What scalable platform should it run on?
Cloud & Platforms
Build the Foundation for Modern Government.
- Architect
- Automate
- Operate
Government technology must operate securely, reliably, and at scale—while adapting to changing missions, policies, workloads, and technologies.
Sierron helps Federal and State agencies design, modernize, automate, and operate cloud and platform environments that support mission-critical applications, digital services, data, and AI.
We bring together cloud architecture, platform engineering, infrastructure automation, observability, reliability, FinOps, and cloud operations to create technology foundations that are secure by design and built to evolve.
Our approach focuses on more than moving workloads to the cloud. We help agencies build environments that are repeatable, resilient, observable, cost-aware, and easier to operate.
Design the Right Foundation for the Mission
There is no single cloud architecture that works for every government program.
Mission requirements, security classifications, existing investments, data sensitivity, interoperability, performance, cost, and operational needs all influence the right architecture.
Sierron evaluates those requirements and designs cloud and platform environments that balance modernization with security, resilience, portability, and long-term operational needs.
Cloud Strategy & Roadmaps
Define practical cloud adoption and modernization strategies aligned with mission priorities, application portfolios, security requirements, workforce capabilities, and investment objectives.
Cloud Architecture
Design secure, scalable architectures across compute, storage, networking, identity, applications, data, integration, monitoring, and shared services.
Hybrid & Multi-Cloud Architecture
Connect cloud and on-premises environments and support multiple cloud platforms where mission, portability, resilience, procurement, or technical requirements call for them.
Cloud Landing Zones
Establish standardized cloud foundations with account and subscription structures, networking, identity, logging, security controls, policies, and governance built in from the beginning.
Cloud Migration Planning
Assess application portfolios, dependencies, data, integrations, security, and operational requirements to determine appropriate migration and modernization pathways.
Workload Assessment & Placement
Determine where applications and workloads should operate based on security, performance, latency, availability, cost, data, and mission requirements.
Cloud Network Architecture
Design secure connectivity across cloud, on-premises, users, applications, data, external partners, and government networks.
Identity-Centric Architecture
Integrate identity, authentication, authorization, least privilege, privileged access, and Zero Trust principles into the foundation of cloud environments.
Resilience & Availability Architecture
Design redundancy, fault tolerance, geographic distribution, backup, recovery, and continuity capabilities appropriate to mission criticality.
Data & AI Platform Architecture
Design scalable infrastructure foundations for data engineering, analytics, machine learning, generative AI, and high-performance workloads.
Cloud Security Architecture
Build security controls into cloud architecture, including identity, segmentation, encryption, logging, workload protection, configuration management, and continuous monitoring.
Architecture Standards & Reference Patterns
Create reusable architectures, patterns, standards, and technical guidance that help programs adopt cloud consistently without redesigning the foundation for every workload.
OutcomeA secure, scalable cloud foundation aligned to the mission—not simply to a particular technology.
Turn Infrastructure Into a Repeatable Platform
Cloud environments become difficult to manage when every team provisions infrastructure differently.
Sierron uses platform engineering and automation to turn infrastructure, security controls, configurations, and deployment patterns into repeatable services that teams can consume consistently.
The result is less manual configuration, faster environment provisioning, fewer inconsistencies, and a stronger foundation for continuous delivery.
Platform Engineering
Build shared technology platforms that provide development and application teams with standardized infrastructure, services, tools, security controls, and deployment patterns.
Infrastructure as Code (IaC)
Define and provision infrastructure through version-controlled code so environments can be created consistently, reviewed, tested, reproduced, and audited.
Automated Cloud Provisioning
Automate the creation and configuration of networks, compute, storage, databases, identity, monitoring, and other cloud resources.
Container Platforms
Create standardized environments for packaging and running applications consistently across development, testing, and production.
Kubernetes & Container Orchestration
Engineer and operate container orchestration platforms for workloads requiring portability, scalability, automated deployment, and service management.
Self-Service Developer Platforms
Provide approved templates, services, environments, and automated workflows that allow engineering teams to move faster without bypassing enterprise controls.
Configuration Management
Automate system and environment configuration to reduce drift and maintain consistent operating standards across large technology environments.
Policy as Code
Translate security, infrastructure, configuration, and governance requirements into automated policies that can be evaluated and enforced consistently.
DevSecOps Platform Enablement
Provide the shared cloud services, pipelines, registries, environments, security tools, and automation needed to support secure software delivery.
Automated Security Guardrails
Embed security requirements into provisioning and deployment processes so common controls are applied automatically rather than manually after implementation.
Secrets & Configuration Management
Securely manage credentials, keys, certificates, application secrets, and environment-specific configurations across systems and deployment pipelines.
Environment Standardization
Create repeatable development, testing, staging, and production environments to reduce configuration differences and deployment risk.
Reusable Cloud Services
Create approved, reusable platform components for common capabilities such as logging, monitoring, identity, databases, messaging, integration, and storage.
OutcomeCloud environments that are faster to provision, easier to govern, and consistent across programs and teams.
Keep Mission-Critical Platforms Available, Secure, and Efficient
Building the cloud environment is only the beginning.
Government systems must remain available and performant as workloads, users, security threats, technologies, and mission demands change.
Sierron combines cloud operations, Site Reliability Engineering, observability, automation, performance management, resilience, and cost optimization to keep platforms operating effectively throughout their lifecycle.
Cloud Operations
Operate and maintain cloud infrastructure, platform services, configurations, environments, and supporting technologies across the lifecycle.
Site Reliability Engineering (SRE)
Apply software engineering and automation principles to operations to improve availability, reliability, scalability, and recoverability.
Observability & Monitoring
Bring together metrics, logs, traces, events, infrastructure health, application performance, and user experience to create end-to-end operational visibility.
Application & Infrastructure Performance Management
Monitor and optimize infrastructure, platforms, databases, networks, applications, APIs, and dependent services to maintain required performance.
Availability & Reliability Management
Establish service objectives, operational measures, redundancy, fault-tolerance, and reliability practices aligned to mission requirements.
Incident & Problem Management
Detect, respond to, investigate, and resolve operational incidents while identifying root causes and preventing recurring problems.
Capacity & Performance Engineering
Understand workload patterns and proactively adjust resources to maintain performance as demand changes.
Autoscaling & Elasticity
Automatically adjust infrastructure resources to workload demand while balancing availability, performance, and cost.
Backup & Disaster Recovery
Protect critical data and services through secure backup, replication, recovery environments, restoration procedures, and recurring recovery testing.
Patch & Configuration Management
Maintain infrastructure and platforms through controlled patching, upgrades, configuration standards, and vulnerability remediation.
Platform Lifecycle Management
Plan and manage upgrades, dependencies, end-of-life technologies, capacity changes, and platform evolution before they create operational risk.
Operational Automation
Automate routine maintenance, monitoring, remediation, recovery, and operational workflows to improve consistency and reduce manual effort.
OutcomeReliable platforms that remain available, observable, recoverable, and ready to support changing mission demands.
Cloud Built for Regulated Environments
Federal and State agencies operate under security, privacy, procurement, records, accessibility, and compliance requirements that make cloud adoption different from a typical commercial implementation.
Sierron approaches cloud architecture and operations with those requirements in mind from the beginning.
Federal & State Cloud Environments
Design and operate cloud environments appropriate for government applications, data, security requirements, and operating models.
FedRAMP-Aligned Cloud Services
Help programs architect workloads using cloud services appropriate to applicable federal authorization and security requirements.
FISMA & RMF Support
Integrate required security controls, evidence, documentation, scanning, remediation, and monitoring activities into cloud engineering and operations.
Continuous Monitoring
Establish automated visibility into configurations, vulnerabilities, security events, assets, identities, and cloud resources to support ongoing risk management.
ATO Enablement
Engineer cloud environments with authorization requirements in mind and support technical evidence, control implementation, remediation, and ongoing compliance activities.
Zero Trust Cloud Architecture
Apply identity-centric access, least privilege, segmentation, device and workload trust, encryption, and continuous verification across cloud environments.
Data Protection & Encryption
Protect sensitive government information at rest and in transit through encryption, key management, access controls, and appropriate data-handling practices.
Auditability & Traceability
Maintain logging, configuration history, infrastructure code, access records, deployment evidence, and operational information needed to understand and demonstrate how environments are managed.
OutcomeCloud environments engineered to support government security, compliance, authorization, and operational requirements from the start.
Build Infrastructure Ready for the Next Generation of Workloads
AI and advanced data workloads place new demands on infrastructure.
Sierron helps agencies establish cloud and platform foundations capable of supporting large-scale data processing, machine learning, generative AI, model deployment, and emerging computational workloads—without creating another isolated technology environment.
AI/ML Platform Engineering
Create scalable environments for developing, testing, deploying, and operating machine learning and AI solutions.
Generative AI Infrastructure
Establish secure infrastructure for large language models, retrieval-augmented generation, AI assistants, vector search, model endpoints, and related AI services.
Accelerated Computing
Architect access to GPU and other specialized compute resources for AI, machine learning, simulation, and computationally intensive workloads.
Data Platform Infrastructure
Provide scalable compute, storage, networking, orchestration, and security foundations for modern data lakes, warehouses, lakehouses, and analytics platforms.
Model Serving & AI Operations
Provide infrastructure and operational capabilities needed to deploy, scale, monitor, and manage AI models in production environments.
AI Workload Security
Apply identity, data protection, network controls, secrets management, logging, monitoring, and isolation to AI infrastructure and workloads.
Elastic AI & Data Workloads
Scale computational resources as workloads change while managing performance, availability, and cost.
OutcomeAI and data platforms that can move from experimentation to secure, scalable production use.
Control the Environment. Understand the Cost.
Cloud makes infrastructure easier to consume. Without strong governance, it can also make technology environments harder to control.
Sierron helps agencies establish governance and FinOps practices that provide visibility into cloud resources, ownership, security, usage, and spending while preserving the flexibility teams need to deliver.
Cloud Governance
Define organizational structures, standards, policies, ownership, account models, and decision processes for managing cloud environments.
FinOps
Bring technology, finance, acquisition, and program teams together to understand cloud consumption and make informed cost and architecture decisions.
Cost Visibility & Allocation
Establish tagging, account structures, reporting, chargeback or showback models, and dashboards that connect cloud spending to programs and workloads.
Cloud Cost Optimization
Identify idle resources, inefficient configurations, inappropriate capacity, storage opportunities, and architecture changes that can reduce unnecessary spending.
Budgeting & Forecasting
Analyze historical usage and anticipated workload changes to improve cloud budget planning and cost forecasting.
Resource Governance
Establish policies and automation for resource ownership, tagging, provisioning, retention, and retirement.
Policy Enforcement
Use automated guardrails to identify or prevent cloud configurations that violate established security, architecture, or governance standards.
Cloud Asset Management
Maintain visibility into cloud resources, ownership, configurations, dependencies, lifecycle status, and utilization.
OutcomeGreater control of cloud environments and clearer visibility into how technology investments support the mission.
Move with Purpose. Modernize Where It Matters.
Cloud migration should be driven by workload requirements—not by a goal of simply relocating infrastructure.
Sierron helps agencies evaluate each workload and determine the right path based on architecture, mission value, technical debt, security, cost, and operational requirements.
Cloud Readiness Assessment
Evaluate applications, infrastructure, data, dependencies, integrations, security requirements, skills, and operations before migration begins.
Application Portfolio Assessment
Analyze application portfolios to identify migration dependencies, modernization priorities, risk, complexity, and sequencing.
Migration Strategy & Planning
Determine the appropriate migration approach for each workload and develop phased plans that minimize mission disruption.
Data Migration
Plan, validate, secure, and execute movement of databases, files, repositories, and other information while maintaining integrity and availability.
Migration Execution
Coordinate infrastructure, applications, data, integrations, security, testing, cutover, and operational readiness throughout migration.
Post-Migration Optimization
Evaluate migrated workloads for performance, architecture, security, reliability, and cost improvements after transition.
OutcomeWorkloads moved deliberately, with modernization opportunities addressed rather than simply transferring legacy problems to the cloud.
The Platforms We Build On
Cloud
AWS · Microsoft Azure · Google Cloud
Containers & Platforms
Kubernetes · Docker · OpenShift
Infrastructure & Automation
Terraform · Ansible · Cloud-native infrastructure as code
Observability
Splunk · New Relic · Cloud-native monitoring
Data & AI Platforms
Databricks · Cloud AI/ML services · Modern data platforms
The people who deliver it
Sierron brings together cloud, platform, infrastructure, reliability, and operations professionals to architect, automate, and operate secure, scalable technology foundations for mission-critical systems.
Cloud Architecture & Engineering
- Cloud Architect
- Cloud Engineer
- Cloud Solutions Architect
- Infrastructure Architect
- Cloud Migration Engineer
Platform & Automation Engineering
- Platform Engineer
- DevOps Engineer
- Infrastructure as Code Engineer
- Kubernetes Engineer
- Container Platform Engineer
Reliability & Cloud Operations
- Site Reliability Engineer
- Cloud Operations Engineer
- Systems Engineer
- Observability Engineer
- Infrastructure Engineer
Cloud Governance & Optimization
- FinOps Specialist
- Cloud Governance Specialist
- Cloud Security Engineer
- Cloud Compliance Specialist
- Cloud Cost Analyst
The Sierron Cloud & Platforms Approach
Architect for the mission.
Design cloud environments around mission, security, data, performance, interoperability, resilience, and operational requirements—not around a single vendor.
Automate the foundation.
Turn infrastructure, configurations, policies, and controls into repeatable code and reusable platform services.
Secure from the beginning.
Integrate identity, Zero Trust, encryption, monitoring, vulnerability management, and compliance requirements into cloud architecture and operations.
Design for operations.
Build observability, reliability, backup, recovery, performance, and lifecycle management into the platform before production.
Optimize continuously.
Use operational telemetry, automation, performance data, and FinOps practices to continuously improve reliability, security, and cost.
Build for portability.
Use modular architectures, open standards, APIs, containers, automation, and appropriate abstraction to reduce unnecessary technology lock-in.
Built for government. Ready for what's next.
Sierron creates secure, automated, and resilient cloud foundations that help Federal and State agencies modernize applications, scale digital services, operationalize AI and data, and support evolving mission requirements.