AI TOOL PROFILE
Critical Cloud: Managed Cloud Operations
- Operations
- Cloud Infrastructure
- Tech-led small and medium businesses
- Companies using AWS or Azure
- Teams utilizing Datadog for observability
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Tech-led small and medium businesses, Companies using AWS or Azure, Teams utilizing Datadog for observability
- Key use cases
- AWS and Azure Platform Management, Datadog Onboarding, Cloud Cost and Security Support, Scaling AI Workloads
- Integrations
- AWS, Azure, Datadog
- Official website
- Visit Critical Cloud tools official website
How AI is used
Critical Cloud is a managed service provider focusing on cloud operations for AWS and Azure. The service uses Datadog as its operational foundation, allowing customers to retain direct access to their own observability data rather than using proprietary tools.
The service is designed for businesses that need constant oversight of their cloud infrastructure. It combines incident response with a monthly engineering cycle intended to reduce repeat issues and help control cloud costs.
Additionally, they provide support for AI infrastructure and LLM monitoring, which may help companies move AI projects from proof-of-concept to production using cost guardrails.
Buyers should confirm whether they require a full 24/7 managed service or a targeted Datadog implementation, as the company offers both comprehensive support and standalone setup packages.
Key Features
24/7 Incident Management
Continuous monitoring and incident ownership for AWS and Azure platforms with a 15-minute response target.
Monthly Improvement Engineering
Regular engineering work designed to reduce repeat incidents, support security posture, and manage cloud costs.
Datadog Implementation
Support for establishing Datadog foundations, including tagging, dashboards, and alert hygiene.
AI Infrastructure Deployment
Support for AI Factory deployments on AWS and Azure with human-in-the-loop controls and cost guardrails.
Unified Observability
Monitoring for infrastructure, APM, logs, traces, and security signals.
LLM Monitoring
Observability tools designed specifically for AI workloads.
Use Cases
AWS and Azure Platform Management
Providing 24/7 operational support and incident response for cloud-based environments.
Datadog Onboarding
Using structured packages like FETCH and HyperCare to set up Datadog and manage alert noise.
Cloud Cost and Security Support
Applying monthly engineering updates to help improve security posture and control cloud spending.
Scaling AI Workloads
Moving AI models from POC to production with specific operating models and monitoring.
Integrations
- AWS
- Azure
- Datadog
FAQ
What is Critical Support?
- It is a 24/7 managed service for AWS and Azure that combines incident ownership with monthly engineering to support platform reliability, security, and cost.
Do customers keep access to their own data?
- Yes, customers retain direct access to their own Datadog environment and operational data.
Does Critical Cloud only provide full managed services?
- No, they also offer standalone implementation and stabilisation packages, such as FETCH and HyperCare, for those who only need Datadog setup.
What is the typical incident response time?
- Their target response time for incidents is 15 minutes.
Source category: Operations
Source subcategory: Cloud Infrastructure
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