Best Observability Tools for Startups
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Compare the Top Observability Tools for Startups as of January 2026
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What are Observability Tools for Startups?
Observability tools are software platforms that help monitor, measure, and gain insights into the performance and health of systems, applications, and infrastructure. These tools provide a comprehensive view of the system by collecting and analyzing data from various sources, including logs, metrics, traces, and events. Observability tools are essential for identifying and diagnosing issues, improving system reliability, and optimizing performance. They enable real-time monitoring, anomaly detection, root cause analysis, and alerting, which allows teams to respond proactively to potential problems. By offering detailed insights into system behavior, observability tools are critical for DevOps, cloud-native environments, and microservices architectures. Compare and read user reviews of the best Observability tools for Startups currently available using the table below. This list is updated regularly.
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Gearset
Gearset
Gearset gives you full visibility into your Salesforce org’s health — capturing Flow and Apex errors, monitoring org limits, and surfacing issues before they impact users.  With a single dashboard, you can track error trends, identify the most-problematic Flows or Apex classes, and view how many users were impacted. Set up real-time alerts via Slack or Microsoft Teams, build custom rules (e.g., “If Flow X fails more than 10 times in 5 minutes”), and automatically link errors to tickets in Jira or Azure DevOps for triage. Monitor platform limits (API calls, storage, email, etc.) in one place — keeping you ahead of bottlenecks and potential system outages. By shifting from reactive monitoring to proactive observability, Gearset empowers your team to catch problems early, reduce downtime and continuously improve your Salesforce platform stability.Starting Price: $200 per user, per month -
2
Acceldata
Acceldata
Acceldata is an Agentic Data Management company helping enterprises manage complex data systems with AI-powered automation. Its unified platform brings together data quality, governance, lineage, and infrastructure monitoring to deliver trusted, actionable insights across the business. Acceldata’s Agentic Data Management platform uses intelligent AI agents to detect, understand, and resolve data issues in real time. Designed for modern data environments, it replaces fragmented tools with a self-learning system that ensures data is accurate, governed, and ready for AI and analytics.
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