Sumo Logic

Unlike Splunk, which traditionally charges strictly by the volume of data ingested, Sumo Logic offers flexible pricing tiers based on daily log ingest and data retention periods. This cloud-native architecture allows businesses to scale their observability efforts without provisioning on-premise hardware for log storage. It is designed specifically to handle massive datasets from diverse sources like AWS and Kubernetes.

Yes, Sumo Logic integrates deeply with Amazon Web Services and can automatically collect traces and metrics from AWS Lambda functions. By using the AWS X-Ray integration, the platform provides real-time, end-to-end visibility into your serverless application performance. This makes it significantly easier to troubleshoot latency issues in microservice architectures.

Sumo Logic provides a robust, built-in Cloud SIEM solution that correlates logs across your network to detect threats and anomalies in real time. This allows engineering teams to use the same data ingestion pipeline for both application observability and security compliance. It applies machine learning algorithms to identify unusual user behavior or potential data breaches.

In Sumo Logic, logs represent the raw, discrete events recorded by your applications, while metrics are numerical data points measured over time, such as CPU usage. The platform allows you to overlay these two data types in a single dashboard to correlate a code error in the logs with a spike in server traffic. This unifies both traces and standard logs into one view for rapid root cause analysis.