Another strong contender is Datadog, an all-in-one monitoring and security platform. Datadog provides real-time insights into performance, security and user experience across any stack or infrastructure. Its suite of features includes infrastructure monitoring, APM, synthetic monitoring and security monitoring, which helps you quickly pinpoint and optimize system performance. Datadog supports a wide range of cloud providers and offers a free trial, so it's a good option for a wide range of industries.
For a more modern observability approach, check out Logz.io. This platform combines tools like OpenSearch, Prometheus and OpenTelemetry to provide logs, metrics and trace data. Logz.io features include high-performance log analytics, centralized metrics monitoring, distributed tracing and AI-powered anomaly detection. It supports more than 300 cloud platforms and applications, making it easy to scale and onboard, and offers flexible pricing based on ingested data.
Last, Honeycomb is designed to help teams quickly pinpoint the source of problems in distributed services. It offers distributed tracing, smart data sampling and debuggable Service Level Objectives. Honeycomb's database architecture means queries return quickly, and its Slack integration means you can triage issues more effectively. Pricing is based on event volume, so Honeycomb is economical as teams grow.