OperationsAdvanced12 submodules

Site Reliability Engineering

Define measurable reliability through SLIs, SLOs, SLAs, and error budgets, then run on-call, incident, capacity, postmortem, and toil-reduction practices around those objectives.

How this module works

From concept to production evidence

Measure service from the user perspective, choose a target with business context, use burn rate to guide urgency, restore service before perfect diagnosis, learn without blame, and invest recovered time in removing recurring toil.

Learning outcomes

Define useful SLIs and SLOs
Calculate and use error budgets
Explain availability and reliability trade-offs
Design incident, on-call, runbook, and postmortem practice
Plan capacity and reduce toil

Flow diagram

Site Reliability Engineering end-to-end flow

Use this sequence as the operating backbone for every submodule note and hands-on exercise.

01
Measure user signalSite Reliability Engineering stage 1: measure user signal with an auditable result before the next stage begins.
02
Compare with SLOSite Reliability Engineering stage 2: compare with slo with an auditable result before the next stage begins.
03
Detect budget burnSite Reliability Engineering stage 3: detect budget burn with an auditable result before the next stage begins.
04
Respond with runbookSite Reliability Engineering stage 4: respond with runbook with an auditable result before the next stage begins.
05
Restore serviceSite Reliability Engineering stage 5: restore service with an auditable result before the next stage begins.
06
Learn and remove toilSite Reliability Engineering stage 6: learn and remove toil with an auditable result before the next stage begins.

Integrated hands-on lab

Create an SRE operating model

Choose service journey and SLIs
Set SLO and error-budget policy
Create alert and on-call runbook
Run an incident exercise
Write postmortem and toil backlog

Complete module contents

12 full submodule notes

Read in order

SLI

SLI turns service behavior into evidence that supports detection, diagnosis, capacity decisions, and measurable reliability within Site Reliability Engineering. It is not an isolated definition: its value appears when it supports measure service from the user perspective, choose a target with business context, use burn rate to guide urgency, restore service before perfect diagnosis, learn without blame, and invest recovered time in removing recurring toil.

Open full notes

SLO

SLO turns service behavior into evidence that supports detection, diagnosis, capacity decisions, and measurable reliability within Site Reliability Engineering. It is not an isolated definition: its value appears when it supports measure service from the user perspective, choose a target with business context, use burn rate to guide urgency, restore service before perfect diagnosis, learn without blame, and invest recovered time in removing recurring toil.

Open full notes

SLA

SLA turns service behavior into evidence that supports detection, diagnosis, capacity decisions, and measurable reliability within Site Reliability Engineering. It is not an isolated definition: its value appears when it supports measure service from the user perspective, choose a target with business context, use burn rate to guide urgency, restore service before perfect diagnosis, learn without blame, and invest recovered time in removing recurring toil.

Open full notes

Error budgets

Error budgets restores a safe service state while preserving evidence and reducing the chance that mitigation introduces a second failure within Site Reliability Engineering. It is not an isolated definition: its value appears when it supports measure service from the user perspective, choose a target with business context, use burn rate to guide urgency, restore service before perfect diagnosis, learn without blame, and invest recovered time in removing recurring toil.

Open full notes

Availability

Availability turns service behavior into evidence that supports detection, diagnosis, capacity decisions, and measurable reliability within Site Reliability Engineering. It is not an isolated definition: its value appears when it supports measure service from the user perspective, choose a target with business context, use burn rate to guide urgency, restore service before perfect diagnosis, learn without blame, and invest recovered time in removing recurring toil.

Open full notes

Reliability

Reliability provides a concrete platform capability that must be configured, secured, validated, observed, and owned throughout its lifecycle within Site Reliability Engineering. It is not an isolated definition: its value appears when it supports measure service from the user perspective, choose a target with business context, use burn rate to guide urgency, restore service before perfect diagnosis, learn without blame, and invest recovered time in removing recurring toil.

Open full notes

Incident management

Incident management provides a concrete platform capability that must be configured, secured, validated, observed, and owned throughout its lifecycle within Site Reliability Engineering. It is not an isolated definition: its value appears when it supports measure service from the user perspective, choose a target with business context, use burn rate to guide urgency, restore service before perfect diagnosis, learn without blame, and invest recovered time in removing recurring toil.

Open full notes

On-call

On-call provides a concrete platform capability that must be configured, secured, validated, observed, and owned throughout its lifecycle within Site Reliability Engineering. It is not an isolated definition: its value appears when it supports measure service from the user perspective, choose a target with business context, use burn rate to guide urgency, restore service before perfect diagnosis, learn without blame, and invest recovered time in removing recurring toil.

Open full notes

Runbooks

Runbooks provides a concrete platform capability that must be configured, secured, validated, observed, and owned throughout its lifecycle within Site Reliability Engineering. It is not an isolated definition: its value appears when it supports measure service from the user perspective, choose a target with business context, use burn rate to guide urgency, restore service before perfect diagnosis, learn without blame, and invest recovered time in removing recurring toil.

Open full notes

Postmortems

Postmortems provides a concrete platform capability that must be configured, secured, validated, observed, and owned throughout its lifecycle within Site Reliability Engineering. It is not an isolated definition: its value appears when it supports measure service from the user perspective, choose a target with business context, use burn rate to guide urgency, restore service before perfect diagnosis, learn without blame, and invest recovered time in removing recurring toil.

Open full notes

Capacity planning

Capacity planning provides a concrete platform capability that must be configured, secured, validated, observed, and owned throughout its lifecycle within Site Reliability Engineering. It is not an isolated definition: its value appears when it supports measure service from the user perspective, choose a target with business context, use burn rate to guide urgency, restore service before perfect diagnosis, learn without blame, and invest recovered time in removing recurring toil.

Open full notes

Toil reduction

Toil reduction provides a concrete platform capability that must be configured, secured, validated, observed, and owned throughout its lifecycle within Site Reliability Engineering. It is not an isolated definition: its value appears when it supports measure service from the user perspective, choose a target with business context, use burn rate to guide urgency, restore service before perfect diagnosis, learn without blame, and invest recovered time in removing recurring toil.

Open full notes