Services catalogue
From software engineering and cloud architecture to cybersecurity, automation, and long-term support — LITMED-IMPORT LLC offers a structured set of services for organizations that depend on reliable technology.
We build line-of-business applications, internal platforms, and customer-facing products designed around domain boundaries that match the way the business actually operates. Engagements typically include discovery, architecture, iterative delivery, automated testing, and operational handover. Codebases are documented for long-term contribution and engineered for predictable change.
Modern web applications built with current frameworks, accessible interfaces, and production-grade performance. We pay close attention to the parts that age fastest: state management, API design, authentication flows, and the rendering strategy. Applications are delivered with continuous integration, automated tests, and observability already wired in.
Reference and reference-derived architectures across AWS, Azure, and Google Cloud, designed around the workload rather than around a vendor catalogue. Environments are described as code, networking is intentional, and identity is the primary control surface. Cost, performance, and operational ownership are decided up front, not discovered later.
Security assessments, threat modeling, control design, and program maturity work aligned with recognized frameworks. We help organizations move from ad-hoc security activity to a defensible program with documented controls, measurable outcomes, and a realistic improvement roadmap.
End-to-end infrastructure planning covering networking, compute, storage, identity, observability, backup, and disaster recovery. The objective is an infrastructure design that is both fit for current workloads and capable of absorbing the next three years of demand without rework.
We automate the operational processes that quietly consume the most time: reconciliation, reporting, document handling, provisioning, onboarding, and inter-system synchronization. Each workflow is versioned, observable, and auditable, with clear ownership of exceptions and failures.
Pragmatic, incremental modernization of the technology estate. Programs are sequenced around real business risk and measurable value, retiring legacy systems progressively rather than through high-risk replatforming events. Each step leaves the organization in a more capable state than the one before.
Designing and implementing the integration layer that connects internal systems, partner platforms, and third-party services. We work with REST, GraphQL, message-driven patterns, and event streaming, with consistent attention to contract design, versioning, observability, and failure handling.
Data platforms, pipelines, and warehouses designed around correctness, lineage, and governance. We work across operational databases, analytical stores, and streaming systems, building the data foundations that downstream analytics and AI initiatives quietly depend on.
Long-term support arrangements for the systems we deliver and inherit. Engagements include monitoring, incident response, change management, periodic architecture review, and ongoing security maintenance, governed by clearly defined service levels.
Test strategy, automated functional testing, non-functional testing, and release governance. Quality is treated as a measurable property of the system, with acceptance criteria agreed before work begins and verified against reproducible methodology.
Modernization of legacy applications and infrastructure through careful refactoring, strangler patterns, and incremental replacement. The goal is a system that the engineering team can continue to evolve safely, without losing the operational knowledge already embedded in it.
Engagement model
Whether the engagement is a single discrete piece of work or a multi-year program, the operating model is consistent. Scope is agreed, decisions are documented, work is reviewed, and operational ownership is transferred deliberately.