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

Data Engineering

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

Cloud Computing

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

Analytics Modernization & Migration

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

Analytics & Artificial Intelligence

Supply Chain Scheduling & Route Optimization for an Oil & Gas company

Accurately forecasted voyage schedules

Minimized total logistics cost

Fully automated scheduling system

Improved cost visibility and planning accuracy

Analytics & Artificial Intelligence

Enabled a leading mortgage financing company to predict credit risk accurately and automate their process

85–90% model accuracy

Complete automation of the credit risk process

Improved risk visibility and strategy formulation

Consistent model performance

See More Success Stories

Modernizing the Data Platform

A robust data platform is the backbone of any AI-powered enterprise.
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Our Key Capabilities:

Legacy Database or Data Warehouse or Cloud Database to Cloud Lakehouse Migration
Migrate from on-premise systems like Oracle, Teradata, Netezza, SQL Server to Cloud Platforms like Snowflake, Databricks, or BigQuery.
Real-time Streaming & Event-Driven Architecture
Introduce Kafka, Kinesis, and Apache Flink pipelines for high-velocity, real-time data processing.
Modern Data Stack Implementation
Leverage tools like dbt, Airbyte, Fivetran, and Delta Lake for modular, scalable data engineering.
Data Mesh & Domain Ownership Models
Shift to decentralized, business-domain-led data ownership for agility and alignment.
DataOps & Observability
Establish end-to-end automation, lineage, monitoring, and CI/CD across data pipelines.

Modernizing the Analytics Platform

We empower business users, analysts, and data scientists with the latest self-service, real-time, and embedded analytics capabilities.
Key Capabilities:

BI Tools Modernization
Migrate from legacy dashboards (e.g., Cognos, BO, SSRS) to Power BI, Tableau, or Looker.
Embedded & Conversational Analytics
Enable AI chatbots to fetch data and insights via natural language queries.
Data Virtualization & Smart Caching
Platforms such as Presto, Dremio, or Starburst are used to reduce data movement and optimize performance.
ML-Integrated Insights
Machine Learning tech is infused into dashboards for predictive, anomaly detection, and simulation use cases.
Analytics Governance & Metrics Layer
Reusable semantic layers are implemented for consistent KPIs across tools and teams.

Modernizing the AI Platform

A modern AI platform enables scalable experimentation, deployment, and monitoring of both predictive models and generative agents.
Key Capabilities:

Cloud-Native AI Workbenches
SageMaker, Vertex AI, Azure ML are leveraged for scalable training and model management.
MLOps & LLMOps Pipelines
We undertake automated model training, validation, drift monitoring with feedback loops.
Model Registry & Feature Stores
Version control, reuse, and deployment of ML components are centralised.
Responsible AI Governance
Enable fairness, explainability, security, and regulatory compliance across AI workflows.
AutoML & AI Copilots
Democratize AI with low-code/no-code interfaces and prompt-based modeling assistants.

aptAIHub – The AI Hub for GenAI & Agentic Use Cases & Workloads

aptAIHub is our enterprise AI playground to ideate, build, test, and deploy Generative + Agentic AI use cases on defined AI infrastructure and AI governance

Key Features:

Multi-LLM Orchestration

Integrate OpenAI, Anthropic, Mistral, LLaMA, and custom-tuned models in a unified workspace.

RAG, PromptOps & LangChain Integration

Build production-ready GenAI apps using modular building blocks.

Agent Studio

Design AI agents with memory, tools, and goal-based workflows—deployed as APIs, bots, or UI widgets.

Security-First GenAI

Enable PII redaction, audit logs, and trust scoring to safely deploy GenAI in enterprise environments.

Real-time Monitoring & Analytics

Observe prompts, outputs, hallucination rates, and agent performance via interactive dashboards.

Production Deployment
& Support Enablement

Deployment Expertise Across Platforms

Data Platform Deployment & Support

Analytics Platform Deployment & Support

AI Platform Deployment & Support