- Identify the key metrics, logs, and events that need to be monitored for the application or infrastructure.
- Determine the monitoring frequency and the level of granularity required.
- Define the desired service-level objectives (SLOs) and establish baseline performance benchmarks.
- Select suitable monitoring tools and technologies that align with the organization's requirements.
- Set up a centralized monitoring platform to collect, store, and analyze monitoring data.
- Define monitoring dashboards and visualizations to provide real-time insights into system health and performance.
- Define alerting thresholds based on the identified metrics and desired performance levels.
- Configure alerting rules and notification channels to ensure timely detection and communication of critical issues.
- Establish escalation policies and assign responsibilities for handling different types of alerts.
- Integrate monitoring agents and instrumentation into the application code, infrastructure, and relevant components.
- Enable automated data collection and aggregation from various sources, such as logs, performance metrics, and system events.
- Implement proactive monitoring checks and health probes to detect anomalies and potential issues in real time.
- Regularly review and analyze monitoring data to identify performance bottlenecks, recurring issues, and areas for improvement.
- Optimize alerting thresholds and fine-tune monitoring configurations based on ongoing feedback and insights.
- Conduct regular performance reviews and capacity planning exercises to ensure the monitoring system remains effective as the application and infrastructure scale.
