Critical Cloud: Managed Cloud Operations
Critical Cloud supports tech-led SMBs in managing AWS and Azure environments. It is designed for teams requiring 24/7 incident ownership and Datadog implementation services.
At a glance
- Category
- Operations
- Best for
- 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.
- Key use cases
- AWS and Azure Platform Management, Datadog Onboarding, Cloud Cost and Security Support, Scaling AI Workloads
- Integrations
- AWS, Azure, Datadog
- Official website
- criticalcloud.ai/
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
Continuous monitoring and incident ownership for AWS and Azure platforms with a 15-minute response target.
Regular engineering work designed to reduce repeat incidents, support security posture, and manage cloud costs.
Support for establishing Datadog foundations, including tagging, dashboards, and alert hygiene.
Support for AI Factory deployments on AWS and Azure with human-in-the-loop controls and cost guardrails.
Monitoring for infrastructure, APM, logs, traces, and security signals.
Observability tools designed specifically for AI workloads.
Use Cases
Providing 24/7 operational support and incident response for cloud-based environments.
Using structured packages like FETCH and HyperCare to set up Datadog and manage alert noise.
Applying monthly engineering updates to help improve security posture and control cloud spending.
Moving AI models from POC to production with specific operating models and monitoring.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
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.
Yes, customers retain direct access to their own Datadog environment and operational data.
No, they also offer standalone implementation and stabilisation packages, such as FETCH and HyperCare, for those who only need Datadog setup.
Their target response time for incidents is 15 minutes.
Source category: Operations
Source subcategory: Cloud Infrastructure
