About Metoro

Provides a Kubernetes-native observability platform that uses eBPF to collect logs, metrics, traces, and profiling data at the kernel level without requiring code changes or manual instrumentation. This enables instant, unified visibility into microservices performance, automated regression detection, and AI-driven root cause analysis, reducing mean time to resolution (MTTR) by 30% and identifying 40% more performance regressions.

```xml <problem> Traditional application performance monitoring (APM) tools require manual code instrumentation, which is time-consuming, error-prone, and often necessitates application restarts. This complexity hinders rapid deployment and makes it difficult to gain immediate insights into microservices performance within Kubernetes environments. </problem> <solution> Metoro provides a Kubernetes-native observability platform that automatically collects logs, metrics, traces, and profiling data using eBPF technology. By operating at the kernel level, Metoro eliminates the need for code changes or manual instrumentation, enabling instant and unified visibility into microservices performance. The platform facilitates automated performance regression detection and AI-driven root cause analysis, helping teams quickly identify and resolve performance bottlenecks. Metoro offers a single pane of glass for monitoring, unrestricted API access to data, and simple, predictable pricing. </solution> <features> - Automatic APM: Generates traces and derives APM metrics from services automatically through eBPF. - One-click install: Deploys the collector with a single command without requiring container restarts. - Automated performance regression monitoring: Periodically profiles services, compares profiles, and alerts on performance regressions. - AI-driven root cause analysis: Proactively monitors for changes in applications and investigates root causes. - Full APM data: Provides instant visibility into RED metrics and performance bottlenecks. - Unrestricted API access: Allows access to all collected data. - Supports multiple cluster types: Runs on Amazon EKS, Google Cloud GKE, Azure AKS, and bare metal (K3s, etc.). </features> <target_audience> Metoro targets developers and operations teams managing microservices in Kubernetes environments who need rapid, code-free observability solutions. </target_audience> <revenue_model> Metoro offers tiered pricing: Hobby (free for up to 2 nodes), Scale ($20/node/month), and Enterprise (custom pricing with 24/7 support and on-premises deployments). </revenue_model> ```

What does Metoro do?

Where is Metoro located?

Metoro is based in San Francisco, United States.

When was Metoro founded?

Metoro was founded in 2023.

How much funding has Metoro raised?

Metoro has raised 1200000.

Location

San Francisco, United States

Founded

2023

Funding

1200000

Employees

3 employees

Major Investors

Y Combinator, REMUS Capital, Apertu Capital, Saturnin Pugnet, XG Ventures

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Metoro

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Executive Summary

metoro.io 300+

Crunchbase

Founded 2023 – San Francisco, United States

Funding

Estimated Funding

$1M+

Major Investors

Y Combinator, REMUS Capital, Apertu Capital, Saturnin Pugnet, XG Ventures

Team (<5)

No team information available.

Company Description

Problem

Traditional application performance monitoring (APM) tools require manual code instrumentation, which is time-consuming, error-prone, and often necessitates application restarts. This complexity hinders rapid deployment and makes it difficult to gain immediate insights into microservices performance within Kubernetes environments.

Solution

Metoro provides a Kubernetes-native observability platform that automatically collects logs, metrics, traces, and profiling data using eBPF technology. By operating at the kernel level, Metoro eliminates the need for code changes or manual instrumentation, enabling instant and unified visibility into microservices performance. The platform facilitates automated performance regression detection and AI-driven root cause analysis, helping teams quickly identify and resolve performance bottlenecks. Metoro offers a single pane of glass for monitoring, unrestricted API access to data, and simple, predictable pricing.

Features

Automatic APM: Generates traces and derives APM metrics from services automatically through eBPF.

One-click install: Deploys the collector with a single command without requiring container restarts.

Automated performance regression monitoring: Periodically profiles services, compares profiles, and alerts on performance regressions.

AI-driven root cause analysis: Proactively monitors for changes in applications and investigates root causes.

Full APM data: Provides instant visibility into RED metrics and performance bottlenecks.

Unrestricted API access: Allows access to all collected data.

Supports multiple cluster types: Runs on Amazon EKS, Google Cloud GKE, Azure AKS, and bare metal (K3s, etc.).

Target Audience

Metoro targets developers and operations teams managing microservices in Kubernetes environments who need rapid, code-free observability solutions.

Revenue Model

Metoro offers tiered pricing: Hobby (free for up to 2 nodes), Scale ($20/node/month), and Enterprise (custom pricing with 24/7 support and on-premises deployments).