Task Statement 1.4: Define logging and monitoring requirements across AWS and hybrid networks.

📘AWS Certified Advanced Networking – Specialty

Monitoring and logging are critical for operating and troubleshooting AWS and hybrid network environments. Organizations must monitor network health, detect issues quickly, and analyze logs to understand system behavior.

One of the main services used for monitoring in AWS is Amazon CloudWatch.

Amazon CloudWatch collects metrics, logs, and events from AWS services, on-premises infrastructure, and applications. It helps engineers observe system performance, create alerts, and analyze operational data.

For the AWS Certified Advanced Networking – Specialty exam, you must understand how CloudWatch components work together to provide complete visibility across AWS and hybrid environments.

1. Overview of Amazon CloudWatch

Amazon CloudWatch is a monitoring and observability service that allows you to:

Collect metrics from AWS services and custom applications
Store and analyze log files
Trigger alarms when thresholds are exceeded
Visualize data through dashboards
Perform advanced log analysis

CloudWatch supports monitoring for:

AWS infrastructure
Application workloads
Network services
Hybrid environments (AWS + on-premises)

Typical monitored components include:

EC2 instances
Load balancers
VPC networking
VPN connections
Direct Connect
Containers and Kubernetes
On-premises servers

CloudWatch collects two major types of operational data:

Metrics – numerical performance measurements
Logs – detailed records of system or application events

2. Amazon CloudWatch Metrics

CloudWatch Metrics are numerical measurements collected over time.

They represent system performance data such as:

CPU utilization
Network traffic
Disk operations
Application response time
Packet loss or latency
Load balancer request count

Each metric consists of:

Namespace – category of the metric
Metric name
Dimensions
Timestamp
Value

Example IT Monitoring Scenario

A company runs multiple application servers on EC2 behind a load balancer.

CloudWatch collects metrics such as:

CPU usage of each server
Network packets sent/received
Number of HTTP requests handled

Network engineers can monitor whether:

Instances are overloaded
Traffic is increasing
Response times are degrading

Metric Types

1. Default AWS Metrics

AWS services automatically send metrics to CloudWatch.

Examples include:

Amazon EC2
- CPUUtilization
- NetworkIn
- NetworkOut
Elastic Load Balancing
- RequestCount
- HealthyHostCount
- TargetResponseTime
Amazon VPC
- NAT gateway metrics
- VPN connection metrics

2. Custom Metrics

Organizations can publish their own metrics.

Examples:

Number of failed login attempts
Application queue length
Network throughput of internal services

These metrics are sent to CloudWatch using:

AWS CLI
SDK
CloudWatch agent

Metric Resolution

CloudWatch supports two metric resolutions:

Standard Resolution

1 minute interval

High Resolution

1 second interval

High-resolution metrics are used for high-performance applications and networking workloads.

3. CloudWatch Agent

The CloudWatch Agent is software installed on servers to collect additional system-level data.

It can run on:

EC2 instances
On-premises servers
Virtual machines in hybrid environments

The CloudWatch agent collects:

System Metrics

Memory usage
Disk utilization
Disk I/O
Network interfaces

These metrics are not available by default in EC2 monitoring.

Log Files

The agent can send application logs to CloudWatch Logs.

Example logs:

Application server logs
Web server access logs
Database logs
Operating system logs

Hybrid Network Monitoring

For hybrid architectures that use AWS Direct Connect or AWS Site-to-Site VPN, the CloudWatch agent can monitor:

On-premises server performance
Network traffic metrics
Application logs from on-premises infrastructure

This provides centralized monitoring across AWS and on-premises environments.

4. Amazon CloudWatch Logs

Amazon CloudWatch Logs stores and manages log files from AWS services and applications.

Logs provide detailed operational data that helps diagnose issues.

CloudWatch Logs supports:

Centralized log storage
Real-time log streaming
Log search
Log filtering
Long-term retention

Log Structure

CloudWatch Logs organizes logs into three levels:

Log Group

A collection of logs for a specific service or application.

Example:

/aws/vpc/flowlogs
/application/webserver

Log Stream

A sequence of log events from a specific source.

Example:

A single EC2 instance
A container
A specific application process

Log Events

Individual log entries containing:

Timestamp
Message

Example log event:

[Timestamp] Connection attempt from 10.1.1.25

5. CloudWatch Alarms

Amazon CloudWatch Alarms monitor metrics and trigger actions when thresholds are exceeded.

Alarms help detect problems automatically.

Alarm Components

An alarm contains:

Monitored metric
Threshold value
Evaluation period
Alarm state

Possible states:

OK – system is healthy
ALARM – threshold exceeded
INSUFFICIENT DATA – not enough data yet

Alarm Example in IT Environments

A network team may configure alarms for:

High network packet loss
High CPU usage on gateway instances
VPN tunnel failure
Load balancer latency increases

Alarm Actions

When an alarm triggers, CloudWatch can perform actions such as:

Send notifications
Execute automation
Scale infrastructure

Notifications are usually sent through Amazon Simple Notification Service.

Examples:

Email alerts to network engineers
Triggering automated recovery
Starting additional instances

6. CloudWatch Dashboards

Amazon CloudWatch Dashboards provide visual monitoring interfaces.

Dashboards display metrics in:

Graphs
Charts
Tables
Status indicators

Dashboards allow teams to view system health in real time.

Typical Network Dashboard Metrics

Network dashboards may display:

VPN tunnel status
Direct Connect bandwidth utilization
Load balancer request count
EC2 network traffic
Packet error rates
Application latency

This allows engineers to quickly identify network issues.

7. CloudWatch Logs Insights

Amazon CloudWatch Logs Insights is a log analytics tool used to query log data.

It allows engineers to:

Search logs using queries
Detect errors
Identify traffic patterns
Troubleshoot network or application problems

Logs Insights Query Language

Logs Insights uses a query language designed for log analysis.

Example query:

fields @timestamp, @message
| filter status = 500
| sort @timestamp desc
| limit 20

This query finds recent application errors.

Networking Troubleshooting Example

Logs Insights can be used to analyze:

VPC Flow Logs
Firewall logs
Application access logs

Engineers can quickly identify:

Failed connections
High latency traffic
Suspicious network activity

8. Monitoring Network Services with CloudWatch

CloudWatch is commonly used to monitor AWS networking services such as:

Amazon VPC
AWS Transit Gateway
AWS Direct Connect
Elastic Load Balancing

Metrics that may be monitored include:

Packet drops
Tunnel status
Network throughput
Error rates
Latency

These metrics help ensure network reliability and performance.

9. Monitoring Hybrid Architectures

In hybrid environments (AWS + on-premises), CloudWatch provides centralized monitoring.

Monitoring sources may include:

AWS infrastructure
On-premises servers
Network gateways
Container clusters
Application services

Using CloudWatch agents and APIs, organizations can collect data from all environments and analyze it in a single monitoring platform.

10. CloudWatch Best Practices for the Exam

For the AWS Advanced Networking exam, remember these best practices.

Use Metrics for Performance Monitoring

Monitor key network performance indicators:

Latency
Throughput
Packet errors
Traffic volume

Use Logs for Troubleshooting

Logs provide detailed diagnostic information such as:

Connection attempts
Security events
Application errors

Use Alarms for Automated Response

Configure alarms to detect:

Infrastructure failures
High resource usage
Network connectivity issues

Use Dashboards for Operational Visibility

Dashboards allow teams to:

Monitor system health
Track performance trends
Quickly identify issues

Use Logs Insights for Advanced Analysis

Logs Insights helps teams:

Identify patterns
Investigate incidents
Analyze large log datasets quickly

11. Key Exam Points to Remember

For the AWS Certified Advanced Networking – Specialty exam, focus on the following concepts:

Amazon CloudWatch provides monitoring and observability across AWS and hybrid networks.
Metrics track system performance over time.
CloudWatch Agent collects system metrics and logs from EC2 and on-premises servers.
CloudWatch Logs centralizes log storage and analysis.
CloudWatch Alarms trigger automated alerts when thresholds are exceeded.
CloudWatch Dashboards provide visual monitoring of infrastructure and applications.
CloudWatch Logs Insights enables advanced log analytics and troubleshooting.
CloudWatch can monitor AWS services, applications, and hybrid infrastructure from a single platform.