If you're looking for a system that uses AI to spot anomalies and warn team members, Edge Delta is another top pick. The service provides automated real-time insights and AI/ML-based anomaly detection. It's designed to monitor services, identify anomalies and lead teams to the root cause through AI-assisted analysis of petabytes of data. Edge Delta has an intuitive interface and high-performance log data querying abilities, making it a good fit for teams that need powerful monitoring and troubleshooting abilities without a lot of setup.
Another top pick is Logz.io, which packages tools like OpenSearch, Prometheus and OpenTelemetry together for observability. Logz.io has AI-based features for anomaly detection and alert recommendation to help automate and accelerate work. With support for more than 300 cloud platforms and infrastructure components, it's easy to get started and scale up for any organization, making it a good all-purpose choice for log processing, infrastructure monitoring and distributed tracing.
Datadog is another good choice. It provides real-time insights into performance, security and user experience, and can be used to monitor any application or infrastructure. Datadog's services include infrastructure monitoring, APM, synthetic monitoring and security monitoring, so you can quickly spot problems and tune systems for peak performance. It integrates with a broad range of cloud companies and offers custom integrations, too, making it a good choice for monitoring entire technology stacks.
For data observability, Metaplane offers automated end-to-end data observability. It includes ML-based monitoring and anomaly detection, data CI/CD and real-time schema change alerts. Metaplane's integration with many tools in the modern data stack means teams can quickly identify and resolve data issues, increasing data trust and collaboration.