Your Data Platform, Run Like It Matters
24/7 SLA-backed production support for data platforms, pipelines, and applications — dedicated pods that fix causes rather than closing tickets, with FinOps governance built in.
Why Production Support Programs Stall
The platform your engineers built is now the platform they babysit: on-call rotations eating roadmap capacity, incidents recurring because nobody owns root cause, and cloud spend drifting upward with no one accountable. Generic offshore support makes it worse — ticket-closing without platform understanding just converts outages into SLA-compliant outages.
The Apptad Approach to Production Support
We run production as dedicated pods that know your platform — not a shared queue that knows your ticket. SLA-backed 24/7 coverage, root-cause discipline with visible recurrence metrics, proactive monitoring that catches degradation before users do, and FinOps ownership that treats your cloud bill as part of the service.
Dedicated pods, not shared queues
Named engineers who know your estate, with continuity across incidents — context is the product.
Root cause or it recurs
Recurrence rate is a tracked SLA metric — the incentive is fixing causes, not closing tickets fast.
Proactive beats reactive
Observability, anomaly alerts, and capacity trending — our healthcare client ran 18 months post-migration with zero unplanned outages.
FinOps in the contract
Cost governance as a standing service — savings found in year one routinely fund the engagement.
Production Support in Production
Regional Health System Cuts Infrastructure Costs by 42% on AWS
A 12-hospital health system migrated 380+ workloads to AWS GovCloud with a HIPAA-compliant data lake — slashing spend while improving reliability.
Read the case study
Power Generator Lifts Fleet Availability 6 Points with Unified Asset Performance Analytics
A multi-fuel power generator consolidated historian, SCADA, and work-order data into a Databricks lakehouse on AWS — turning reactive maintenance into condition-based asset strategy across 9 GW of capacity.
Read the case studyProduction Support, Answered Straight
How is this different from generic offshore application support?
Continuity and accountability. Dedicated pods carry platform context across incidents; recurrence rate — not just resolution time — is contractually measured; and the same pod does proactive engineering (monitoring, capacity, cost) rather than waiting for tickets. Shared-queue support optimizes ticket metrics; pods optimize platform health.
Can you take over a platform another vendor built?
Yes — it’s about half our engagements. Transition runs as a structured knowledge-capture phase: architecture reconstruction, runbook authoring, monitoring baseline, and a shadow-support period before we take the pager. Expect 6–10 weeks to full ownership depending on estate complexity.
What do SLAs typically cover?
Response and resolution by severity, availability targets for named services, recurrence-rate ceilings, and monthly service reviews with trend reporting. We also contract improvement metrics — cost, incident volume, automation coverage — so the platform gets better, not just supported.
Part of our Managed Services practice.
Apptad's Azure team understood our SAP and OT systems by week three. They delivered the predictive-maintenance models we'd been chasing for two years — and the operations team actually trusts the alerts.
Have a Production Support Question? Ask the People Who Ship It
Our Managed Services practice is led hands-on. Connect on LinkedIn or send a note through the form — a practitioner (not a sales rep) replies within one business day.
