CloudWatch & Observability
4 articles from official documentation
Mastering AWS X-Ray: Unraveling Your Application's Performance
AWS X-Ray is your go-to tool for pinpointing performance bottlenecks in distributed applications. With features like segments and traces, it provides deep insights into request flows and service interactions. Dive in to learn how to leverage this powerful observability tool effectively.
- →Utilize segments to capture detailed request and resource information.
- →Leverage trace IDs to track request paths and service interactions.
Mastering Log Group-Level Subscription Filters for Real-Time Observability
Unlock the power of real-time log processing with AWS subscription filters. By sending logs to Kinesis Data Streams or Lambda, you can gain immediate insights into your system's behavior. Learn how to set this up effectively and avoid common pitfalls.
- →Create a destination stream before setting up subscription filters.
- →Use IAM roles to grant CloudWatch Logs permission to send data to your stream.
Mastering Amazon CloudWatch Alarms: Key Insights for Production
CloudWatch alarms are essential for proactive resource management in AWS. They allow you to monitor metrics and trigger actions when thresholds are breached. Understanding how to configure these alarms effectively can prevent costly downtime.
- →Create metric alarms to monitor single metrics or math expressions.
- →Use composite alarms to evaluate multiple alarm states.
Unlocking Observability: Embedding Metrics in AWS Logs
Embedding metrics within logs can revolutionize your observability strategy. By using the CloudWatch embedded metric format, you can generate custom metrics asynchronously, enhancing real-time incident detection.
- →Use the CloudWatch embedded metric format to generate custom metrics asynchronously.
- →Ensure you have logs:PutLogEvents permission to embed metrics in logs.