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Ubuntu Released a Version with Customized Kernel for AWS
Posted by Augusto Alvarez on April 18, 2017
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Linux virtual machines in a cloud service like Amazon Web Services (AWS) or Microsoft Azure have become a very common practice. You can find pretty much anything that you need regarding Linux applications, including appliances or even PaaS technologies that actually work with Linux in the backend. Now Ubuntu has decided to go a bit further than that and offers an OS version with a customized kernel for AWS.

Ubuntu with Amazon Web services

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VMware’s Photon and containers in VMware
Posted by Gary Williams on April 12, 2017
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The past month has been categorized as something of a performance and upgrades challenge as one of the constant calls I hear is “application X is going to slow”, of course, a month ago it was fine but today it isn’t and normally this is just down to increasing load.
One of the common fixes for increasing load is to add more vCPU and RAM but often that can cause its own set of problems especially when NUMA boundaries are crossed and when vCPU contention pushes things a little too far.
The second part of the challenge is the upgrade challenge where various applications need upgrading but there are dependency chains to take into account, this is the sort of thing where application X needs a very specific version of application y. In those cases, an upgrade is much easier to do by reinstalling the OS and starting again then transferring the data across!

As a potential solution to these issues that I’ve been exploring is Docker on VMWare’s Photon OS.

 VMware Photon logo

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Data Management Moves to the Fore. Part 3: Data Management Requires Storage Resource and Services Management Too
Posted by Jon Toigo on April 7, 2017
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Previously, we discussed how data might be classified and segregated so that policies could be developed to place data on infrastructure in a deliberative manner – that is,  in a way that optimizes data access, storage resources and services, and storage costs over the useful life of the data itself.  From the standpoint of cognitive data management, data management policies constitute the instructions or programs that the cognitive engine processes to place and move data on and within infrastructure over time.

Cognitive Data Management Facility

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Configuring SharePoint 2016 App Catalog
Posted by Mikhail Rodionov on April 6, 2017
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In my previous blog post, I covered SharePoint 2016 installation process, my next logical step after that was to configure SharePoint app catalog so that I can add K2 for SharePoint app and as I covered this process earlier on my personal blog, I expected this to be a small task. Indeed, I had created it following steps from my old blog post in just minutes, but, alas, I run into loads of warnings while running K2 for SharePoint AppDeployment.exe. I sorted most of them but after seeing extra warnings telling me that additional configuration is required just because I’m using HTTP instead of HTTPS I decided that it is better to re-create my app catalog using HTTPS.

App deployment configuration analysis

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Data Management Moves to the Fore. Part 2: Data Management Has Many Moving Parts
Posted by Jon Toigo on April 4, 2017
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In the previous blog, we established that there is a growing need to focus on Capacity Utilization Efficiency in order to “bend the cost curve” in storage.  Just balancing data placement across repositories (Capacity Allocation Efficiency) is insufficient to cope with the impact of data growth and generally poor management.  Only by placing data on infrastructure in a deliberative manner that optimizes data access and storage services and costs, can IT pros possibly cope with the coming data deluge anticipated by industry analysts.

The problem with data management is that it hasn’t been advocated or encouraged by vendors in the storage industry.  Mismanaged data, simply put, drives the need for more capacity – and sells more kit.

COMPONENTS OF A COGNITIVE DATA MANAGEMENT SOLUTION

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Azure Monitor Goes Live in General Availability
Posted by Augusto Alvarez on April 3, 2017
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Microsoft has just released to the public, and with a stable version (preview was announced in September 2016), Azure Monitor. This platform represents a set of features and capabilities within Azure to provide detail logs, metrics and diagnostic about the workloads in the Microsoft public cloud.

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Azure Backup Now Supports Linux Applications Protection
Posted by Augusto Alvarez on March 29, 2017
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On this blog, we reviewed a couple of times Azure Backup capabilities and integration with, what Microsoft considered a while back, strong rival: VMware (“Azure Offers Backing Up VMware VMs with a Freeware Tool”). And now they added one more interesting and highly valuable feature, Azure Backup will be able to support backing up applications in Linux.

Microsoft Azure with Linux

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Data Management Moves to the Fore. Part 1: Sorting Out the Storage Junk Drawer
Posted by Jon Toigo on March 28, 2017
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Most presentations one hears at industry trade shows and conferences have to do, fundamentally, with Capacity Allocation Efficiency (CAE).  CAE seeks to answer a straightforward question:  Given a storage capacity of x petabytes or y exabytes, how will we divvy up space to workload data in a way that reduces the likelihood of a catastrophic “disk full” error?

Essentially, from a CAE perspective, efficiency involves balancing the volume of bits across physical storage repositories in a way that does not leave one container nearly full while another has mostly unused space.  The reason is simple.  As the volume of data grows and the capacity of media (whether disk or flash) increases, a lot of data – with many users — can find its way into a single repository.  In so doing, access to the data can be impaired (a lot of access requests across a few bus connections can introduce latency).  This, in turn, shows up in slower application performance, whether the workload is a database or a virtual machine.

Survey of 2000 company disk storage envitonments

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Data Management Moves to the Fore. Introduction
Posted by Jon Toigo on March 23, 2017
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Data Management Moves to the Fore

To the extent that the trade press covers, meaningfully, the issues around digital information processing and technology, it tends to focus rather narrowly on the latter:  infrastructure.  The latest hardware innovation — the fastest processor, the slickest server, the most robust hyper-converged infrastructure appliance — tends to be the shiny new thing, hogging the coverage.

Occasionally, software gets a shot at the headlines:  hypervisors, containers, object storage systems, even APIs get their 10 minutes of fame from time to time.  But, even in these days of virtual servers and software-defined networks and storage, software is less entertaining than hardware and tends to get less coverage than tin and silicon.

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New Big Data Services for Azure in Europe: Data Lake Analytics and Data Lake Store
Posted by Augusto Alvarez on March 21, 2017
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Microsoft continues the expansion of its services for Azure in Europe, this time with new capabilities related to Big Data: Azure Data Lake Analytics and Data Lake Store. These new services appear as server-less options for companies that already have resources in Azure and a large amount of data, allowing them to transform that data into valuable information.

Azure Data Lake Analytics with Data Sources

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