If you want a tool to marry logs and metrics into a single workflow for better debugging, Honeycomb is a great option. It's an observability platform for finding the source of problems in distributed services, and it's got distributed tracing that unifies logs and metrics into a single workflow, along with smart data sampling that cuts costs without sacrificing visibility. Honeycomb also has debuggable SLOs and supports OpenTelemetry for easy data ingestion.
Another contender is Logz.io, which aggregates open-source monitoring tools like OpenSearch, Prometheus and OpenTelemetry to offer log, metric and trace data. It's got high-performance log analytics, centralized metrics monitoring and distributed tracing, along with AI-powered tools for anomaly detection and automation. Logz.io has more than 300 integrations with other platforms and apps, so it can scale to any organization, and its pricing is tiered by the amount of data you ingest.
If you want to automate things more, Edge Delta has an automated observability platform that monitors services, spots anomalies and steers you toward the root cause with AI-boosted data analysis. It's got flexible data pipelines, automated real-time insights and AI/ML anomaly detection. Edge Delta's petabyte-scale log search and user-friendly interface make it a good choice for teams that need to wrangle and troubleshoot massive amounts of data without a lot of setup.