DevOrbit

Name: DevOrbit
Author: DevOrbit

This platform leverages artificial intelligence to monitor production logs, identify errors, and automatically generate ready-to-merge bug fixes, streamlining the debugging and deployment process. It features seamless integration with cloud error logging services like Datadog, New Relic, and Splunk, employs a Knowledge Graph to accurately map errors to specific code segments, and produces high-quality pull requests to reduce mean-time-to-resolution by up to 80%. Designed for engineering teams working within the 20 to 100 developer range, it addresses challenges such as manual debug cycles, slow incident response times, and fragmentation of log analysis, enabling proactive, automated remediation across complex infrastructure and application systems.

DevOrbitは次の場所にあります Error Tracking & Bug Reporting カテゴリー。

DevOrbit に最も類似した製品は次のとおりです。

Drequ →

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価格: $99-$499/mo

消費者タイプ: B2B

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DevOrbit 主な特徴

No SRE Team Needed
Allows teams to fix errors quickly without needing a special site reliability engineering team.
Root Cause Analysis
Finds the exact reason for failures across your infrastructure, application, or database automatically.
Proactive Error Fixing
Switches from just monitoring problems to automatically fixing them before they cause big issues.
Automatic Pull Requests
Creates ready-to-merge pull requests with fixes for errors, saving time on debugging.
Fast Problem Resolution
Reduces the time to fix problems by automating the debugging, fixing, and deploying process by up to 80%.
Trace and Context Gathering
Automatically collects detailed information and traces of how errors happen to help fix problems faster.
Integration with Cloud Providers
Connects to any cloud provider's error logs like Datadog, New Relic, Elasticsearch, or Splunk and makes them easy to use.
Error Mapping with Knowledge Graph
Automatically maps errors to the exact code that caused them using a live graph of the entire codebase.
Supports Engineering Teams of 20–100
Designed for small to medium-sized engineering teams using popular monitoring tools and GitHub.

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