Virtual Desktop Tools, Virtual Desktop Strategies
Article | June 8, 2023
With cloud computing on the path to becoming the mother of all transformations, particularly in IT's ways of development and operations, we are once again confronted with the problem of conversion errors, this time a hundredfold higher than previous moves to dispersed computing and the web.
While the issue is evident, the remedies are not so obvious. Cloud complexity is the outcome of the fast acceleration of cloud migration and net-new innovation without consideration of the complexity this introduces in operations.
Almost all businesses are already working in a multi-cloud or hybrid-cloud environment. According to an IDC report, 93% of enterprises utilize multiple clouds. The decision could have stemmed from a desire to save money and avoid vendor lock-in, increase resilience, or businesses might have found themselves with several clouds as a result of the compounding activities of different teams. When it comes to strategic technology choices, relatively few businesses begin by asking, "How can we secure and control our technology?"
Must-Follow Methods for Multi-Cloud and Hybrid Cloud Success
Data Analysis at Any Size, from Any Source:
To proactively recognize, warn, and guide investigations, teams should be able to utilize all data throughout the cloud and on-premises.
Insights in Real-Time:
Considering the temporary nature of containerized operations and functions as a service, businesses cannot wait minutes to determine whether they are experiencing infrastructure difficulties. Only a scalable streaming architecture can ingest, analyze, and alert rapidly enough to discover and investigate problems before they have a major impact on consumers.
Analytics That Enables Teams to Act:
Because multi-cloud and hybrid-cloud strategies do not belong in a single team, businesses must be able to evaluate data inside and across teams in order to make decisions and take action swiftly.
How Can VMware Help in Solving Multi-Cloud and Hybrid-Cloud Complexity?
VMware made several announcements indicating a new strategy focused on modern applications. Their approach focuses on two VMware products: vSphere with Kubernetes and Tanzu.
Since then, much has been said about VMware's modern app approach, and several products have launched. Let's focus on VMware Tanzu.
Tanzu is a product that enables organizations to upgrade both their apps and the infrastructure that supports them. In the same way that VMware wants vRealize to be known for cloud management and automation, Tanzu wants to be known for modern business applications.
Tanzu uses Kubernetes to build and manage modern applications.
In Tanzu, there is just one development environment and one deployment process.
VMware Tanzu is compatible with both private and public cloud infrastructures.
The important point is that the Tanzu portfolio offers a great deal of flexibility in terms of where applications operate and how they are controlled. We observe an increase in demand for operating an application on any cloud, and how VMware Tanzu assists us in streamlining the multi-cloud operation for MLOps pipeline. Apart from multi-cloud operation, it is critical to monitor and alarm each component throughout the MLOps lifecycle, from Kubernetes pods and inference services to data and model performance.
Virtual Desktop Tools
Article | August 12, 2022
Why Should Companies Care about Data Virtualization?
Data is everywhere. With each passing day, companies generate more data than ever before, and what exactly can they do with all this data? Is it just a matter of storing it? Or should they manage and integrate their data from the various sources? How can they store, manage, integrate and utilize their data to gain information that is of critical value to their business?
As they say, knowledge is power, but knowledge without action is useless. This is where the Denodo Platform comes in. The Denodo Platform gives companies the flexibility to evolve their data strategies, migrate to the cloud, or logically unify their data warehouses and data lakes, without affecting business. This powerful platform offers a variety of subscription options that can benefit companies immensely.
For example, companies often start out with individual projects using a Denodo Professional subscription, but in a short period of time they end up adding more and more data sources and move on to other Denodo subscriptions such as Denodo Enterprise or Denodo Enterprise Plus. The upgrade process is very easy to establish; in fact, it can be done in less than a day once the cloud marketplace is chosen (Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). In as little as six weeks companies can realize real business benefits from managing and utilizing their data effectively.
A Bridging Layer
Data virtualization has been around for quite some time now. Denodo’s founders, Angel Viña and Alberto Pan, have been involved in data virtualization from as far back as the 1990’s. If you’re not familiar with data virtualization, here is a quick summary.
Data virtualization is the cornerstone to a logical data architecture, whether it be a logical data warehouse, logical data fabric, data mesh, or even a data hub. All of these architectures are best served by our principals Combine (bring together all your data sources), Connect (into a logical single view) and Consume (through standard connectors to your favorite BI/data science tools or through our easy-to-use robust API’s).
Data virtualization is the bridge that joins multiple data sources to fuel analytics. It is also the logical data layer that effectively integrates data silos across disparate systems, manages unified data for centralized security, and delivers it to business users in real time.
Economic Benefits in Less Than 6 weeks with Data Virtualization?
In a short duration, how can companies benefit from choosing data virtualization as a data management solution?
To answer this question, below are some very interesting KPI’s discussed in the recently released Forrester study on the Total Economic Impact of Data Virtualization. For example, companies that have implemented data virtualization have seen an 83% increase in business user productivity.
Mainly this is due to the business-centric way a data virtualization platform is delivered. When you implement data virtualization, you provide business users with an easy to access democratized interface to their data needs.
The second KPI to note is a 67% reduction in development resources. With data virtualization, you connect to the data, you do not copy it. This means once it is set up, there is a significant reduction in the need for data integration engineers, as data remains in the source location and is not copied around the enterprise.
Finally, companies are reporting a 65% improvement in data access speeds above and beyond more traditional approaches such as extract, transform, and load (ETL) processes.
A Modern Solution for an Age-Old Problem
To understand how data virtualization can help elevate projects to an enterprise level, we can share a few use cases in which companies have leveraged data virtualization to solve their business problems across several different industries.
For example, in finance and banking we often see use cases in which data virtualization can be used as a unifying platform to help improve compliance and reporting. In retail, we see use cases including predictive analytics in supply chains as well as next and best actions from a unified view of the customer. There are many uses for data virtualization in a wider variety of situations, such as in healthcare and government agencies. Companies use the Denodo Platform to help data scientists understand key trends and activities, both sociologically as well as economically.
In a nutshell, if data exists in more than one source, then the Denodo Platform acts as the unifying platform that connects, combines and allows users to consume the data in a timely, cost-effective manner.
Virtual Desktop Tools, Server Hypervisors
Article | June 8, 2023
System Center Virtual Machine Manager (SCVMM) is a management tool for Microsoft’s Hyper-V virtualization platform. It is part of Microsoft’s System Center product suite, which also includes Configuration Manager and Operations Manager, among other tools. SCVMM provides a single pane of glass for managing your on-premises and cloud-based Hyper-V infrastructures, and it’s a more capable alternative to Windows Server tools built for the same purpose.
Article | June 11, 2020
The future of broadband networks is fast, pervasive, reliable, and increasingly, virtual. Dell’Oro predicts that virtual CMTS/CCAP revenue will grow from $90 million in 2019 to $418 million worldwide in 2024. While network virtualization is still in its earliest stages of deployment, many operators have begun building their strategy for virtualizing one or more components of their broadband networks.