Managed Operations

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.

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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.

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.

One accountable operation

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.

fewer alerts

reaching your teams through intelligent correlation

of incidents handled

automatically, with approval gates where you set them

faster resolution

with root causes surfaced in seconds rather than hours

lower spend

on cloud computing through continuous rightsizing

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.

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.

Industries

Trusted expertise for industries where the stakes are the highest

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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Explore Industries

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

Go to the Case Study

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.

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Enterprise AI Cloud

Extend the same operational discipline to AI workloads with governed infrastructure and ongoing production operations.

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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.