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We give you the confidence and support to use AWS in a way that truly moves your business forward. With clear guidance, proven practices and a focus on what matters to you, we help you build securely, work smarter, and create value that grows along with our partnership.
Migration moves workloads to AWS. Modernization changes how those workloads operate once they’re there. IDT delivers both as a single, coordinated effort.
IDT leads migrations from on-premises and legacy cloud environments to AWS, while modernizing applications through replatforming, managed services adoption, and targeted refactoring. The result is infrastructure and applications that are easier to operate, more resilient, and aligned with AWS best practices - not just relocated.
Migrate with Control.
Modernize with Purpose.
Data Governance
Establish solid data governance practice and balance data security
Data governance includes the processes and policies that ensure data is in the proper condition to support business initiatives and operations. With more data being used to support artificial intelligence (AI) and machine learning (ML) use cases, it has become critical that all data usage meets regulatory and ethical requirements. IDT experts help customers establish solid data governance practice and balance data security with tactical and strategic objectives to ensure maximum effectiveness.
Benefits
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- Improves data quality
- Supports data-driven culture
- Increases operational efficiency
- Supports regulatory compliance
MLOps
Automate and standardize processes across the ML lifecycle
MLOps is an ML culture and practice that unifies ML application development (Dev) with ML system deployment and operations (Ops). We help our customers use MLOps to automate and standardize processes across the ML lifecycle. These processes include model development, testing, integration, release, and infrastructure management.
Our experts estabish the practice for our customers to deploy ML models alongside the applications and services they use and those that consume them as part of a unified release process.
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Benefits
- Faster time to market
- Improved productivity
- Efficient model deploymentScalable
- Platforms designed for your business
Machine Learning
Maximize business outcomes
with machine learning on AWS
Whether you’re looking for ways to improve employee productivity, automate data extraction and analysis, or build forecast demand metrics, our experts will help you at every step of your ML journey.
Our experts help customers innovate with machine learning (ML) at scale with the most comprehensive set of ML services, infrastructure, and deployment resources on AWS.
We use AWS-managed ML services to help our customers leverage the benefits of machine learning quickly and at an optimized cost point.
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Improve customer experiences
- Improve employee productivity
- Automate document data extraction and analysis
- Add contact center intelligence
- Personalize customer recommendations
- Increase the value of media assets
- Forecast demand metrics
Generative AI
Enhance Your Business with Generative AI
Generative AI on AWS brings innovations to businesses and helps generate original content and concepts, revolutionize applications, improve productivity, and transform business operations.
By leveraging the power of AWS, our experts provide scalable and efficient AI solutions that get you to market faster and help successfully transform your business operations.
Improve customer experiences
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- Chatbots and virtual assistants
- Conversational analytics
- Personalization
- Content Moderation
- Identity Verification
- Employee assistant
- Code generation
- Automated report generation
Boost employee productivity
Accelerate process optimization
- Document processing
- Media insights
- Supply chain optimization
What We Do
Common Modernization Solutions
Containers on AWS lead to improved developer efficiency, automated deployments, and reduced operational overhead for your business. We leverage the latest AWS containerization tools, such as Elastic Container Service (ECS) and Elastic Kubernetes Services (EKS), for our customers’ success.
Serverless architectures enable your applications to support massive scale with high performance and reliability. It will help you reduce operational burden, foster elasticity, and enable cost attribution and optimization.
Why It Matters
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HIGHLY-SKILLED DEVELOPMENT TEAM
Experienced language-agnostic team of software engineers that provide high-quality development services
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TIME TO MARKET
Speed up build cycles and deliver reliable products and user experiences faster and cheaper
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SCALABILITY
Build applications that are responsive to changes in demand and automate the release process
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PERFORMANCE
Optimize the performance, availability, and resiliency of your applications while also lowering your TCO
Why Us?
We have a well-established AWS migration process that enables us to efficiently and affordably move your applications and workload to the cloud.
We provide guidance throughout the entire migration project, starting with the initial strategic roadmap and continuing until the final cutover to your new environment.
Our experts have extensive experience in successful migrations to AWS from various environments, including on-premises, hosting facilities, and other cloud providers.
We use the latest tools and technology from AWS, as well as our own AWS-certified professionals, to ensure that your migration is completed seamlessly and without any service disruptions.
Why It Matters
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REVAMP YOUR DATA STORAGE
IDT's experts help build data storage solutions and provide insights from a growing pool of data without compromising on speed and accessibility
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RETURN ON INVESTMENT (ROI)
Enhance your return on investment (ROI) by leveraging algorithms and data analytics to make data-driven decisions for various business initiatives
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OPTIMIZE DATA PIPELINES
Improve your data orchestration, quality assurance, and processes with IDT's expert guidance
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MACHINE LEARNING OPTIMIZATION
Improve the performance and accuracy of your machine learning models with IDT's optimization services
Why Us?
We have a well-established AWS migration process that enables us to efficiently and affordably move your applications and workload to the cloud.
We provide guidance throughout the entire migration project, starting with the initial strategic roadmap and continuing until the final cutover to your new environment.
Our experts have extensive experience in successful migrations to AWS from various environments, including on-premises, hosting facilities, and other cloud providers.
We use the latest tools and technology from AWS, as well as our own AWS-certified professionals, to ensure that your migration is completed seamlessly and without any service disruptions.
"We don’t just deliver projects - we build partnerships. Our focus extends far beyond initial implementations to ensure the cloud strategy of our customers evolves with their business. By aligning our goals with the goals of our customers, we become a trusted ally in the digital transformation, providing continuous innovation, proactive support, and scalable solutions that grow alongside our customers. Together, we don’t just solve today’s challenges - we empower your success for years to come"
Mikhail Ruchkin, CEO
Engineering Pods Scope
Timelines, team composition, deliverables, and pod configurations are confirmed during the scoping phase of each engagement based on environment complexity, scope of work, and organizational readiness.
Our engineering pods cover:
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AWS environment setup, migration, and landing zone delivery
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Application development
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DevOps enablement including CI/CD, infrastructure as code, and observability
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Cloud security posture assessment, remediation, and compliance readiness
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Data platform delivery including data lakes, pipelines, and BI layers
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AWS cost optimization and FinOps
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Site reliability engineering including SLOs, incident response, and operational frameworks
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AI infrastructure deployment including LLM hosting, RAG pipelines, and model serving
Pods are delivered as fixed-scope engagements or monthly retainers with clear SLAs, defined deliverables, and structured handoff plans. This keeps delivery predictable and avoids the overhead of managing individual contractors, coordinating across vendors, or waiting months for internal hires to ramp up.
Our Engineering Pods
Our managed services are built around clear boundaries, shared ownership, and operational accountability. We take responsibility for critical cloud operations, working closely with internal teams to ensure continuous visibility, security, and reliability across AWS environments.
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AWS Cloud Launchpad Pod
Delivers a secure AWS landing zone and migrates the first production workload. Covers VPC architecture, IAM policies, logging, monitoring, and cost baseline. No internal cloud architect required. The team arrives ready to deliver from week one.
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Application Development Pod
Designs and delivers cloud-native applications, APIs, and microservices on AWS. Covers serverless architectures using Lambda, containerized workloads on ECS and Fargate, API Gateway integration, and event-driven design patterns.
- Legacy application modernization including re-architecting monoliths into microservices, migrating to serverless, and adopting cloud-native patterns
- Built for teams that need production-grade application delivery without hiring and ramping a dedicated development team
SRE Reliability Pod
Implements SLOs, incident response playbooks, chaos engineering, and reliability frameworks on AWS. Targets measurable improvement in MTTR and production incident rates.
- Designed as an upgrade path for organizations that have outgrown basic DevOps but lack dedicated reliability engineering
- Transitions naturally into IDT Managed Observability & Incident Management for ongoing day-to-day operations
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Cloud Cost Optimization Pod
Audits AWS spend, identifies waste, and implements cost reduction measures. Covers rightsizing, reserved instances, architecture review, and FinOps framework setup.
- Typically delivers 20–40% AWS cost reduction
- For companies spending $100K+ per month on AWS, this represents 5–10x return on the engagement cost
AI Infrastructure Pod
Deploys private, secure AI across cloud, on-premises, or hybrid environments. IDT builds and optimizes the AI solution while collaborating with existing IT teams to host models on local infrastructure where required.
- Cloud AI: Amazon Bedrock integration, RAG pipeline implementation, model serving, AI observability, and governance guardrails
- On-premises AI: Model development and deployment on physical hardware in collaboration with internal IT teams, for organizations with data sovereignty, latency, or regulatory requirements that preclude cloud-hosted AI
- Hybrid AI: Architectures that span on-premises and cloud environments, giving flexibility over where workloads run based on cost, compliance, and performance needs
- AIOps: AI-driven infrastructure operations including predictive alerting, automated incident remediation, intelligent monitoring, and operational optimization across cloud and hybrid environments
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DevOps Delivery Pod
Embeds DevOps capability directly into the engineering organization. CI/CD pipelines, infrastructure as code, observability, and cost optimization are implemented and operated continuously.
- Available in tiered configurations from foundational CI/CD to full-scope DevOps with on-call support and SRE practices
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Cloud Security & Compliance Pod
Assesses AWS security posture, remediates gaps, and delivers audit-ready compliance controls. Covers SOC 2, HIPAA, and PCI DSS on AWS-native tooling.
- Compliance deadlines do not move. This pod is built to meet them without adding permanent headcount
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Data Platform Pod
Designs and delivers a production-ready data lake, automated pipelines, and BI layer on AWS. Covers S3, Glue, Athena or Redshift, QuickSight, and data governance.
Managed Delivery Team (MDT) Plus
An embedded pod that owns delivery and operations for a defined AWS domain end-to-end. Architecture, platform operations, incident response, and ongoing improvement are covered under a single agreement.
- One contract replaces a multi-month engineering hiring plan
- Eliminates cloud recruiting overhead for that domain entirely