Question: Can you recommend a solution that helps reduce log volume and lower observability costs?

If you're trying to find a way to cut log volume while cutting observability costs, Observo is a top contender. With AI-powered observability pipelines, data optimization, anomaly detection and smart routing, you can cut log volume by 80% and resolve incidents 40% faster. Observo supports more than 50 sources and destinations, so it's a good choice for teams wrestling with telemetry data and vendor lock-in.

Another top contender is Logz.io, a modern observability platform that packages open-source tools like OpenSearch and Prometheus. It offers high-performance log analytics, centralized metrics monitoring and distributed tracing, as well as AI-powered features to help you troubleshoot faster. Logz.io's Data Optimization Hub is geared specifically to reduce noisy data and the costs that come with it, so it's a good choice for anyone looking for a flexible and scalable option.

Sumo Logic is another option for a full log management and security information management (SIEM) system. With AI and machine learning, it can help you turn cloud data into insights. Sumo Logic is geared for developers and security teams, with features like unified platforms, AI-assisted troubleshooting and compliance with major regulations. Its tiered pricing means it's available to companies with a range of budgets.

If you want observability without a lot of configuration, Edge Delta is a contender. It's got AI-powered anomaly detection and real-time insights, along with flexible pipelines for ingesting data. Edge Delta also has high-performance log data querying and an interface that's designed to be easy to use, so it's good for managing logs and monitoring services.