Fortis Data Group delivers across three integrated capability pillars — Database Engineering, Cloud Infrastructure, and AI [Artificial Intelligence] Data Engineering. Every engagement is led by a senior practitioner with hands-on federal production experience across all three.
The foundation. Senior DBA [Database Administrator] depth across every major platform — delivering the database reliability, performance, and compliance that federal programs depend on.
Enterprise DBA [Database Administrator] services across SQL Server, PostgreSQL, Oracle, MySQL, MariaDB, and MongoDB. Full lifecycle — installation, configuration, patching, upgrades, capacity planning, and 24/7 operational support for mission-critical federal environments.
Engage this serviceDeep-dive analysis using DMVs [Dynamic Management Views], execution plans, wait statistics, and I/O [Input/Output] profiling. Query optimization, indexing redesign, and instance parameter tuning — fixing root causes permanently, not masking symptoms.
Engage this serviceAlways On AG [Availability Groups], transactional and merge replication, log shipping, and Kafka [Apache Kafka] event-driven architecture — including systems operating under intermittent or denied network connectivity.
Engage this serviceClustering, failover automation, backup chain design, and tested recovery procedures supporting 99.9%+ uptime SLAs [Service Level Agreements] and federal COOP [Continuity of Operations] requirements.
Engage this serviceFedRAMP [Federal Risk and Authorization Management Program], FISMA [Federal Information Security Management Act], DoD RMF [Department of Defense Risk Management Framework], and SOX [Sarbanes-Oxley Act] database architecture. RBAC [Role-Based Access Control], TDE [Transparent Data Encryption], audit logging — built in from day one.
Engage this serviceRapid root cause analysis for deadlocks, blocking chains, replication failures, corruption, and performance emergencies on production federal systems. Immediate remediation and post-incident documentation.
Engage this serviceMulti-cloud migration, IaC [Infrastructure as Code] automation, and cloud-native data platform engineering across all four government cloud environments — within federal compliance boundaries.
End-to-end migration of legacy database environments to AWS GovCloud [Amazon Web Services Government Cloud], Azure Government, OCI [Oracle Cloud Infrastructure], and GCP [Google Cloud Platform]. Assessment, architecture, execution, validation, and post-migration optimization — zero data loss.
Engage this serviceTerraform and Ansible IaC [Infrastructure as Code] for database provisioning, CI/CD [Continuous Integration / Continuous Deployment] pipelines for database operations, automated runbooks, and EC2 [Elastic Compute Cloud] and security group engineering for cloud-native data infrastructure.
Engage this servicePipeline engineering processing multi-terabyte datasets across heterogeneous federal systems. SSIS [SQL Server Integration Services], Informatica IICS [Intelligent Cloud Services], Qlik Replicate, and custom Python pipelines with CDC [Change Data Capture], bulk load, and real-time streaming patterns.
Engage this serviceCross-cloud tradeoff analysis, platform selection, and architecture design for federal multi-cloud environments. Concurrent production experience across all four government clouds — real engineering, not vendor documentation.
Engage this serviceProduction AWS [Amazon Web Services] GenAI [Generative Artificial Intelligence] architecture built using the same patterns as active federal and DoD [Department of Defense] programs — from LLM [Large Language Model] integration to autonomous AI [Artificial Intelligence] agents over federal datasets.
End-to-end AWS [Amazon Web Services] GenAI [Generative Artificial Intelligence] platform design — Amazon Bedrock LLM [Large Language Model] integration, Knowledge Base configuration, and Claude AI [Anthropic's AI model] API [Application Programming Interface] implementation for federal data applications.
Engage this serviceVector search and RAG [Retrieval-Augmented Generation] pipeline design over private federal datasets — grounding AI [Artificial Intelligence] responses in your data without hallucination. Bedrock Knowledge Base with OpenSearch Serverless vector embeddings.
Engage this serviceConfiguration and deployment of Bedrock Agents for autonomous multi-step reasoning over federal datasets — AI [Artificial Intelligence] that executes complex data tasks without human orchestration at each step.
Engage this serviceAmazon Textract OCR [Optical Character Recognition] pipelines converting physical federal documents to structured database records. Rekognition [Amazon Rekognition] for image analysis and asset visual inspection with confidence scoring.
Engage this serviceSageMaker [Amazon SageMaker] Jupyter notebook development, data quality dashboards, and predictive classification models using pandas and scikit-learn [Python ML library] for federal operational datasets.
Engage this serviceCodePipeline [AWS CodePipeline] + CodeDeploy [AWS CodeDeploy] automation for AI [Artificial Intelligence] system deployments — push to GitHub [code repository], auto-deploy to production EC2 [Elastic Compute Cloud] in under 60 seconds. Full IAM [Identity and Access Management] role architecture and environment management.
Engage this serviceMost federal programs need more than one. We'll assess your environment and propose the right approach across all three.