If you need a platform to help you quickly identify and troubleshoot problems in your distributed services, Honeycomb is a top contender. It's got a lot of observability tools, including distributed tracing, smart data sampling, debuggable Service Level Objectives (SLOs) and an AI-Powered Query Assistant. All of these tools let you zero in on problems and tune your system. Honeycomb's pricing is also flexible, with costs tied to event volume, so you can pay as you grow.
Another strong contender is Datadog. It's got a broad range of monitoring and security tools, including real-time visibility into performance, security and user experience. Whether you're dealing with infrastructure, applications or serverless computing, Datadog's tools let you monitor and tune your technology stack without a lot of extra work.
For a more modern approach, check out Logz.io. It's a platform that packages open-source tools like OpenSearch and Prometheus into a powerful observability tool. It's got high-performance log analytics, distributed tracing and AI-powered anomaly detection, which makes it easier to find and fix problems. It also can monitor more than 300 cloud computing platforms, and its pricing is flexible, tied to the amount of data you ingest, so it's good for companies of any size.
Last is Edge Delta, an automated observability platform that's good for real-time insights and AI-powered anomaly detection. It's got flexible data pipelines and petabyte-scale log search, so it's good for large-scale monitoring and troubleshooting. Its focus on ease of use and scalability means Edge Delta is a good option for teams that want to get observability up and running without a lot of configuration.