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.

Deployment Expertise Across Platforms

We specialize in production-grade implementations tailored for multi-cloud, hybrid, and enterprise environments, ensuring:
01
CI/CD-driven rollout processes
02
Secure, compliant infrastructure
03
Observability and reliability at scale
04
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.

Major Data Services:
  • 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.

Major Analytics Services:
  • 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.

Major AI Services:
  • 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

powered by ITIL-compliant workflows

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

Why to Choose Aptus Data Labs?

01
Experts in Cloud-Native CI/CD, MLOps, LLMOps, and AIOps
02
Proven templates and automation scripts for faster time-to-production
03
Security-first deployment with compliance controls
04
Scalable architecture to grow with your business
05
Round-the-clock support for mission-critical environments
Case Studies

Featured Success Stories

To build a scalable, secure, and analytics-ready Big Data platform to support advanced business intelligence, customer analytics, AML, segmentation, and other use cases—while optimizing existing infrastructure and unlocking the full value of enterprise data.
Big Data & Analytics Platform Implementation for Enhanced Business Performance in Banking

100% to 300% Improvement in Query Performance

Migration of 700+ TB Across 12,000+ Tables

USD 15+ Million ROI from Phase 1 Implementation

99.6% SLA Achieved with 24x7 Platform Support

To minimize scrap (initially at 21%) and enhance ADY% (production efficiency initially at 79%) using a consolidated BI & analytics platform with integrated ML models, real-time reporting, and on-demand data availability.
BI & Analytics Platform to Improve ADY% and Reduce Scrap in Telecom Manufacturing

200% Improvement in Model Execution Performance

Enhanced ADY% and Scrap Reduction

Integrated Reporting with Real-Time Dashboards

Always-On Platform Support

To build an ML-driven predictive pricing engine that could accurately forecast monthly supply, demand, and pricing for different food product categories, improve decision-making, and reduce time and cost spent on manual estimations.
ML-Based Price Prediction Engine for Optimizing Supply, Demand, and Pricing

Automated Optimal Price Estimation

Improved Forecasting Efficiency

CI/CD Enabled Retraining Pipeline

Cost and Time Savings Through Automation

To enhance regulatory adherence, document clarity, and operational efficiency by implementing an AI-based web platform for SOP evaluation and rewriting—addressing variability, complex language, and manual review bottlenecks in Biocon’s document processes.
AI-Powered SOP Rewriting Interface for Regulatory Compliance and Document Quality

Streamlined SOP Rewriting and Review Workflow

Improved SOP Quality and Readability

Audit-Ready Change Traceability

Foundation for AI-Enabled Regulatory Compliance at Scale

To automate and digitize the process of updating medicine preparation templates by replacing placeholder text with meaningful chemical and process information—eliminating manual effort, reducing human error, and speeding up processing across large volumes of documents.
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

See More Success Stories

Our integrated offering

Talk to our deployment specialists today for a tailored deployment plan or 24x7 support consultation.

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