Lesson 103 · AWS Learning Path

AWS 103: Auto Scaling groups and launch templates

Anil Jalela · Published Oct 6, 2025 · 8 min read

The real problem

A team recognizes the name Auto Scaling groups and launch templates but has not connected the feature to a real requirement, identity boundary, network or data path, failure mode, price dimension, and cleanup owner. A plausible configuration could still fail the workload.

Final outcome

The learner will produce a requirement-led artifact for Auto Scaling groups and launch templates, inspect the matching AWS control plane in the Management Console, run a matching CloudShell or AWS CLI query, interpret the output, diagnose one failure, defend one architecture choice, and prove cleanup or approved retained state.

The practical outcome is not a command transcript. It must show what was expected, what happened, what the result proves, what it does not prove, and which evidence would change the decision.

Learning objectives

By the end of this lesson, the learner can:

• explain desired capacity;
• explain launch template;
• explain multi-az placement;
• explain health replacement;
• explain warmup and grace;
• connect control-plane state to the real data, network, identity, or application behavior;
• identify cost and cleanup ownership before any optional mutation;
• troubleshoot from evidence without opening broad access or adding broad permissions.

Relationship model

Requirement
   |
   v
Identity and policy -> AWS configuration -> network or data path -> workload behavior
        |                    |                      |                    |
        +--------------------+----------------------+--------------------+
                                      |
                                      v
                         monitoring, cost, recovery, cleanup

Use this model to separate an AWS object that exists from a result that actually works. Every arrow is a verification boundary.

Prerequisites, permissions, Region, and safety

• Learning baseline: This sequence assumes practical Linux knowledge but no prior cloud-computing or AWS knowledge. Cloud, networking, security, data, automation, and architecture concepts must come from completed earlier lessons. If a prerequisite checkpoint is incomplete, return to its linked lesson before continuing.
• Confirm a non-root caller with aws sts get-caller-identity and keep the account number private.
• Use ap-south-1 unless this lesson explicitly names a second Region.
• Confirm the intended profile and Region with aws configure list before interpreting an empty result.
• Use read-only List, Get, and Describe permissions for the named services. Design exercises run locally and require no resource-creation permission.
• This is a no-create lesson. Console and CLI work is read-only, and every design artifact is created locally.
• Never publish account IDs, public addresses, ARNs containing private account data, session IDs, presigned URLs, object data, credentials, or KMS material.
• Do not use root, world-open SSH or RDP, disabled TLS verification, unowned resources, or irreversible retention controls in a training exercise.

Core model

How it works

Separate configuration rollout from capacity scaling. A launch-template version defines what to launch, instance refresh changes an existing fleet, scaling policies change how many instances run, and health checks replace failed capacity.

Read the result in layers:

1. Scope: account, Region, VPC, bucket, AZ, endpoint, principal, object version, or resource ARN.
2. Control plane: the requested configuration exists and reached an expected state.
3. Behavior: the request, connection, health check, replication, restore, or application result meets the requirement.
4. Operations: monitoring, failure owner, cost, retention, rollback, and cleanup are known.

Control-plane success is necessary but not sufficient. A resource can be available while policy, routing, DNS, health, data, or application behavior remains wrong.

Architecture decision table

Professional questions normally contain several valid services. State the requirement that selects one option, why the nearest alternative fails it, and what changed requirement would reverse the choice.

AWS Management Console guided practice

Before opening a service page, write the expected account, Region, starting state, and evidence. Do not choose Create, Save, Purchase, Lock, or Delete unless the lesson explicitly authorizes the live track.

1. Open EC2 Auto Scaling groups and inspect min, desired, max, Availability Zones, launch-template version, target groups, health check, and instance maintenance policy.
2. Open Instance management and Activity; connect each instance lifecycle and scaling activity to a specific reconciliation or health event.
3. Open Instance refresh and review preferences without starting one, including healthy percentage, warmup, checkpoints, bake time, and rollback.

For each step, capture the field name and value in text. A screenshot may support the record but does not replace the explanation. Console labels can evolve, so use the service search and current documentation if a navigation label differs.

CloudShell and AWS CLI practice

CloudShell is the default browser-based command environment taught in AWS 028. AWS 029 and AWS 030 cover local CLI installation and authentication. This lesson therefore does not assume that an unconfigured local shell is ready.

Start every session with:

export AWS_DEFAULT_REGION="ap-south-1"
aws sts get-caller-identity --query Arn --output text
aws configure list

Redact the account portion of the ARN before sharing. Then perform the topic query:

Inspect ASG limits, launch-template version, zones, target groups, health type, and current instance lifecycle.

aws autoscaling describe-auto-scaling-groups --query 'AutoScalingGroups[].{Name:AutoScalingGroupName,Min:MinSize,Desired:DesiredCapacity,Max:MaxSize,AZs:AvailabilityZones,Health:HealthCheckType,Template:LaunchTemplate,Targets:TargetGroupARNs}' --output json

Expected interpretation:

Desired equal to actual count does not prove target health, correct application version, even zonal balance, scaling responsiveness, or data durability.

Replace every replace-with-... sample value before running its command, and use only an explicitly owned resource. Explain each option first. These queries are read-only; a successful response does not authorize a later create or delete operation.

Practical work

Create p05-asg-plan.md for nw-p05-web-asg: private subnets A and B, launch template nw-p05-web-lt version 1, min 2, desired 2, max 4, target group nw-p05-web-tg, ELB health enabled, grace and warmup based on measured bootstrap time, default termination policy, and no local application state. Do not create the group.

The evidence package must contain:

• the problem and final requirement in the learner's own words;
• caller type and Region with private identifiers redacted;
• exact planned values, ownership, and cost class;
• one Console observation and matching CLI or API evidence;
• one behavior result or supplied data-plane record;
• one denied, failed, or counterexample result and evidence-led diagnosis;
• one architecture choice plus the rejected alternative;
• cleanup proof or explicit retained-state owner, expiry, and next lesson.

Verification standard

Use expected state before observed state. Record timestamps in UTC and preserve the original failure before changing anything. A passing submission answers all four questions:

1. What exact requirement was tested?
2. Which evidence proves the AWS configuration?
3. Which evidence proves the workload behavior?
4. What remains unproven or requires later monitoring?

If AWS returns no rows, verify account, Region, permission, filters, pagination, resource type, and deletion state before concluding that nothing exists.

Common failures and troubleshooting

Do not troubleshoot by attaching administrator access, opening administration ports to the internet, disabling encryption, retrying uncontrolled creation, deleting unknown resources, or weakening retention.

Cost, cleanup, and retained state

No AWS resource is created. Close CloudShell and remove or redact downloaded evidence.

Cleanup evidence requires terminal state and an after-inventory. Search related ENIs, public IPv4 addresses, EBS volumes and snapshots, load balancers, target groups, Auto Scaling instances, endpoints, logs, S3 versions and delete markers, backup recovery points, and global IAM roles when they apply. Billing data can lag, so schedule a later review.

Architecture and certification decisions

• Certification coverage: SAA-C03; SOA-C03; SAP-C02; DOP-C02.
• Exam mapping: SAA D2-D4.
• Explain service scope, failure boundary, consistency, recovery, security, operations, and price rather than matching a keyword.
• Treat availability and durability, encryption and authorization, routing and filtering, health and lifecycle, backup and replication, and discount and capacity as separate concepts.
• Do not reproduce protected certification questions.

Knowledge check

1. What is the ASG desired capacity?

Expected direction: The number of instances the group currently attempts to maintain.

1. Does updating a launch template replace existing ASG instances?

Expected direction: Not by itself. Use an instance refresh or another controlled replacement.

1. Why use multiple subnets?

Expected direction: To place capacity across Availability Zones.

1. Does ASG make a stateful application resilient automatically?

Expected direction: No. State and dependencies need separate resilient design.

Completion gate and assessment

Pass at 80 out of 100 with no critical safety failure. A missing practical artifact, unexplained output, unsafe access, destructive action outside the owned scope, unplanned billed resource, or false cleanup claim requires remediation and a changed retest.

Official sources

• Auto Scaling groups
• Launch templates for ASG
• Instance refresh
• ASG health checks