platoseedplatoseed
Observability platform to control all of your log data
Mezmo, formerly LogDNA, is an observability platform to manage and take action on your data. It ingests, processes, and routes log data to fuel enterprise-level application development and delivery, security, and compliance use cases. Mezmo was brought to life by three-time co-founders Chris Nguyen and Lee Liu and included in the Winter 2015 batch of Y Combinator. In 2018 the company partnered with tech giant, IBM, to become the sole logging provider for IBM Cloud. Mezmo is on a mission to empower people who build solutions that shape the world. We’re doing this by delivering a platform that enables enterprises to get more value from their observability data in real time, regardless of source, destination, use case, or scale. We’re not the only ones working on this problem but we have a few things the others don’t. We’re cloud-native and know how to make the most of modern technology like Kubernetes. We have scaled a solution from zero to petabyte scale in a short amount of time, while supporting thousands of active users across multiple environments. We are hungry for change and are surrounded by enterprises telling us they’re hungry, too. We have a kick-ass group of people who are thinking about the problem analytically and are excited to change the observability world for the better. Mezmo has helped some of the world’s most innovative companies transform how they manage their systems and applications. Still, we know that we can help them get more value from their observability data by providing more flexibility and control over how they use it. This will enable teams to spend less time switching between data silos so they can focus on shipping better, more resilient, and secure products. We have momentum on our side. Last year we saw triple digit revenue growth and added 800 new customers to our roster. Recent accolades include being named to YC’s Top Companies, CRN’s 10 Hottest DevOps Startups, and EMA’s Top 3 Observability Platforms.
Mezzo describes an AI-driven telemetry platform focused on producing context-rich signals from production log data. It centers on AURA, an open-source agent control plane that orchestrates specialized agents for incident triage, RCA, and remediation, with emphasis on reducing data and enabling agent-oriented AI workflows.
Mezmo offers an Active Telemetry platform built around AURA, an open-source agent control plane. It ingests telemetry data, reduces data volume (up to 99.98% reduction), and surfaces curated, context-rich signals. The system supports multi-agent orchestration, safety controls, and human-in-the-loop approval for remediation. It provides OpenTelemetry integration, streaming interfaces, and runtime MCP (machine-context protocol) discovery to connect various inputs and destinations, along with pre-built SRE workflows for incident triage, RCA, and remediation. Deployment appears to be configurable via TOML, with support for multiple LLM providers, and it emphasizes agent-centric orchestration across incident responders, metrics analysts, and log analysts, plus connectors to external systems like Datadog, PagerDuty, Slack, and Jaeger.
Who it’s for: Platform/infrastructure teams (Site Reliability Engineers, Platform Engineers) and developers responsible for production AI/telemetry workflows within organizations that run large-scale observability and incident response pipelines.
Has explicit mention of open-source components (AURA) and a production-oriented deployment footprint; mentions demos, docs, and pricing, indicating active productization and potential customer exploration activities.
Formerly “PushMarket”, “LogDNA” · why startups rename →
AI-based full stack observability platform
Video infrastructure for developers
