Sii designs, implements, and manages on-premises, cloud, and endpoint environments. Its IT infrastructure services combine engineering expertise, automation, and AI (artificial intelligence) to strengthen security, improve availability, and reduce operational effort.
Sii maintains, modernizes, and optimizes on-premises server, network, and virtualization environments.
Sii designs, migrates, and manages environments on Microsoft Azure, Amazon Web Services, Google Cloud, and OVHcloud.
Sii designs, implements, and maintains centralized management for computers and mobile devices.
Sii combines IT infrastructure monitoring services with AIOps (artificial intelligence for IT operations) to support incident analysis.
Sii develops DevOps (development and operations) practices, CI/CD (continuous integration and continuous delivery), infrastructure as code (IaC), and cloud-native solutions.
AI in IT infrastructure for greater availability & security
Sii reviews architecture, dependencies, and business needs, with AI helping group data and identify risks. The client receives an infrastructure assessment and recommendations.
Sii defines architecture, security, and the operating model, using AI to compare options and identify automation opportunities. The client receives a solution design and implementation plan.
Sii configures tools, monitoring, access, and security controls, with AI helping detect configuration inconsistencies. The client receives an environment ready for deployment and testing.
Sii deploys, migrates, or modernizes infrastructure, using AI-assisted event analysis to help manage change risk. The client receives an operational environment aligned with the agreed design.
Sii monitors the environment, manages incidents, and analyzes performance, security, and costs. AI helps detect issues and identify improvements. The client receives stable infrastructure, operational reports, and recommendations for further development.
Sii reviews architecture, dependencies, and business needs, with AI helping group data and identify risks. The client receives an infrastructure assessment and recommendations.
Sii defines architecture, security, and the operating model, using AI to compare options and identify automation opportunities. The client receives a solution design and implementation plan.
Sii configures tools, monitoring, access, and security controls, with AI helping detect configuration inconsistencies. The client receives an environment ready for deployment and testing.
Sii deploys, migrates, or modernizes infrastructure, using AI-assisted event analysis to help manage change risk. The client receives an operational environment aligned with the agreed design.
Sii monitors the environment, manages incidents, and analyzes performance, security, and costs. AI helps detect issues and identify improvements. The client receives stable infrastructure, operational reports, and recommendations for further development.
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Sii’s team of 300+ IT infrastructure specialists includes System Administrators, Cloud and DevOps Engineers, Consultants, Infrastructure Architects, and Security Specialists. They deliver projects and managed services in Poland and internationally. From architecture and migration to 24/7 maintenance, clients gain access to the skills needed to develop and operate their environments.
Contact a Sii IT infrastructure expert to discuss architecture, migration, ongoing support, and practical uses of AI in IT operations.
Frequently asked questions about IT Infrastructure
IT infrastructure management covers the monitoring, administration, maintenance, and improvement of the environments that support business systems. Sii’s scope includes on-premises servers and networks, cloud platforms, virtualization, and end-user devices. Depending on the agreed service, support can also cover incident management, security controls, configuration changes, automation, and resource optimization.
IT infrastructure pricing depends on system volume and criticality, responsibilities, coverage hours, technology, location, and service-level agreements (SLAs). Sii prepares a quote after assessing the environment and required skills. The delivery model can combine a dedicated team, managed IT infrastructure services, and project work to match the agreed scope.
Sii takes operational responsibility once the agreed readiness criteria are met. The transition starts with a review of scope, documentation, monitoring, access, incidents, service commitments, and supplier dependencies. Knowledge transfer, tool configuration, and readiness testing follow. This gives both parties a defined basis for the handover instead of relying only on a calendar date.
The choice depends on applications, data, regulatory requirements, and existing infrastructure investments. Sii assesses the current architecture and business needs before recommending a target environment. That recommendation can retain on-premises systems, use cloud platforms, or combine both in a hybrid model. The design also addresses security, service criticality, resource use, and the operating model.
Sii supports both hybrid and multicloud IT infrastructure. Hybrid environments connect on-premises systems with platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud. The agreed service can include architecture, migration, monitoring, automation, security, and optimization, with scope based on the client’s applications, data, regulatory requirements, and existing investments.
Sii can provide ongoing IT infrastructure support after deployment or migration, including 24/7 monitoring, incident management, and maintenance. The scope can also cover stabilization, administration, change management, optimization, and further development. The operating model and service-level agreements define responsibilities and coverage hours, allowing the project team to transfer the environment into ongoing support with a clear scope.
AIOps means artificial intelligence for IT operations: using AI to analyze operational data and help teams investigate infrastructure issues. Sii applies AI to anomaly detection, alert correlation, event summaries, and analysis of likely incident causes. In automation work, AI also supports script preparation, with mandatory engineer review. These applications help reduce analysis time and repetitive work.
Sii begins by assessing the existing environment and the client’s business and technical requirements. This informs architecture recommendations, the service model, and an implementation or transformation plan. The assessment considers systems, dependencies, risks, and modernization needs, giving the client a defined starting point for deciding what to change and how to proceed.
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