If you're in the market for something that pulls telemetry data from various sources, processes it and sends it to other tools and destinations, and empowers your workforce with AI, Mezmo is worth a look. Mezmo is a cloud-based telemetry data pipeline that ingests data from multiple sources, applies custom processors to transform data, and sends it to multiple observability platforms. It includes data profiling, cost optimization, collaboration and platform support for tools like Splunk and Datadog. That makes it a good choice for Engineering, ITOps and Security teams who need to make data-informed decisions.
Another option worth considering is Edge Delta, an automated observability platform that monitors services, spots anomalies and leads you to the root cause with AI-powered analysis. It has flexible pipelines for ingesting and routing data, automated real-time insights and petabyte-scale log search. With its distributed architecture and high-performance log data querying, Edge Delta is a good fit for teams that want automated observability without a lot of setup or complicated query languages.
If you need a data integration platform, Airbyte is an open-source tool that extracts data from more than 300 structured and unstructured data sources and sends it to many destinations. It has features like custom connectors, automated schema evolution and security features to comply with major regulations. Airbyte has flexible deployment options and an easy-to-use interface, making it good for big data integration projects and smaller ones.
Last, Honeycomb is an observability platform that's designed to help teams quickly find the root cause of problems in distributed services. It marries logs and metrics into a single workflow, has smart data sampling and debuggable Service Level Objectives. Honeycomb integrates with Slack and supports OpenTelemetry, so it's a good choice for those who want easy integration and detailed incident resolution.