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DevOps as a Service · flagship

Senior engineers do the thinking. Our AI agents carry the daily load.

Your infrastructure designed, built and operated end to end. CI/CD, infrastructure as code, Kubernetes, monitoring, cloud management and FinOps: one subscription instead of an in-house team, with DigitalCare’s own agents Metatron and Verdict working around the clock under engineer supervision.

What’s included

One subscription. The whole operations surface.

CI/CD

Build and release pipelines that ship every change automatically, with rollback as a first-class path.

What we runClose
GitHub Actions, GitLab CI or Azure DevOps, whichever your team already lives in
Trunk-based flow with preview environments per pull request
Rollback tested as a normal path, not a fire drill
Release history readable by non-engineers

Infrastructure as code

Terraform, Terragrunt and Helm describe everything; environments are reproducible and rebuildable.

What we runClose
Terraform modules with Terragrunt for per-environment configuration, state and drift under review
Helm charts for every service, versioned with the app
No console-only changes: infrastructure moves through pull requests
A new environment stands up from the repository alone

Managed Kubernetes

Cluster design, operation, and upgrades: managed cloud or on-prem, treated as cattle, not pets.

See the full service

Monitoring & on-call

Prometheus, Grafana, alerting wired to a pager someone actually answers, with Metatron investigating first.

What we runClose
Prometheus, Grafana, Loki: dashboards your team can read
Alerts tied to symptoms users feel, not raw CPU graphs
Metatron investigates before the pager fires at a human
Post-incident write-ups, and the fixes that follow them

Security & secrets

Secret management, access models, and patching discipline built into the platform, not bolted on.

What we runClose
Vault or cloud-native secret stores, nothing in repositories
Least-privilege access, reviewed rather than assumed
Image scanning and patch cadence for base images and dependencies
Audit trail of who changed what, and when

Backup & disaster recovery

Backups proven by restoring them, with a recovery path someone has actually walked through.

What we runClose
Databases, volumes and cluster state backed up on a schedule you approve
Restores rehearsed regularly: a backup never restored is not a backup
Retention, encryption and off-site copies defined as code
Recovery objectives agreed with you, then measured against real drills

Infrastructure Migration

Cloud exit, cloud to cloud, on-premise to cloud: Kubernetes as the portability layer, with a sovereign option and operations afterwards.

See the full service

Cloud management

Accounts, networks, identity and shared services kept in order across the clouds you actually use.

What we runClose
Accounts, subscriptions and projects structured so environments cannot bleed into each other
Networking, DNS and certificates handled centrally instead of per team
Shared services (registries, secret stores, log sinks) run once and reused
One place that knows what runs where, across every cloud you use

FinOps

Cost analysis, budgets and forecasting: typically saving 20–40% on cloud maintenance expenses.

What we runClose
Spend broken down per service, environment, and team
Rightsizing, committed-use and spot where they genuinely fit
Budgets with alerts before the invoice, not after
A monthly cost review with the decisions written down
Where this sits

Nobody else pairs accountable engineers with their own AI agents.

In-house teamClassic DevOps agencyAI-SRE productDigitalCare
Who does the thinkingYour hiresAssigned engineersYour team, tool-assistedSenior engineers
Who carries the daily loadThe same hiresBilled hoursThe tool, unsupervisedOur own AI agents, supervised
Accountability for outcomesYoursPer contract, per ticketNone: it’s softwareOurs: on-call, incidents, outcomes
Cost structureSalaries + hiring + churnHourly, grows with toilLicense + your team’s timeOne subscription, by coverage
Knowledge retentionWalks out the doorIn the vendor’s headsIn dashboardsIn code, runbooks, agent context

Swipe the table sideways →

The agents, live

What Metatron and Verdict actually do. Not adjectives: artifacts.

Metatron investigates alerts: logs, metrics, change history, a root-cause picture assembled before an engineer opens the laptop. Verdict turns approved findings into fixes, every one a pull request a human reviews and merges. Below: the real products, watching a live cluster.

Metatron · liveoverview · production sandbox
Metatron control plane overview: cluster status, alerts timeline, integrations, ArgoCD applications, and health checks for a live Kubernetes cluster
Verdict · live198 investigations · median 3m 10s
Verdict overview: 198 investigations, median time to root cause 3 minutes 10 seconds, incident heatmap, resolved investigations, and prediction warnings
The autonomy ladder: graduated trust, human on every rung
1

Watch

Agents read metrics, logs, and change history continuously. Read-only, always.

2

Investigate

On an alert, Metatron assembles the root-cause picture and posts it with evidence. Still read-only.

3

Propose

Verdict drafts the fix. Every change ships as a pull request: nothing touches production directly.

4

Human merges

A senior engineer reviews, merges, and owns the outcome. Trust is graduated; accountability isn’t.

Engagement model

Assessment is free. The quote comes from it, not from a price list.

Assess · free · week one

Audit of infrastructure, delivery pipeline, and cloud spend. Quick wins you can apply immediately, a plan, and a concrete quote.

Build · fixed scope

Everything as code: pipelines, clusters, monitoring, secrets. Fixed-scope work with a defined end state.

Operate · subscription

Monthly subscription billed by coverage, the services and environments we answer for, not by hours. Engineers on-call, agents on watch.

No public price list: the assessment produces the quote for your infrastructure.

FAQ6 questionsCloseOpen
What do the AI agents touch in production?

Nothing directly. Investigations are read-only: the agents gather logs, metrics, and change history and assemble a root-cause picture. Any fix ships as a pull request a human engineer reviews and merges.

What happens when the agent is wrong?

A senior engineer owns the outcome, always. The agent’s work is evidence, not authority: a wrong hypothesis costs minutes of engineer review, not an outage.

Is this staff augmentation?

No. You are not renting hours: you are buying outcome accountability under one subscription. Your infrastructure designed, built, operated, and answered for.

What is in the free assessment?

One week: an audit of your infrastructure, delivery pipeline, and cloud spend; quick wins you can apply immediately; and a concrete plan with a quote. Real findings, no obligation.

How is it billed?

Build work is fixed-scope. Operations are a monthly subscription billed by coverage, the services and environments we answer for, not by hours. The assessment produces a concrete quote; there is no public price list.

Do we lose knowledge when engineers rotate?

Everything lives in code and runbooks: infrastructure as code, documented decisions, agent-maintained context. Knowledge is retained by the system, not by whoever happens to be on shift.

Start with the free assessment.

One week, real findings, no obligation: an audit of your infrastructure, quick wins, and a concrete quote.