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Average Ratings 0 Ratings
Description
Bronto serves as a cloud-based observability solution designed for the collection, search, and analysis of application telemetry data. It consolidates logs, metrics, and distributed traces into a comprehensive managed service, enabling engineering and operations teams to filter information using SQL, monitor live log streams, link logs with traces, and create custom dashboards and alerts. The platform is compatible with OpenTelemetry for data ingestion and integrates seamlessly with various cloud services, application environments, data pipelines, and alerting systems. Users have the ability to store and query telemetry data, conduct incident investigations, monitor service-level objectives, and produce AI-enhanced reports based on alerts. Furthermore, Bronto offers API access and the Model Context Protocol (MCP) to facilitate programmatic workflows and AI client interactions. This platform is particularly beneficial for software developers, DevOps/SRE, and platform engineering teams, catering to organizations that require a unified observability solution for their applications, infrastructure, and AI workloads, thus enhancing their operational efficiency.
Description
Pydantic Logfire serves as an observability solution aimed at enhancing the monitoring of Python applications by converting logs into practical insights. It offers valuable performance metrics, tracing capabilities, and a comprehensive view of application dynamics, which encompasses request headers, bodies, and detailed execution traces. Built upon OpenTelemetry, Pydantic Logfire seamlessly integrates with widely-used libraries, ensuring user-friendliness while maintaining the adaptability of OpenTelemetry’s functionalities. Developers can enrich their applications with structured data and easily queryable Python objects, allowing them to obtain real-time insights through a variety of visualizations, dashboards, and alert systems. In addition, Logfire facilitates manual tracing, context logging, and exception handling, presenting a contemporary logging framework. This tool is specifically designed for developers in search of a streamlined and efficient observability solution, boasting ready-to-use integrations and user-centric features. Its flexibility and comprehensive capabilities make it a valuable asset for anyone looking to improve their application's monitoring strategy.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
OpenTelemetry
Yes
Amazon CloudWatch
Yes
Apache Kafka
Yes
Claude
Yes
Disco.dev
No
Docker
Yes
EarlyCore
No
Fluent Bit
Yes
Kubernetes
Yes
Model Context Protocol (MCP)
Yes
Integrations
OpenTelemetry
Yes
Amazon CloudWatch
No
Apache Kafka
No
Claude
No
Disco.dev
Yes
Docker
No
EarlyCore
Yes
Fluent Bit
No
Kubernetes
No
Model Context Protocol (MCP)
No
Pricing Details
$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
Yes
Free Version
No
Pricing Details
$2 per month
Free Trial
No
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
No
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
No
Vendor Details
Company Name
Bronto
Founded
2024
Country
Ireland
Website
bronto.io
Vendor Details
Company Name
Pydantic
Country
United States
Website
pydantic.dev/logfire