Logz.io
Unified observability platform for DevOps teams with AI-powered insights
Recommended for
- Pre-Seed
- Seed
- Series A
- Scaleup
- Late-Stage
- Public / Enterprise
SSIE
Stage Fit Recommendations
Following data shows why Logz.io is recommended for listed teams. The Fit Score represents the percentage fit of Logz.io to each company stages, as calculated by the SSIE.
Stage
Fit Score
Fit Reasons
Pre-Seed
$0–$10k MRR
51- Pre-built third-party integrations
- Multiple support channels (chat, email)
- Entry pricing sized for this stage
- Open-source codebase, independently reviewable
- GDPR - baseline compliance certification
- Multi-factor authentication (MFA) enforcement
Seed
$10k–$100k MRR
64- SOC 2 - core enterprise certification
- SOC 1 - core enterprise certification
- SOC 3 - core enterprise certification
- ISO/IEC 27001 - core enterprise certification
- Single sign-on (SSO) via SAML 2.0
- Role-based access control (RBAC)
- Detailed audit logging of user activity
- Regular third-party penetration testing
Series A
$100k–$500k MRR
75- HIPAA - regulated-industry certification
- FedRAMP - gov-grade certification
- FISMA - gov-grade certification
Scaleup
$500k–$2M+ MRR
77- SOC 2 - core enterprise certification
Late-Stage
$2M+ MRR
77- SOC 2 - core enterprise certification
Public / Enterprise
$100M+ ARR
77- FedRAMP - gov-grade certification

Logz.io is a cloud-native observability platform built for engineering and development teams that consolidates logs, metrics, and traces into a single pane of glass. The platform delivers real-time infrastructure monitoring and distributed tracing with embedded AI agents that automate root cause analysis and enable natural language querying. Designed for DevOps workflows, it handles large-scale data processing with flexible retention policies and cost-efficient storage on AWS. Multi-region deployment ensures global availability while maintaining compliance with enterprise-grade security standards. Teams use Logz.io to reduce mean time to resolution by up to 50% while optimizing cloud infrastructure spend through intelligent data management.
Pricing
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