If you're looking for a solution that offers unlimited custom attributes for debugging without unexpected costs, Honeycomb is a great option. Honeycomb is an observability platform that helps teams quickly identify the source of problems in distributed services. It offers unlimited custom attributes for debugging, which means you won't lose visibility into your system. Honeycomb also integrates with Slack and supports OpenTelemetry, so you can manage data flow and cost. It's priced by event volume, so you only pay for what you use.
Another good option is Logz.io, which aggregates open-source monitoring tools like OpenSearch, Prometheus and OpenTelemetry. The platform offers high-performance log analytics, centralized metrics monitoring and distributed tracing. Logz.io's AI-powered features like anomaly detection and alert recommendations can help you troubleshoot faster. The platform integrates with more than 300 cloud platforms and offers flexible pricing based on the amount of logs, metrics and traces ingested, so it can accommodate organizations of all sizes.
For teams that want automated observability, Edge Delta is a good option. With features like AI/ML anomaly detection, petabyte-scale log search and automated real-time insights, Edge Delta can help you get to the root cause faster. Its flexible pipelines and distributed architecture means data is efficiently managed and queried. Pricing is based on ingested log and metric volume, so you know what to expect.
Last is Datadog, an all-in-one monitoring and security platform that offers real-time insights into performance, security and user experience. Datadog offers a range of monitoring tools, including infrastructure monitoring, APM and synthetic monitoring. Its broad integration abilities and flexible pricing means it can be used for a broad range of use cases. Datadog also offers a free trial, so you can try it out before committing to a plan.