We help tech-led teams get to signal quality fast: consistent instrumentation, sensible alerting, clear ownership, cost guardrails, and dashboards that match how your services actually run. Powered by Datadog isn’t a slogan for us — it’s how we operate.
Pick the engagement that matches where you are in the journey — from trial to production rollout to ongoing optimisation.
We run Datadog every day inside our managed service (Critical Support). That means our advice is grounded in what works under pressure: incident response, alert tuning, ownership mapping, telemetry cost control, and repeatable standards.
If you want 24×7 operations with Datadog embedded into the service model, see Critical Support.
Four engagement options, designed around how teams actually adopt Datadog: trial → rollout → stabilise → optimise. If you’re moving from legacy tooling, we also deliver structured migrations.
FETCH™
Free technical setup and enablement for your Datadog trial: integrations, early dashboards, cost guardrails, and a guided plan so you can prove value quickly.
LaunchPad™
A fully managed, phased rollout where Critical Cloud leads delivery end-to-end. We standardise tagging, dashboards, alerting, SLOs, and logging governance so Datadog is production-grade from day one.
HyperCare™
Your first months after go-live, done right. We work alongside your team to reduce noise, expand coverage, adopt advanced features, and embed Datadog into day-to-day operations.
Managed Datadog
Ongoing platform management for teams that want Datadog to stay clean as they scale. We run the backlog, keep standards tight, and evolve your dashboards, SLOs, and governance.
Basic agents and ad-hoc dashboards; minimal tagging and depth.
Complete infra + APM + log coverage, ownership, alerts, dashboards, SLOs.
Cost optimisation, noise reduction, governance, automation, SLO lifecycle.
Predictive insights, synthetic UX, deeper APM optimisation, reliability engineering.
Not sure where you are today? We can assess quickly and recommend the simplest next step.
We cover the full Datadog platform — with deeper focus on observability, security, digital experience, and AI monitoring. The goal is one consistent, searchable view across infrastructure, applications, logs, security signals, cloud cost, and AI workloads.
Observability
Infrastructure, containers, logs, traces and service health — joined up so engineers can answer “what changed?” fast.
Digital experience
APM and user experience monitoring that connects customer impact to services and deployments.
Security
Security telemetry that becomes operational: detection, triage, and response workflows aligned to ownership.
AI
Observability for AI workloads — plus LLM monitoring where relevant — so performance and cost stay predictable.
We regularly implement and optimise additional Datadog surfaces—depending on your stack and operating model.
Traditional MSPs often rely on proprietary monitoring that limits customer insight. Critical Cloud takes a different approach: bespoke managed services built on Datadog. Customers retain direct access to their Datadog environment, with full-fidelity visibility tailored to your AWS and/or Azure architecture.
If you’re moving off legacy tooling, we deliver structured migrations with clear scope, low risk, and operational continuity. The most common request: Splunk → Datadog.
Splunk → Datadog (logs + dashboards)
A predictable migration to Datadog log ingestion: pipeline design, tagging and enrichment, dashboard recreation, side-by-side validation, and a controlled cutover.
What we do
How we deliver
Result: clean Datadog pipelines, dashboards that work day one, and a cutover without visibility gaps.
Discuss a migration →Tool consolidation & observability redesign
If you have multiple monitoring tools, duplicated alerting, or inconsistent tagging, we can redesign the observability layer so teams have one clear operational picture.
For teams who want Datadog to stay clean and useful as the platform grows. We manage the backlog, keep governance tight, and continually improve signal quality and observability maturity.
You keep ownership of your apps and decisions. We manage and improve the Datadog layer.
Examples of Datadog work across implementation, optimisation, and managed outcomes.
OPX — Driving observability with Datadog
Datadog-first observability patterns to improve visibility and operational confidence.
CETA — FETCH trial enablement
Structured setup and guided adoption to prove value fast during a Datadog trial.
EIP — Datadog HyperCare
Post go-live stabilisation: noise reduction, standards, and stronger operational workflows.
It depends on the engagement. HyperCare and Managed Datadog can often be delivered with admin access to your Datadog account only. LaunchPad may require infrastructure access to implement agents, integrations, and standard patterns end-to-end.
Yes. We can stabilise and improve an existing setup: tagging, dashboards, alert noise reduction, SLOs, cost guardrails, and expanding coverage in controlled waves.
Start with FETCH if you want structured, low-friction support during the trial. If you already know you want Datadog and you’d rather not run the rollout yourself, LaunchPad is the fastest path to a production-grade setup.
Yes. We commonly help teams operationalise security signals and implement cloud cost visibility and guardrails. The goal is to create actionable workflows (not just more dashboards).
AWS and Azure. We implement Datadog in both, and we also operate cloud platforms 24×7 through Critical Support.
Tell us what you’re trying to achieve—clean rollout, reduced noise, security visibility, cost control, or AI workload monitoring. We’ll recommend the simplest engagement (FETCH, LaunchPad, HyperCare, or Managed Datadog).