Last9
Unified observability platform built for site reliability engineers
Last9 unifies metrics, logs, and traces in a high-cardinality-native platform designed specifically for SREs — making it the first observability tool to deeply integrate reliability engineering workflows, not just monitoring dashboards.
SWOT Analysis
- High-cardinality-native architecture handles billions of time series without performance degradation
- SRE-centric design: SLO management, error budgets, and incident workflows built-in natively
- Unified platform (metrics + logs + traces) at significantly lower cost than Datadog at scale
- Strong growth momentum (+120% YoY) and active community among SRE practitioners
- OpenTelemetry-native: no vendor lock-in at the instrumentation layer
- High-cardinality observability demand is growing as microservices deployments scale
- SRE practice maturation: more companies are formalizing SRE roles and need dedicated tooling
- OpenTelemetry momentum creating demand for open-standards-compatible observability platforms
- Enterprise SLO management: replacing manual spreadsheet-based error budget tracking
- Very early revenue stage — still building enterprise-grade features and compliance certifications
- Limited brand awareness outside the SRE practitioner community
- Smaller integration ecosystem compared to Datadog's 750+ integrations
- Geographic concentration: primarily strong in APAC and growing in North America
- Datadog, Dynatrace, and Grafana all adding high-cardinality support and SLO features
- Chronosphere (Palo Alto) specifically targeting high-cardinality metrics at enterprise scale
- Cloud-native startups with similar positioning (Coralogix, Observe Inc.) competing for same budget
- Limited capital versus well-funded incumbents extending into SRE workflows
User Sentiment
Synthesized from G2, Gartner Peer Insights, and analyst review data.
- High-cardinality metrics don't require pre-aggregation — query anything without planning ahead
- SLO and error budget tracking is genuinely first-class, not an afterthought
- Much more cost-effective than Datadog for teams with high metric and log volumes
- OpenTelemetry compatibility means no instrumentation lock-in
- SRE-focused community and documentation resonates with the practitioner audience
- Enterprise features (SSO, fine-grained RBAC, audit logs) still being built out
- Alerting and on-call integration less mature than PagerDuty or Datadog Monitors
- Dashboard builder less feature-rich than Grafana for complex visualization needs
- Customer support response times need improvement as the team scales
Pricing & TCO
Analyst-synthesized pricing signals — directional only, contact vendor for current terms.
Starting Price
From $200/month for 2M metric samples
Typical ACV (Mid-Enterprise)
$10K–$80K
Market Segments
Deployment
Key Cost Drivers
- Monthly metric samples ingested
- Log GB stored and queried
- SLO tracking and error budget features in higher tiers
Developer-friendly pricing — built for SRE teams watching cloud costs.
Full comparisonCustomer Profile
Typical segments
Typical buyer
SRE Lead, Staff Reliability Engineer, or VP of Engineering
- 1High-cardinality observability for microservices with millions of metric series
- 2SLO management and error budget tracking across services and teams
- 3Unified observability replacing multiple siloed Prometheus, Loki, and Jaeger deployments
Future Focus Areas
AI-powered reliability: predictive alerting and automated error budget burn rate forecasting
Last9 Streams: real-time observability pipeline with filtering and cost reduction controls
Enterprise compliance: SOC 2 Type II and ISO 27001 for regulated-industry adoption
Expanding from APAC into North American and European enterprise markets
Developer experience integrations: GitHub, Jira, and CI/CD pipeline observability gates