We run your applications, your team gets back to building.
We take day-to-day ownership of the platforms your business runs on — monitoring, support, releases, patching, and optimization — delivered by a named pod under agreed SLAs.
Not a ticket queue you chase. A partner accountable for keeping the application up, current, and improving.
Because the build is the cheap part. Gartner’s long-standing finding is that the annual cost to own and manage an application can run up to four times the initial purchase price — the monitoring, the patching, the incident response, the slow drift into technical debt.
That cost lands on the same engineers you hired to build new things, and it quietly eats the roadmap. McKinsey reports large organizations can spend up to ~70% of their IT capacity keeping existing systems running rather than creating anything new.
The usual alternatives both fail. An internal team running the app is pulled off the work that grows the business; a reactive support desk gives you a ticket queue and nobody who owns whether the platform is healthy. Managed application services close that gap — one accountable team takes the running of the application off your plate entirely.
“Managed” is a vague word until you name the work. These are the specific responsibilities we take ownership of. For each: what it does, the benefit it produces, and how that plays out.
Round-the-clock monitoring and a clear escalation path, so a 2 a.m. failure is handled by an on-call engineer, not discovered by a customer at 9 a.m. Benefit — incidents are caught and resolved before they become outages, and downtime cost is contained.
Example: a payment service starts erroring at midnight; alerting pages the on-call engineer, who rolls back the bad change inside the SLA window — so the morning starts with a resolved incident report instead of a revenue hole and a war room.
We run the platform end to end — features, fixes, dependency upgrades, security patches, and the roadmap — as one continuous service rather than disconnected projects. Benefit — the application stays current and healthy instead of decaying between one-off engagements.
Example: a critical framework hits end-of-life; the upgrade is already scheduled and shipped in a normal release window, so it never becomes the emergency migration that consumes a quarter.
We operate the application on whichever cloud it lives on — provisioning, scaling, reliability, and cost tuning included. Benefit — capacity matches demand and cloud spend stops drifting.
Example: an over-provisioned cluster is right-sized and idle resources are reclaimed, so the monthly cloud bill drops without anyone touching the customer experience.
CI/CD pipelines, infrastructure-as-code, and observability, run for you rather than handed over as a half-finished setup. Benefit — releases get faster and safer at the same time, and deployment stops being a risk event.
Example: a release that used to be a manual, all-hands evening becomes a routine pipeline push reviewed against tests — so the team ships more often and sleeps through it.
Continuous monitoring, patching, and tuning against agreed response and resolution targets — the work that prevents incidents, not just the work that reacts to them. Benefit — fewer incidents, predictable reliability, and a number you can hold us to.
Example: a slow memory leak is spotted on a dashboard and fixed during business hours, so it never reaches the production crash it was heading toward.
A partner accountable for the platform — one lead who answers for its health — instead of an anonymous queue or a rotating cast of contractors. Benefit — clear ownership, faster decisions, and someone whose job is your application’s uptime.
Example: when a cross-system issue spans the database, the app, and the cloud, one accountable lead coordinates the fix rather than three vendors pointing at each other.
Managed application services here mean a defined team and a defined set of obligations — not a vague retainer. Each engagement includes:
Engineering, QA, and a delivery lead assigned to your platform — the same people week to week, who learn your system instead of re-reading the ticket each time.
Agreed response and resolution targets [PLACEHOLDER: specific SLA tier figures], with on-call coverage and a clear escalation path, so “supported” means a commitment, not a hope.
24/7 monitoring and alerting, plus the patching, dependency upgrades, and tuning that prevent incidents — done on a schedule, before something breaks.
A living roadmap for the platform: not just keeping it alive, but proposing and shipping the next set of improvements against measured ROI.
Dashboards for uptime, incidents, and cost, plus a recurring service review — so you can see what the pod is doing and what it’s changed, rather than trust a status email.
You own the code, the infrastructure config, and the runbooks throughout — no black box, no proprietary layer you can’t leave. Distinct from one-off application maintenance and support, where we fix what breaks: here we own the running of the platform and answer for its health.
What you get when you hire us — all yours, no lock-in
The same accountable delivery model behind all our AI-optimized engineering work, run as a continuous service instead of a fixed project — one lead, clear SLAs, no handoffs.
We map the platforms you run, the risks, and the success metrics — uptime, incident rate, release cadence, cost.
Output: a defined scope, the SLAs & an ROI-tied commercial
We take ownership: access, monitoring, runbooks, and the lifecycle backlog, with overlap so nothing drops.
Output: an instrumented platform, steady-state in 4–8 weeks
24/7 monitoring, proactive maintenance, and SLA-backed support run continuously, with releases shipped through the AI-augmented Aegis process that keeps cadence high and defects low.
Output: a platform held healthy, not just reacted to
Uptime, incidents, and cost reported in recurring service reviews; the next improvements proposed and shipped against measured ROI.
Output: a platform that gets more reliable over time
Commercials are tied to outcomes, not hours — keep us on the retainer or take the keys at any time, with full code ownership throughout.
Managed application services is a promise to keep an application healthy for years — so the proof that matters is sustained ownership, not a one-time launch. Two engagements on the record:
Both are run by founder Kelvin Tran — a Stanford-rooted Responsible AI lab, founded in 2011, with one accountable lead answerable for every engagement and 20+ years of production engineering behind it. The same person who scopes your service answers for its uptime.
A pod that owns the platform, not a ticket queue. You get a named team accountable for whether the application is healthy — the difference between “someone will look at it” and “this is ours to keep up.”
AI-optimized delivery, human-led. Our patent-pending Aegis AI process drives the monitoring, release, and defect-prevention discipline; responsible human leadership owns every decision and escalation. AI catches the signal; a person owns the call.
ROI-tied commercials, full ownership. Pricing is aligned to the outcomes we deliver, not billed by the hour, and you keep the code, config, and runbooks throughout — no lock-in, no black box.
Built to hand back. Whether you keep us on the retainer indefinitely or bring it in-house later, managed application services here are structured so your team can take the keys — runbooks, dashboards, and a trained team included.
Platforms where downtime is measured in lost transactions and every change needs an audit trail; SLA-backed reliability and controlled releases are the product. Fintech software →
Clinical and patient-facing systems run inside HIPAA-compliant architectures, where uptime and compliance can’t slip. Healthcare software →
Chains and distributed operations whose software is business-critical but whose core business isn’t software, so an accountable pod running the platform frees the organization to do what it actually does (the BJ’s pattern above).
What teams want to know before they hand the running of a platform to an outside pod.
Managed application services are the ongoing operation of your applications by an external team that takes day-to-day ownership — monitoring, support, releases, patching, and optimization — under agreed SLAs, usually on a retainer. Instead of running the platform yourself or paying a desk to react to tickets, one accountable pod keeps it up, current, and improving, and reports against measured targets. You keep the code; we keep it healthy.
Maintenance and support is largely reactive — you report an issue, it gets fixed. Managed services is ownership: we take responsibility for whether the application is healthy at all, which includes the proactive monitoring, patching, releases, and roadmap that prevent issues, backed by SLAs. Maintenance fixes what breaks; managed services own the running of the platform so less breaks.
On a retainer tied to the outcomes we deliver, not billed by the hour. We scope the platforms and SLAs first, then present an ROI-backed commercial so the cost maps to the reliability and improvement you get. Build or modernization work has its own ranges — our AI development cost guide sets honest expectations — but the managed engagement itself is a predictable monthly commitment, not a meter.
Yes. Cloud application management across AWS, Azure, or GCP — provisioning, scaling, reliability, and cost tuning — and DevOps run as a service: CI/CD pipelines, infrastructure-as-code, and observability operated for you. The point is that the whole stack the application depends on is owned by one accountable team, not split across vendors who don’t talk to each other.
We scope and baseline first (platforms, risks, SLAs, metrics), then transition ownership — access, monitoring, runbooks, and backlog — with overlap so nothing drops. Most engagements reach steady-state in 4–8 weeks. You see the success metrics we’ll be judged on before we start, and full work-for-hire IP assignment is signed at kickoff.
Continuous monitoring and alerting across the stack, with on-call coverage and a defined escalation path, run against agreed response and resolution SLAs. The emphasis is proactive — catching the leak, the saturation, or the failing dependency on a dashboard before it becomes an outage — which matters because ITIC’s 2024 survey found a single hour of downtime costs over $300,000 for more than 90% of mid-size and large enterprises (ITIC, 2024).
Patching and dependency upgrades are part of the standing maintenance, not an afterthought; access runs under your controls; and for regulated workloads we operate inside the compliance architecture the domain requires — HIPAA for healthcare, audit-trailed change control for fintech. Every engagement starts with an NDA and a security review, and because you keep the code and config, your team can verify rather than trust.
Yes — right-sizing, reclaiming idle capacity, and tuning queries and spend are part of running the platform, not a separate project. As ownership cost can reach up to 4× an application’s purchase price over its life (Gartner), holding that cost down is a core part of what a managed service is for.
When the application is business-critical but running it is pulling your team off the work that grows the business — the position McKinsey describes, where up to ~70% of IT capacity goes to keeping existing systems alive (McKinsey). If you need guaranteed reliability and continuous improvement without standing up and retaining an ops team, a managed pod is usually faster, more accountable, and easier to exit than hiring for it. Not sure which fits? Start with an AI readiness assessment.
Thirty minutes · No pitch deck
Tell us about the applications you’re running — we’ll scope the engagement, name the SLAs, and give you a costed, ROI-tied path to a hands-free managed service that keeps you in full ownership.