Best Alternatives to Struct in 2025
Struct is an AI agent that root-causes engineering alerts by analyzing logs, metrics, traces, and code, helping teams resolve incidents faster. However, depending on your team's size, budget, or specific workflow needs, you might consider these alternatives.
Rootly
Rootly focuses on incident management workflows, offering automated response, post-mortems, and integrations, but lacks the deep AI-driven root-cause analysis of logs and code that Struct provides.
Datadog Bits AI SRE
Datadog Bits AI SRE is an AI assistant within Datadog that helps with alert triage and root cause suggestions, but it is tightly coupled to the Datadog ecosystem, whereas Struct is more agnostic and integrates with multiple tools.
Cleric.ai
Cleric.ai provides AI-powered incident response and root cause analysis, similar to Struct, but is more focused on Kubernetes and cloud-native environments, while Struct supports broader observability stacks.
Claude/ChatGPT
General-purpose AI like Claude or ChatGPT can be used to analyze logs and code manually, but they lack native integrations with DevOps tools and automated alert-driven investigations that Struct offers.
PagerDuty Operations Cloud
PagerDuty excels at alert aggregation and on-call management, but its AI capabilities for root cause analysis are less advanced compared to Struct's dedicated agent approach.
Splunk IT Service Intelligence (ITSI)
Splunk ITSI provides machine learning-based anomaly detection and root cause analysis, but requires significant setup and is more complex, whereas Struct is designed for lean teams with quick deployment.
New Relic AI
New Relic AI offers automated anomaly detection and root cause insights, but is part of a larger monitoring platform, while Struct is a lightweight, focused tool for alert root-causing.
While Struct is ideal for lean teams seeking automated, AI-driven root cause analysis across logs, metrics, and code, alternatives like Rootly for incident management, Datadog Bits AI for Datadog users, or Cleric.ai for Kubernetes-focused teams may better suit specific needs. General AI tools lack native integrations, and enterprise platforms like PagerDuty or Splunk offer broader features but with higher complexity.