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Google Cloud RunA comprehensive managed compute platform designed to rapidly and securely deploy and scale containerized applications. Developers can utilize their preferred programming languages such as Go, Python, Java, Ruby, Node.js, and others. By eliminating the need for infrastructure management, the platform ensures a seamless experience for developers. It is based on the open standard Knative, which facilitates the portability of applications across different environments. You have the flexibility to code in your style by deploying any container that responds to events or requests. Applications can be created using your chosen language and dependencies, allowing for deployment in mere seconds. Cloud Run automatically adjusts resources, scaling up or down from zero based on incoming traffic, while only charging for the resources actually consumed. This innovative approach simplifies the processes of app development and deployment, enhancing overall efficiency. Additionally, Cloud Run is fully integrated with tools such as Cloud Code, Cloud Build, Cloud Monitoring, and Cloud Logging, further enriching the developer experience and enabling smoother workflows. By leveraging these integrations, developers can streamline their processes and ensure a more cohesive development environment.
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What is Google Cloud Debugger?
Google Cloud's Cloud Debugger facilitates real-time application debugging, enabling developers to investigate the application's current condition without interrupting its operation. As a result, users experience no disruption while you collect data about the call stack and variables at any specific point in your source code. This capability not only provides valuable insights into the application's behavior in a live setting but also helps identify hard-to-find bugs and improves overall code quality. Additionally, the option to examine live application states significantly simplifies the troubleshooting process, making software maintenance more efficient and reliable. This feature ultimately empowers developers to deliver higher-quality software with greater confidence.
What is FlowLens?
FlowLens is a cutting-edge debugging and session-recording solution powered by artificial intelligence, aimed at capturing all vital components necessary for precise and context-aware bug analysis, while also allowing AI coding agents to independently address issues. Utilizing a user-friendly browser extension along with an optional MCP server, FlowLens meticulously documents detailed user sessions by recording video of the user interface, tracking network requests, capturing console logs, logging user actions (such as clicks and inputs), and preserving storage states (including cookies and local/session storage), in addition to gathering system information, all organized on a unified timeline. Once a bug is reproduced, FlowLens consolidates this entire context into a single "flow" that can be readily shared via a link. AI coding agents compatible with MCP, including those from top-tier providers, can then access this flow to analyze network interactions, error logs, UI conditions, and user inputs, thereby enabling automatic root cause analysis and suggestions or generation of code fixes. By streamlining this process, FlowLens removes the burdensome tasks of manual replays, the inconvenience of transferring logs, and the requirement for lengthy bug descriptions, significantly boosting productivity and efficiency. Furthermore, FlowLens allows teams to concentrate on more intricate challenges, as the platform optimizes the debugging workflow, enabling developers to harness AI to its fullest potential. This innovative approach not only saves time but also enhances collaboration among team members, fostering a more efficient development environment.
Integrations Supported
Claude Code
Cursor
Gemini CLI
GitHub Copilot
Google Cloud Platform
Model Context Protocol (MCP)
OpenAI Codex
Visual Studio Code
Windsurf Editor
Integrations Supported
Claude Code
Cursor
Gemini CLI
GitHub Copilot
Google Cloud Platform
Model Context Protocol (MCP)
OpenAI Codex
Visual Studio Code
Windsurf Editor
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$11 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
Date Founded
1998
Company Location
United States
Company Website
cloud.google.com/debugger
Company Facts
Organization Name
Magentic AI
Company Location
United Kingdom
Company Website
magentic.ai/
Categories and Features
Bug Tracking
Backlog Management
Filtering
Issue Tracking
Release Management
Task Management
Ticket Management
Workflow Management