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Managed Runtime Assurance for AI-era software

Ship AI fast.
Stay in control.

Critical Cloud operates, secures and governs the cloud, observability and AI runtime layer behind mission-critical software. Your team owns the product. We own the operating layer that keeps it reliable, secure, cost-controlled and evidence-ready, powered by Datadog.

Talk to us about runtime assurance → See Critical Support
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01 — The operating model

Managed Runtime Assurance is the operating model behind serious software.

Software is becoming faster to create, but production is not becoming easier to operate safely. Every application, AI feature and agentic workflow creates runtime risk: reliability, security, cost, resilience, evidence and human approval. Critical Cloud brings those responsibilities together as one managed outcome.

Production stays healthy, incidents are handled, controls are enforced and evidence is ready.

What we own

  • Observability and signal quality
  • Incident response and escalation
  • Cloud runtime operations
  • Security operations and access governance
  • Cost control and optimisation
  • Runtime evidence and assurance reporting
  • Human governance for AI-assisted operations

What you own

  • Product idea
  • Application code
  • Model behaviour
  • Business logic
  • Customer experience
  • Product roadmap

We operate the stack. You own the product.

What is Managed Runtime Assurance? →

02 — The boundary

We operate the stack. You own the product.

We operate, secure, and govern the stack your AI runs on. We never touch your app, your model, or your business logic. That boundary is what makes us a trustworthy, impartial layer: we have no agenda over your product, so we can stand behind whether your operations are sound.

15 min
Incident response target
24×7
Always-on coverage
200+
Cloud projects delivered
Certified
ISO 27001 + Cyber Essentials Plus

03 — human-in-loop

Agents own the analysis. Humans own the outcome.

Agents are good at the labour: root-cause analysis across telemetry no human can hold in their head, surfacing correlations, drafting fixes. What does not automate is ownership of the outcome. A human evaluates the plan, weighs the context the agent lacks, and stays accountable for accuracy, trust, and compliance.

In control of failures
Datadog Bits AI detection and remediation, under our governance
In control of the attack surface
AI Guard and runtime protection, operated by us
In control in production
Agent Observability and the Agent Console
The foundation
The full Datadog platform we are accredited to operate
Bits AI SRE · investigation
Datadog Bits AI SRE investigating high latency on flight-query-api: hypotheses validated, remediation steps drafted for an engineer to approve.
Agents investigate, humans approve. Bits AI SRE assembles hypotheses and remediation; our engineers own the call.

04 — Cloud · Datadog · AI

Cloud, Datadog, AI.

We operate cloud platforms using Datadog to deliver unified observability across infrastructure, APM, logs, traces, security signals, cloud cost insight, and LLM monitoring. Our services group simply around how we deliver that outcome.

Datadog · Cloudcraft observability map
Datadog Cloudcraft observability view showing live agent coverage across an AWS estate: 80 agents installed, 28 outdated, coverage broken down by APM, CSPM, CWS and logs.
One view of the whole estate. Live agent and signal coverage across AWS and Azure — infrastructure, APM, security, and cost in a single Datadog plane we operate for you.
01 Cloud AWS and Azure platforms designed for modern and AI-driven workloads — infrastructure as code, least-privilege access, deep observability.

Critical Support

Datadog-powered cloud managed services for AWS and Azure, combining 24×7 incident management with improvement engineering.

  • Always-on coverage for your cloud platform, with clear ownership and escalation.
  • Real engineers embedded alongside your team, not ticket-only support.
  • Improvement hours every month so reliability, security, and cost control improve over time.
  • Datadog-first visibility for faster diagnosis and less noise.
  • Transparent operations — you retain access to your operational data while we manage and optimise the observability layer.
AWS + Azure CloudOps / SRE Shared responsibility
02 Datadog Implementation, optimisation, and managed Datadog — delivered by engineers who run Datadog as the backbone of our own managed services.

Datadog expertise

Adopt Datadog cleanly, reduce alert noise, and keep your observability estate healthy as you scale.

  • FETCH™ — fast, structured implementation that gets you to meaningful value from your Datadog trial.
  • LaunchPad™ — fully managed, end-to-end Datadog deployment delivered by Critical Cloud.
  • HyperCare™ — stabilisation after go-live: noise reduction, SLOs, and runbooks that match real operations.
  • Managed Datadog — ongoing hygiene, improvements, and platform evolution by engineers who live in Datadog daily.
FETCH™ LaunchPad™ HyperCare™ Managed Datadog
03 AI AI infrastructure on AWS and Azure, plus AI Factory deployments — built with human-in-the-loop controls, auditability, and cost guardrails.

AI, powered by Datadog

We use Datadog to give your AI workloads full visibility — LLM observability, agent tracing, GPU monitoring. And we use Datadog’s own AI to run your cloud operations leaner and faster.

Datadog for AI

LLM and agent observability, quality evaluation, and GPU fleet monitoring — observable, evaluated, and cost-controlled in production.

AI for Datadog

Bits AI SRE, Watchdog, and Security Analyst inside our managed service — engineers arrive at incidents with context, not a blank screen.

LLM tracing Agent observability GPU monitoring AI Factory

05 — the differentiator

Powered by Datadog, not locked behind it.

Many traditional cloud MSPs rely on locked-down proprietary monitoring that prioritises provider efficiency over customer insight, exposing a one-size-fits-all view and keeping customers dependent.

Read the full approach

Critical Cloud takes a different approach: bespoke managed services built on Datadog, the industry-leading observability platform. Every Critical Support customer has direct access to their own Datadog environment, with full-fidelity visibility across infrastructure, APM, logs, traces, security signals, cloud cost insight, and LLM monitoring, tailored to their AWS and Azure architecture.

Datadog is embedded into our 24×7 operational model, driving real-time alerting, faster diagnosis, and disciplined incident response, so issues are detected early, understood in context, and resolved decisively.

Datadog · unified asset visibility
Datadog app unifying device and asset visibility across vendors: 54 unique devices, CrowdStrike, SentinelOne and Intune coverage with OS distribution charts.
Your data stays yours. Full-fidelity coverage in a Datadog environment you keep direct access to — we manage and optimise it, you never lose visibility.

observe → respond → improve

How we operate

01

Instrument the platform

Datadog foundations: tagging, dashboards, alert hygiene, SLOs and ownership so the signals are trustworthy.

02

Operate 24×7

Incident ownership with clear escalation. Fast diagnosis, controlled remediation, and structured communication.

03

Improve continuously

Monthly engineering to reduce repeat incidents, strengthen security posture, and control cloud cost.

06 — proof

Case studies

View all case studies →
Cloud · Critical Support · Azure

OPX: Driving observability with Datadog

Datadog underpinned Azure migration, delivering visibility, faster response, proactive monitoring.

Datadog · FETCH™ · SaaS

CETA: Getting more from a Datadog trial

FETCH delivered rapid Datadog value; HyperCare accelerated adoption with observability.

Datadog · HyperCare™ · Azure

EIP: Rapid, reliable Datadog onboarding

HyperCare enabled fast Datadog rollout across Azure supporting 140+ services.

Experience you can verify

Critical Cloud delivers Datadog-powered cloud managed services for AWS and Azure. Our work is led by practitioners with deep production experience in modern cloud operations, incident response, and observability.

60%
Lower MTTR in production
75%
Lower than an in-house team
200+
Cloud projects delivered
10+ yrs
Datadog experience

Around 75% lower than building an in-house team — budget reallocation, not net new spend: recruiting, paying, tooling, and rota-ing an internal team for 24/7 cloud operations, redirected into a managed service that already runs at that standard.

Our capabilities
24×7 Incident Management CloudOps / SRE AWS & Azure Platforms Datadog Platform Engineering Security & Compliance Cloud Cost Insight Automation & Runbooks AI Workloads & LLM Monitoring

Built for regulated industries.

Our specialism is sectors where failure has consequences and where compliance obligations mean the operating model, evidence trail, and security posture of the MSP matter as much as uptime.

Financial Services & Fintech Healthcare & Healthtech SaaS & Technology Retail & E-commerce All industries →

07 — trust

Partnerships and compliance

Officially accredited. Independently certified. Built for trust. Powered by Datadog and an Advanced Partner in the UK, with AWS and Microsoft partnerships. ISO 27001 and Cyber Essentials Plus underpin secure, auditable delivery.

Powered by Datadog
Datadog Advanced Partner (UK)
AWS Partner
Microsoft Partner
ISO 27001
Cyber Essentials Plus

FAQ

The questions we get most often from tech-led teams considering Critical Support or Datadog services.

What is Critical Cloud’s trust layer for AI operations?

The accountable layer that lets a company ship autonomous systems fast and stay in control of them in production. We operate, secure, and govern the stack the AI runs on, so the team can stay focused on the product.

What is Critical Support?

Critical Support is our 24×7 cloud managed service for AWS and Azure. We take incident ownership and deliver improvement engineering every month so reliability, security, and cost control improve over time.

Do we keep access to our Datadog data and dashboards?

Yes. We aim for transparent operations. You retain access to your operational data and visibility, while we build, manage, and continuously optimise the observability layer and operating practices.

What happens in the first 30 days?

We onboard access safely, establish operational ownership and escalation, baseline dashboards and alerting, and agree the first improvement plan. The goal is to stabilise quickly and then move into continuous improvement.

How fast do you respond to incidents?

Our target is a 15-minute incident response, with clear escalation. We’ll confirm the exact targets and communication model during onboarding to match your platform and risk profile.

Can you help with Datadog even if we don’t need a full MSP?

Yes. We offer implementation and stabilisation packages (e.g., FETCH™ and HyperCare™) as well as ongoing managed Datadog. Ideal if you want Datadog done properly without committing to full 24×7 operations.

Do you support AWS, Azure, or both?

Both. We specialise in AWS and Azure, and can support single-cloud or multi-cloud depending on how your product and risk profile evolve.

Talk to us about your runtime layer.

Start with the cloud, Datadog, incident or AI runtime problem you have today. Build toward a Managed Runtime Assurance model that supports where your software is going.

Book a runtime assurance call → What is Managed Runtime Assurance?