If you're looking for a tool to help troubleshoot problems in your cloud-native infrastructure and applications more quickly, Honeycomb is a good choice. It's an observability platform designed to help teams quickly identify the source of problems with distributed services. Honeycomb features include distributed tracing, smart data sampling and debuggable Service Level Objectives (SLOs). The service also can be integrated with Slack so you can paste graphs into a channel for better triage.
Another good contender is Datadog, an all-in-one monitoring and security service. Datadog provides real-time insights into performance, security and user experience for any stack, application or infrastructure. It includes features like infrastructure monitoring, APM, synthetic monitoring and serverless monitoring, so you can quickly pinpoint and optimize system problems. Datadog supports a broad range of cloud providers and offers a free trial.
For a more modern approach, Logz.io marries open-source monitoring tools like OpenSearch, Prometheus and OpenTelemetry for logs, metrics and trace data. The service provides high-performance log analytics, centralized metrics monitoring and AI-powered features to automate and accelerate troubleshooting. Logz.io supports more than 300 cloud platforms and applications, making it easy to onboard and scale for any organization.
Last, Edge Delta is an automated observability service that monitors services, spots anomalies and leads you to the root cause with AI-driven analysis of petabytes of data. It includes automated real-time insights, AI/ML anomaly detection and assisted troubleshooting. Edge Delta supports petabyte-scale log search and scales well, so it's a good choice for teams that want automated observability without a lot of setup.