Question: I'm looking for a solution that integrates application performance monitoring, distributed tracing, and profiling for cloud-native and enterprise stacks.

For a full featured solution that combines application performance monitoring, distributed tracing and profiling for cloud-native and enterprise stacks, Honeycomb is a great option. It's an observability platform that lets teams rapidly identify the source of problems in distributed systems. Honeycomb includes distributed tracing, intelligent data sampling and debuggable Service Level Objectives. It also integrates with Slack for improved triage and supports OpenTelemetry for a flexible observability setup.

Another heavy-duty 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. With AI-powered features for anomaly detection and alert recommendations, Logz.io is designed to automate and speed up troubleshooting. It integrates with more than 300 cloud providers and offers flexible pricing based on the amount of data ingested.

Datadog is another powerful monitoring and security option. It offers real-time insights into performance, security and user experience across a variety of stacks and infrastructure. Datadog's product line includes infrastructure monitoring, APM, synthetic monitoring and security monitoring, so it's good for finding and optimizing system performance. The company integrates with many cloud providers and offers a free trial.

Last, Edge Delta offers an automated observability platform with features like AI-driven anomaly detection and real-time insights. It also offers petabyte-scale log search and a distributed architecture for high scalability. Edge Delta is geared for teams that want automated observability with minimal configuration, and it can be used for a variety of use cases like log management and Kubernetes metrics.