Cloud infrastructure management
- Hybrid and multi-cloud architecture
- Application and data migration to the cloud
- Cloud monitoring and cost optimization
- High availability and automated scaling
Top Sigma
Services
Focused services for the teams responsible for cloud platforms, production reliability, secure delivery, and data-driven operations.
Managed services
We help teams reduce operational noise, harden production systems, and create predictable support practices. The original MSP offer remains intact: we support cloud infrastructure, backup, incident handling, CI/CD, cybersecurity, compliance, and risk management.
Consulting
We help organizations adopt DevOps practices that improve collaboration, accelerate delivery cycles, and integrate with existing workflows.
Design, deploy, and manage scalable cloud infrastructure with confidence across changing business and technical needs.
Improve reliability, scalability, and performance while reducing incidents and supporting continuity of operations.
Identify relevant regulations, implement controls, reduce risk, and build long-term compliance practices that can be operated sustainably.
Identify vulnerabilities, improve defenses, and build practical security strategies across data, identities, infrastructure, and applications.
Create tailored analytics and AI solutions that improve operations, reveal opportunities, and support better decision-making.
Talent and capability
When you need permanent hires, embedded consultants, or sharper internal capability, we support the full cycle from role calibration and technical assessment to training and delivery support.
Our recruitment process is built around efficiency and signal: role understanding, focused candidate presentation, technical assessment where useful, and consistent communication throughout the process.
Training and assessments
Workshops and training programs in DevOps, Cloud, Site Reliability Engineering, Compliance, Cybersecurity, Data, and AI, tailored to your team’s current maturity and target operating model.
Structured evaluations that identify capability gaps, operational risk, and practical improvement areas before they become delivery or reliability problems.