📅 Day 10 🚀 AWS CloudWatch | Monitoring Made Easy
In real AWS projects, we must always monitor our resources like EC2, RDS, Lambda, and applications to make sure everything is running smoothly.
To do this, AWS provides CloudWatch — a powerful monitoring and observability service.
CloudWatch helps us:
✔ Track metrics like CPU, Memory, and Network
✔ Monitor logs for debugging issues
✔ Set Alarms for alerts
✔ Automate actions like Auto-Scaling or restarting instances
✔ Analyze performance in real-time through dashboards
CloudWatch = Monitor + Alert + Logs + Automation
It improves uptime, reduces downtime, and makes cloud operations more efficient — which is very important for DevOps engineers! 🚀
🌥️ AWS CloudWatch
📌 What is AWS CloudWatch?
CloudWatch is a monitoring and observability service in AWS.
It collects metrics, logs, and events from AWS resources and applications so you can:
- ✔ Monitor performance
- ✔ Detect issues faster
- ✔ Automatically take actions when something goes wrong
- ✔ Improve operational health and cost visibility
🎯 Why do we use CloudWatch?
In Cloud/DevOps, we must always monitor resources like EC2, RDS, Lambda, VPC etc.
CloudWatch helps you:
- 🔹 Check CPU / Memory / Network usage
- 🔹 Monitor application logs
- 🔹 Set alarms when something is wrong
- 🔹 Automatically stop, start, or scale resources
- 🔹 Trace real-time performance
⚙️ CloudWatch Key Features
| Feature | Explanation | Example Use Case |
|---|---|---|
| Metrics | Collects performance data of AWS resources | CPU Utilization of EC2, RDS DB connections |
| Logs | Store and analyze application/system logs | Store EC2 logs for troubleshooting |
| Alarms | Trigger actions when metric crosses threshold | Auto-restart EC2 if CPU > 90% |
| Dashboards | Visual monitoring in single panel | Custom dashboard for project |
| Events / EventBridge | Automate actions based on events | Start EC2 every morning 9 AM |
| Insights | SQL-based log analysis | Find errors in Lambda logs easily |
| Synthetics & X-Ray | App monitoring & tracing | Trace API latency and errors |
| Anomaly Detection | AI detects unusual behaviour | Detect sudden traffic spike |
🚀 How to Use CloudWatch
▶ Monitoring EC2 Example
1️⃣ Go to CloudWatch Console
2️⃣ Open Metrics → EC2
3️⃣ Select CPU Utilization or Network Traffic
4️⃣ Create Alarm
5️⃣ Set threshold (ex: CPU > 80%)
6️⃣ Notify via SNS or take action (Auto scale / restart)
▶ Monitoring Logs Example
1️⃣ Install CloudWatch Agent on EC2
2️⃣ Create a Log Group (ex: /app/logs)
3️⃣ Logs will appear inside CloudWatch Logs
4️⃣ Search logs using Insights
🧠 Benefits of CloudWatch
- ✔ Real-time monitoring
- ✔ Improves uptime & system health
- ✔ Cost optimization with usage visibility
- ✔ Fast troubleshooting using logs & alerts
- ✔ Central monitoring for all AWS services
- ✔ Automation using alarms + Lambda/EventBridge
Thank You
🔗 Connect With Me
| 🌐 Platform | 🔗 Link |
|---|---|
| 🐙 GitHub | https://lnkd.in/d2F3JPa3 |
| ✍️ Dev.to Blog | https://lnkd.in/dNtgqAME |
| https://lnkd.in/d3NctxFT | |
| 📄 Resume (Google Drive) | https://lnkd.in/dHDNsd_D |
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