Overview of Project ☁️

Scenario

CloudNova, a growing SaaS company, has already deployed its application on AWS, and the infrastructure is stable. But once the system went live, a new problem showed up: operating it in production.

Right now:

• Failures are noticed only after users complain
• There is no clear visibility into application health
• Logs exist, but they are scattered and hard to use
• No alerts fire when something breaks
• Incident response is slow and mostly manual

As usage grows, these gaps lead to downtime, delayed recovery, and poor customer experience.

To run production systems properly, the team needs a way to monitor health continuously, get alerted automatically, and respond to incidents faster.

Our Solution

The goal is to build a production monitoring + alerting setup on AWS focused on DevOps work.

• Application and infrastructure emit metrics and logs
• Amazon CloudWatch collects and centralizes them
• CloudWatch Alarms track key health signals
• Alerts are routed through Amazon SNS
• Engineers get notified immediately when issues occur
• Logs and metrics are used to investigate and resolve incidents

This moves the team from reacting after outages to detecting issues early and responding with confidence.

About the Project

In this hands-on project, you will set up monitoring for an already-deployed AWS workload — just like real DevOps teams do in production.

You will learn how to:

• Centralize logs using CloudWatch Logs
• Track key production metrics (CPU, memory, errors, latency)
• Create actionable CloudWatch alarms
• Send notifications using Amazon SNS
• Simulate failures and practice incident response
• Investigate issues using logs + metrics

By the end, you’ll have a monitoring setup that demonstrates real-world DevOps operational skills.

Steps To Be Performed 👩‍💻

1. Identify key metrics and logs to monitor.
2. Enable and centralize logs in CloudWatch.
3. Create CloudWatch dashboards for visibility.
4. Configure CloudWatch Alarms for failure scenarios.
5. Send alert notifications using Amazon SNS.
6. Simulate failures and verify alerts trigger correctly.
7. Investigate incidents using logs and metrics.

Services Used 🛠

• Amazon CloudWatch Metrics – Monitor infrastructure and application health
• Amazon CloudWatch Logs – Centralized logging for troubleshooting
• Amazon CloudWatch Alarms – Detect failures and abnormal behavior
• Amazon SNS – Send incident alerts to engineers
• AWS IAM – Secure permissions for monitoring and alerting

Estimated Time & Cost ⚙️

• Estimated Time: 2 - 3 hours
• Cost: $0 - $2 (within Free Tier when cleaned up)

➡️ Architectural Diagram

Here is the architecture diagram for this project:

➡️ Final Result

Once completed, you’ll have:

• Centralized logs and metrics visibility for production workloads.
• Automated alerts for common incident scenarios.
• Real incident-response practice using CloudWatch data.