If you need a platform to monitor and analyze machine performance in real-time, Datadog is a great option. Datadog has a wide range of tools, including infrastructure monitoring, APM, synthetic monitoring, real user monitoring, and serverless monitoring, to help you quickly pinpoint problems and optimize your systems for best performance, and it's good for a wide range of industries.
Another option is LogicMonitor, which offers hybrid observability with real-time visibility into on-premises and multi-cloud environments. LogicMonitor's LM Envision includes monitoring for infrastructure, cloud and digital experience, as well as AIOPS to forecast and prevent IT problems. The platform is designed to scale and support security, and is good for finance, healthcare, manufacturing and other industries.
If you're looking to improve manufacturing, MachineMetrics has a mature platform for real-time production and operations data. It can help you maximize asset availability, optimize machine operator productivity and lower maintenance costs with data-driven insights and integration with existing factory software stacks. It's good for factories large and small, helping businesses run more efficiently and profitably.
Last, Honeycomb is an observability platform geared for teams that need to quickly find the source of problems in distributed services. With features like distributed tracing, smart data sampling and debuggable SLOs, Honeycomb makes it easier to debug and offers unlimited custom attributes. That makes it a good fit for teams that need to deploy with confidence and respond to incidents as quickly as possible.