What do you like best about Better Stack?
The integration of what were formerly known as Better Uptime and Logtail into the Uptime and Logs modules under a single platform streamlines workflows and reduces tool sprawl. Here are the technical aspects that I find particularly effective:
effective:
• Incident Management
• Slack-based incident management enables direct collaboration and templated workflows within Slack, supporting rapid response and reducing mean time to resolution (MTTR).
• AI-driven incident silencing leverages customizable machine learning models to filter out noise, ensuring only actionable alerts reach the team.
• Smart incident merging consolidates simultaneous incidents, minimizing alert fatigue and streamlining the acknowledgment process.
• Automated AI post-mortems synthesize incident timelines and outcomes, reducing manual effort in documentation and supporting continuous improvement.
• Uptime and Infrastructure Monitoring
• Fast HTTP(s) checks (up to every 30 seconds) from multiple global regions, with support for ping and heartbeat monitoring, provide high-frequency, reliable uptime data.
• Playwright-based transaction monitoring executes real browser tests with a JavaScript runtime, offering deep synthetic monitoring for complex user flows.
• Error incident alerts include screenshots and second-by-second event timelines, which facilitate rapid root cause analysis and debugging.
• Traceroute and MTR outputs for timeouts enhance network diagnostics from the edge, providing actionable insights for connectivity issues.
• Alerting and On-Call Management
• Multi-channel incident alerts (push, SMS, phone, email, Slack, Teams) ensure critical events are never missed, with single-click acknowledgment for efficient communication.
• On-call scheduling integrates directly with calendar apps like Google Calendar and Outlook, supporting flexible rotations and escalation policies.
• Smart escalation logic can notify backup responders or the entire team if the primary on-call engineer is unavailable, reducing the risk of missed incidents.
• Log Management and Analytics
• The Logs module (formerly Logtail) transforms logs into structured data, enabling SQL-like querying and visualization across the entire stack.
• Integration with infrastructure-as-code tools (e.g., Terraform providers) and support for popular logging libraries (Serilog, NLog) facilitate seamless adoption in modern DevOps pipelines.
• Reporting and analytics features include advanced KPI tracking (MTTA, MTTR), incident cause synthesis, SLA/SLI indicators, and CSV export for further analysis.
• Security and Compliance
• Enterprise-grade security features such as SOC 2 Type II compliance, SSO, 2FA, SCIM provisioning, and role-based access control are available.
• Data residency options and custom VPC deployments support organizations with strict compliance requirements.
• GDPR compliance and team-level isolation are built in, addressing privacy and regulatory needs.
• User Experience and Integrations
• The user interface is consistently described as intuitive and visually appealing, reducing onboarding friction and making complex workflows accessible.
• Extensive integrations with collaboration tools (Slack, Teams), calendar systems, and cloud providers enhance interoperability within existing environments.
• Public status pages can be configured to share uptime and incident data transparently with stakeholders or customers. Review collected by and hosted on G2.com.