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Rackspace Technology Activates Data for Modern Enterprises with its Announcement of Rackspace DataOps

June 15, 2021

Rackspace Technology Activates Data for Modern Enterprises with its Announcement of Rackspace DataOps

Rackspace Technology Activates Data for Modern Enterprises with its Announcement of Rackspace DataOps

Offering expands on recently launched Rackspace Elastic Engineering by leveraging the power of agile methods to deliver business breakthroughs

SAN ANTONIO – June 15, 2021 – Rackspace Technology® (NASDAQ: RXT), a leading end-to-end, multicloud technology solutions company, announced today the launch of Rackspace DataOps – expanding its new Rackspace Elastic Engineering model to Data. Customers can now leverage process maturity provided by Rackspace Technology, agile delivery and Fanatical Experience™ to accelerate the delivery of trusted, high-quality data to business leaders, data scientists, employees, partners, and applications.  

Delivering the right data to the right application at the right moment is foundational to driving innovation, including establishing new business models and revenue streams, engaging with customers, gaining deep insights into supply chains, and optimizing workflows.

“83% of respondents to 451 Research’s Voice of the Enterprise (VotE): Data & Analytics, Data Management & Analytics 2020 survey stated that their company is at some stage of investment in DataOps, with more than a third having defined and established a DataOps strategy,” according to Matt Aslett, Research Director for 451 Research, part of S&P Global Market Intelligence.

Data technologies are evolving quickly, making traditional long-term planning both risky and inefficient. Investing in DataOps accelerates the design, development, and deployment of new data streams into the data architecture so teams can rapidly implement and frequently UPDATE solutions based on evolving business needs.

Rackspace Technology achieves predictable delivery and change management of data, data models and related artifacts with its Rackspace Elastic Engineering for Data, the foundational service of Rackspace DataOps. Rackspace Elastic Engineering for Data provides access to a pod of data specialists via a modern managed service model that improves operational efficiency and enables innovation by offering the following:

  • “Do with” Approach: Our Rackspace Elastic Engineering for Data pod works in an agile, sprint-based model right alongside your team.
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  • Consistent Team: No matter which tier of hours you use each month, you will always work with the same pod that knows you, your environment and your business.
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  • Flexible, Tiered Pricing: Purchase ‘fractional access to your pod via straightforward hours-based tiers and scale up and down monthly should your business needs change.
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  • Multi-faceted skill sets: The Rackspace Elastic Engineering Pod for Data consists of an engagement manager, data architects and engineers working together as one unit.
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  • Ongoing Innovation: Rackspace Technology leverages leading cloud platforms tools and frameworks to deliver progressive improvement, enablement and transformation.

Data Pipeline Management for 24/7 data pipeline monitoring, management and support is available as an optional add-on service for Rackspace Elastic Engineering for Data.

“Rackspace DataOps Managed Services provide an agile and automated, process-oriented methodology combined with world-class support to improve the quality and reduce the cycle time of data analytics,” said Jeff DeVerter, CTO Solutions at Rackspace Technology. “This is important for our customers because it drives greater value from data by empowering business leaders with the possibilities of both live and predictive analytics from across their organization.”

In addition to providing greater value from data, Rackspace DataOps enables advanced AI and machine learning capabilities that open the door to market differentiating innovation, prescriptive insights, intelligent applications, and data monetization.

Engage in a complimentary Discovery Session to learn how a modern data platform can accelerate your path to becoming a truly data-driven organization.

Rackspace Technology

Rackspace Technology is a leading end-to-end multicloud technology services company. We can design, build and operate our customers’ cloud environments across all major technology platforms, irrespective of technology stack or deployment model. We partner with our customers at every stage of their cloud journey, enabling them to modernize applications, build new products and adopt innovative technologies.

About Rackspace Technology

Rackspace Technology® (NASDAQ: RXT) is the operator of the full enterprise AI stack from governed private cloud to AI inference and agents in production. With an Outcomes-as-a-Service model built on secure infrastructure, data foundations, and forward-deployed engineering, Rackspace delivers business results for regulated and mission-critical industries where governance, sovereignty, and uptime are non-negotiable. Learn more at www.rackspace.com.

Forward-Looking Statements

This press release contains “forward-looking statements” within the meaning of the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. Forward-looking statements generally relate to future events and can be identified by terminology such as “believe,” “may,” “will,” “potentially,” “estimate,” “continues,” “anticipate,” “intend,” “could,” “would,” “project,” “plan,” “expect,” “is putting,” “designed to,” or the negative of such terms or other similar expressions, although not all forward-looking statements contain these words.

 These statements include, but are not limited to, Rackspace Technology’s relationship with NVIDIA and the NVIDIA Cloud Partner Program, its Enterprise AI Cloud strategy, the anticipated capabilities, benefits and timing of its Institutional Sovereign Pod architecture, Rackspace’s outlook on the AI industry and its ability to deliver, operate, and scale AI infrastructure and solutions for regulated, institutional and sovereign enterprises. Forward-looking statements are based on current expectations and assumptions and are subject to risks and uncertainties that could cause actual results to differ materially, including, without limitation: Rackspace's ability to realize the anticipated benefits of its relationship with NVIDIA and the NCP program; the availability, cost, and timing of deployment of NVIDIA and other third-party technology; Rackspace's ability to develop, market, and scale the Institutional Sovereign Pod and related offerings on the anticipated timeline or at all; market acceptance of and demand for sovereign and governed AI infrastructure solutions; competition in the AI infrastructure and cloud services markets; capital expenditure requirements associated with AI infrastructure buildout; availability of financing for the AI infrastructure buildout on terms acceptable to Rackspace; Rackspace’s reliance on a limited number of technology partners, including NVIDIA; cybersecurity, data privacy, and regulatory compliance risks associated with serving regulated and sovereign customers; general economic and industry conditions; and other risks and uncertainties described in Rackspace's filings with the Securities and Exchange Commission, including its most recent Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. Rackspace undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required by law.