Logfire

Logfire

Pydantic
Riverbed APM

Riverbed APM

Riverbed
+
+

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About

Pydantic Logfire is an observability platform designed to simplify monitoring for Python applications by transforming logs into actionable insights. It provides performance insights, tracing, and visibility into application behavior, including request headers, body, and the full trace of execution. Pydantic Logfire integrates with popular libraries and is built on top of OpenTelemetry, making it easier to use while retaining the flexibility of OpenTelemetry's features. Developers can instrument their apps with structured data, and query-ready Python objects, and gain real-time insights through visualizations, dashboards, and alerts. Logfire also supports manual tracing, context logging, and exception capturing, providing a modern logging interface. It is tailored for developers seeking a streamlined, effective observability tool with out-of-the-box integrations and ease of use.

About

Simplified high-definition APM visibility leveraging real user monitoring, synthetic monitoring, and OpenTelemetry, that is scalable, easy to use and deploy, and unifies insights across end users, applications, networks, and the cloud-native ecosystem. Microservices deployed in containers across dynamic cloud infrastructure have created a transient, distributed environment at a massive scale. The old ways of scaling APM, sampled transactions, incomplete traces, and aggregate metrics, are no longer working, and legacy APM tools fail to diagnose why crucial business applications are still slow or stalling. The Riverbed platform delivers unified visibility across the modern application ecosystem, is easy to deploy and manage, and results in faster troubleshooting for even the toughest performance problems. Riverbed APM is fully adapted to the cloud-native ecosystem delivering comprehensive monitoring and observability for transactions running on modern cloud and app infrastructure.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Professional users looking for a tool to monitor and troubleshoot Python applications

Audience

Companies wanting a tool to deploy and manage their dynamic cloud infrastructure

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$2 per month
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Pydantic
United States
pydantic.dev/logfire

Company Information

Riverbed
Founded: 2002
United States
www.riverbed.com/products/application-performance-monitoring/

Alternatives

Arize Phoenix

Arize Phoenix

Arize AI

Alternatives

Elastic APM

Elastic APM

Elastic
Riverbed IQ

Riverbed IQ

Riverbed
TelemetryHub

TelemetryHub

TelemetryHub by Scout APM
Riverbed Aternity

Riverbed Aternity

Riverbed Technology

Categories

Categories

Integrations

OpenTelemetry
Amazon Web Services (AWS)
Disco.dev
Docker
Google Cloud Platform
Kubernetes
Microsoft Azure
OpenAI
OpenStack
Python
Red Hat OpenShift
SQLAlchemy

Integrations

OpenTelemetry
Amazon Web Services (AWS)
Disco.dev
Docker
Google Cloud Platform
Kubernetes
Microsoft Azure
OpenAI
OpenStack
Python
Red Hat OpenShift
SQLAlchemy
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