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BlueAlly + Red Hat

Red Hat OpenShift and Ansible, delivered by one accountable team: platform, automation, AI and Zero Trust on one foundation.

Focus partner

One foundation. Accountable delivery.

Make the platform decision with the application, automation and operating model in view.

BlueAlly connects Red Hat platform capabilities to the decisions buyers need to make: where workloads belong, how change is controlled, and who owns production. Our team brings assessment, architecture, implementation and ongoing operations into one delivery plan, with Red Hat Ansible Automation Platform driving the same automation behind our network automation work.

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Why now

Four forces shape the next platform decision

Virtualization economics

Broadcom moved VMware to subscription-only bundles, raising costs. Buyers need to compare renewal exposure, workload dependencies and migration risk before choosing what to retain or move.

Maximo modernization

Maximo 7.6 end of support forces a move to Maximo Application Suite (MAS), which runs on OpenShift when customer-managed. Application readiness and platform readiness need a coordinated plan.

Zero Trust investment

Zero Trust mandates keep funding platform hardening. Identity, workload policy and evidence collection need to become part of the operating foundation, not a separate cleanup project.

Governed AI

Organizations want AI on platforms they govern. Data access, model lifecycle, infrastructure choices and operational ownership need to be agreed before a pilot becomes a production commitment.

Five focus areas

Platform choices connected to real workloads

OpenShift + IBM Maximo

Align customer-managed MAS with an OpenShift foundation. Address application dependencies, integration, storage, backup and operating ownership together so the asset-management roadmap has a practical platform plan.

OpenShift Virtualization

Evaluate virtual machines alongside containerized applications. Assess workload compatibility, storage and network requirements, migration sequencing and recovery needs before committing to a migration approach.

Red Hat Ansible

Turn repeatable platform and network work into versioned automation. Define ownership, approved inputs, testing and execution controls so teams can operate a shared automation model.

OpenShift AI

Build a governed path from experimentation to model operations. Connect data access, model serving, resource requirements and evaluation criteria to a workload the organization can own.

OpenShift + Zero Trust

Make hardening part of platform delivery. Connect identity and access, workload segmentation, vulnerability management and runtime policy to the organization's risk priorities and evidence requirements.

Fixed-scope engagements

Start with a boundary. Finish with a decision.

Agree the workload set, access requirements, deliverables and acceptance criteria before work begins. Each engagement resolves a specific next-step decision.

OVE Migration Assessment

Bounded scope: Evaluate an agreed VMware workload set for OpenShift Virtualization, including dependencies, compatibility, storage, networking and recovery requirements. Produce a target approach, migration sequence and cost model.

Decision: Select the migration approach and identify which workloads to move, retain or investigate further.

MAS Readiness Review

Bounded scope: Review the agreed Maximo environment and customer-managed MAS target, covering application dependencies, integrations, data, OpenShift capacity and operating responsibilities. Document gaps and remediation priorities.

Decision: Determine MAS readiness and approve the remediation priorities required before implementation.

Ansible Automation Jumpstart

Bounded scope: Implement an agreed set of platform or network workflows with source-of-truth inputs, version control, testing, execution permissions and an operator handoff. Validate only the selected workflows against agreed criteria.

Decision: Approve the automation rollout, ownership model and next workflow priorities.

OpenShift AI Pilot

Bounded scope: Prove one agreed AI use case using a defined dataset, model approach, access controls and resource boundary. Evaluate the workload against agreed functional, governance and operating criteria.

Decision: Progress the AI pilot toward production, revise its scope or stop based on the evidence.

Zero Trust Hardening

Bounded scope: Assess and implement an agreed set of controls for a defined OpenShift environment. Review identity, configuration, workload policy, vulnerability findings and runtime detection, then document remaining gaps.

Decision: Approve hardening priorities, remediation ownership and the next control-validation steps.

How we engage

Plan. Build. Manage.

  1. PlanAssess, align, and prioritize

    Start with a discovery workshop and fixed-scope assessment. Establish workload requirements, constraints and ownership, then produce a target architecture, delivery plan and cost model for a clear investment decision.

  2. BuildDesign, integrate, and implement

    Prove a pilot on a real workload against agreed criteria. Validate integrations, security, recovery and operational handoff before deciding what is ready for production and what still needs remediation.

  3. ManageOperate, secure, and improve

    Move into production with defined responsibilities and operating procedures. Maintain the platform, review capacity and policy, and prioritize optimization as workloads and requirements change.

Federal & compliance

Controls with evidence, not blanket assurances

Translate mission requirements into a defined control scope, implementation evidence and an accountable remediation plan.

BlueAlly holds a Top Secret Facility Clearance and supports air-gapped, disconnected and classified environments.

Contract vehicles
NASA SEWP VI (Categories A and B)GSA MASMDA SHIELD
Talk to our federal team

DISA STIG scanning & remediation

Use the OpenShift Compliance Operator for DISA STIG scanning and remediation within supported profiles. Review applicability, exceptions and findings with the control owner, and validate changes before recording evidence.

Clusters installed in FIPS mode

Plan clusters installed in FIPS mode from the outset, with supported operating system and platform configurations. Confirm the cryptographic requirements and applicable validated components for the specific environment.

Workload security with RHACS

Use Red Hat Advanced Cluster Security for Kubernetes (RHACS) for vulnerability management, policy enforcement and runtime detection. Define policies, review findings and connect response actions to operational ownership.

Framework mapping

Align the approach to the required outcomes

OMB M-22-09

Map platform hardening, workload access policy and vulnerability evidence to applicable application and workload security objectives. Identity, device, network and data requirements need coordination with the agency's wider environment.

DoD Zero Trust Strategy

Map configuration controls, workload policy, automation and runtime detection to applicable Applications & Workloads, Automation & Orchestration, and Visibility & Analytics activities. Validate the mapping against the program's target capabilities.

CISA ZTMM

Use the CISA Zero Trust Maturity Model to assess applicable Applications & Workloads capabilities and cross-cutting visibility, automation and governance. Establish the current state and prioritize evidence-backed improvements.

These mappings support planning and control validation. They do not confer certification, authorization or compliance by default. Outcomes depend on the selected scope, deployment configuration, integrations, operating processes and the responsible organization's assessment.

Platform & network automation

A shared engine for controlled change

Red Hat Ansible Automation Platform is the automation engine across platform and network, driven from a single source of truth.

Use that source of truth to supply approved inventory and intent. Configuration management turns those inputs into versioned changes; testing & validation checks them before and after execution. Orchestration coordinates the dependencies, approvals and handoffs across platform and network teams.

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De-identified delivery proof

Delivery depth behind the plan

Maximo & OpenShift delivery

Delivery depth spans Maximo application requirements and the OpenShift platform beneath them. Architecture, integration and operational readiness are considered together rather than handed off as unrelated workstreams.

Documented MAS 9 reference architecture

A documented MAS 9 reference architecture on OpenShift provides a basis for platform design and readiness discussions. Each engagement validates the architecture against its own dependencies, security requirements and operating constraints.

Automation-first delivery

Automation-first delivery puts repeatable configuration, validation and operational workflows into the implementation plan. Versioned inputs and controlled execution support an operating model teams can maintain after handoff.

Sector coverage

One team. Different operating constraints.

Higher education & research, government, utilities, oil & gas, healthcare, manufacturing and transportation.

Research environments need governed access to shared compute and data. Government buyers need traceable control decisions. Asset-intensive sectors need Maximo and platform plans that respect operational dependencies. Healthcare, manufacturing and transportation require change and recovery plans aligned to service continuity. Scope the platform around those constraints before choosing the implementation path.

Success Stories

Open-source technology in practice

A Rural Electric Cooperative Launches Its ISP on Time with Red Hat

The cooperative met its go-live date and launched reliable, affordable internet for its community.

Read the story

Planning the next Red Hat decision?

Start with the workload, the operating constraint and the decision you need to make.

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