Infrastructure and Application Managed Services
Run your business. We’ll run the technology behind it.
Rackspace operates your infrastructure, applications, data and security as one accountable service. Embedded engineers work with AI-driven operations to reduce downtime, control costs and give your teams more time to focus on business priorities.
Give your teams more time for the priorities that move the business forward
Downtime costs an average of $5,600 a minute, while 83% of organizations report skills gaps in the teams responsible for managing increasingly complex environments. Cloud delivers greater scale and cost efficiency when infrastructure, applications, data and security operate as one coordinated environment.
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fewer alerts reaching your teams through intelligent correlation
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of incidents handled automatically, with approval gates where you set them
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faster resolution, with root causes surfaced in seconds rather than hours
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lower cloud spend through continuous rightsizing
How we deliver
Combine engineering expertise with AI-driven operations
Dedicated engineers who know your environment work with an AI operations platform that handles operational volume at scale, freeing them to focus their expertise and judgment where it adds the most value.
Rackspace Elastic Engineering pods
Multidisciplinary teams work within your environment across infrastructure, DevOps, data, security and applications. Capacity flexes with your priorities while the team remains consistent, building knowledge of your environment over time.
Rackspace AI Ops Platform
Automated processes handle operational volume at scale, correlating and enriching alerts, tracing root causes across dependencies and updating runbooks from successful resolutions. Operational knowledge stays in the platform and grows with every resolution.
Security strategy, posture and compliance
Defined service levels, a single view across your environment and one team to call bring operations together. Rackspace takes accountability for cost, reliability and compliance across the environments and systems we manage.
Securing AI
Automate at scale within the limits you define
Rule-based workflows automate repeatable work, while AI-driven workflows handle more complex activity. Policy guardrails, approval gates and human-in-the-loop controls govern every action. You define which systems the platform can access, which workflows it can run and where human approval is required.
Customer-defined policies and escalation thresholds
Automation scope controls and approval gates
Audit-ready logging for every action
Isolated customer tenants with read-only access by default
What we run
From the application your customers touch to the infrastructure beneath it
Infrastructure and database operations
24x7x365 operations across public cloud, private cloud and on-premises environments, including database administration and data pipeline management.
Application operations
Upgrades, releases and ongoing engineering for the applications your business depends on, with AI-assisted testing and change risk scoring.
Security operations
Continuous protection, threat detection and incident response from the Rackspace Cyber Defense Center, with compliance evidence aligned to regulatory requirements.
FinOps and cost governance
Budget governance, spend visibility and continuous optimization across your cloud accounts to improve cost control and resource efficiency.
Explore Cloud Optimization →
Explore Cloud Optimization →
Data operations
Keep data platforms and pipelines reliable, available and ready to support analytics, AI and other data-intensive workloads.
Service management
Manage incidents, changes and service reporting through your tooling or ours, with AI-generated reviews and natural-language visibility into your environment.
Industrias
Pericia de confianza para industrias donde hay más en juego
Healthcare
Epic and clinical platforms kept available, patient data protected, and a governed foundation ready to move AI from pilot to the point of care.
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Financial services
Core banking and payments modernized with proven recovery, data control and the audit evidence regulators expect, so AI can follow safely.
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Public sector
Sovereign, accredited cloud for citizen services, run by cleared teams, with the control to modernize today and adopt AI when you’re ready.
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Rackspace has done a superb job with the SDDC migration, with excellent project governance, hitting milestones on time and with minimal disruption to business as usual.
Ian Kerwin,
Head of IT & Cloud Operations, Metro Bank
Complementary services
Connect managed operations with cloud and AI services as your priorities evolve
Managed services can work together with migration, optimization and Enterprise AI Cloud to support your priorities before, during and after deployment.
Cloud Optimization
Improve cost efficiency with FinOps, rightsizing and architecture reviews that complement ongoing managed operations.
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Cloud Migration and Modernization
Move workloads with a team that can carry infrastructure knowledge from migration into ongoing operations.
Learn More
Enterprise AI Cloud
Extend the same operational discipline to AI workloads with governed infrastructure and ongoing production operations.
Learn More
FAQ
Frequently asked questions
Which platforms does Rackspace manage?
Rackspace provides managed services across Amazon Web Services (AWS), Microsoft Azure, Google Cloud, Rackspace Private Cloud and customer on-premises infrastructure, individually or as part of a hybrid environment.
What is Rackspace Elastic Engineering?
Rackspace Elastic Engineering gives you a dedicated, multidisciplinary pod that works within your environment across infrastructure, DevOps, data, security and applications. Capacity flexes with your priorities while the team and its knowledge of your environment remain consistent.
How does Rackspace use AI in managed operations?
The Rackspace AI Ops Platform correlates and enriches alerts, traces root causes across dependent systems, maintains runbooks from successful resolutions and automates routine remediation. Rule-based workflows run by default, while AI-driven workflows operate within policy guardrails, approval gates and human-in-the-loop controls.
Can AI take actions in our environment on its own?
Only within the boundaries you define. Access is read-only by default, automation scope is customer-defined and actions outside that scope route to a person for approval.
Is customer data used to train AI models?
No. Customer data is not used to train AI models. Each customer operates in a separate, isolated tenant, and the platform architecture has been reviewed by the Rackspace security team.
Is the Rackspace AI Ops Platform an additional cost?
No. It is included as part of the standard Rackspace managed services setup.
Can Rackspace co-manage an environment with our internal IT team?
Yes. Rackspace supports fully managed and co-managed models. Many customers retain architecture and application ownership while Rackspace handles day-to-day operations, with responsibilities defined up front and managed through a shared workflow.
Does Rackspace manage environments for regulated industries?
Yes. Rackspace operates Epic EMR environments for healthcare providers, core banking platforms for regulated financial institutions and mission-critical systems for energy companies, with governance, sovereignty and compliance requirements integrated into daily operations.
Put your operations in experienced hands
Talk to a Rackspace expert about your infrastructure, applications and operational priorities. We’ll help you define the right managed or co-managed model for your environment.