CAREER PROJECT · Intermediate · 1 weekend

AWS CloudWatch Monitoring Dashboard

Instrument an AWS workload with logs, metrics, dashboards, alarms and SNS notifications so failures become visible.

CloudWatchLogsMetricsAlarmsSNSSystem health

Start Project → Track Proof Cloud / AWS Engineer projects

WHAT THIS PROJECT PROVES

Make the engineering visible.

This brief is designed as portfolio evidence for a Cloud / AWS Engineer path. The goal is not to claim a hiring outcome; it is to make your implementation, judgment and tradeoffs easier to inspect.

SKILL SIGNAL

CloudWatch

Show where CloudWatch affected a real decision in the project. Include the implementation, constraint, test or measurement that makes the skill verifiable.

SKILL SIGNAL

Logs

Show where Logs affected a real decision in the project. Include the implementation, constraint, test or measurement that makes the skill verifiable.

SKILL SIGNAL

Metrics

Show where Metrics affected a real decision in the project. Include the implementation, constraint, test or measurement that makes the skill verifiable.

SKILL SIGNAL

Alarms

Show where Alarms affected a real decision in the project. Include the implementation, constraint, test or measurement that makes the skill verifiable.

SKILL SIGNAL

SNS

Show where SNS affected a real decision in the project. Include the implementation, constraint, test or measurement that makes the skill verifiable.

SKILL SIGNAL

System health

Show where System health affected a real decision in the project. Include the implementation, constraint, test or measurement that makes the skill verifiable.

BUILD PLAN

Finish the core before expanding the scope.

Use this as a project sequence, not a rigid tutorial. Your stack can change; the evidence should still show what you built, why you built it that way and how you know it works.

Define the scope and success criteria

Turn the brief into a small finishable system. Decide what the core AWS CloudWatch Monitoring Dashboard must do, what you will deliberately leave out, and how you will show that it works.

Build the core workflow

Instrument an AWS workload with logs, metrics, dashboards, alarms and SNS notifications so failures become visible. Keep the first pass focused on the main user or system flow before adding stretch features.

Add engineering proof

Create monitoring dashboard and alarm demo. Document the decisions, failure states, tests, performance, security or operational tradeoffs that matter for this project.

Ship and package the evidence

Publish the strongest artifacts, including sns notification, failure drill, operations runbook. Make it easy for a reviewer to understand the problem, architecture, tradeoffs and what you personally implemented.

PORTFOLIO PROOF CHECKLIST

Leave artifacts a reviewer can inspect.

A strong project page should make it possible to understand the system without guessing what you personally built.

Monitoring dashboard

Alarm demo

SNS notification

Failure drill

Operations runbook

A concise README explaining the problem, architecture and tradeoffs

A working demo, API example or reproducible run path

Evidence of testing, monitoring, performance, accessibility or reliability where relevant

RESUME / PORTFOLIO FRAMING

Describe what you actually did.

Instrumented an AWS workload with CloudWatch logs, metrics, dashboards and alerting to improve operational visibility.

Use this as a starting structure, then replace it with your real implementation details, metrics and constraints. Do not claim outcomes you did not measure.

Validate the shipped project →

INTERVIEW TALKING POINTS

Be ready to defend the decisions.

These prompts turn the project from a repository link into a technical conversation about judgment, tradeoffs and evidence.