Technologies

Cystem X engineers across a deliberately broad set of clouds, AI platforms, databases, languages and security tools - because enterprise and government programs rarely standardize on just one.

What we build with

The platforms, frameworks and tools below are grouped by category rather than vendor preference. We select the right tool for each engagement's security, performance, cost and governance requirements, not the other way around - and the same discipline applies whether a workload runs in public cloud, in a private data center or fully air-gapped.

Security and compliance fit

Every tool is checked against the data classification, residency and audit requirements of the engagement before it is approved for use, not added by default because it is familiar.

Total cost of ownership

Licensing, operational overhead and the cost of switching later all factor into a recommendation, not just the sticker price of a platform or seat license.

Delivery team depth

We recommend a stack our engineers can actually support in production, with on-call depth behind it, rather than a tool only one architect on the team has used.

The infrastructure layer for workloads that need to scale, migrate or run consistently across more than one provider.

AWS Azure Google Cloud Oracle Cloud Infrastructure Kubernetes Terraform Docker

Model serving, orchestration and fine-tuning frameworks behind our generative, agentic and applied ML work.

NVIDIA vLLM PyTorch Hugging Face LangGraph LlamaIndex Anthropic Claude OpenAI Azure OpenAI Amazon Bedrock scikit-learn

Relational, document and in-memory engines sized and tuned for high-availability, regulated workloads.

PostgreSQL Oracle SQL Server MySQL/MariaDB MongoDB Redis Cassandra

Backend, frontend and mobile frameworks used to build and modernize custom enterprise platforms.

Java/Spring Boot .NET/C# Node.js/NestJS Python/Django/FastAPI Go Rust PHP/Laravel TypeScript React Next.js Angular Vue Kotlin Swift Flutter React Native

Infrastructure automation, delivery pipelines and observability that keep releases fast and reversible.

Terraform Ansible GitHub Actions GitLab CI Jenkins Prometheus Grafana ArgoCD

Detection, identity and testing tooling behind our managed SOC, offensive security and governance work.

Wazuh Elastic Security Splunk Microsoft Sentinel Suricata Zeek OpenVAS/Greenbone Burp Suite OWASP ZAP Trivy HashiCorp Vault Keycloak

All product, platform and company names listed above are trademarks of their respective owners. Mention of a product here does not imply endorsement, certification or a partnership with Cystem X.

Technology selection, answered

Common questions about how we choose and support the stacks above.

How does Cystem X decide which cloud platform or stack to use for a project?

We start from the engagement's security, performance, cost and governance requirements, then select the platform that meets them with the least operational risk. Existing client infrastructure and in-house team familiarity are weighed alongside that, but never override a hard security or compliance requirement.

Do you support multi-cloud and hybrid deployments?

Yes. Many of our enterprise and government clients run workloads across more than one cloud provider, their own data center, or a fully air-gapped environment at the same time. Our engineers design for that reality rather than assuming a single-provider world.

Can you work with our existing technology stack instead of replacing it?

In most engagements, yes. We assess what is already in place, identify what should stay, what needs hardening, and what has reached end of life, then modernize incrementally rather than forcing a full rebuild where one is not warranted.

Do you support air-gapped or on-premises deployments of these technologies?

Yes, across the AI, database, DevOps and security stacks listed above. Our AI Infrastructure & LLMOps and Sovereign Cloud teams specifically design for disconnected, regulated and classified environments where every dependency has to be verified before it reaches production.