streaming, reduce blast radius quickly.

Exam signal, unexpected spike, alert on

spend, anomaly detection.

Where Genai, costs usually hide. Token

streaming without limits, retries and

loops, embeddings rebuilt too often,

over verbose logging, unused endpoints

left running. AWS loves questions where

ops mistakes equals cost explosions. For

AWS static 2, why ops is plus two.

Static dashboards, alarms, canaries,

cost budgets, and alerts. Plus one live

execution plus two operator/ a s sur

reviewing trends over time. You're not

just reacting, you're learning from

history.

Precision under fatigue. Same format.

Focus on why distractors are wrong.

After each set, do postmortem analysis.

Six. The wrong answer taxonomy. This is

the secret weapon. For every wrong

answer, classify why you missed it. Do

not just reread the explanation. Use

this taxonomy. One, service confusion.

Picked Cloudatch instead of X-Ray. Pick

Macy instead of comprehend. Picked A2I

instead of ground truth. Two,

architecture trade-off. Step functions

versus event bridge SQS. Manage KB

versus Open Search versus Aurora.

Websockets versus SSE. Three, security

detail. AN versus Oz. WAFIS cognto.

Secrets versus config. Four, ops versus

governance logs instead of audit trails.

Monitoring instead of lineage. Guard

rails instead of moderation workflow.

Five, cost blind spot. Ignored streaming

token limits. Forgot anomaly detection.

Misbatchf real-time inference cost. Six,

static misunderstanding. Forgot static

plus one or static plus two. Designed

per request logic instead of fixed

systems. Patterns repeat. Weak spots

shrink fast when labeled.

Number seven, final consolidation map.

Everything connects. Build bedrock sage

maker. Retrieve open search KB. Control

guardrails moderation secure cognto waff

govern model cards glue cloud trail

observe cloudatch x-ray graphana protect

cost explorer plus anomalies AWS exams

test connections not silos

one memory story last lockin the control

room cloudatch gauges and alarms x-ray

wiring diagram synthetics test drones

graphana big screen wall cost explorer

monthly fuel

Anomaly detection. Something's wrong.

Siren. If the room is dark, you're

flying blind.

Final exam compression rules. Logs

metrics. Cloudatch. Traces. X-ray.

Proactive uptime. Synthetics. Unified

dashboards. Graphana. Cost visibility.

Cost explorer. Cost spikes. Anomaly

detection. If an answer ignores ops

cost, it's incomplete. At prolet AWS is

really testing on day 45. They're

asking, "Can you operate this Genai

system for months, not minutes?"

If you can, observe, trace, alert,

control cost, learn from failures.

You're ready.