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Home - Lessons - AWS Cloud Operations - M1 — Operating Model and Observability - The three signals: metrics, logs and traces

AWS Cloud Operations The three signals: metrics, logs and traces
AWS Cloud Operations
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M1 — Operating Model and Observability
What cloud operations owns and where it hands over to other roles
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The three signals: metrics, logs and traces
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Service level objectives and error budgets in practice
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Reading an incident timeline and what it tells you
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Runbooks, escalation paths and on-call discipline
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Distinguishing a symptom, a cause and a contributing factor
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M2 — Monitoring with CloudWatch
Metrics, namespaces and custom metrics from your own code
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Dimensions, statistics and period selection that do not mislead
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Alarms: thresholds, anomaly detection and composite alarms
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Dashboards that answer questions rather than decorate
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Log groups, filters, metric filters and subscription filters
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Cross-account and cross-region monitoring aggregation
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M3 — Automation with Systems Manager
The agent, hybrid activation and the managed node model
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Run Command versus Session Manager versus SSH
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State Manager for configuration that persists
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Automation documents and parameterised execution
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Patch Manager for scheduled, scoped patching
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Fleet-wide change without a change window panic
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M4 — Patch, Compliance and Configuration
Building a patch baseline and an approval process
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Scheduling patching that respects production load
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AWS Config rules and what conformance actually evidences
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Drift detection on CloudFormation stacks
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Retention, deletion and legal-hold requirements
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Turning compliance findings into a fix queue
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M5 — Incident Response and Problem Management
Detect, triage, contain: the order matters
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Using CloudWatch and CloudTrail to establish what happened
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Communication: status pages and stakeholder updates
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Post-incident review without blame and without vagueness
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Root cause analysis that finds the contributing conditions
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Turning a fix into a prevention so it does not recur
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M6 — Backup, Recovery and Business Continuity
Defining RPO and RTO from a business conversation
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AWS Backup plans, vaults and lifecycle
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Cross-region and cross-account copy for real resilience
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Restore testing: the part almost everybody skips
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Disaster recovery strategies from backup to pilot light
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Tabletop exercises that expose the gap before an outage does
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M7 — Cost and Capacity Operations
Reading a cost explorer report and attributing spend
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Budgets, alerts and stopping a runaway resource
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Rightsizing recommendations and their caveats
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Reserved instances, savings plans and commitment risk
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Trusted Advisor and Health dashboards as daily input
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The FinOps habit: cost as an operating signal, not a monthly surprise
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M8 — Capstone: Run an Estate for a Week
Stand up monitoring, alarms and dashboards for a live workload
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Automate patching and configuration across the fleet
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Execute an incident end to end with a written timeline
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Run a restore test and record the actual recovery time
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Produce a cost report with three concrete savings actions
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Hand the operation over to another engineer from your documentation
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