Managed Service 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.
Application management usually runs on tickets, tribal knowledge and spreadsheets, disconnected from what each service actually carries for the business. Managed Service 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.
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.
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.
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.
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 ProcessOps 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.
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.
MSOps mines the call graph and ProcessOps 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.
Managed Service 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 Ops Singularity. 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.
Book a walkthrough and see incident command, blast-radius impact, SLA governance and autonomous resolution on a managed estate that looks like yours.