Production Deployment

Production Deployment
& Support Enablement

“From Pilot to Production – Seamless, Scalable, and Secure.”

‍At Aptus Data Labs, we ensure your Data, Analytics, and AI solutions don’t just stop at proof-of-concept—they go live, scale confidently, and perform reliably in real-world conditions.

Our Production Deployment & Support Enablement offering is designed to help enterprises deploy, monitor, and manage AI-powered digital ecosystems using industry-best DevOps, MLOps, and AIOps practices.

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Deployment Expertise Across Platforms

We specialize in production-grade implementations tailored for multi-cloud, hybrid, and enterprise environments, ensuring:

CI/CD-driven rollout processes

Secure, compliant infrastructure

Observability and reliability at scale

Automation-first support

Data Platform Deployment & Support

Modern data platforms must be fast, resilient, and secure. We help organizations operationalize data pipelines and storage architectures with best-in-class practices.
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Major Data Services:
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CI/CD Pipelines for Data Engineering
Automate deployment of ETL/ELT jobs, schema changes, and config updates using GitOps and IaC.
Data Lake & Warehouse Ops
Setup, monitor, and optimize platforms like Snowflake, BigQuery, Databricks, and S3-based lakes.
Data Pipeline Monitoring & Alerts
Implement observability using tools like Airflow, Great Expectations, Monte Carlo, and Grafana.
Data Quality & SLAs
Embed automated data validations, lineage tracking, and SLA enforcement.
Disaster Recovery & Backup Planning
Enable zero-data-loss strategies across regions and platforms.

Analytics Platform Deployment & Support

Ensure that business intelligence and reporting tools operate at peak performance—secure, self-service, and always available.
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Major Analytics Services:
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BI & Visualization Tools Deployment
Deploy, configure, and scale Power BI, Tableau, Looker, or Superset dashboards across business units.
Multi-Tenant Analytics Environments
Design secure environments for teams with role-based access and embedded analytics.
Scheduled & Triggered Report Automation
Enable timely report generation and delivery using event-based automation.
Metadata & Metrics Layer Management
Deploy centralized semantic layers and reusable KPI definitions.
Audit Logging & Usage Analytics
Monitor user activity, dashboard usage, and optimize performance with analytics telemetry.

AI Platform Deployment & Support

AI in production requires more than models, it needs infrastructure, automation, and governance. We bring MLOps + LLMOps + AIOps to help you scale and sustain AI initiatives.
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Major AI Services:
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Model Deployment Pipelines (MLOps)
Automate model versioning, deployment, and rollback across SageMaker, Azure ML, Vertex AI, and on-prem. The image (Picture 1) shows our robust MLOps process framework.
Containerized Model Serving
Package models using Docker, Kubernetes, or serverless frameworks for elastic scaling.
LLMOps for GenAI & Agents
Deploy GenAI agents using LangChain, RAG pipelines, and vector DBs, with guardrails and monitoring.
Model Monitoring & Drift Detection
Track model accuracy, input distributions, concept drift, and hallucination rates in GenAI.
Model Governance & Compliance
Log all model interactions and predictions for auditability and explainability.

24x7 Managed Support Services

Your business never sleeps — neither do we.

Support Offerings:

24x7 Support Center

with dedicated SLAs for critical services

Tiered Support Model

L1 (Monitoring), L2 (Issue Resolution), L3 (Engineering Escalations)

Incident Management

Proactive Monitoring & Alerts

using Prometheus, Grafana, and custom observability layers

Support for Multi-Cloud & Hybrid Environments

AWS, Azure, GCP, Databricks, Snowflake, etc.

Monthly Health Checks & Optimization Reports

Case Studies

Featured Success Stories

Performance Analysis & Tool Selection: MapR DB vs. Mongo DB for Secure Data Mart Design

200% Improvement in Query Performance

Optimized Data Ingestion and ETL Design

Improved SLA for Bulk Requests

Efficient Tool Selection and Architecture Design

Automated Placeholder Document Creation for Digitization of Pharma Templates

95% Reduction in Manual Effort

90–95% Accuracy in Placeholder Text Replacement

Drastic Time Reduction

Significant Cost Savings

A Banking Big Data & Analytics Platform with 24x7 Support

100–300% improvement in query performance

USD 15M+ ROI in Phase 1 of implementation

10+ AI/ML use cases delivered across key functions

99.6% SLA achieved with 24x7 infrastructure support

Enterprise Data Lake and Analytics implementation for a large Pharmaceutical Company in India on AWS platform

30–40% Reduction in IT Costs

Accelerated Analytics with 3X Faster Reporting

AI/ML-Ready Infrastructure

Manual Work Reduction

Data, Process , Batch jobs and Work flow migration to Hadoop Platform

40% Reduction in IT Infrastructure Costs

60% Improvement in Data Processing Speeds

4X Scalability Boost

70% Reduction in Downtime

See More Success Stories

Production Deployment
& Support Enablement

Deployment Expertise Across Platforms

Data Platform Deployment & Support

Analytics Platform Deployment & Support

AI Platform Deployment & Support