If you're looking for a heavy-duty Node.js observability tool with distributed tracing and machine learning-based analysis, N|Solid is a great option. The platform offers real-time visibility into Node.js application performance and security, with built-in support for anomaly detection, OpenTelemetry tooling and SBOM. It also includes an AI-powered Node.js copilot for performance and security issue identification and remediation. N|Solid is available as SaaS or on-premises, so you can use it in whatever environment makes sense.
Another top contender is Honeycomb, which is geared for teams that need to quickly figure out what's gone wrong with distributed services. It includes distributed tracing, smart data sampling and an AI-Powered Query Assistant for fast debugging. Honeycomb's event-based pricing is flexible and can grow as your team expands, and it integrates with Slack for better incident triage.
For a more modern observability platform that integrates with popular open-source tools like OpenSearch and Prometheus, check out Logz.io. The company offers high-performance log analytics, centralized metrics monitoring and distributed tracing, along with AI-powered features for faster troubleshooting. With a wide range of integrations and flexible pricing, Logz.io is a good fit for companies of any size looking to simplify observability and lower MTTR.
Last, Datadog is an all-purpose monitoring and security tool that offers real-time visibility into performance, security and user experience. It's got features like APM, synthetic monitoring and serverless monitoring, so it's good for a wide range of industries and tech stacks. Datadog's wide range of integrations and flexible pricing means it's a good option for full-coverage observability and monitoring.