Last9 Recognized as Gartner Cool Vendor in AI for SRE and Observability
Last9, a California-based provider of unified cloud-native observability, has been named a Gartner Cool Vendor in AI for SRE and Observability. The recognition, announced on October 13, 2025, underscores Last9’s role in advancing AI-native observability at scale for engineering teams responsible for complex modern applications, including AI and machine learning workloads.
The Gartner Cool Vendors designation signals the market’s growing emphasis on AI-enabled reliability engineering (SRE) and comprehensive observability. For Last9, the award highlights a platform that blends logs, metrics, traces and more into a flexible, scalable control plane that can handle over 100 billion events per day. This capability is especially relevant as organizations expand data-intensive workloads and seek predictable pricing amid rising cloud costs.
What Makes Last9 Stand Out in AI-Driven SRE and Observability
Traditional observability tools often require stitching together disparate data sources, incurring escalating costs and operational complexity. Last9 addresses these pain points with a cohesive observability control plane designed for modern, cloud-native environments. Its approach emphasizes:
- AI-native telemetry capable of correlating per-user experiences across diverse datasets to pinpoint performance issues quickly.
- Transparent, predictable pricing that helps teams constrain observability costs while maintaining thorough visibility into real-time health data.
- Open ecosystem with more than 150 integrations and native OpenTelemetry support, reducing vendor lock-in and enabling flexible workflows.
This combination empowers both developers and platform teams to monitor, troubleshoot and improve reliability without sacrificing speed or breaking the bank. By enabling per-user correlation and on-the-fly filtering/annotation changes, Last9 accelerates incident response and reduces mean time to remediation (MTTR) across complex stacks.
Agentic SRE: Automation Meets Reliability
One of Last9’s distinguishing features is its agentic SRE SDK, which brings programmable control and automation into the observability workflow. Engineers can embed reliability practices directly into CI/CD pipelines, creating dynamic reliability gates and conducting production-informed load tests. This pushes teams from reactive monitoring toward proactive health management—critical when operating at scale with AI-powered workloads where models and data pipelines evolve rapidly.
The SDK supports a shift in mindset: observability becomes a collaborative, automated partner in software delivery rather than a bottleneck. As AI models are more deeply integrated into products, such capabilities enable faster feedback loops, better risk management, and more reliable deployments.
Real-World Impact and Customer Confidence
Last9 has cited a robust slate of customers, including AI-forward innovators and Fortune 500 companies, as beneficiaries of its platform. The combination of a unified data plane, broad ecosystem integrations and production-ready automation gives teams a practical path to maintaining high service levels in a data-intensive era.
Commenting on the Gartner recognition, Last9 founder and CEO Nishant Modak emphasized the shift toward data-centric architecture: “The AI-native era marks a clear shift—from building applications to building data and intelligence systems. Last9 sits at the heart of that transformation, giving engineering teams the telemetry data plane their agentic world demands.”
Looking Ahead: Why Gartner’s Cool Vendor Label Matters
Being named a Gartner Cool Vendor can help technology buyers distinguish solutions that actively align with evolving SRE and observability needs. For Last9, the accolade reinforces a strategic focus on affordable, scalable observability for cloud-native teams navigating the complexities of AI, ML and 24×7 global operations.
As the industry continues to demand greater data-driven insights and tighter control over observability costs, Last9’s unified approach—paired with an open ecosystem and automation capabilities—positions it as a compelling choice for teams seeking reliable, scalable AI-native observability at scale.
For more information about Last9 and its platform, visit their site at last9.io.
