Fortis delivers across three connected pillars: database engineering, cloud infrastructure, and AI data engineering, plus the ongoing arrangements for estates that need an engineer on them continuously.
Request an assessmentThe foundation. Database depth across every major platform, delivering the reliability, performance, and compliance posture that production programs depend on.
Full lifecycle DBA work across SQL Server, PostgreSQL, Oracle, MySQL, MariaDB, and MongoDB. Installation, configuration, patching, upgrades, capacity planning, and operational support for systems that cannot go dark.
Engage this serviceDeep analysis using execution plans, wait statistics, and I/O profiling. Query optimization, index redesign, and instance tuning aimed at root causes rather than symptom management.
Engage this serviceAvailability groups, transactional and merge replication, log shipping, and Kafka event-driven architecture, including systems that operate under intermittent or denied network connectivity.
Engage this serviceClustering, failover automation, backup chain design, and recovery procedures that have actually been tested. Built to hold uptime commitments and continuity of operations requirements.
Engage this serviceDatabase architecture aligned to FedRAMP, FISMA, DoD RMF, and SOX. Role-based access control, encryption at rest, and audit logging designed in from the first commit.
Engage this serviceRoot cause analysis for deadlocks, blocking chains, replication failures, corruption, and performance emergencies on production systems, with remediation and post-incident documentation.
Engage this serviceMigration, automation, and cloud-native data platform engineering across all four cloud platforms and their commercial equivalents, with production depth in AWS, inside real compliance boundaries.
End-to-end migration of legacy database estates, primarily into AWS and AWS GovCloud, with Azure Government, OCI and GCP supported where the estate requires it. Assessment, target architecture, execution, validation, and post-migration tuning, with data integrity as the non-negotiable.
Engage this serviceTerraform and Ansible for database provisioning, CI/CD pipelines for schema and operational change, automated runbooks, and the compute and network engineering underneath a cloud-native data platform.
Engage this servicePipeline engineering across heterogeneous systems at multi-terabyte scale, using SSIS, Informatica, Qlik Replicate, and custom Python, with change data capture, bulk load, and streaming patterns.
Engage this serviceCross-cloud tradeoff analysis, platform selection, and target architecture design. Grounded in hands-on architecture across all four government clouds, with primary production depth in AWS, rather than vendor documentation.
Engage this serviceProduction generative AI architecture built on the same patterns as active federal and enterprise data programs, from model integration through the pipelines that feed it.
End-to-end generative AI platform design on AWS: Bedrock model integration, knowledge base configuration, and direct model API implementation for data-heavy applications.
Engage this serviceVector search and retrieval-augmented generation over private datasets, so model responses are grounded in your data instead of invented. Embedding strategy, chunking, and evaluation included.
Engage this serviceDesign and deployment of agent architectures for multi-step reasoning over operational data, with action groups, tool definitions, and guardrails that keep behavior inside policy.
Engage this serviceOCR pipelines that turn physical documents into structured database records, plus image analysis with confidence scoring for inspection and asset workflows.
Engage this serviceCache-aside architecture with Redis and ElastiCache, key design for access pattern rather than habit, and invalidation strategy that stops stale data from being served confidently.
Engage this serviceCodePipeline and CodeDeploy automation for model-backed systems, identity and access architecture, environment separation, and the observability to know when behavior drifts.
Engage this serviceMost of this work does not end. These are the arrangements for an estate that needs an engineer on it continuously, rather than a project that closes. Fortis also supports federal programs and prime contractor delivery teams under the same model, as a scoped engineering workstream rather than staffing. Federal and prime support
A senior database engineer on your estate every month, without the cost or the hiring cycle of a full-time role. Proactive maintenance, performance work, change review, and someone who already knows the environment before something goes wrong.
Discuss a retainerA block of hours drawn down as needed, for teams that have the capability in house most of the time and need depth occasionally. No monthly commitment, no minimum draw, and the hours do not expire.
Discuss availabilityRoot cause analysis and remediation when a production database is in trouble: corruption, replication failure, blocking chains, a failed cutover. Arranged in advance so the relationship exists before the incident does.
Set up an arrangementMost programs need more than one. Start with a fixed-scope assessment and we will propose the right approach from what it finds.