Navigate Page
Powered by SCIKIQ GenAI

ZeroOps: The Future of IT Operations

"Picture this — it's 3 AM and your payment gateway decides to give up."

We've all been there, right? The panicked calls, waking up half the team, everyone scrambling while customers start complaining. But here's the thing — ZeroOps caught the problem a good 47 seconds before it could even become an issue. It figured out there was a memory leak in the checkout service, ran the fix on its own, and even updated the knowledge base with what it learned. All this while your team was fast asleep.

Next morning when the team walked in with their chai, they saw a proper RCA report waiting, runbook already updated, and the best part? Not a single customer complaint. That's what ZeroOps brings to the table.

DETECT & PREDICT

AI monitors 1000+ metrics per second, learns normal patterns, and predicts incidents before they happen using ML anomaly detection.

ANALYZE & HEAL

7 specialized agents collaborate: RCA via GPT-4, auto-remediation via runbooks, and continuous learning that improves with every incident.

LEARN & DOCUMENT

Every resolution auto-updates runbooks & wikis. Your knowledge base grows smarter, ensuring the same issue never requires human intervention twice.

Watch Full Scenario
Simulate Incident
View Auto-Wiki
View Runbooks
Continuous Learning Status
47
Runbooks Auto-Updated
128
Wiki Articles Created
Last auto-update: 2 minutes ago
System Healthy
Last check: --
7 AI Agents Active
Wiki
Runbooks
ZeroOps AI: Ready to demonstrate autonomous IT operations. Click "Watch Full Scenario" to see how I detect an incident, auto-heal it, and update your runbooks & wiki in real-time — or "Simulate Incident" for a quick demo.
ZeroOps Workflow - How It Works
1. DETECT

Monitor 1000+ metrics, detect anomalies in real-time

2. ANALYZE

AI-powered root cause analysis

3. DECIDE

Generate remediation plan

4. EXECUTE

Auto-execute remediation steps

5. VERIFY

Confirm resolution success

6. LEARN

Update runbooks & docs

All steps complete in milliseconds. Fully autonomous. No human intervention needed.

KEY METRICS Track the AI impact: These metrics show how autonomous operations are improving your IT environment. Monitor anomalies detected, issues auto-healed, resolution time improvements, and automation rate to understand the full ROI of intelligent IT operations.
0
Anomalies Detected (24h) ?
Monitoring
0
Auto-Healed Issues ?
Saved 0h manual work
0ms
Avg Resolution Time ?
70% faster than manual
0%
Automation Rate ?
Fully autonomous
+5%
94.2%
SLA Compliance Rate ?
-12
47
Ticket Backlog ?
-25%
2.4h
Avg Resolution Time ?
Stable
78%
First Call Resolution ?
+18%
4.6/5
Customer Satisfaction
ZeroOps Mobile App - Stay Connected

Real-time notifications and incident management on the go

Intelligent Notifications

Get instant alerts for critical incidents. The mobile app filters noise and surfaces only what matters - critical P1 issues, SLA breaches, and anomalies requiring attention.

Smart Sound Alerts

Customizable audio notifications with different tones for different severity levels. Mute low-priority alerts, get loud notifications for critical issues.

One-Tap Actions

Take action instantly from the app. Acknowledge incidents, start investigation, approve auto-healing, or escalate with a single tap. No need to open the web dashboard.

9:41
ALERTS 3 new
CRITICAL: Memory Leak Detected
2m ago
Payment service memory at 94%. Auto-healing in progress...
SLA Warning - 2 Tickets
5m ago
INC-0042 & INC-0045 approaching SLA threshold. Escalate now?
Incident Resolved
8m ago
INC-0041 auto-healed. Root cause: Stuck transaction locks.
Instant Alerts

Push notifications delivered in milliseconds

Sound Notifications

Customizable alerts for each incident type

One-Tap Actions

Take action without opening the full app

Secure & Encrypted

End-to-end encryption for all communications

Real-World Examples - ZeroOps in Action
Payment Gateway Memory Leak

The Problem: Payment service memory consumption exceeds threshold at 3 AM.

✓ ZeroOps Response: Detected anomaly → Analyzed logs → Identified JVM heap leak → Restarted service gracefully → Verified successful recovery → Updated runbook. 4 seconds total. Zero customer impact.
DB Connection Pool Exhaustion

The Problem: Connection pool at 99% during traffic spike - new queries timing out.

✓ ZeroOps Response: Detected connection saturation → Identified slow queries → Killed long-running transactions → Recycled connection pool → Scaled database provisioning. 47 seconds total. SLA maintained.
API Rate Limiting Threshold

The Problem: External API suddenly starts rejecting 423 requests/sec at their rate limit.

✓ ZeroOps Response: Detected 429 errors → Analyzed throttling pattern → Adjusted request queuing strategy → Implemented exponential backoff → Notified stakeholders. 3 seconds total. Graceful degradation applied.
Disk Space Critical

The Problem: Log partition usage at 98% - disk full imminent, write operations at risk.

✓ ZeroOps Response: Detected disk saturation → Analyzed log rotation policies → Compressed old logs → Archived to S3 → Cleaned up temp files. 18 seconds total. 67% disk space recovered.
Service Dependency Chain Failure

The Problem: Service C down → delays Service B → timeouts propagate to Service A → user impact.

✓ ZeroOps Response: Detected cascade failures → Traced dependency chain → Restarted Service C pod → Cleared Service B connection pool → Rebuilt circuit breaker state. 12 seconds total. Services operational.
Credential Expiration

The Problem: API credential expires in 30 days - integration with partner system at risk of failure.

✓ ZeroOps Response: Detected credential expiry threshold → Generated new API key via partner portal → Updated secret vault → Rotated credentials in all services → Verified connections. 67 seconds total. Zero-downtime rotation.

Key Takeaway: Every scenario above is handled automatically, without waking up engineers or escalating to on-call. The system learns from each incident to prevent recurrence. That's the power of autonomous IT operations.

Understanding Status Indicators

Priority Levels:

P1 Critical - Immediate action required
P2 High - Significant business impact
P3 Medium - Can be scheduled
P4 Low - Minor or cosmetic issues

AI/Automation Status:

AI-Optimized AI-enhanced prioritization
ML-Powered Machine learning predictions
Auto-Healing Automatic issue resolution

Metric Trends:

Improving Getting better (trend is positive)
Decreasing Getting worse (needs attention)
Stable No significant change
Key Metrics Explained
Anomalies Detected (24h)

System anomalies detected by AI monitoring. Higher is not better - use this to identify potential issues before they become incidents. Investigate P1 anomalies immediately.

Auto-Healed Issues

Issues resolved automatically without human intervention. Higher is better! Shows the ROI of autonomous operations. Each prevents manual work and reduces incident response time.

Mean Time To Resolution

Average time from incident detection to resolution. Lower is better! Aim for sub-minute resolution times for P1 issues, under 1 hour for P3. Track improvement month-over-month.

Automation Rate

Percentage of issues resolved via automation vs manual intervention. Target: 70%+ for sustainable operations. Growing rate indicates system learning and improvement.

SLA Compliance Rate

Percentage of tickets resolved within SLA windows. Target: 95%+. Below target indicates need to prioritize queue optimization or increase automation.

First Call Resolution

Issues solved on first contact without escalation. Higher is better! Indicates quality resolutions. Track by agent and queue to identify training needs.

Quick Actions
QUEUE INTELLIGENCE Intelligent ticket prioritization: AI continuously analyzes incoming tickets, auto-prioritizes by impact and complexity, and provides assignment recommendations. The system learns from past resolutions to optimize queue ordering for maximum efficiency.
Agentic Queue Management

Intelligent ticket prioritization & AI-driven queue optimization

P1 Critical
3
Open
15m
Avg Wait
2
Assigned
AI Recommendation Escalate INC0012847 to L3 - pattern matches known DB issue
P2 High
12
Open
45m
Avg Wait
8
Assigned
AI Recommendation Redistribute 4 tickets to Network team - skills match detected
P3 Medium
28
Open
2h
Avg Wait
15
Assigned
AI Recommendation Auto-resolve 5 tickets via knowledge base - 95% confidence
P4 Low
19
Open
4h
Avg Wait
7
Assigned
AI Recommendation Batch 8 similar requests for bulk resolution
AI ASSIGNMENT Smart agent allocation: AI analyzes ticket complexity, specialist expertise, current workload, and past performance to recommend the best agent for each ticket. Automated assignments reduce manual overhead while ensuring high-quality resolutions.
AI Assignment Recommendations

Intelligent agent allocation based on expertise, workload, and performance

INC0012851 P1
Production database connection timeout affecting customer portal
Created 12 min ago • Finance Dept
AI Assignment Recommendation
DB
Database Operations Team
92% confidence • Skill match: Oracle, Connection Pooling
Why: Similar incidents (INC0011234, INC0010892) resolved by this team in avg 23 min. Keywords match: "connection timeout", "database", "portal"
INC0012849 P2
VPN authentication failures for remote employees in APAC region
Created 34 min ago • IT Shared Services
AI Assignment Recommendation
NT
Network Security Team
87% confidence • Skill match: VPN, LDAP, Regional Infra
Why: APAC VPN gateway maintenance scheduled - likely related. Team has regional expertise and current on-call rotation.
INC0012847 P1
Payment gateway returning 500 errors during checkout flow
Created 8 min ago • E-Commerce
AI Assignment Recommendation
AP
Application Support - Payments
96% confidence • Skill match: Payment Gateway, API, Node.js
Why: Revenue-impacting P1. Team owns payment service. Sarah M. resolved similar 500 error yesterday - recommend direct assignment.
Connected
156
Incidents Today
23
Changes
8
Problems
Recent Auto-Created Tickets
INC0012851 - DB connection timeout (Auto-created from ZeroOps)
INC0012847 - Updated with RCA from AI analysis
INC0012840 - Auto-resolved with remediation notes
Connected
89
Open Tickets
3
Active Sprints
34
Linked Issues
Recent Sync Activity
DEV-4521 linked to INC0012847 (Payment gateway bug)
Problem PRB0001234 escalated to OPS-892
Bi-directional sync completed (42 records)
PREDICTIVE INSIGHTS Foresee and prevent issues: Machine learning models analyze historical patterns, system logs, and performance trends to forecast potential incidents before they impact users. Proactive alerts give your team time to prevent outages.
Predictive Analytics

ML-powered incident forecasting and proactive prevention

ML-Powered
INCIDENT VOLUME FORECAST (Next 7 Days)
Mon Tue Wed Thu Fri Sat Sun
Friday Alert: 35% spike predicted
Deployment CHG0004521 scheduled
Predicted Incidents (7d)
127
89% confidence
Peak Load Time
Fri 2PM
94% confidence
Preventable Issues
23
Auto-healable
Executive Command Center
Business Impact
$2.4M
Downtime Costs Avoided (YTD)
+32% vs last year
847hrs
Engineering Hours Saved
+18% efficiency
99.94%
Platform Availability
SLA: 99.9%
12
Major Incidents Prevented
AI-blocked
Customer Sentiment (Live) Positive
😠
😊
Based on 1,247 ticket interactions today
Revenue Impact Risk Medium
$48K
At Risk
$312K
Protected
3
Critical Systems
Real-Time Collaboration Hub
Live
Active Incident Bridges
INC0012847 - Payment Gateway P1
Duration: 23 min • Started by: Sarah M.
SM
JK
AR
+2
INC0012851 - Database Timeout P1
Duration: 8 min • Started by: Mike T.
MT
DB
On-Call Roster
SM
Sarah Mitchell
L3 - Payments
Primary
MT
Mike Thompson
L3 - Database
On Call
JK
James Kim
L2 - Network
Backup
AUTOMATION Execute resolution playbooks instantly: Pre-built runbooks with AI guidance automatically execute remediation steps for common issues. From password resets to log rotation to service restarts—complex multi-step workflows become one-click operations.
Intelligent Runbook Automation

Pre-built automation playbooks executed by AI agents

Auto-Execute AI Auto-Updated
Just updated!
Pod Restart
Gracefully restart unhealthy pods with rolling strategy
142 runs 45s avg
Cache Invalidation
Clear Redis/Memcached with dependency awareness
89 runs 12s avg
DB Failover
Automated primary-replica failover with verification
7 runs 3m avg
Auto Scale-Out
Increase replicas based on load prediction
56 runs 2m avg
Change Risk Intelligence
AI Risk Score
CHG0004521 - Payment Service Deployment
Scheduled: Friday 2:00 PM • Owner: DevOps Team
High Risk
AI Analysis: Revenue-critical service. Friday deployment conflicts with peak traffic. Historical failure rate: 23% for similar changes. Recommendation: Reschedule to Tuesday 3 AM maintenance window.
CHG0004519 - Database Index Optimization
Scheduled: Thursday 11:00 PM • Owner: DBA Team
Medium Risk
AI Analysis: Index rebuild may cause temporary performance degradation. Affected services: 4. Mitigation: Enable read replicas before execution.
CHG0004517 - SSL Certificate Renewal
Scheduled: Tonight 2:00 AM • Owner: Security Team
Low Risk
AI Analysis: Standard certificate rotation. Zero-downtime process verified. Auto-rollback configured. Approved for automated execution.
Change Risk Distribution
3
High
8
Medium
12
Low
AI Recommendations
2 changes should be rescheduled
5 require additional approval
7 approved for auto-execution
Team Performance & Achievements
Gamified
🥈
MT
Mike Thompson
1,847 pts
🏆
SM
Sarah Mitchell
2,341 pts
🥉
JK
James Kim
1,623 pts
Team Achievements Unlocked
Speed Demon
MTTR < 5min
Zero Breaches
7 day streak
AI Master
50 auto-heals
Customer Hero
CSAT 4.8+
???
Locked
Actionable Insights
0
Getting Started
No Data Yet
Click "Load Sample Data" to populate the dashboard with demo applications, or "Simulate Incident" to see ZeroOps in action.
Load Sample Data
AI Agents
Live Activity
LIVE
Waiting for activity...
Start monitoring or simulate an incident
Service Map
No services mapped
Load sample data to see service dependencies
DAMAC IT Assistant
Online - Ready to help

Hello! I'm your DAMAC IT Assistant.

I can help you with:

  • Create new user accounts
  • Request system access
  • Reset passwords
  • Document access
  • IT FAQs & support

What would you like help with today?

Just now
Powered by DAMAC Agentic AI