Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Cleric serves as an independent AI Site Reliability Engineer (SRE) that autonomously oversees, optimizes, and repairs software infrastructure without the need for human oversight. Acting as a collaborative AI partner, it seamlessly integrates with various existing tools, such as Kubernetes, Datadog, Prometheus, and Slack, to explore and diagnose production issues. By automatically managing alerts, Cleric enables engineers to dedicate more time to development rather than routine tasks. It efficiently evaluates systems simultaneously, providing insights in mere minutes, which would typically take hours to resolve manually. When faced with unfamiliar problems, Cleric formulates hypotheses and executes real-time queries with its integrated tools, only presenting conclusions once it is confident in its findings. With each investigation, Cleric enhances its capabilities by learning from actual outcomes and incidents. By the end of the first month, Cleric is equipped to manage approximately 20–30% of on-call responsibilities, empowering your team to prioritize problem-solving over monotonous alert triage. As a result, the overall efficiency and productivity of the engineering team can significantly improve.

Description

Metoro serves as an AI Site Reliability Engineer tailored for Kubernetes environments, assisting Site Reliability Engineers, DevOps professionals, and software developers in managing production effectively. This innovative tool autonomously oversees both services and infrastructure to identify any issues as they emerge, subsequently diagnosing the root causes and implementing solutions by creating pull requests. Utilizing eBPF, Metoro gathers all necessary telemetry without requiring modifications to the codebase, ensuring that every container, service, and host is monitored at the kernel level in real-time. Users can effortlessly deploy Metoro into their clusters with a single helm install command, leading to a fully operational setup in approximately five minutes. Its seamless integration and rapid deployment make it an invaluable asset for teams looking to enhance their operational efficiency.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Confluence Yes 
Datadog Yes 
Google Cloud Platform Yes 
Grafana Cloud Yes 
Kubernetes Yes 
PagerDuty Yes 
Prometheus Yes 
Slack Yes 

Integrations

Confluence No 
Datadog No 
Google Cloud Platform No 
Grafana Cloud No 
Kubernetes No 
PagerDuty No 
Prometheus No 
Slack No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$20/host/month
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Cleric

Founded

2023

Country

United States

Website

cleric.ai/

Vendor Details

Company Name

Metoro

Founded

2023

Country

United States

Website

metoro.io

Product Features

Incident Management

Audit Trail No 
Corrective Actions (CAPA) No 
Disaster Recovery No 
IT Incident Management No 
Incident Reporting No 
OSHA Compliance No 
Root-Cause Diagnosis No 
Safety Management No 
Task Management No 
Ticket Management No 

Product Features

Alternatives

Alternatives

OpsWorker Reviews

OpsWorker

OpsWorker AI
OpsWorker Reviews

OpsWorker

OpsWorker AI