Operations security

Observability platform

Provides comprehensive visibility into cloud systems' behavior, performance, and security through collection and analysis of logs, metrics, and traces.

Holistic insights for cloud system health and security

An observability platform is a comprehensive solution that provides deep visibility into the behavior, performance, and security of complex, distributed systems in cloud environments. For cloud security engineers, observability platforms offer crucial insights that can help detect, investigate, and respond to security incidents more effectively.

Observability platforms typically collect and analyze three types of telemetry data: logs (detailed records of events), metrics (numerical measurements over time), and traces (records of requests as they flow through distributed systems). These platforms use advanced analytics and visualization tools to help engineers understand the state of their systems, identify anomalies, and troubleshoot issues quickly.

In cloud environments, observability platforms play a vital role in maintaining security and performance across complex, dynamic infrastructures. They can help detect security threats by identifying unusual patterns or behaviors, assist in compliance efforts by providing audit trails, and support incident response by offering detailed context around security events. By leveraging observability platforms, cloud security engineers can gain a more comprehensive understanding of their cloud ecosystems, improve their ability to detect and respond to security incidents, and maintain the overall health and security of their cloud-based systems.

Product vendors

Datadog
Elastic

Similar categories

Security information and event management (SIEM)
Aggregates and analyzes security data across cloud environments to detect threats, streamline incident management, and provide compliance reporting.
Application performance monitoring (APM)
Monitors and analyzes cloud application performance metrics to optimize user experience, identify bottlenecks, and ensure efficient resource utilization.
Log management
Collects, stores, and analyzes log data from various cloud sources to support security monitoring, compliance, and troubleshooting efforts.
AI for IT operations (AIOps)
Applies AI and machine learning to automate and enhance IT operations, including security monitoring and incident response in cloud environments.