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Docker 4X5. Part one of this four-part discussion by five experts looks at Docker basics.

Is Docker ready for prime time? An expert panel discusses the pros and cons, and the importance of the ecosystem around Docker containers.

The panel discusses how combining containers like Docker with continuous delivery pipelines provides the ability to deliver small, incremental changes into production.

The panel discussion concludes with a look at the artefacts within a Docker container.

Virtual content delivery network: Network virtualization

Interface for power management in network function virtualization environments - Green abstraction Layer version 2

Signalling architecture for virtualization of control network entities

IDC released its Worldwide Quarterly Server Tracker on September 2, 2009, which reports that "factory revenue in the worldwide server market declined 30.1% year over year to $9.8 billion in the second quarter of 2009 (2Q09)."

According to IDC, this is the lowest quarterly server revenue since they began tracking this market in 1996.

The obvious implication is that the economy has been awful and companies have been avoiding / deferring IT spend. But beyond that it seems that virtualization has both benefited from and contributed to this decline.

With a single server now able to run multiple workloads, it seems inevitable that the server footprint is destined to continue getting smaller within the corporate data center. But the benefits of virtualization do not stop with simply running more apps on one machine; the whole datacenter becomes more agile, more flexible to deal with unexpected changes in workload.

The ability to get more from fewer boxes is certainly a contributing factor to less boxes being bought. And tight budgets in the 2009 economy have certainly contributed to IT managers seeking out less costly options.

It will be interesting to see how the server market rebounds.

Andy Patrizio in his InternetNews.com blog quotes Rahul Agarwal, co-founder of Infiniti Research. Within the dismal sales figures, Agarwal notes that both Gartner and IDC report that unit costs are going up for server sales. Agarwal believes that this is due to sellers trying to widen margins by selling more feature-rich machines:

Our view is that to offset this volume pressure, hardware vendors will be
forced to improve unit margins by building in virtualization capability, memory
and I/O interfaces in the hardware.

So the strategy to improve revenues will enable IT departments to further utilize virtualization, continuing the trend toward fewer individual servers.

Agarwal noted that many servers out there are quite inefficient, particular amongst small-to-medium sized businesses, so the more successful players will focus on consolidation to increase efficiency and reduce the footprint. He says:

The server market of tomorrow will be a value game and not a volume game.

With containers, you can build once, run anywhere – no worries about underlying dependencies.

The post How containers have moved us to next-gen virtualization appeared first on The Data Roundtable.

Produced by WIRED Brand Lab with AWS | When AWS realized their clients' needs for computation were outgrowing its cloud virtualization's capabilities, their engineers rebuilt it by creating custom, original silicon chips, pioneering a hybrid software and hardware model called NITRO. NITRO provides dedicated hardware, increased performance, and security at a cheaper cost to their customer base — and is programmed for evolution as the virtualization landscape continues to change.

A virtual machine (VM) migration from a source virtual machine monitor (VMM) to a destination VMM on a computer system. Each of the VMMs includes virtualization software, and one or more VMs are executed in each of the VMMs. The virtualization software allocates hardware resources in a form of virtual resources for the concurrent execution of one or more VMs and the virtualization software. A portion of a memory of the hardware resources includes hardware memory segments. A first portion of the memory segments is assigned to a source logical partition and a second portion is assigned to a destination logical partition. The source VMM operates in the source logical partition and the destination VMM operates in the destination logical partition. The first portion of the memory segments is mapped into a source VMM memory, and the second portion of the memory segments is mapped into a destination VMM memory.

Methods and systems for managing a removal of a passthrough device from a guest managed by a hypervisor in virtualized computing environment. A hypervisor receives a request from the guest for access to a passthrough device. The hypervisor sets, in a memory, a last accessed state associated with a virtual machine executing the guest. The hypervisor forwards the request to the passthrough device and configures the host CPU to send a subsequent access request directly to the passthrough device. In response to a virtual machine reset, the hypervisor clears the last accessed state and instructs the host CPU to send a post-reset access request to the hypervisor.

A system and method for reordering storage levels in a virtualized environment includes identifying a virtual machine (VM) to be transitioned and determining a new storage level order for the VM. The new storage level order reduces a VM live state during a transition, and accounts for hierarchical shared storage memory and criteria imposed by an application to reduce recovery operations after dynamic resource allocation actions. The new storage level order recommendation is propagated to VMs. The new storage level order applied in the VMs. A different storage-level order is recommended after the transition.

A hypervisor and one or more guest operating systems resident in a data processing system and hosted by the hypervisor are configured to selectively enable or disable branch prediction logic through separate hypervisor-mode and guest-mode instructions. By doing so, different branch prediction strategies may be employed for different operating systems and user applications hosted thereby to provide finer grained optimization of the branch prediction logic for different operating scenarios.

Various technologies and techniques are disclosed for using transactional memory hardware to accelerate virtualization or emulation. State isolation can be facilitated by providing isolated private state on transactional memory hardware and storing the stack of a host that is performing an emulation in the isolated private state. Memory accesses performed by a central processing unit can be monitored by software to detect that a guest being emulated has made a self modification to its own code sequence. Transactional memory hardware can be used to facilitate dispatch table updates in multithreaded environments by taking advantage of the atomic commit feature. An emulator is provided that uses a dispatch table stored in main memory to convert a guest program counter into a host program counter. The dispatch table is accessed to see if the dispatch table contains a particular host program counter for a particular guest program counter.

Implementing Cisco Enterprise Network Core Technologies v1.0 (ENCOR 350-401) is a 120-minute professional-level exam associated with the CCNP and CCIE Enterprise Infrastructure certifications. The exam tests a candidate's knowledge of implementing core enterprise network technologies. This course helps candidates to prepare for the first three domains of this exam: Architecture, Virtualization, and Infrastructure. Instructors Kevin Wallace and Charles Judd show how to design enterprise architecture, including planning for all the necessary services and capacity. They also cover the various types of virtualization, from virtual machines and switches to entire virtual networks, and review the infrastructure technologies you typically see in enterprise networks, such as MSTP and RSTP, IPv4 and IPV6 routing, WLANs, Dynamic NAT, and more.

This course was created by Kevin Wallace Training. We are pleased to offer this training in our library.

Redbooks, published: Wed, 29 Apr 2020

This IBM® Redbooks® publication provides a broad explanation of the kernel-based virtual machine (KVM) on IBM Z® and how it can use the z/Architecture®.

This article provides the basic steps to use N-Port ID Virtualization (NPIV) technology in a kernel-based virtual machine (KVM) guest. Additionally, the article also provides the significance of NPIV allowing multiple guests to make use of a single physical host bus adapter (HBA) to access multiple storage devices.

In the early 2000s, VMware introduced the world to virtual servers that allowed IT to make more efficient use of idle server capacity. Today, Run:AI is introducing that same concept to GPUs running containerized machine learning projects on Kubernetes. This should enable data science teams to have access to more resources than they would normally […]