Morpheus Data announced a series of enhancements which will help enterprise customers reduce cloud costs and simplify management of hybrid cloud deployments.
Morpheus customers can now:
- Boost cloud efficiency and predict future expenses with enhanced analytics, policy-based quotas and consolidated reporting for AWS and Microsoft Azure.
- Simplify Hybrid IT management and accelerate digital transformation with updates to existing AWS, Microsoft, Google, VMware, and Nutanix support.
- Improve visibility of application deployments across multiple clouds with ITSM integration into Cherwell and BMC Remedy.
As cloud management matures, standalone cloud optimization products are giving way to comprehensive approaches such as Morpheus which help enterprises get cloud spend under control while also providing the governance to eliminate future problems.
Morpheus now synchronizes actual costs from both AWS including month-to-date, estimated spend, and last month’s costs. New cost reports and visualizations are broken down by service and tag plus include data on both On-Demand and Reserved hours per EC2 Instance Type. This same level of accuracy and insight is applied to Microsoft Azure and will soon be extended to enable the application of additional cost-saving recommendations for both cloud providers. Lastly, cost reporting is updated to show budget variance between budgeted amount and actual spending per tenant.
These updates are on top of existing best-in-class brownfield discovery and guided remediation to improve efficiency across over a dozen cloud platforms. In the past 12 months, Morpheus leveraged machine learning to help customers identify millions of dollars of cost savings. More importantly, these organizations are now able to apply governance and consolidated reporting across projects, teams, and tenants so they can focus less on cost and more on improving IT agility.
Morpheus eliminates the need to learn multiple tools by providing a standardized approach to automate provisioning of new application environments across over 20 cloud platforms. Cloud specific enhancements in the recent release include:
- AWS: Accelerate onboarding of existing accounts by adding all VPC’s in a region at the same time before applying role-based access to govern use. Also seamlessly respond to workload spikes via Amazon scale-groups in addition to native Morpheus scaling.
- Microsoft: More easily create and manage resource pools in Azure plus more easily and securely manage large-scale SCVMM based on-prem clouds.
- Google: Take full advantage of Morpheus third-party multi-network integrations for IPAM, DNS and more plus easily provision Windows VMs.
- VMware: Easily manage and deploy applications to a VMware Integrated OpenStack (VIO) cloud in addition to existing support and certification for vSphere, ESXi, and vCloud Director.
- Nutanix: Morpheus is now Nutanix Ready certified plus integration has been enhanced with more robust brownfield discovery, hypervisor console access, and improved Windows provisioning automation.
To help bring the worlds of ITSM and DevOps closer together Morpheus combines a rich automation and cloud orchestration platform with hooks into ITSM tools so customers get better visibility from service request to service delivery. This announcement adds both Cherwell and BMC Remedy to existing integration with ServiceNow.
- Cherwell: Morpheus is an official technology partner of Cherwell and initial integration includes the ability to synchronize change requests between Cherwell and Morpheus and coordinate execution of actions.
- BMC Remedy: Morpheus is an official technology partner of BMC and initial integration includes ability to manage the change management database (CMDB) for any workloads Morpheus discovers or provisions.
- ServiceNow: Morpheus is an official technology partner of ServiceNow with a certified ServiceNow plug-in. Integration points include service catalog, approval workflows, CMDB, and incident management.
The Latest
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...