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What is ServiceNow Cloud Observability?

ServiceNow Cloud Observability offers immediate insights and oversight of cloud infrastructures, applications, and services. This platform empowers organizations to pinpoint and address performance issues by consolidating data from various cloud environments into one unified dashboard. With its sophisticated analytics and alerting capabilities, ServiceNow Cloud Observability enables IT and DevOps teams to recognize anomalies, resolve problems, and maintain peak performance levels. Additionally, the platform incorporates AI-driven insights and automation, equipping teams to react swiftly to incidents. By enhancing operational efficiency, it guarantees a smooth user experience across diverse cloud environments, ultimately helping businesses achieve their technological goals.

What is Logfire?

Pydantic Logfire emerges as an observability tool specifically crafted to elevate the monitoring of Python applications by transforming logs into actionable insights. It provides crucial performance metrics, tracing functions, and an extensive overview of application behavior, which includes request headers, bodies, and exhaustive execution paths. Leveraging OpenTelemetry, Pydantic Logfire integrates effortlessly with popular libraries, ensuring ease of use while preserving the versatility of OpenTelemetry's features. By allowing developers to augment their applications with structured data and easily accessible Python objects, it opens the door to real-time insights through diverse visualizations, dashboards, and alert mechanisms. Furthermore, Logfire supports manual tracing, context logging, and the management of exceptions, all within a modern logging framework. This versatile tool is tailored for developers seeking a simplified and effective observability solution, boasting out-of-the-box integrations and features designed with the user in mind. Its adaptability and extensive functionalities render it an indispensable resource for those aiming to enhance their application's monitoring approach, providing an edge in understanding and optimizing performance. Ultimately, Pydantic Logfire stands out as a key player in the realm of application observability, merging technical depth with user-friendly design.

Media

Media

Integrations Supported

AlertOps
Amazon Web Services (AWS)
Cortex
Cyral
D2iQ
Docker
Google Cloud Platform
Indent
Jenkins
Kubernetes
Microsoft Azure
NGINX
OpenAI
OpenTelemetry
Opsgenie
PagerDuty
Python
SQLAlchemy
Slack
Zenduty

Integrations Supported

AlertOps
Amazon Web Services (AWS)
Cortex
Cyral
D2iQ
Docker
Google Cloud Platform
Indent
Jenkins
Kubernetes
Microsoft Azure
NGINX
OpenAI
OpenTelemetry
Opsgenie
PagerDuty
Python
SQLAlchemy
Slack
Zenduty

API Availability

Has API

API Availability

Has API

Pricing Information

$275 per month
Free Trial Offered?
Free Version

Pricing Information

$2 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ServiceNow

Date Founded

2004

Company Location

United States

Company Website

www.servicenow.com/products/observability.html

Company Facts

Organization Name

Pydantic

Company Location

United States

Company Website

pydantic.dev/logfire

Categories and Features

Application Performance Monitoring (APM)

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Categories and Features

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