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What is Metoro?
Metoro functions as an AI Site Reliability Engineer specifically designed for Kubernetes ecosystems, offering vital support to Site Reliability Engineers, DevOps teams, and software developers in effectively managing production environments.
This cutting-edge tool autonomously monitors both services and infrastructure, swiftly identifying emerging issues, diagnosing their root causes, and implementing corrective measures through the creation of pull requests.
By leveraging eBPF technology, Metoro collects essential telemetry data without necessitating any alterations to the existing codebase, thereby ensuring real-time monitoring of every container, service, and host at the kernel level. Users can easily integrate Metoro into their clusters with a simple helm install command, achieving a fully functional setup in around five minutes.
The tool's quick deployment and seamless integration not only enhance operational efficiency but also empower teams to focus on more strategic initiatives. Ultimately, Metoro represents an indispensable resource for organizations aiming to streamline their site reliability efforts.
What is Cleric?
Cleric functions as a self-sufficient AI Site Reliability Engineer (SRE) that independently monitors, enhances, and resolves issues in software infrastructure without requiring human intervention. This collaborative AI partner integrates smoothly with a range of existing tools like Kubernetes, Datadog, Prometheus, and Slack, allowing it to investigate and troubleshoot production problems effectively. By autonomously handling alerts, Cleric allows engineers to focus their efforts on development tasks instead of repetitive duties. It has the capability to assess multiple systems at once, delivering insights in just minutes—an endeavor that would normally take hours if done manually. When confronted with new challenges, Cleric generates hypotheses and conducts real-time queries using its built-in tools, sharing its conclusions only when it is certain of its results. Each investigation further refines Cleric's abilities by learning from real-world outcomes and incidents. After just one month, Cleric can take on around 20–30% of on-call duties, allowing your team to emphasize solving complex issues rather than dealing with routine alert management. Consequently, this not only enhances the overall productivity of the engineering team but also fosters a work environment where creativity and innovation can thrive more freely.
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Integrations Supported
Confluence
Datadog
Google Cloud Platform
Grafana Cloud
Kubernetes
PagerDuty
Prometheus
Slack
Integrations Supported
Confluence
Datadog
Google Cloud Platform
Grafana Cloud
Kubernetes
PagerDuty
Prometheus
Slack
API Availability
Has API
API Availability
Has API
Pricing Information
$20/host/month
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Metoro
Date Founded
2023
Company Location
United States
Company Website
metoro.io
Company Facts
Organization Name
Cleric
Date Founded
2023
Company Location
United States
Company Website
cleric.ai/
Categories and Features
Categories and Features
Incident Management
Audit Trail
Corrective Actions (CAPA)
Disaster Recovery
IT Incident Management
Incident Reporting
OSHA Compliance
Root-Cause Diagnosis
Safety Management
Task Management
Ticket Management