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Home - Lessons - AWS Cloud Operations - M1 — Operating Model and Observability - Distinguishing a symptom, a cause and a contributing factor

AWS Cloud Operations Distinguishing a symptom, a cause and a contributing factor

AWS Cloud Operations

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M1 — Operating Model and Observability

What cloud operations owns and where it hands over to other roles

The three signals: metrics, logs and traces

Service level objectives and error budgets in practice

Reading an incident timeline and what it tells you

Runbooks, escalation paths and on-call discipline

Distinguishing a symptom, a cause and a contributing factor

M2 — Monitoring with CloudWatch

Metrics, namespaces and custom metrics from your own code

Dimensions, statistics and period selection that do not mislead

Alarms: thresholds, anomaly detection and composite alarms

Dashboards that answer questions rather than decorate

Log groups, filters, metric filters and subscription filters

Cross-account and cross-region monitoring aggregation

M3 — Automation with Systems Manager

The agent, hybrid activation and the managed node model

Run Command versus Session Manager versus SSH

State Manager for configuration that persists

Automation documents and parameterised execution

Patch Manager for scheduled, scoped patching

Fleet-wide change without a change window panic

M4 — Patch, Compliance and Configuration

Building a patch baseline and an approval process

Scheduling patching that respects production load

AWS Config rules and what conformance actually evidences

Drift detection on CloudFormation stacks

Retention, deletion and legal-hold requirements

Turning compliance findings into a fix queue

M5 — Incident Response and Problem Management

Detect, triage, contain: the order matters

Using CloudWatch and CloudTrail to establish what happened

Communication: status pages and stakeholder updates

Post-incident review without blame and without vagueness

Root cause analysis that finds the contributing conditions

Turning a fix into a prevention so it does not recur

M6 — Backup, Recovery and Business Continuity

Defining RPO and RTO from a business conversation

AWS Backup plans, vaults and lifecycle

Cross-region and cross-account copy for real resilience

Restore testing: the part almost everybody skips

Disaster recovery strategies from backup to pilot light

Tabletop exercises that expose the gap before an outage does

M7 — Cost and Capacity Operations

Reading a cost explorer report and attributing spend

Budgets, alerts and stopping a runaway resource

Rightsizing recommendations and their caveats

Reserved instances, savings plans and commitment risk

Trusted Advisor and Health dashboards as daily input

The FinOps habit: cost as an operating signal, not a monthly surprise

M8 — Capstone: Run an Estate for a Week

Stand up monitoring, alarms and dashboards for a live workload

Automate patching and configuration across the fleet

Execute an incident end to end with a written timeline

Run a restore test and record the actual recovery time

Produce a cost report with three concrete savings actions

Hand the operation over to another engineer from your documentation

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