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Managed Services

Delivery is the beginning, not the end

Most of the value in a cloud, data or AI investment is created in the years after the project team leaves. Celestique Cloud stays accountable for the environments we build and takes on environments built by others, monitoring what matters, correcting drift, improving security posture and reporting in language a non-technical sponsor can read. Coverage hours, service levels, escalation paths and reporting cadence are agreed with you per engagement and written into your service description, not sold as a fixed tier.

Also called: Managed cloud services · Cloud managed service provider (MSP) · Azure and AWS support · Cloud operations (CloudOps) · FinOps and cloud cost management · Post-implementation support

Choose your platform

Business outcomes

Your platform keeps earning its business case after go-live, with cost, security posture, reliability and adoption reviewed on an agreed cycle rather than left to drift.

What changes for the business, and how we agree to measure it before work starts.

The business case survives go-live
The sponsor who funded the work and the team who run it keep the same measure in view, because we track the metric agreed in the original business case, whether that is hours removed, cycle time or error rate, and report it beside platform health. If the number stops moving it becomes an improvement item, not a surprise at renewal.Agreed measure: The measure named in the original business case, restated at transition and reported alongside platform health.
Cloud cost finance can forecast
Finance receives a monthly view of spend by application, environment and owner, with variance explained rather than merely listed. Idle resources, oversized services and commitment gaps arrive as costed recommendations you approve before anything changes.Agreed measure: Share of spend attributable to an owning application and team, plus variance against forecast, from a baseline taken at transition.
Security posture that moves in one direction
Your security lead sees the same finding set every month, ranked by exposure and business impact, split into closed, accepted and still open. Progress is measured as findings closed against findings accepted, so an accepted risk becomes a recorded decision instead of an oversight.Agreed measure: Findings closed against findings accepted, counted from the posture baseline captured before we accept the environment.
Data and AI that stay trustworthy
Analysts and the people relying on an assistant keep a working service, because pipeline freshness, failure rates and AI response quality are monitored well after launch. Where quality drifts we bring evidence and a proposed change, not a status colour.Agreed measure: Pipeline freshness and run success rate, plus answer quality against an evaluation set your experts agree before build.
Recovery you have actually tested
The executive accountable for continuity gets a proven restore rather than a documented intention. We agree recovery objectives per workload, run restore tests on a schedule you set, and record what each test proved and what it did not cover.Agreed measure: Restore tests completed against the recovery objective agreed per workload, with the untested gap written down each time.
One accountable team across the stack
Your internal IT lead stops brokering between a cloud partner, a data contractor and an application vendor. Cloud, data, security and AI operations sit with one team, under one reporting pack and one escalation path agreed at the start of the engagement.Agreed measure: Named owner recorded against every component and every escalation step, agreed in writing at the acceptance point.

Common client problems

What we usually hear first.

These are the sentences that start most engagements, and what we do about each one.

  • The project finished, the consultants left, and now nobody really owns this.

    We take on the environment through a documented transition rather than an email handover, verifying access, dependencies, backup coverage and monitoring before we accept responsibility. Ownership is written down component by component, including the parts that deliberately stay with your team.

  • Our cloud bill goes up every month and nobody can tell me why.

    We attribute spend to applications, environments and owners using account or subscription structure and tagging, then explain month-on-month variance line by line. Each savings action is presented with the effort, the risk and the expected saving so you can decide what is worth doing.

  • We usually find out something is broken when a customer tells us.

    We instrument the paths that matter to the business, not just the servers, so a failed nightly load or a broken integration raises an alert before it reaches a user. Thresholds and notification routing are agreed with you, and we tune them down when they start generating noise.

  • We passed the security review at go-live and have not looked at it since.

    Posture is reviewed on a set cycle against the control set you have chosen to align to, with new findings triaged and older ones tracked to closure. We produce the operational evidence; we do not certify anything, and formal assessment stays with an accredited third party.

  • Our reports come out of somebody's laptop and they are always late.

    We move scheduled work onto managed pipelines with owners, retry behaviour and monitored runs, so a late report is visible to us before it is visible to you. Where a spreadsheet is genuinely the right tool we say so and secure it instead of rebuilding it.

  • The AI assistant demonstrated brilliantly. Six months on, people have stopped using it.

    We monitor usage, unanswered questions and response quality against a sample set your subject-matter experts review, so a decline in value shows up as data rather than as anecdote. Content gaps, retrieval problems and prompt changes then become ordinary improvement work.

Capabilities

What this domain covers.

  • Cloud platform operations
  • Application and integration support
  • Data pipeline operations
  • AI monitoring and evaluation
  • Security posture improvement
  • Cost optimisation and forecasting
  • Backup and restore testing
  • Incident coordination
  • Change and release support
  • Patching and configuration drift control
  • Identity and access reviews
  • Monitoring and alert tuning
  • Monthly service reporting
  • Continuous improvement backlog

How we deliver

From assessment through to the day we are still operating it.

  1. 01

    Service assessment and transition

    Before we take responsibility for an environment we establish what is actually running, what it costs, how it is protected and where the undocumented dependencies sit. The output is a transition plan with a written acceptance point.

    • Inventory including the undocumented. Subscriptions or accounts, workloads, data pipelines, integrations and third-party dependencies, including the ones nobody has written down.
    • Coverage verified, not assumed. Current monitoring, alerting and backup configuration reviewed to record which workloads are genuinely covered and which only appear to be.
    • Access tested before transition. Administrative and break-glass access, credential ownership and licence entitlements proven now, so none of it is discovered during an incident.
    • Cost and posture baselined. Spend baselined by application and environment, and posture baselined against the control set you align to, so later reporting has a starting point.
    • Scope agreed in writing. Coverage hours, contact channels, escalation path, what is in scope, what is explicitly out of scope and who decides, all recorded in the service description.
    • Remediation list before acceptance. A prioritised list for anything unsafe to operate as found, separating what we fix during transition from what becomes funded project work.
  2. 02

    Operating model and observability design

    A service is only as good as the signals it runs on. We design the monitoring, automation and reporting that make an environment operable, then hold that configuration in code so it survives staff changes.

    • Indicators taken from the business process. Service-level indicators defined per workload from what the process depends on, such as nightly load completion, integration success rate or order submission availability.
    • Retention decided per source. Metric, log and trace collection configured with retention and sampling chosen source by source, so observability cost is a decision rather than an accident.
    • Owned alerts with linked runbooks. Alert rules carry a severity, a named owner and a linked runbook, and the alerts nobody has ever acted on are removed rather than muted.
    • Repetitive work automated in code. Patch cycles, certificate renewal, scaling schedules and non-production shutdown automated, with the automation held in version control you own.
    • Guardrails expressed as policy. Environment standards written as policy so configuration drift is detected and, where it is safe to do so, corrected automatically.
    • Reporting generated, not assembled. The reporting pack built once from platform data, so monthly reporting is produced automatically rather than by hand the week it is due.
  3. 03

    Security posture in operations

    Security work does not stop at go-live and neither does exposure. Posture, identity and data protection stay under review on an agreed cycle, and you receive evidence of the state of each.

    • Findings triaged by exploitability. Posture findings ranked on a set cadence by exploitability and business impact, with every one tracked to closed, accepted with an owner, or scheduled.
    • Access reviews on a set cycle. Privileged roles, service identities, guest accounts and dormant users reviewed periodically, with standing access removed where it is no longer justified.
    • Secrets tracked by age and expiry. Secrets, keys and certificates monitored for age and expiry, then rotated on a schedule agreed with each application owner instead of at the point of outage.
    • Patch status visible per workload. Vulnerability and patch state reported workload by workload, with every exception recorded against a named owner and a review date.
    • One destination for security signals. Detections routed into a single place so an investigation starts with context, following escalation steps agreed before an incident rather than during one.
    • Evidence, never certification. We produce operational evidence supporting your alignment to frameworks such as the Essential Eight or ISO 27001; we hold no certification and perform no audit.
  4. 04

    Working with your people

    A managed service that only functions while we are in the room has failed. Knowledge transfer is deliberate, and your team stays able to operate the environment without us.

    • Service commencement run jointly. A session with your team covering what we watch, what we change, what we escalate and what still needs a decision from you.
    • Runbooks kept in your tenancy. Documentation and automation live in your tenancy or repository rather than ours, updated as part of each change instead of once a year.
    • A service review with both audiences. A scheduled review with the technical owner and the business sponsor covering incidents, changes, cost, posture and the improvement backlog.
    • Your staff coached on the tooling. Your internal engineers taught the tools we use, so routine questions can be answered by your team without raising a ticket with us.
    • A report a sponsor can read. A plain-language monthly report that needs no translation, including what we recommend next and what we need from you to do it.
    • Exit path documented from day one. The handback path kept current so you can bring the service in-house or move it elsewhere without an archaeology exercise.
  5. 05

    The ongoing service

    This is the work that happens every month once transition is complete. Scope, coverage hours, escalation and reporting cadence are agreed per engagement and recorded in your service description.

    • Health monitored against agreed indicators. Platform, application, pipeline and AI workload health watched against the indicators set at design, with alerts acted on under the arrangements in your service description.
    • Incidents coordinated end to end. Vendor escalation, communication to your stakeholders and a written review for anything significant, so the same fault does not recur unexamined.
    • Changes through your process. Patches, minor upgrades and configuration changes applied inside your change process, with rollback tested where the change warrants it.
    • Restore tests on the agreed schedule. Restore and resilience checks run on the cycle you set, with the result recorded including anything the test failed to prove.
    • Cost and commitments reviewed monthly. Spend, licence use and commitment coverage examined each month, with costed optimisation recommendations brought for your approval.
    • Improvement backlog worked down. A visible backlog ranked by business value, with part of every service cycle spent reducing it rather than only responding to alerts.

Questions we get asked

The things people ask before they commit.

Including the awkward ones. If the honest answer is that this is not right for you, that is the answer you will get.

  • What is actually included in a managed cloud service?

    In our engagements it is five things: monitoring and alert response on the workloads that matter, patching and configuration drift control, security posture review on a set cycle, cost review with costed recommendations, and a monthly report plus a service review. What is included and excluded is listed component by component in the service description, because the disputes in this market are almost always about scope rather than quality. If something is not on that list, assume it is out until we agree otherwise.

  • What hours are you available, and what happens outside them?

    Coverage hours, escalation paths, service levels and reporting cadence are agreed per engagement and written into your service description. We deliberately do not publish a blanket availability claim, because a coverage promise is only worth what the roster behind it can sustain, and an unstaffed promise is worse than an honest window. If your workloads genuinely need cover outside business hours we will say what that requires, including where an in-house first line or a vendor support agreement is the better answer than paying us for it.

  • How much do managed cloud services cost in Australia?

    The honest answer is that it depends on estate size, how many workloads need real monitoring and how much remediation the environment needs before it is safe to operate, and anyone quoting a per-server rate before seeing your estate is guessing. Our fees are fixed monthly against a defined scope rather than metered by ticket. What surprises buyers more often than our fee is the platform cost underneath: log ingestion, configuration recording and posture tooling are all consumption lines that grow quietly, and we baseline them during assessment so the total is visible before you commit.

  • Should we just hire a cloud engineer instead of using a managed service?

    For some organisations, yes, and we will tell you when that is you. One good engineer who knows your business beats an outsourced service for anything requiring context, and if your estate is small and stable the economics favour hiring. The problems are single-person coverage, the breadth now expected of one role across cloud, data, security and AI, and what happens the week they resign. The arrangement that usually works best is an internal owner who holds context and decisions, with us covering breadth, out-of-hours arrangements where agreed, and the specialist work that comes up a few times a year.

  • Can you take over a platform another consultancy built?

    Yes, and it is a good part of our work, but not sight unseen. We run a transition assessment first because accepting responsibility for an environment we have not inspected is how a managed service becomes an argument about who broke what. Sometimes the assessment finds work that has to happen before we can operate the platform safely, and that is quoted separately as remediation rather than absorbed silently into a monthly fee. If the platform is in a state where nobody could operate it responsibly, we say so.

  • How do we get out if the service is not working?

    The exit path is documented at the start, not negotiated at the end. Everything we build lives in your tenancy or your repository: runbooks, monitoring configuration, automation, dashboards and queries. Handback is a scheduled activity with a knowledge transfer plan, not a data extraction exercise. We will not hold monitoring configuration in our own tooling to make leaving harder, and the practical test is simple: if we disappeared tomorrow, your team should still be able to see what is happening in the estate.

  • Who is accountable when the outage is Microsoft's or AWS's fault?

    We coordinate it, but we cannot fix a platform-level failure and we will not pretend otherwise. Our role is to detect it, confirm from platform health and telemetry whether it is a provider incident or yours, raise and manage the support case under your agreement, keep your stakeholders informed, and write up what happened afterwards. What genuinely reduces this exposure is architecture, not a support contract: redundancy across zones, tested restores and a written statement of what degraded operation looks like for each workload.

  • How is this different from our current IT support provider?

    Most general IT providers are strong on end-user support and weak on cloud platform engineering, which is a different discipline rather than a more senior version of the same one. We do not do device support, service desk or telephony, and if that is your gap we are the wrong firm. Where we add something is platform operations: policy and drift control, observability design, cost engineering, posture management, and data and AI operations. Plenty of clients keep both, with the boundary written down so nothing sits in the gap between us.

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Free discovery workshop

Start with a managed services discovery workshop.

Bring one challenge in this area. We will map the opportunity, the readiness gaps and a recommended next step.