Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Cloud Trace serves as a comprehensive distributed tracing system that gathers latency metrics from applications and presents this data within the Google Cloud Console. This tool enables users to monitor the flow of requests throughout their applications while providing near real-time insights into performance. It automatically evaluates all traces from the application to produce detailed latency reports, helping to identify any performance issues. Additionally, Cloud Trace is capable of capturing traces from various environments, including VMs, containers, and App Engine projects. With Cloud Trace, users can delve into specific latency details for individual requests or review the cumulative latency across the entire application. The platform offers a range of tools and filters to facilitate the swift detection of bottlenecks and their underlying causes. This system is built upon the same principles that Google employs to ensure its services operate seamlessly at a massive scale, reflecting a robust and reliable solution for performance monitoring. As such, it becomes an essential resource for developers aiming to optimize their applications effectively.
Description
TraceRoot.AI serves as an open-source, AI-driven observability and debugging platform that aims to assist engineering teams in swiftly addressing production challenges. By merging telemetry data into a unified correlated execution tree, it offers essential causal insights into failures. AI agents leverage this structured representation to summarize problems, identify probable root causes, and even propose actionable solutions or generate GitHub issues and pull requests. Users can engage in interactive trace exploration, featuring zoomable log clusters and detailed views on spans and latency, complemented by insights linked to the code itself. Additionally, lightweight SDKs for Python and TypeScript facilitate effortless instrumentation via OpenTelemetry, accommodating both self-hosted and cloud-based deployments. A key aspect of the platform is its human-in-the-loop interaction, which allows developers to influence the reasoning process by selecting relevant spans or logs, enabling them to validate the agent's reasoning with traceable context. This collaborative approach not only enhances debugging efficiency but also empowers teams with greater control over the issue resolution process.
API Access
Has API
No
API Access
Has API
No
Integrations
AlertOps
Yes
CAMEL-AI
No
Google Cloud IoT Core
Yes
JavaScript
No
Notion
No
NudgeBee
Yes
OWL
No
OpenTelemetry
No
Opsgenie
Yes
PagerDuty
Yes
Integrations
AlertOps
No
CAMEL-AI
Yes
Google Cloud IoT Core
No
JavaScript
Yes
Notion
Yes
NudgeBee
No
OWL
Yes
OpenTelemetry
Yes
Opsgenie
No
PagerDuty
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$49 per month
Free Trial
Yes
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
Yes
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)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/trace
Vendor Details
Company Name
TraceRoot.AI
Founded
2025
Country
United States
Website
traceroot.ai/
Product Features
Cloud Management
Access Control
No
Billing & Provisioning
No
Capacity Analytics
Yes
Cost Management
No
Demand Monitoring
No
Multi-Cloud Management
Yes
Performance Analytics
Yes
SLA Management
No
Supply Monitoring
No
Workflow Approval
No