Question: Can you recommend a tool that helps identify and respond to issues in cloud-native applications?

If you need a system to find and respond to problems in cloud-native software, ServiceNow Cloud Observability is a good option. This AI-powered system monitors and responds to changes in cloud-native and monolithic software, and fits into existing alerting and incident response processes. It's designed to improve uptime, availability and reliability by providing real-time visibility into dependencies and automating complex tech estates, which in turn lowers mean time to resolution.

Another option is Datadog, an all-in-one monitoring and security system that provides real-time visibility into performance, security and user experience. With a broad range of monitoring tools, including infrastructure monitoring, APM and synthetic monitoring, Datadog lets you quickly pinpoint problems and optimize system performance. It also integrates with a broad range of cloud providers, making it a good option for monitoring and improving overall system reliability.

Logz.io is another modern observability platform that combines OpenSearch, Prometheus and OpenTelemetry to provide detailed log, metric and trace data analysis. It offers high-performance log analytics, centralized metrics monitoring, and AI-powered features like chat with data and anomaly detection. Logz.io is designed to be easy to onboard and scale, with integration with more than 300 cloud platforms and applications, so it's good for companies of any size.

For those looking for a platform that specializes in distributed tracing and smart data sampling, Honeycomb is a good option. It lets teams quickly identify problems in distributed services and provides debuggable Service Level Objectives (SLOs) to assess the severity of incidents. Its pricing model is designed to be more economical than other options, and it integrates with Slack for better triage. Overall, Honeycomb is a good option for teams that want to improve their observability and incident response.