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Trusted Business Advisors, Expert Technology Analysts

Research Areas

Cloud Management

Includes Cloud Infrastructure Management, encompassing Operations, Automation and Orchestration and Business/Financial Management; Virtual Infrastructure Management (monitoring, optimization and performance); Virtualized Datacenter Operations and strategies (automation and cloud computing); and Legacy Infrastructure Management.

This practice covers all forms of technologies and capabilities that impact and enable cloud and on-premises infrastructure management, including operational management; automation and orchestration; business management and cloud costing. This category also includes management of virtual infrastructure and traditional, non-virtualized on-premises environments. As on-premises infrastructure and apps transition to cloud, new management challenges arise, such as around workload mobility and migration, security and availability.

We track and examine these management challenges in the context of hybrid and multi-cloud environments, and identify opportunities for both vendors and end users to optimize their cloud management platforms and approaches.

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Report

Hedvig Takes Your Storage to Hybrid and Multi-Cloud

With data growth exploding and on-premises IT costs creeping ever higher, an increasing number of organizations are taking a serious look at adopting cloud infrastructure for their business data and applications. Among other things, they are attracted to benefits like near-infinite scalability, greater agility and a pay-as-you-go model for consuming IT resources. These advantages are already driving new infrastructure spending on public and private clouds, which is growing at double-digit rates as spending on traditional, non-cloud, IT infrastructure continues to decline.


While most companies we speak with are already developing cloud-native apps in Amazon Web Services (AWS) or Microsoft Azure, a much smaller number have actually deployed typically backend business apps in the public cloud. What’s preventing them from taking this next step? As it turns out, one of the biggest hurdles is productively deploying existing data storage in the cloud. Public clouds don’t have the compatibility to fully support the range of storage protocols, data services and use cases that companies’ key business apps tend to rely on, making it difficult and less useful to move these workloads to the cloud. Some organizations consider reengineering their applications for cloud-native storage, but this is both costly and time consuming, and in fact may not lead to the results they are looking for. Based on recent Taneja Group research, IT buyers want a simple path for lifting and transferring their app data to the cloud, where it can be supported for both primary and secondary use cases. They are also looking to run many workloads flexibly in a hybrid cloud deployment while maintaining the level of data security and governance they enjoy on premises.


In addition to these technical requirements, companies must also weigh potential business costs, such as the risk of getting locked into a single provider. Our research reveals that customers are increasingly concerned about this risk, which is exacerbated by a lack of data mobility among various on-premises and public cloud infrastructures.


Fortunately, the founding team at Hedvig understands these customer needs and set out more than five years ago to address them. The result of their initiative is the Hedvig Distributed Storage Platform (DSP), a unified programmable data fabric that allows customers to simply and securely deploy any type of workload and application data in a hybrid or multi-cloud environment. Based on software-defined technology, Hedvig DSP enables your existing workloads, whether based on block, file or object storage, to take advantage of cloud scalability and agility today, without the expense and delays of a major reengineering effort. With Hedvig, IT teams can automatically and dynamically provision storage assets using just software on standard x86 servers, whether in your own private cloud or a public cloud IaaS environment. Hedvig enables your workloads to move freely between different public and private cloud environments, avoiding lock-in and allowing you to choose the cloud best suited for each application and use case. Hedvig can support your primary storage needs, but also supports tier-2 storage so that you can backup your data on the same platform.


In this piece, we’ll learn more about what IT professionals are looking for in cloud storage solutions, based on our research findings. We’ll then focus specifically on Hedvig storage for hybrid and multi-cloud environments to help you decide whether and how their solutions can meet your primary and secondary storage needs.
 

Publish date: 03/26/18

Converging Hyperconvergence with Cloud: HyperGrid Rolls Out the Future of IT Today

A recent Taneja Group survey on IT infrastructure shows that Hyperconvergence is quickly becoming the preferred datacenter architecture of choice for traditionally oriented datacenters. Today well over half of IT decision-makers want to transition off legacy silo stacks of servers, storage, networking and complicated layers of integrating protocols into more seamless, more ideally cloud-like pools of easily and dynamically composable resources.

Furthermore, these IT organizations are discovering that in the transition to an on-premise modular, plug-and-play infrastructure they can also readily take advantage of hybrid cloud options and benefits. In fact, looking at it from the cloud side, HCI architectures are also attractive to many kinds of service providers who themselves desire a scalable, low OPEX infrastructure. 

The business and IT benefits of both hyperconvergence and hybrid cloud are undeniable. Who wouldn’t want better, faster, and cheaper? The IT dream for years has been to be able to host data and applications on-site as required, but when desired, transparently leverage cloud services – for cost optimization, bursting, DR, global access, mobile and web app support, etc.. Here at Taneja Group we’ve been looking for emerging solutions that demonstrate further evolution in IT architectures by further converging HyperConverged infrastructure with hybrid cloud operations.

Enter HyperGrid, a re-born Gridstore, delivering on just that vision.

Publish date: 08/31/16
Free Reports

IT Cloud Management Market Landscape

In this report, Taneja Group presents an evaluation of the current IT Cloud Management market landscape for enterprise customers. We look at this landscape as an evolution of IT operations management grown up into the cloud era. In addition to increasingly smart and capable operational monitoring and systems management, good cloud management also requires sophisticated capabilities in both automation and orchestration at scale to support end-user provisioning and agility, and detailed financial management services that reveal multi-cloud costs for analysis and chargeback or showback. Our objective is to evaluate cloud management offerings from leading vendors to enable senior business and technology leaders to decide which vendors offer the best overall solution.

In this study, we evaluated vendors with offerings in one or more of the three fundamental areas. Several well-known vendors (VMware, Microsoft, ServiceNow, HPE, IBM and BMC) have solutions in all three areas. Other vendors focus on only one or two areas, and because it’s possible to compose a broader solution from parts, we’ve evaluated popular niche solutions within each area. All companies were required to have solutions that were generally available as of April 2016. To fairly assess the offerings, we looked at a set of differentiating factors in each of the categories that we believe enterprise customers should use to qualify cloud management solutions. As a final step, to facilitate optimal enterprise selection, we also evaluated the full solution vendors at a higher level where we looked at additional value derived from integrations across areas and other important enterprise vendor engagement factors.

Within each of the three areas that we will refer to as Cloud Orchestration, Operations Management, and Financial Management, and at the vendor level for full-suite vendors, we’ve applied categories of factors for scoring as determined by our team of experts, based on customer buying criteria, technical innovation, and market drivers. The overall results of the evaluation revealed that VMware has a strong lead in today’s competitive cloud management landscape.

Publish date: 08/29/16
Free Reports

IT Cloud Management Market Landscape - Executive Summary

In this report, Taneja Group presents an evaluation of the current IT Cloud Management market landscape for enterprise customers. We look at this landscape as an evolution of IT operations management grown up into the cloud era. In addition to increasingly smart and capable operational monitoring and systems management, good cloud management also requires sophisticated capabilities in both automation and orchestration at scale to support end-user provisioning and agility, and detailed financial management services that reveal multi-cloud costs for analysis and chargeback or showback. Our objective is to evaluate cloud management offerings from leading vendors to help senior business and technology leaders decide which vendors offer the best solution. In this study, we evaluated vendors with offerings in one or more of the three fundamental areas. Several well-known vendors (VMware, Microsoft, ServiceNow, HPE, IBM and BMC) have solutions in all three areas. Other vendors focus on only one or two areas, and because it’s possible to compose a broader solution from parts, we’ve evaluated popular niche solutions within each area. All companies were required to have solutions that were generally available as of April 2016. To fairly assess the offerings, we looked at a set of differentiating factors in each of the categories that we believe enterprise customers should use to qualify cloud management solutions. As a final step, to facilitate optimal enterprise selection, we also evaluated the full solution vendors at a higher level where we looked at additional value derived from integrations across areas and other important enterprise vendor engagement factors. Within each of the three areas that we will refer to as Cloud Orchestration, Operations Management, and Financial Management, and at the vendor level for full-suite vendors, we’ve applied categories of factors for scoring as determined by our team of experts, based on customer buying criteria, technical innovation, and market drivers. The overall results of the evaluation revealed that VMware has a strong lead in today’s competitive cloud management landscape.

Publish date: 08/26/16
Free Reports

Virtual Instruments WorkloadCentral: Free Cloud-Based Resource for Understanding Workload Behavior

Virtual Instruments, the company created by the combination of the original Virtual Instruments and Load DynamiX, recently made available a free cloud-based service and community called WorkloadCentral. The service is designed to help storage professionals understand workload behavior and improve their knowledge of storage performance. Most will find valuable insights into storage performance with the simple use of this free service. For those who want to get a deeper understanding of workload behavior over time, or evaluate different storage products to determine which one is right for their specific application environment, or optimize their storage configurations for maximum efficiency, they can buy additional Load DynamiX Enterprise products available from the company.
The intent with WorkloadCentral is to create a web-based community that can share information about a variety of application workloads, perform workload analysis and create workload simulations. In an industry where workload sharing has been almost absent, this service will be well received by storage developers and IT users alike.
Read on to understand where WorkloadCentral fits into the overall application and storage performance spectrum...

Publish date: 05/26/16
Profile

Now Big Data Works for Every Enterprise: Pepperdata Adds Missing Performance QoS to Hadoop

While a few well-publicized web 2.0 companies are taking great advantage of foundational big data solution that they have themselves created (e.g. Hadoop), most traditional enterprise IT shops are still thinking about how to practically deploy their first business-impacting big data applications – or have dived in and are now struggling mightily to effectively manage a large Hadoop cluster in the middle of their production data center. This has led to the common perception that realistic big data business value may yet be just out of reach for most organizations – especially those that need to run lean and mean on both staffing and resources.   

This new big data ecosystem consists of scale-out platforms, cutting-edge open source solutions, and massive storage that is inherently difficult for traditional IT shops to optimally manage in production – especially with still evolving ecosystem management capabilities. In addition, most organizations need to run large clusters supporting multiple users and applications to control both capital and operational costs. Yet there are no native ways to guarantee, control, or even gain visibility into workload-level performance within Hadoop. Even if there wasn’t a real high-end skills and deep expertise gap for most, there still isn’t any practical way that additional experts could tweak and tune mixed Hadoop workload environments to meet production performance SLA’s.

At the same time, the competitive game of mining of value from big data has moved from day-long batch ELT/ETL jobs feeding downstream BI systems, to more user interactive queries and business process “real time” applications. Live performance matters as much now in big data as it does in any other data center solution. Ensuring multi-tenant workload performance within Hadoop is why Pepperdata, a cluster performance optimization solution, is critical to the success of enterprise big data initiatives.

In this report we’ll look deeper into today’s Hadoop deployment challenges and learn how performance optimization capabilities are not only necessary for big data success in enterprise production environments, but can open up new opportunities to mine additional business value. We’ll look at Pepperdata’s unique performance solution that enables successful Hadoop adoption for the common enterprise. We’ll also examine how it inherently provides deep visibility and reporting into who is doing what/when for troubleshooting, chargeback and other management needs. Because Pepperdata’s function is essential and unique, not to mention its compelling net value, it should be a checklist item in any data center Hadoop implementation.

To read this full report please click here.

Publish date: 12/17/15
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