If you're looking for a Gremlin alternative, Splunk could be a good fit. It's an enterprise resilience platform that uses AI to help detect, investigate and respond to problems. It's got full-stack observability with OpenTelemetry-native support and human-in-the-loop AI acceleration, which means your team can get to the bottom of problems and respond to security threats more quickly.
Another contender is ServiceNow Cloud Observability. It's an AI-powered system for monitoring and responding to changes in cloud-native and monolithic applications, designed to keep them up and running. It can help you understand cloud-native applications and improve productivity by giving dev teams visibility into dependencies, which can lower mean time to resolution (MTTR).
If you want a hybrid observability option, check out LogicMonitor’s LM Envision. It's got real-time insights and automation across on-premises and multi-cloud environments, with monitoring coverage for infrastructure, cloud and digital experiences. It's also got AIOPS abilities to predict and prevent IT problems. It's good for a variety of industries, including financial services and healthcare.
Last, Datadog is an all-in-one monitoring and security tool that offers real-time insights into performance, security and user experience. It's got infrastructure monitoring, APM, synthetic monitoring and security monitoring, among other tools. Datadog is good for a wide range of industries, and you can use it to monitor your entire technology stack, find problems and improve overall system performance and reliability.