Skip to main content

Moving to Hybrid Cloud

1. Flat or declining IT budgets
2. Securely add capacity on demand
3. Risk mitigation of natural disaster or technical failure
4. Limited IT staff and resources to accommodate growth
5. Speed deployment of new products and services

On-demand access to IT resources for new application development as well as for running existing applications.

VMware vCloud Hybrid Service is a secure, dedicated infrastructure-as-a-service hybrid
cloud owned and hosted by VMware, built on the trusted foundation of VMware vSphere.
The service supports existing applications and new application development, giving you a common platform for seamlessly extending your existing data center to the cloud while leveraging the same tools and processes you use today.

Early cloud adopters have found success in moving development and testing to the cloud. It’s an easy, fast, and cost-effective way to get on-demand capacity for a limited time period. But other workloads may also be good candidates for hybrid cloud computing.
Depending on your specific requirements, consider evaluating the following types of workloads to move to hybrid cloud:

Use Case #1: Packaged Applications 

With flat or declining budgets, IT departments are facing a rising challenge of quickly adding
capacity on-demand to meet business-critical requirements or free up existing resources for higher value projects.
An effective way to meet this challenge is to migrate standard packaged applications, such as email and collaboration software, to a hybrid cloud. But in many cases existing applications must be rewritten and reconfigured for a public cloud platform.

vCloud Hybrid Service supports the thousands of applications and dozens of operating systems certified to run on vSphere, so you can run your existing applications in the cloud with no changes required. This addresses a major shortcoming of many other cloud providers’ offerings: the requirement to re-architect
packaged applications and configurations to run on that cloud provider’s specific platform. With vCloud Hybrid Service, you  don’t have to rewrite or re-architect existing applications and you get the same level of security, availability, and performance that you already get from your onsite VMware infrastructure.

Use Case #2: Web/E-Commerce

Web and e-commerce applications, such as online retail stores, are often 3-tier applications requiring public-facing web assets outside the firewall and businesscritical assets onsite. When delivered as software-as-aservice, these types of applications can potentially cause security risks to enterprise information and customer data if proper compliance and controls aren’t implemented. They also typically require dynamic and unpredictable resource requirements, which can be difficult to plan for when hosting in your data center.
vCloud Hybrid Service delivers a secure, cost-effective, and easily scalable platform for deployment of web and e-commerce applications. vCloud Hybrid Service is built on a seamless virtualized network that’s quickly customizable to support your application and security needs. You can stretch your Layer 2 and Layer 3 networks seamlessly from your data center to vCloud Hybrid Service without the need for manual
configuration changes. Network virtualization enables you to configure your firewalls and network as if they were in your own data center, so you can replicate the network your applications need to operate. You can also leverage your existing IT policies to meet all security, compliance, and control requirements. 

Comments

Popular posts from this blog

Python and Parquet Performance

In Pandas, PyArrow, fastparquet, AWS Data Wrangler, PySpark and Dask. This post outlines how to use all common Python libraries to read and write Parquet format while taking advantage of  columnar storage ,  columnar compression  and  data partitioning . Used together, these three optimizations can dramatically accelerate I/O for your Python applications compared to CSV, JSON, HDF or other row-based formats. Parquet makes applications possible that are simply impossible using a text format like JSON or CSV. Introduction I have recently gotten more familiar with how to work with  Parquet  datasets across the six major tools used to read and write from Parquet in the Python ecosystem:  Pandas ,  PyArrow ,  fastparquet ,  AWS Data Wrangler ,  PySpark  and  Dask . My work of late in algorithmic trading involves switching between these tools a lot and as I said I often mix up the APIs. I use Pandas and PyArrow for in-RAM comput...

Ingesting IoT Sensor Data Into S3 With an RPI3

StreamSets Data Collector Edge is a lightweight agent used to create end-to-end data flow pipelines. We'll use it help stream data collected from a sensor. Due to the increasing amount of data produced from outside source systems, enterprises are facing difficulties in reading, collecting, and ingesting data into a desired, central database system. An edge pipeline runs on an edge device with limited resources, receives data from another pipeline or reads the data from the device, and controls the device based on the data. StreamSets Data Collector (SDC) Edge, an ultra-lightweight agent, is used to create end-to-end data flow pipelines in StreamSets Data Collector and to run the pipelines to read and export data in and out of systems. In this blog, StreamSets Data Collector Edge is used to read data from an air pressure sensor (BMP180) from an IoT device (Raspberry Pi3). Meanwhile, StreamSets Data Collector is used to load the data into Amazon's Simple Storage Service ...

Real-Time Talk: Windows 10 IoT Core Background Tasks and ASP.NET Core Web Apps

Display useful information from your Windows 10 IoT Core application in an ASP.NET Core web app, essential for integrating IoT data into a solution. Windows 10 IoT background task talk with a web application using WebSockets. Problems As my path to this solution has been troublesome, I am listing here the main problems I faced so my dear readers have a better idea of dead-end streets along the way: I was not able to make the ASP.NET Core web application run under a Windows 10 IoT background service. I found no information about when or if it will be supported in the near future. ASP.NET MVC and ASP.NET Core have different SignalR implementations. I was not able to make a SignalR client for .NET Core work with SignalR hosted on a web application. I was able to make things work by directly using a WebSocket. It’s not as nice a solution as I had in my mind, but it works until things get better. Making the Background Task and Web Application Talk I worked out sim...