Better Stack
An AI-native platform for comprehensive monitoring, on-call, and incident response across your entire stack.
Overview
Better Stack is an AI-native platform designed to provide a comprehensive solution for monitoring, on-call management, and incident response. It integrates several critical tools into a single interface, including uptime monitoring, log management, infrastructure monitoring, tracing, and status pages. This consolidation aims to give engineering and operations teams a holistic view of their systems, enabling them to quickly identify, diagnose, and resolve issues. The platform leverages OpenTelemetry for its tracing and infrastructure monitoring capabilities, ensuring broad compatibility and adherence to industry standards. It also features eBPF-based tracing for deep insights without requiring code changes. With its AI-native approach, Better Stack seeks to streamline incident workflows, making on-call duties more efficient and less burdensome. The inclusion of a serverless ClickHouse data warehouse further enhances its analytical power, allowing users to collect insights across their entire stack and make data-driven decisions.
Pricing
Free for personal projects
- 10 monitors & heartbeats
- 1 status page
- Slack & e-mail alerts
- 3 GB logs retained for 3 days
- 2B metrics retained for 30 days
- 3 GB warehouse events stored for 30 days
Responder
- Includes a single responder with unlimited phone call alerts
- Unlimited team members
- Free access to Telemetry
Pros & Cons
Pros
- Unified platform reduces tool sprawl for monitoring and incident response.
- AI-native features aim to accelerate incident resolution.
- OpenTelemetry-native for broad compatibility and future-proofing.
- eBPF-based tracing offers deep insights without code changes.
- Serverless ClickHouse data warehouse provides powerful analytics capabilities.
- Comprehensive suite covers uptime, logs, infrastructure, and tracing.
- Visual exploration tools for easier root cause analysis.
Cons
- The breadth of features might lead to a steeper learning curve for new users.
- Reliance on OpenTelemetry might require existing infrastructure to be compatible or adapted.
- Pricing structure for a comprehensive suite could be complex or costly for very small teams.
- Specific limitations of the AI-native features are not detailed in the provided content.
- The "Serverless ClickHouse as an API" might require specific data engineering knowledge to fully leverage.
Use Cases
Reviews & Ratings
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Best For
- Monitoring application performance and availability.
- Managing on-call rotations and incident response workflows.
- Communicating downtime and system status to users.
- Debugging complex distributed systems with tracing.
- Collecting and analyzing logs from various services.
- Monitoring server and infrastructure health.
- Building data-intensive applications with a serverless data warehouse.
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