OUR OFFER
On-premises infrastructure management for reliable services
Sii maintains, modernizes, and optimizes on-premises server, network, and virtualization environments.
- Fewer unplanned outages through proactive infrastructure monitoring and incident management
- Better system performance through resource utilization analysis and targeted infrastructure improvements
- More efficient resource use with VMware and Microsoft Hyper-V virtualization
- Faster problem identification through AI-assisted alert correlation and event analysis
- Clearer modernization priorities through audits of IT infrastructure architecture, configurations, and tools
Cloud platforms for scalable IT environments
Sii designs, migrates, and manages environments on Microsoft Azure, Amazon Web Services, Google Cloud, and OVHcloud.
- Lower cloud migration risk through readiness assessments, transition planning, and controlled stabilization
- Greater infrastructure scalability through cloud, hybrid cloud, and multicloud architectures
- Reduced availability risk with backup and disaster recovery matched to the criticality of business services
- Better control of cloud costs through resource utilization analysis and optimization recommendations
- Earlier detection of cloud issues through monitoring and AI-assisted anomaly analysis
Endpoint management for simpler device administration
Sii designs, implements, and maintains centralized management for computers and mobile devices.
- Stronger device security through Microsoft Intune and device compliance policies
- Less manual administration through automated device configuration, deployment, and updates
- Greater control over devices through centralized management and device status reporting
- Faster device troubleshooting through configuration analysis and AI recommendations
- Faster device onboarding with Windows Autopilot and standardized deployment profiles
Monitoring & AIOps for earlier problem detection
Sii combines IT infrastructure monitoring services with AIOps (artificial intelligence for IT operations) to support incident analysis.
- Earlier warning of infrastructure issues through analysis of anomalies and deviations from normal behavior
- Less alert noise through correlation of infrastructure and service events from multiple sources
- Faster incident resolution through analysis of likely causes and recommendations for corrective action
- Clearer service visibility through monitoring of infrastructure, dependencies, and key operating metrics
- Shorter incident investigations with AI summaries and comparisons with similar past events
DevOps & automation for faster deployments
Sii develops DevOps (development and operations) practices, CI/CD (continuous integration and continuous delivery), infrastructure as code (IaC), and cloud-native solutions.
- Faster delivery of changes through automated continuous integration and delivery pipelines
- Fewer deployment errors through repeatable release processes and quality checks
- More consistent environments through infrastructure as code and version-controlled configurations
- Faster script preparation with AI assistance and mandatory engineer review
- Better team coordination through shared standards for development, operations, and maintenance
AI in IT infrastructure for greater availability & security
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IT Infrastructure case studies
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Meet our IT Infrastructure team
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.
IT Infrastructure NEWS & PROJECTS
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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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