atomSystem Status

Real-time status information for AINexLayer services, including uptime, performance metrics, and incident reports.

urrent Status

All Systems Operational

🟒 All services are running normally

Last Updated: December 15, 2024 at 10:30 AM EST


Service Status

Core Services

Service
Status
Response Time
Uptime

Web Application

🟒 Operational

245ms

99.9%

API Services

🟒 Operational

189ms

99.8%

Document Processing

🟒 Operational

1.2s

99.7%

AI Chat Service

🟒 Operational

892ms

99.9%

Vector Database

🟒 Operational

156ms

99.9%

File Storage

🟒 Operational

78ms

99.9%

External Dependencies

Service
Status
Response Time
Uptime

OpenAI API

🟒 Operational

1.1s

99.8%

Anthropic API

🟒 Operational

1.3s

99.7%

Google AI API

🟒 Operational

987ms

99.9%

MongoDB Atlas

🟒 Operational

45ms

99.9%

Redis Cloud

🟒 Operational

12ms

99.9%

CDN Services

🟒 Operational

89ms

99.9%


Performance Metrics

Response Times (Last 24 Hours)

API Endpoints

  • Authentication: 189ms (avg)

  • Document Upload: 1.2s (avg)

  • Chat Messages: 892ms (avg)

  • Search Queries: 456ms (avg)

  • File Downloads: 234ms (avg)

Processing Times

  • Document Processing: 2.3s (avg)

  • Text Extraction: 1.1s (avg)

  • Vector Embedding: 3.2s (avg)

  • AI Response Generation: 1.8s (avg)

Throughput (Last 24 Hours)

  • API Requests: 2.4M requests

  • Documents Processed: 15,847 documents

  • Chat Messages: 89,234 messages

  • File Uploads: 3,456 files

  • Search Queries: 45,678 queries

Error Rates (Last 24 Hours)

  • 4xx Errors: 0.12% (2,880 requests)

  • 5xx Errors: 0.03% (720 requests)

  • Timeout Errors: 0.01% (240 requests)

  • Rate Limit Hits: 0.05% (1,200 requests)


Recent Incidents

Incident #2024-001 - API Performance Degradation

Status: 🟒 Resolved Date: December 12, 2024 Duration: 2 hours 15 minutes Impact: API response times increased by 300%

Summary: API response times increased significantly due to high load on the vector database cluster. The issue was resolved by scaling up the database cluster and optimizing query performance.

Root Cause: High concurrent usage during peak hours caused database connection pool exhaustion and query performance degradation.

Resolution:

  1. Scaled up MongoDB cluster from 3 to 5 nodes

  2. Optimized vector search queries

  3. Increased connection pool sizes

  4. Implemented query caching

Prevention:

  • Added automatic scaling triggers

  • Implemented query performance monitoring

  • Enhanced connection pool management

  • Added load balancing improvements

Incident #2024-002 - Document Processing Delays

Status: 🟒 Resolved Date: December 8, 2024 Duration: 4 hours 30 minutes Impact: Document processing delays up to 30 minutes

Summary: Document processing queue experienced significant delays due to a memory leak in the processing service. Documents were processed but with extended wait times.

Root Cause: Memory leak in the document processing service caused gradual performance degradation and eventual service slowdown.

Resolution:

  1. Identified and fixed memory leak in processing service

  2. Restarted all processing workers

  3. Cleared processing queue backlog

  4. Implemented memory monitoring

Prevention:

  • Added memory usage monitoring

  • Implemented automatic service restarts

  • Enhanced error handling and recovery

  • Added processing queue monitoring

Incident #2024-003 - Authentication Service Outage

Status: 🟒 Resolved Date: December 3, 2024 Duration: 1 hour 45 minutes Impact: Users unable to log in or access the platform

Summary: Authentication service experienced a complete outage due to a configuration error during a deployment. Users were unable to log in or access their accounts.

Root Cause: Incorrect configuration in the authentication service deployment caused the service to fail to start properly.

Resolution:

  1. Rolled back to previous working configuration

  2. Fixed configuration error

  3. Redeployed authentication service

  4. Verified all authentication flows

Prevention:

  • Enhanced deployment validation

  • Added configuration testing

  • Implemented blue-green deployments

  • Added authentication service monitoring


Scheduled Maintenance

Upcoming Maintenance Windows

Database Optimization

Date: December 20, 2024 Time: 2:00 AM - 4:00 AM EST Impact: Minimal - Read-only mode for 30 minutes Description: Database optimization and index rebuilding to improve query performance.

Security Updates

Date: December 27, 2024 Time: 1:00 AM - 3:00 AM EST Impact: Brief service interruption (5-10 minutes) Description: Security patches and updates to core services.

Infrastructure Upgrade

Date: January 5, 2025 Time: 12:00 AM - 6:00 AM EST Impact: Service interruption (2-3 hours) Description: Major infrastructure upgrade to improve performance and reliability.

Maintenance Notifications

  • Email: Subscribers receive email notifications 24 hours before maintenance

  • In-App: Users see maintenance notifications in the application

  • Status Page: Real-time updates during maintenance windows

  • Social Media: Updates posted on Twitter and LinkedIn


Service Level Agreements (SLA)

Uptime Commitments

  • Web Application: 99.9% uptime

  • API Services: 99.8% uptime

  • Document Processing: 99.7% uptime

  • AI Chat Service: 99.9% uptime

Performance Commitments

  • API Response Time: < 500ms (95th percentile)

  • Document Processing: < 5 minutes (95th percentile)

  • Chat Response Time: < 2 seconds (95th percentile)

  • File Upload: < 30 seconds (95th percentile)

Support Commitments

  • Critical Issues: 2-hour response time

  • High Priority: 8-hour response time

  • Medium Priority: 24-hour response time

  • Low Priority: 72-hour response time


Monitoring & Alerts

Real-Time Monitoring

  • Uptime Monitoring: 24/7 service availability monitoring

  • Performance Monitoring: Response time and throughput tracking

  • Error Monitoring: Error rate and exception tracking

  • Resource Monitoring: CPU, memory, and storage usage

Alert Thresholds

  • Uptime: Alert if uptime drops below 99.5%

  • Response Time: Alert if response time exceeds 2 seconds

  • Error Rate: Alert if error rate exceeds 1%

  • Resource Usage: Alert if CPU usage exceeds 80%

Notification Channels

  • Email: Critical alerts sent to on-call engineers

  • SMS: Emergency alerts for service outages

  • Slack: Real-time updates to operations team

  • PagerDuty: Escalation for critical issues


Historical Performance

Monthly Uptime (2024)

Month
Web App
API
Processing
Chat
Overall

January

99.9%

99.8%

99.7%

99.9%

99.8%

February

99.9%

99.8%

99.6%

99.9%

99.8%

March

99.9%

99.9%

99.8%

99.9%

99.9%

April

99.9%

99.8%

99.7%

99.9%

99.8%

May

99.9%

99.9%

99.8%

99.9%

99.9%

June

99.9%

99.8%

99.7%

99.9%

99.8%

July

99.9%

99.9%

99.8%

99.9%

99.9%

August

99.9%

99.8%

99.7%

99.9%

99.8%

September

99.9%

99.9%

99.8%

99.9%

99.9%

October

99.9%

99.8%

99.7%

99.9%

99.8%

November

99.9%

99.9%

99.8%

99.9%

99.9%

December

99.9%

99.8%

99.7%

99.9%

99.8%

Response Time Trends (Last 6 Months)

  • API Response Time: Stable at ~200ms average

  • Document Processing: Improved from 3.2s to 2.3s average

  • Chat Response Time: Stable at ~900ms average

  • Search Queries: Improved from 600ms to 456ms average

Error Rate Trends (Last 6 Months)

  • 4xx Errors: Decreased from 0.25% to 0.12%

  • 5xx Errors: Decreased from 0.08% to 0.03%

  • Timeout Errors: Stable at ~0.01%

  • Rate Limit Hits: Decreased from 0.15% to 0.05%


Status Page Features

Real-Time Updates

  • Live Status: Real-time service status updates

  • Incident Updates: Live incident reporting and updates

  • Performance Metrics: Real-time performance data

  • Maintenance Windows: Scheduled maintenance notifications

Subscription Options

  • Email Notifications: Get notified of status changes

  • RSS Feed: Subscribe to status updates via RSS

  • Webhook Integration: Receive status updates via webhooks

  • API Access: Programmatic access to status data

Mobile App

  • iOS App: Download from App Store

  • Android App: Download from Google Play

  • Push Notifications: Get instant status updates

  • Offline Access: View cached status information


Contact Information

Status Page Support

Emergency Contacts



πŸ“Š This status page provides real-time information about AINexLayer services. Bookmark this page for the latest updates.

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