Question: I'm looking for a solution that uses AI to help me identify and fix problems faster in my production environment.

If you're looking for a system to help you find and troubleshoot problems more quickly in production, Honeycomb is a top contender. Honeycomb is an observability platform designed to let teams quickly pinpoint the source of problems in distributed services. It offers distributed tracing, intelligent data sampling, debuggable Service Level Objectives (SLOs) and an AI-Powered Query Assistant. The database is designed to return queries in seconds, and it integrates with Slack and supports OpenTelemetry.

Another top contender is Logz.io. The modern observability platform combines open-source monitoring tools like OpenSearch, Prometheus and OpenTelemetry for logs, metrics and trace data. Logz.io offers high-performance log analytics, centralized metrics monitoring and distributed tracing. It also offers AI-powered features like chat with data, anomaly detection and alert recommendations to automate and accelerate troubleshooting. With more than 300 integrations, Logz.io can be used to support any organization.

ServiceNow Cloud Observability is geared for monitoring and responding to changes in cloud-native and monolithic applications. It offers visibility into cloud-native applications and helps teams fix problems faster by removing guesswork from managing complex tech estates. The service is designed for a variety of stakeholders, including VPs of engineering, site reliability engineering, operations and cloud architects.

If you want a broader approach, Splunk offers enterprise resilience with AI to improve detection, investigation and response. It offers full-stack observability with OpenTelemetry-native support and human-in-the-loop AI acceleration. Splunk can help companies get to the bottom of problems faster and respond to security threats better, so it's a good fit for large and complex organizations.