Hewlett Packard Enterprise (HPE) has entered into a definitive agreement to acquire Morpheus Data, a provider of software for hybrid cloud management and platform operations.
The acquisition of Morpheus reflects HPE’s commitment to simplify IT complexity by expanding the hybrid operations capabilities available through HPE GreenLake cloud. Unifying complete hybrid capabilities on a single platform like HPE GreenLake is critical as enterprises grapple with IT estates that are more heterogenous and complex to manage.
Morpheus will enhance HPE GreenLake by providing multi-vendor, multicloud application provisioning, orchestration and automation, as well as FinOps capabilities for cloud cost optimization. Morpheus complements HPE’s successful acquisition of IT operations management leader OpsRamp in 2023. These capabilities will solidify HPE as the first vendor to provide a full suite of enterprise-grade capabilities and services across the hybrid cloud stack2 and will make HPE GreenLake the future-proof hybrid cloud destination for enterprises.
“The complexity of today's fragmented IT environments drives up costs and stifles innovation. Enterprises urgently need a unified platform to simplify IT complexity and accelerate innovation, regardless of whether they use public or private cloud infrastructure. With the acquisition of Morpheus Data, we will take the next major leap to make HPE GreenLake cloud the de facto platform for innovating across hybrid IT,” said Fidelma Russo, EVP and GM, hybrid cloud and CTO at Hewlett Packard Enterprise.
To prevent IT complexity from being an innovation bottleneck, HPE GreenLake is evolving into the future-proof platform for managing virtualized, cloud-native and AI workloads. Morpheus advances this vision by enabling customers to orchestrate and automate the full lifecycle management of applications across hybrid environments. HPE GreenLake customers will be able to seamlessly provision and manage almost any workload across traditional and modern cloud environments including brownfield private and public infrastructure.
HPE GreenLake will also help enterprises optimize spending across cloud environments through extensive FinOps capabilities. HPE will combine its multi-vendor, multicloud IT data with Morpheus’ FinOps capabilities to enable customers to understand their cloud spend, put guardrails around usage and optimize their workloads to lower costs.
“This acquisition is the result of a long-term relationship between HPE and Morpheus Data that has already proven successful with customers. Together we will be able to help more customers transform their multicloud, multi-vendor IT estates to thrive and innovate in this increasingly complex and fragmented IT landscape,” said Brian Wheeler, co-founder and CEO, Morpheus Data.
The transaction is expected to close early in the fourth quarter of the HPE 2024 fiscal year, subject to customary closing conditions. Morpheus Data’s technology will be integrated with HPE GreenLake cloud and HPE’s private cloud portfolio and continue to be offered as standalone software. HPE will support existing customers and partnerships.
The Latest
For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...
FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...
Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...
While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...
A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...
In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability...
While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...
Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...