Cloud Management & Monitoring

Cloud Monitoring Services That Close the Loop — Not Just Watch the Dashboard

Most cloud environments are already monitored. The problem is that monitoring without an operating loop is just noise — dashboards nobody watches, alerts that fire at 2am to an engineer who clears the notification and goes back to sleep, and weekly reports that land after the damage is done. The infrastructure your business can trust is not the one with the most alerts. It is the one where every signal connects to a response. Facet delivers cloud monitoring as measured Agent Loops: agents watch health, cost and security signals continuously across AWS, Azure, GCP and Cloudflare, and when a signal trips a human handles the call. We run our own delivery this way first — Facet's engineering, content, research and quality review all move through agent loops under human command — so the operating model we install on your environment is the one our own company depends on.

We staff our own loops this way before we staff yours

Facet is not an agency describing agent-run operations from the outside. Our software, our content and the quality review that cleared this page move through loops that watch their own output and escalate to a named person when something looks wrong. That is the same shape as a monitoring engagement, and it means the failure modes are ours before they are yours.

• We learned which alerts are worthless the expensive way. A check that reports healthy while producing nothing. A threshold set once and never tuned until it was pure noise. A degradation that never crossed a line and therefore never fired. All three cost us something on our own operations, which is why calibration is a design phase here rather than a follow-up task.
• After-hours coverage is staffing we already have. Our own loops are watched across 9 timezones because our delivery runs continuously, not because we assembled a night shift to sell. The 3am alert on your environment reaches someone who is already awake and already working — which is the part of this service that is hardest to buy from a firm keeping one office's hours.
• Humans stay in command, and remediation is never automatic. Agents carry the watching; a named Facet engineer decides what is signal, what the response is, and whether anything changes in your environment.

Why hire a cloud monitoring and management partner?

Because the gap between "we have monitoring" and "our infrastructure is trustworthy" is an operating model problem, not a tooling problem.

Most teams already run some form of cloud monitoring — CloudWatch on AWS, Azure Monitor, Cloud Monitoring on GCP, perhaps Datadog, Grafana or PagerDuty layered on top. The tooling is not the missing piece. What is missing is the loop that turns signal into action, consistently, at every hour of the day.

Alert fatigue is the real risk. When tools produce more noise than signal — misconfigured thresholds, poorly scoped alerts, no triage process — engineers stop trusting the alerts, suppression becomes the default, and the incident that matters arrives quietly underneath the noise.

Dashboards nobody watches do not protect you. The incidents that cost the most — cascading availability failures, slow-burn cost overruns, access misconfigurations that become breach vectors — do not announce themselves in business hours. They compound quietly until a threshold is crossed.

And the cost of that is genuinely hard to see coming. Unplanned downtime costs wildly different amounts depending on what the workload does — a marketing site and a payments path are not comparable, and any single figure quoted at you is somebody else's business. We will help you estimate your own during the audit, because that number is the one that should decide how much coverage you buy.

What the loop actually does

The word "loop" is specific. Monitoring produces signals, triage classifies them, response resolves them, documentation closes them, and then it runs again. The agent half of that is the volume half — high frequency, clearly checkable, and almost always finding nothing, which is exactly why nobody was doing it by hand.

• Check availability continuously, across services and regions. Endpoints, APIs and infrastructure components across AWS, Azure, GCP and Cloudflare — not on a generic five-minute poll but on intervals calibrated to your service commitments, so degradation surfaces before it becomes an outage.
• Analyze spend as it accrues, not at invoice time. Cost overruns are rarely one event. They accumulate across underutilised instances, unattached storage, misconfigured auto-scaling and resources that outlived their projects. A daily pass finds waste while it is still recoverable — and you can size your own exposure before engaging anyone, by opening last month's invoice and adding up every resource nobody can name an owner for.
• Check access configuration and policy drift every day. Over-permissioned roles and stale access policies are the most common cloud exposure we encounter. Agents check configurations on AWS, Azure AD and GCP on an ongoing basis, and deviations surface immediately.
• Watch network exposure, encryption and access logs. Open security groups, unencrypted buckets, misconfigured firewall rules, access-pattern anomalies — the quiet risks that become loud incidents.
• Enforce tagging discipline. Every dollar mapped to a team, project or workload, checked continuously, so your cloud bill becomes a management tool rather than a mystery.

What a person still decides

Every flagged item goes to a Facet engineer. Nothing in your environment changes because a loop decided it should.

• Signal against noise. We apply context to every flag and decide the response. A cost spike during a launch week is not the same event as the identical spike in a quiet month, and only a person knows which one you are in.
• Every remediation. Nothing is remediated without human review. You get a record of what was found, what was done and why — and an over-permissioned role gets removed after a conversation about who needs it, not automatically.
• What your service commitments actually are. Which services must never go down, which can degrade gracefully, and what is worth paying to protect. That is a business decision about your customers, and it sets every threshold on the page.
• When to spend rather than save. A cost loop will always find something to cut. Whether cutting it is wise — whether that idle capacity is headroom you deliberately bought — is a judgment an agent does not carry.

After resolution the environment is in a known state, monitoring continues, and the loop closes on itself. Signals that go nowhere are not monitoring. They are paperwork.

What we cover

Uptime and availability. Continuous checks calibrated to your service commitments, with escalation paths defined and automated in advance — the right person paged, the right runbook executed, the incident record created. Nobody has to work out who to call at 3am.

Cost and spend governance. Continuous analysis rather than month-end surprises, rightsizing and idle-resource identification on a rolling cadence, and tagging standards enforced so cost allocation is real.

Security posture and compliance. Access configuration and policy drift detection, network exposure monitoring, encryption checks and access-log anomaly review — continuously, with human review before every remediation.

KPIs we report every month

In the language operations leaders already use, not observability vendor metrics.

• Mean time to detection: how long from an incident starting to our first alert, trended month over month.
• Mean time to resolution: from detection to confirmed resolution, trended. We report the trend rather than a target: this is the number that should fall as runbooks mature and escalation paths tighten, at a rate your stack's complexity sets. If it is not falling, that is the conversation for the monthly review.
• Uptime against target: availability by service tier, not a global average that hides the outliers.
• Cost trend and variance: monthly spend against budget, with variance attributed to specific resources or teams.
• Security posture: open exposures, time to remediation by severity, and drift events caught before they became incidents.

Alerts are calibrated to suppress noise, escalate by severity, and carry the context an engineer needs to act without an investigation delay. Infrastructure incidents stop being surprises: the system flags its own problems, and someone is already working on them when you wake up.

How could AI agents run your cloud operations? Book the cloud and infrastructure audit — one session, fixed scope, on your real environment. You leave with your top availability, cost and security exposure points ranked, an illustrative view of what your current gaps are costing, and a written recommendation — including "your team can cover this with the runbooks we hand over" when that is the honest answer.

The rare project that starts by subtracting cost

Almost everything on your roadmap asks for budget before it returns any. This one runs the other way, and that is worth being deliberate about, because waiting here is not neutral. Idle instances, unattached storage and auto-scaling nobody retuned do not pause while a decision is pending. They invoice, quietly, every month, and the meter has no opinion about your planning cycle.

You can size that yourself before you talk to anyone. Open last month's invoice and count the resources nobody in the room can name an owner for. Whatever that comes to is money already leaving, and it is the honest starting number for how much coverage is worth buying.

What moving first buys you is not a capability your competitors are barred from acquiring. It is that within a quarter you become the operator who can answer what does this cost, and why precisely — in a market where most of your peers genuinely cannot, and where that answer sits underneath every pricing, hiring and expansion decision you make next. It also gets faster every time you need it. Once the tagging discipline is real and the runbooks exist, the second loop goes in against an environment that has already been mapped, and the next question about spend takes an afternoon rather than a week. We built that habit on our own infrastructure before we sold it to anyone, and it is the part that does not arrive with another observability license.

Where cloud monitoring goes next

A ladder, not a bundle. A well-run monitoring engagement that never goes further is a complete outcome.

• AI Managed Services — the run layer in full. A named Facet team keeps not just the infrastructure but the systems running on it earning as your data, goals and models move.
• Agentic Operating System — the same watch-triage-respond-record pattern installed across every operating area, not just the infrastructure.
• Agentic Engineering — the build layer, for when what the monitoring finds needs software built to fix it properly.
• Forward Deployed Engineering — a senior Facet engineer embeds and transfers the method, if you would rather your own team ran the loops.

Our cloud services and cloud migration practices cover the layers either side of this one — ask and we will point you at the right starting rung.

Why Facet

Facet Interactive has been a boutique systems integrator since 2014, and CIOReview named us a Top 10 Digital Transformation Services Company in 2021. Our team of 40 spans 9 timezones and 6 continents, backed by a network of 500+ open-source, cloud and IT specialists. That coverage matters here: cloud environments do not respect business hours, and distributed staffing means someone is always close to the alert.

We work across AWS, Azure, GCP and Cloudflare with no platform partnerships that create an incentive to recommend one over another. You will also not find an industry benchmark anywhere on this page. Your environment — its architecture, its configuration age, its spend level, its current security posture — decides what is actually achievable, and a percentage drawn from somebody else's estate tells you nothing about yours. The audit produces your number instead.

Start with a cloud and infrastructure audit

How could AI agents run your cloud operations? Book the cloud and infrastructure audit — one session, fixed scope. We map your environment, identify your top availability, cost and security exposure points, and tell you plainly what we find. You leave with a prioritized action list and a clear read on where your monitoring has gaps and where your operating model needs work, whether or not you engage Facet afterwards.

Sometimes the honest recommendation is less coverage than you asked for. If the audit finds a small, stable environment your internal team can cover with the runbooks and alerting we hand over, that is what the document will say — and the runbooks are yours either way. We would rather scope you down than sell coverage you do not need.

How pricing works. Fixed fee, scoped and quoted after the audit, with ongoing coverage priced monthly on environment size, the platforms covered and the scope of loop coverage required — uptime only, full cost and security, or the complete operating model. We revisit that quarterly as your environment changes. There is no standard price list, because no two cloud environments are the same.

FAQ

How is this different from just using CloudWatch, Azure Monitor or Datadog?

Those tools produce signals. Facet runs the operating loop that makes the signals actionable — configuring thresholds, building escalation paths, staffing the triage, closing incidents, documenting resolutions and tuning over time. Most clients already have one or more observability tools running when they engage us, and we layer the operating model on top of what you have rather than ripping out tooling that already works.

What happens when something breaks at 3am?

That is explicitly what this service is for. Escalation paths are defined and tested before go-live. When a threshold trips outside business hours the automated path runs — alert, page, runbook execution, incident record — and a Facet engineer is on the incident. You get a record of what happened and what was done, and your morning briefing does not include surprises.

Do you replace our internal IT team?

Not necessarily. Some clients hand off cloud monitoring and management entirely; others want Facet covering specific loops — cost governance, security posture, after-hours availability — while their engineers handle application work. We design the engagement around where your team has bandwidth and where the gaps are. The goal is not to replace your team but to run the coverage your team cannot fully staff on its own.

We are not a technical company. Is this for us?

Yes, and often more so. If you do not have a cloud engineer in-house, the gap between "something is wrong" and "somebody is fixing it" is the whole risk, and it is the gap this service closes. The monthly reporting is written in plain language — what broke, what it cost, what changed, what we recommend next — and the escalation path means you are told about an incident after someone has already started working on it rather than before.