Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Randoli serves as a comprehensive observability and cost management solution built on OpenTelemetry, specifically designed for Kubernetes, multicloud, hybrid, and AI/ML workloads. By consolidating essential elements such as infrastructure health, application performance, logs, metrics, traces, incidents, and cloud expenditures into a single control interface, it allows teams to move away from disparate tools and gain a unified view of system operations. Its federated architecture effectively decouples the control plane from the data plane, facilitating local telemetry analysis, relevant signal extraction, and on-demand data retrieval during investigations, all while minimizing ingestion and egress and ensuring data sovereignty is upheld. Randoli is capable of monitoring a wide range of components, including clusters, nodes, pods, workloads, services, dependencies, latency, errors, throughput, and resource utilization across diverse environments such as AWS, Azure, Google Cloud, OpenShift, and on-premises setups. Additionally, it leverages OpenTelemetry and eBPF for automatic, low-overhead instrumentation, which enhances filtering, telemetry enrichment, and real-time signal correlation, thus optimizing observability across the board. This innovative approach not only streamlines operational insights but also empowers teams to proactively manage performance and costs in their cloud infrastructures.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
No
Google Cloud Platform
No
Kubernetes
No
Microsoft Azure
No
OpenTelemetry
No
Red Hat OpenShift
No
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Kubernetes
Yes
Microsoft Azure
Yes
OpenTelemetry
Yes
Red Hat OpenShift
Yes
Pricing Details
$20/host/month
Free Trial
Yes
Free Version
Yes
Pricing Details
$0.04 per hour
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
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
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Metoro
Founded
2023
Country
United States
Website
metoro.io
Vendor Details
Company Name
Randoli
Founded
2017
Country
Canada
Website
www.randoli.io