We’re three weeks away from VMworld and super excited that we’ll be there, unveiling new features of HyperCloud™, a full-stack offering that provides cloud services for the enterprise on-premises on a pay-as-you-go consumption model, with integrated governance for IT control and orchestration for any application on bare-metal, VMs and containers.
Getting ready for VMworld brings us to this week’s must-see HyperCloud™ demo – countdown to #2.
Many organizations are looking to make their business more agile by speeding up the delivery of infrastructure and application services. While the move towards automating provisioning workflows may seem like an obvious step that should be adopted by IT teams, many organizations are reluctant to make drastic changes to the existing processes without first understanding the impacts. After all, there are many questions that IT teams need to answer before embarking on any automation journey.
- If an automated, self-service model is adopted for provisioning, how can IT ensure that approval workflows and entitlements are enforced for governance?
- How can IT enforce quota and cost metering policies to ensure appropriate usage of infrastructure with showback reports to track the cost of infrastructure and application services?
- How can IT manage resources, workloads, and operations across multiple clouds?
- How can IT manage not just the initial provisioning workflows but the life-cycle management operations for infrastructure and applications post-provision?
For many IT organizations, the drawbacks of adopting a manual process for provisioning virtual machines may be obvious.
- Long waits. After a request is made, it typically takes days or even weeks for IT to deliver new infrastructure.
- Rising costs. Manual processes reduce IT efficiency, while increased use of infrastructure outside of IT’s control leads to over-provisioning and overspending.
- Inconsistent infrastructure. Poorly executed manual tasks can lead to configuration errors, requiring time-consuming reworking.
By adopting an automated, self-service provisioning model to deliver infrastructure IT can achieve the following benefits.
- Rapid delivery. Self-provisioning for business users means infrastructure is delivered in minutes, not days, reducing the likelihood of shadow IT.
- Fewer errors. Reduces configuration errors that are a natural consequence of manual processes.
- Lower CapEx and OpEx. Eliminates underutilization of VMs and improves IT efficiency.
Whether an organization is delivering infrastructure or application services, approvals are often needed to control the capacity used and to enforce security policies
Here are the drawbacks of adopting a manual process for approving provisioning requests and monitoring the usage of infrastructure.
- Loss of control. The business turns to unsanctioned infrastructure as a faster alternative, at the expense of security, governance, and visibility.
- Weak oversight. Manual enforcement of granular entitlements and other security policies leads to errors and inconsistencies across clouds.
- Rising costs. Infrastructure cannot be adequately monitored across clouds, leading to overspending.
By enabling consistent deployment, security policy enforcement, visibility, and governance for all applications, running on premises or in the cloud, IT can achieve the following benefits.
- Strong governance.
- Users get automated policy enforcement and a consistent workflow for provisioning infrastructure on any cloud.
- Automatically enforces policies and quotas that prevent the underutilization of resources and insecure access policies.
- Lower CapEx and OpEx. Cohesive utilization and expense monitoring means you can see where to optimize for better cost efficiency.
Many organizations focus on the initial provisioning workflows to deliver infrastructure and application services in a timely manner. Unfortunately, however, it’s the day-2 operations that end up being more of a bottleneck for IT teams struggling to apply patches, scale out resources, and make configuration updates.
By adopting automated lifecycle management, IT can automate downstream operations, lowering the cost to apply patches, scale out resources, and update configurations.
Moving to a Cloud On Premises with Personalized Self-Service Provisioning of VMs on VMware vSphere using HyperCloud™
The self-service library in HyperCloud™ enables self-provisioning of infrastructure, storage, network, database, and application services in minutes, not days!
In this demo, we will cover the following:
- Personalized, self-service provisioning of VMs on VMware vSphere using HyperCloud™. All provisioning workflows initiated through the self-service library in HyperCloud™ Portal adhere to IT-defined governance controls, entitlements, approvals and quota policies – allowing IT to be in full control while providing agility and flexibility to application development teams.
- Cost metering reports providing cohesive utilization and expense monitoring to optimize for better cost efficiency.
And you can learn even more about HyperCloud™ and how we enable transformation from virtualization at VMworld, August 27 – 31, 2017, at Mandalay Bay Resort and Casino, booth #218.
Please go to https://hypergrid.com/vmworld-2017/ for more information.
VP of Product at HyperGrid. Previously the co-founder & CEO of DCHQ, which is now HyperCloud™ Portal, the management console of HyperCloud™, providing integrated compute, storage, networking, application and container services in a full-stack offering that is delivered on premises and on a pay-as-you-go consumption model. The self-service library in HyperCloud enables self-provisioning of infrastructure, storage, network, container, and application services on HyperCloud™ as well as 15 other clouds and virtualization platforms – like VMware vSphere, OpenStack, Microsoft Hyper-V, Amazon Web Services, Microsoft Azure and others.
Prior to founding DCHQ, he was a senior product manager at VMware, where he managed strategic products in cloud management & automation for almost 3 years. He also assumed a product management role for 5 years at Oracle where he focused on application and middleware management capabilities. He holds a bachelors degree in computer science from MIT and an MBA degree from UCLA.
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