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What is Fabrix.ai?

Fabrix.ai functions as a comprehensive AI operations platform specifically designed for site reliability engineering, observability, network operations, and IT departments. It empowers teams with AI-driven agents and a shared context of operational data, allowing them to investigate incidents, connect insights from diverse IT systems, identify likely causes, and improve their response strategies. Through the integration of operational data and tools via the Model Context Protocol (MCP), this platform enables smooth workflows across monitoring, service management, and networking sectors. Companies can utilize Fabrix.ai to consolidate telemetry and operational insights, automate tedious investigative tasks, and assist engineers in making informed, contextually relevant operational decisions. This sophisticated solution is crafted for enterprise operations teams looking to enhance their current IT practices through AI-driven analysis and anticipatory actions, ultimately creating a more efficient and agile operational landscape. Moreover, its strong focus on collaboration and data integration highlights its ability to revolutionize conventional IT operations into a more adaptable and responsive system. As a result, teams can not only address issues more effectively but also anticipate future challenges, ensuring a proactive approach to IT management.

What is Bronto?

Bronto functions as a cloud-centric observability platform that focuses on gathering, searching, and analyzing telemetry data from applications. It integrates logs, metrics, and distributed traces into a streamlined managed service, allowing engineering and operations teams to filter data using SQL, monitor real-time log streams, connect logs with traces, and build custom dashboards and alerts. The platform supports OpenTelemetry for data ingestion and easily connects with a variety of cloud services, application environments, data pipelines, and alerting mechanisms. Users can store, query telemetry data, carry out incident investigations, track service-level objectives, and generate AI-enhanced reports based on alerts. Additionally, Bronto provides API access and the Model Context Protocol (MCP) to support automated workflows and interactions with AI clients. This platform proves to be especially advantageous for software developers, DevOps, site reliability engineers, and platform engineering teams, serving organizations that need a cohesive observability solution for applications, infrastructure, and AI workloads. By doing so, it significantly improves operational efficiency and decision-making processes across the board.

Media

Media

No images available

Integrations Supported

Integrations Supported

Amazon CloudWatch
Apache Kafka
Claude
Docker
Fluent Bit
Kubernetes
Model Context Protocol (MCP)
OpenTelemetry
PagerDuty
PostgreSQL
Slack
Vercel

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$25/month
Starter is $25/month and includes 1 TB of monthly ingest, a 20 TB search allowance, and 12-month log retention. Pro is $500/month and includes 5 TB of monthly ingest, a 500 TB search allowance, and 12-month log retention. Enterprise pricing is custom, with ingest at $0.10/GB and search at $1/TB. Starter and Pro include 14-day free trials. Overages are $0.10/GB ingested and $1/TB searched; Bronto discusses overages with customers before charging.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Fabrix.ai

Date Founded

2015

Company Location

United States

Company Website

fabrix.ai

Company Facts

Organization Name

Bronto

Date Founded

2024

Company Location

Ireland

Company Website

bronto.io

Categories and Features

AIOps

Not specified

Categories and Features

Observability

Not specified

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