Monitoring and Observability
Prometheus Setup and Configuration
Install Prometheus on your server following the official documentation.
Configure Prometheus to scrape metrics from various sources, such as Node Exporter, Jenkins, and other relevant services.
Define scrape intervals, timeouts, and metric paths according to your monitoring needs.
Customize Prometheus configuration for alerting and recording rules as required.

Integration with Node Exporter and Scraping Metrics
Set up and configure Node Exporter on your server to expose system-level metrics.
Configure Prometheus to scrape metrics from the Node Exporter endpoint.
Identify and select the relevant metrics from Node Exporter, such as CPU usage, memory usage, disk utilization, and network traffic.
Use Prometheus query language (PromQL) to create queries and expressions to extract and aggregate specific metrics from Node Exporter.

Grafana Dashboard Setup and Visualization of Metrics
Install Grafana on your server following the official documentation.
Configure Grafana to connect with Prometheus as a data source.
Create custom dashboards in Grafana to display the metrics you want to monitor.
Design and configure visualizations, such as graphs, tables, and charts, to represent the collected metrics effectively.
Utilize Grafana features like templating, annotations, and variables to enhance the monitoring experience.


CloudWatch Integration for Monitoring AWS Services
Set up CloudWatch integration with Prometheus to scrape metrics from various AWS services.
Configure Prometheus to scrape metrics from CloudWatch using the appropriate metrics endpoint.
Use CloudWatch service-specific namespaces and metrics to monitor and visualize AWS resources like EC2 instances, S3 buckets, and more.
Leverage CloudWatch alarms and notifications to set up proactive monitoring and alerting for critical AWS resources.
Logging Practices and Tools Used
Implement centralized logging to capture logs from various components of your system.
Choose a logging solution, such as the ELK stack (Elasticsearch, Logstash, Kibana), Fluentd, or AWS CloudWatch Logs.
Configure log shipping from your application servers or containers to the logging system.
Define log parsing and filtering rules to extract relevant information from the logs.
Create visualizations and dashboards in the logging system to gain insights and troubleshoot issues effectively.
Monitoring and observability play a crucial role in maintaining the health and performance of your infrastructure and applications. By setting up Prometheus, Grafana, and integrating with relevant monitoring sources, you can gain valuable insights into system metrics, visualize trends, and detect anomalies. Additionally, leveraging tools like CloudWatch and implementing robust logging practices enables you to monitor and troubleshoot AWS services and applications effectively.
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