AI-POWERED CLOUD OPERATIONS
Your Cloud, Watched by AI. Run by Accountable Engineers.
AI-Powered Cloud Operations is RTS’s managed service for hybrid and multi-cloud estates — autonomous monitoring, correlated incidents, and automated remediation across AWS, Azure, and Google Cloud, delivered by an operations team that owns the outcome and powered by Juno HawkAI.
The visibility gap
Alerts pile up. Context doesn’t.
Modern cloud environments generate thousands of alerts, monitoring signals, tickets, and operational events every day. Traditional managed services often struggle to provide the visibility and intelligence needed to act quickly.
Noise as a way of life
- SignalsAlerts from a dozen tools with no shared context
- TicketsRaised with no operational history attached
- ResponseEscalated manually while the clock keeps running
- OwnershipSplit across teams with no one accountable for the outcome
Noise that gets triaged instead of resolved
Clarity as an operating model
- SignalsAggregated into one operational decision layer
- TicketsEnriched with system and monitoring context automatically
- ResponseCorrelated incidents routed to the right engineer, fast
- OwnershipOne operations team accountable for the outcome
Signal that drives action, not more noise
How the service runs
Monitor, correlate, optimize, automate.
The four disciplines that keep hybrid and multi-cloud estates healthy, run as a continuous loop rather than a break-fix queue.
Phase 01
Monitor
Collect and analyze operational signals across cloud infrastructure, applications, monitoring platforms, and business systems.
Phase 02
Correlate
Combine monitoring data, alerts, tickets, and operational context to reduce noise and improve visibility.
Phase 03
Optimize
Improve performance, governance, security posture, operational workflows, and cloud cost efficiency.
Phase 04
Automate
Apply agentic AI-powered operations and automation to accelerate response times and improve service delivery.
Operational intelligence
Built into managed services.
Resolve Tech Solutions combines cloud management with AI-powered operational intelligence to improve visibility, reduce noise, enrich ticket context, and accelerate decision-making.
Monitor of Monitors
Aggregate signals from multiple monitoring tools into one operational decision layer.
Ticket Enrichment
Add operational, system, and monitoring context to tickets for better triage and response.
Signal Clarity
Reduce alert noise and help teams focus on meaningful operational events.
Multi-Cloud Coverage
Support scalable operations across AWS, Azure, and Google Cloud from one accountable team.
What changes when cloud operations become intelligent.
The outcomes our managed cloud clients hold us to, measured against their own baseline at onboarding.
Mean time to detect and resolve incidents
Alert volume reaching your team
One operations team, one outcome
Cloud spend and performance, continuously
Start with a look at what your monitoring is missing.
Talk to an expert about how AI-powered operations can reduce noise, correlate incidents, and give your team one accountable partner for hybrid and multi-cloud environments.