Managed Cloud and Site Reliability
Your cloud estate watched and run through every hour, with reliability you can measure.
Why It Matters
Cloud estates fail in ways the dashboards do not show, as alerts arrive in floods and engineers chase symptoms.
The same incident returns because monitoring alone does not remove its cause. Someone must decide what matters, act on it and fix the source, through every hour of the week.
What We Do
Monitoring and Observability
Logs, metrics and traces that answer real questions, with alerts tied to what users experience.
Site Reliability Engineering
Engineers set a reliability target for each service, measure it and remove the causes of failure.
Round-the-Clock Operations
A named team watches the estate through every hour, within response times agreed for each severity.
Incident Management
One process leads the response, the recovery and the review, and every significant incident ends with a fix and an owner.
What Changes for You
Reliability You Can Measure
Each service has an agreed target and a current figure, so you can see whether it meets the target at any time.
Incidents Contained Early
Alerts are tuned to the signals that matter, so your team hears about a real problem before customers do.
Calmer Operations
On-call follows one process with a written review after each significant incident, and repeat causes get fixed.
What We Run and Watch
We watch the cloud accounts, clusters and services that carry your product. A written coverage list names every account, workload and alert channel, so you know what is watched and what is not. Migration and architecture belong to our cloud migration service.
The Estate
Accounts, clusters, managed services and the applications on them are watched through every hour. The coverage list is checked with your team each month, and a new account joins it before it takes live traffic.
Your Services
Each service has a reliability target tied to what users experience and a dashboard that shows whether it meets the target. Alerts reach someone who can act on them.
Identity and Access
Cloud sign-ins, administrator roles and changes to access are watched as they happen. A stolen account is raised before it reaches production data.
Network
Traffic between accounts, clusters and your own sites is watched for the routes a failure or an attacker would use. We look at the paths between services, not only at the public edge.
Service Levels
| Priority | Response | Escalation | Resolution |
|---|---|---|---|
| P1 | under 15 minutes | immediate war-room mobilisation | under 2 to 4 hours |
| P2 | under 30 minutes | within 1 hour | under 8 hours |
| P3 | under 4 business hours | the next daily triage | 24 to 48 business hours |
| P4 | under 1 business day | the next scheduled sprint | the next scheduled release |
Response
- P1
- under 15 minutes
- P2
- under 30 minutes
- P3
- under 4 business hours
- P4
- under 1 business day
Escalation
- P1
- immediate war-room mobilisation
- P2
- within 1 hour
- P3
- the next daily triage
- P4
- the next scheduled sprint
Resolution
- P1
- under 2 to 4 hours
- P2
- under 8 hours
- P3
- 24 to 48 business hours
- P4
- the next scheduled release
Onboarding
Onboarding follows a fixed order and each stage has a named owner. Coverage grows in front of you, and the service does not go live until you have seen it.
Connect
We connect the accounts, logs, metrics and alert channels the service needs, and a short list names every source and its owner. You provide the access and confirm the list before we tune anything.
Measure the Baseline
We record incidents, alerts, response times and open risks before we change anything. You confirm the baseline is complete before targets are set.
Agree the Targets
We agree a reliability target for each service with the people who own it. You approve the response time and the escalation path for each severity.
Rehearse
We break a real service in a controlled exercise and follow the same call tree an incident would use. You name the people who join, the decisions they may take and the point where the exercise stops.
Review
At the first review we compare coverage, response times and the gaps we found. You agree the priorities and the changes for the next period.
Reporting
Every month you receive the alerts we answered, the incidents we handled and the reliability figure for each service. The report names what changed, how long users were affected and what we fixed at the source.
A Monthly Report
Reliability against the target, incidents and open risks for each service, in one document. The figures come from the same telemetry your team can open.
An Incident Report
Each incident is written up with its timeline, its cause and the change that prevents a repeat. The owner and the date sit beside each action.
A Board Summary
Leaders get the effect on customers and the decisions they need to make, with the technical detail kept in an appendix.
Platforms and Technologies
OpenTelemetry collects logs, metrics and traces in one open format. Prometheus stores the measurements, and Grafana shows them on dashboards your team can read. Kubernetes runs the workloads on Amazon Web Services (AWS) or Google Cloud, or on Red Hat Enterprise Linux servers.
- Cloud
- Amazon Web Services
- Google Cloud
- Red Hat Enterprise Linux
- DevOps and observability
- OpenTelemetry
- Prometheus
- Grafana
- Kubernetes
Naming a product does not mean a partnership with its vendor.
AWS
We set up AWS accounts and guardrails, move workloads with its migration tools and keep cost and access visible.
Google Cloud
We build data, analytics and AI systems on Google Cloud, with BigQuery, Vertex AI and GKE under one control model.
Red Hat
We build OpenShift platforms on Red Hat, move applications into containers and keep operations planned.
NVIDIA
We size and build GPU estates on NVIDIA for training and inference, then prove the stack under a real workload.
Industries
Banking and Financial Services
Banking, payments, lending, wealth, insurance and digital wallets: the platforms they run on and the connections between them.
Energy and Utilities
Smart-grid analytics, OT defence, asset maintenance and ESG reporting for energy producers, utilities and grid operators.
Media and Telecommunications
Consumer platforms, streaming, connected devices and ad-tech that stay fast at peak audience, with AI for content and personalisation.
Software and Technology Companies
Software companies and technology teams: multi-tenant products, platforms and the AI features and billing that keep them growing.
Questions
What operations leaders ask before they hand over the estate.
What does site reliability engineering add to ordinary monitoring?
Monitoring tells you something is wrong. Site reliability engineering sets a target for each service and measures it. It then removes the causes of failure.
Who is on call, and how quickly do you respond?
Our engineers watch the alerts and answer within the time agreed for each severity. Your team keeps the business decisions, and we keep the timeline, the actions and the evidence.
Must we move to your monitoring tools?
No. We use the cloud and monitoring tools you already run where they give us the data we need. We name any gap before the service starts.
Where do our logs and metrics live?
Logs and metrics stay in the cloud region you choose and follow your access rules. We keep only what the service needs, and the data is deleted when the agreement ends.
Can we run the service ourselves later?
Yes. Your team gets the dashboards, runbooks and review records. We train them and step back when they are ready.
Tell Us What You Need to Run, Build or Secure.
Describe the service, the systems and the pressure you are under. The right team takes it from there.