Ops Pillar · Managed Ops

Run the managed application estate.

Managed Ops (MSOps) turns application management into one governed control surface. Every managed service, its dependencies, the business processes it carries and the SLAs it owes are understood together, so an incident is measured by real business impact and handed to Sentinel AI to resolve.

Request a Demo All Ops Pillars

Incident command
Blast-radius impact
Service topology
SLA & error budgets
Governed process mapping

Incident commandLive estate

ActiveImpact-rankedTriage

VerifyingSherlockIn check

Blast sourceMappedWatch

Verified closed24hStable

Business-impact ranking

Payments interface degraded

Blast model projects impact across dependent services and a revenue-bearing process.

Batch job late

A scheduled job is running behind window; downstream reconciliation at risk.

External provider recovered

A degraded third-party dependency returned to healthy; blast source cleared.

What is Managed Ops

One control surface for the whole managed estate.

Application management usually runs on tickets, tribal knowledge and spreadsheets, disconnected from what each service actually carries for the business. Managed Ops models the estate as it really is: every service, its dependencies, the business processes riding on it and the SLAs it owes. So when something breaks, MSOps already knows the blast radius, ranks the incident by real impact, and hands Sentinel AI a clean picture to investigate and resolve.

Incident command

Every incident, ranked by what it costs the business.

MSOps runs a single incident board across the managed estate, with a blast overlay on every active incident. Impact is projected from the same model that powers the What-If Simulator, so triage is ordered by business consequence, not alert timestamp. Only Sherlock-verified closures leave the board, so "resolved" means proven, not assumed.

Active, verifying and closed states in one view
Blast overlay ranks incidents by business impact
Sherlock-verified closure before an incident clears

Live incidentsImpact-ranked

Service topology

The whole estate, without the hairball.

MSOps never draws the full graph at once. Semantic zoom moves from estate, to service group, to a service's two-hop neighborhood, and search jumps straight to any service. For a full-estate read, a 3D mesh clusters services by group, sizes them by traffic and colours them by risk, with incident services pulsing so the pressure points are obvious.

Semantic zoom: estate, group, service neighborhood
3D estate mesh, clustered by group and sized by traffic
Search any service to open its 2-hop ego view

Service topologySemantic zoom

HealthyWarningCriticalExternal

weborderspaymentsauthbank-apiledger

What-If simulator

See the ripple before you touch anything.

Fail anything, a service, an external dependency, a node, a namespace or a whole cluster, and MSOps shows the ripple across services, business processes and revenue. The model is replica-aware: losing one of three replicas degrades a service, losing the only replica takes it down. So a node drain or a maintenance window is planned with its true business impact in view, not discovered after the change.

Simulate service, dependency, node, namespace or cluster loss
Ripple across services, processes and revenue
Replica-aware degradation, not just up or down

What-If simulatorBlast radius

Simulated failureDrop payments-gatewayOnly replica

Services hitSeveralDown

ProcessesCheckoutAt risk

RevenueBearingElevated

Application & process impact

What each application looks like right now.

MSOps derives current application state from live incident blast, KPI pressure and external degradation together, so you see impact without waiting for an incident to be declared. Business processes come from the Process Ops pillar plus discovered flows, mapped to the services they ride on, with impacted processes ranked first. Click a module, drill into its processes, then the services underneath.

Live application state from blast, KPIs and externals
Business processes mapped to the services they ride on
External dependencies treated as first-class blast sources

Application impactCurrent state

CheckoutPressuredDegraded

OnboardingNominalHealthy

ReconciliationBatch lateWatch

StatementsExternal depBlast

SLA & error-budget command

The commercial layer of managed operations.

MSOps tracks the contract side of every managed service: SLO attainment month-to-date, error-budget burn, breach forecast and service credits at risk, per contract and per service. It counts verified MTTR only, so Sherlock-closed incidents count and unverified fixes do not. The number you report to a customer is the number you can stand behind.

SLO attainment and error-budget burn per contract
Breach forecast and service credits at risk
Verified MTTR only, Sherlock-closed incidents count

SLA commandMonth to date

SLO attainmentOn trackHealthy

Error budgetBurningWatch

Breach forecastLowStable

Credits at riskContainedNone due

Governed mapping & scoring

Nothing enters the model until a human confirms it.

MSOps mines the call graph and Process Ops definitions to suggest service-to-process mappings with evidence, but nothing enters the blast model until an operator confirms it. The blast-radius score is an explainable weighted composite, not a black box: tune the factor weights and the ranking preview updates live, so you see exactly what a change does. Onboarding a process declares who owns it, which services it rides on, its fallbacks and the KPIs that define healthy.

Evidence-backed mapping suggestions, operator-confirmed
Explainable weighted blast score, no black box
Process onboarding: owners, services, fallbacks, KPIs

Blast score modelExplainable

Revenue exposureHigh

Process criticalityHigh

Dependents hitMed

Replica headroomMed

External fragilityLow

Operator confirmation required before any edge joins the model

07Real-world use cases

Built for the estate you already manage

These are not demo scenarios. Each one is a situation Managed Ops teams meet in real operations, and each ends the same way: an investigation that starts at the evidence and finishes with a decision someone can defend.

A customer asks what an outage cost

The blast overlay ranks the incident by real business impact.

Answered in numbers

A cluster needs maintenance

What-If simulation shows replica-aware degradation before you touch it.

Ripple seen first

An error budget is burning

SLO attainment and burn tracked per contract, with breach forecast.

Credits at risk visible

A new process is onboarded

Owners, services, fallbacks and KPIs confirmed by an operator, with evidence.

Nothing enters unverified

08Business perspective

What it is worth beyond the provider contract

Managed Ops is an engineering capability with a business ledger. The entries that matter are impact-ranked response, protected sla credits, safer change windows and trustworthy mttr, and it moves all of them.

Impact-ranked response

Effort goes to the incident that costs the most.

Protected SLA credits

Error-budget burn and breach forecast tracked per contract.

Safer change windows

The ripple is simulated before anything is touched.

Trustworthy MTTR

Only verified closures count toward the number.

09The numbers

The cost of repeat work, summed honestly

Worked example for a managed service book. Every figure shows the sum it came from; during a pilot we substitute your own inputs.

Hours serving tickets

17,280 hrs

2,400/mo × 1 hrs × 12

Cost to serve

$950k

17,280 hrs × $55/hr fully loaded

SLA credits paid

$504k

7/qtr × $18k average credit × 4

Released if repeat work automates

$333k

Modelled at 35% reduction, not a measured result

MSOps measures impact. Sentinel resolves it.

Managed Ops does more than show you what is happening. The blast model, topology, SLA state and process map all feed Sentinel AI, the intelligence component at the core of Opstral. Sentinel runs the OIAO loop over the managed estate and resolves issues through governed, reversible Action Tickets, ordered by the business impact MSOps already computed.

Sherlock closes the root-cause loop and ProcBot executes the fix, every step explained with citations and fully audited.

Observe
MSOps ranks incidents by blast radius across services, processes and SLAs.
Investigate
Sentinel AI finds root cause across the estate graph and picks the right procedure.
Act
ProcBot executes the approved MOP through a reversible, audited Action Ticket.
Optimize
Sherlock verifies the fix, and only then does the incident and its MTTR count.

See Managed Ops on your estate.

Book a walkthrough and see incident command, blast-radius impact, SLA governance and autonomous resolution on a managed estate that looks like yours.

Request a Demo Meet Sentinel AI