Monitoring & Alerts
Last updated
Last updated
Cloud Monitoring involves observing and analyzing data from cloud-based applications, services, and resources to ensure their performance, availability, security, and overall health. It utilizes monitoring tools, metrics, and alerts to evaluate the behavior and state of components within a cloud environment.
Resource Monitoring: Tracking the usage and performance of cloud resources such as virtual machines, storage, and databases.
System Monitoring Frameworks: Utilizing tools and frameworks to monitor the overall system health and performance.
Proactive Resource Management: Implementing strategies to anticipate and address potential issues before they affect the system.
Cloud Automation & Alerting: Using automated tools and alerts to manage and respond to changes or issues in the cloud environment.
Resource Monitoring
AWS CloudWatch for monitoring resources and applications.
Azure Monitor for tracking performance and health of Azure resources.
Google Cloud Monitoring (formerly Stackdriver) for observing and managing cloud resources.
System Monitoring Frameworks
AWS CloudTrail for auditing API activity and AWS Config for resource configurations.
Azure Security Center for security monitoring and Azure Log Analytics for system insights.
Google Cloud Logging for logs and Google Cloud Security Command Center for security insights.
Proactive Resource Management
Auto Scaling to adjust resource levels based on demand.
Azure Autoscale for automatic scaling of resources.
Google Cloud Autoscaler for scaling resources based on load.
Cloud Automation & Alerting
CloudWatch Alarms and AWS Lambda for automated responses.
Azure Alerts and Azure Automation for automated actions and notifications.
Cloud Monitoring Alerts and Google Cloud Functions for automated responses.
Cloud monitoring ensures that cloud environments operate efficiently by leveraging monitoring tools, metrics, and automated systems to maintain performance and respond to issues. Each cloud provider offers specific tools and features to support these processes.