Welcome!

@CloudExpo Authors: Zakia Bouachraoui, Pat Romanski, Liz McMillan, Yeshim Deniz, Elizabeth White

Related Topics: Microsoft Cloud, Open Source Cloud, Containers Expo Blog, Cognitive Computing , Silverlight, @CloudExpo

Microsoft Cloud: Article

Understanding Hyper-V Replica

A BCDR Solution for Mid-Market

Windows Server 2012 Hyper-V Role introduces a new capability, Hyper-V Replica, as a built-in replication mechanism at a virtual machine (VM) level. Hyper-V Replica can asynchronously replicate a selected VM running at a primary site to a designated replica site across LAN/WAN. Here both a primary site and a replica site are Windows Server 2012 Hyper-V hosts where a primary site runs production or the so-called primary VMs, while a replica site is standing by with replicated VMs off and to be brought online, should the primary site experiences a planned or unplanned VM outage. Hyper-V Replica requires neither shared storage, nor a specific storage hardware. Once an initial copy is replicated to a replica site and replication is ongoing, Hyper-V Replica will replicate only the changes of a configured primary VM, i.e. the deltas, asynchronously. The following schematic presents this concept.

hyper-v replica

Once all the requirements are put in place, first configure a target replica server, followed by configure an intended VM at a primary site for replication. A sample process to establish Hyper-V Replica is available at http://aka.ms/replica.

More Stories By Yung Chou

Yung Chou is a Technology Evangelist in Microsoft. Within the company, he has had opportunities serving customers in the areas of support account management, technical support, technical sales, and evangelism. Prior to Microsoft, he had established capacities in system programming, application development, consulting services, and IT management. His recent technical focuses have been in virtualization and cloud computing with strong interests in hybrid cloud and emerging enterprise computing architecture. He is a frequent speaker in Microsoft conferences, roadshow, and TechNet events.

CloudEXPO Stories
By 2021, 500 million sensors are set to be deployed worldwide, nearly 40x as many as exist today. In order to scale fast and keep pace with industry growth, the team at Unacast turned to the public cloud to build the world's largest location data platform with optimal scalability, minimal DevOps, and maximum flexibility. Drawing from his experience with the Google Cloud Platform, VP of Engineering Andreas Heim will speak to the architecture of Unacast's platform and developer-focused processes.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
The vast majority of businesses now use cloud services, yet many still struggle with realizing the full potential of their IT investments. In particular, small and medium-sized businesses (SMBs) lack the internal IT staff and expertise to fully move to and manage workloads in public cloud environments. Speaker Todd Schwartz will help session attendees better navigate the complex cloud market and maximize their technical investments. The SkyKick co-founder and co-CEO will share the biggest challenges uncovered by the company's [2017 survey](https://offers.skykick.com/top-cloud-challenges) of North American business, sales and IT leaders.
When applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. Learn the steps so your team's apps not only function but also can be monitored and understood from their machine data when running in production.
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.