Tag: Computer Weekly

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Upcoming feature: Storage requirements for AI, ML, and analytics

For Computer Weekly, I am writing a feature looking at the storage requirements for AI, machine learning and analytics technologies.

This will include:

the demands these technologies make on storage infrastructure

The types of storage are best for the varying workloads in these areas (file, block, object, cloud

What storage vendors recommend for AI/ML/analytics use cases, and by workload

The deadline for leads is Wednesday, 16 March, with interviews the week after.

Please get in touch via the usual email address.

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Upcoming feature: navigating cloud computing costs

For Computer Weekly, I am writing this feature:

Cloud computing is often held to be the way to save on IT infrastructure costs. But do the cost savings actually stack up? And do IT departments have the skills and resources to fully cost up the different options available from cloud providers?

The article will ask:

  • What are the key challenges in cloud cost management? And what underlies them? (in terms of the structure of the market, key cloud providers etc)
  • What are the key planks of an optimised cloud purchasing strategy?
  • What vendors or services can help manage cloud costs, and how do they do this?

More detailed questions will be supplied to experts offering comment. We want to include storage costs in the article.o

Please respond with any leads by Tuesday 8th Feb, 1700hrs; all interviews will need to be completed by Friday 11 February.

Please get in touch via the usual email address.

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Computer Weekly storage features: October 2021

I am currently working on the following features, and would appreciate technical and other background material (generally, CW does not quote vendors:)

Five things you need to know about hybrid cloud in 2021 (deadline for input: 7th October)

How is hybrid cloud is seen by customers and vendors currently?

  • How is hybrid cloud used?
  • What are the top use cases for hybrid cloud deployments?
  • What are the limitations of hybrid cloud? What does it actually mean in practice?
  • What are the pitfalls of a hybrid cloud architecture?
  • What use cases are least suited to hybrid cloud?
  • Where next for hybrid cloud? (possibly more widespread use of containers allowing for bursting to the cloud as an easier option than currently?)

5 ways HCI has changed in 2021 (deadline: 20 October)

Hyper-converged infrastructure seems to be here to stay as an on-prem solution. But how is it changing in 2021 to meet new IT trends?

Areas could include:

  • HCI being used with containers
  • Being able to scale storage and compute independently (they’re calling it ‘disaggregation’)
  • Vendors dropping products (eg, NetApp)
  • HCI as a service (may be available from many vendors with a consumption model)
  • HCI at the edge

Five reason customers repatriate data from the cloud (deadline: 3 November)

Why do businesses repatriate data from the cloud?

Restoring backups/business recovery is the obvious one, but analytics and possibly regulatory investigations / compliance are others.

The piece will set out the main reasons, and look at the mechanics and costs of data repatriation too.

As ever, please email any leads or submissions.

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Computer Weekly commissions: October 2021

I am working on the following articles, which will appear in Computer Weekly in October:

Cloud DR: DIY or Disaster Recovery as a Service

The cloud is now the main backup destination for a growing number of businesses. And the range of businesses offering disaster recovery as a service is growing too.

But is disaster recovery as a service (DRaaS) always the best option? Or is it better to develop a solution in house, using off the shelf (cloud) technologies?

The piece will look at the benefits of DIY approaches, and the drawbacks, and compare these to the benefits (and drawbacks) of DRaaS. The piece will also summarise the range of DRaaS services on the market, and set out the best use cases for each.

I’d welcome analyst comment and/or industry case studies for this piece. Deadline for leads: Thursday 16th September.

Where next for the data warehouse, and what might replace it?

Has the conventional data warehouse had its day? And what could replace it? Conventional, on-premises data warehouse technology now competes with a range of emerging technologies, including data virtualisation, “data lakehouses”, and cloud data warehouses.

What role will these newer technologies play? Are they likely to supplant the conventional, on-premises, datacentre approach, and if so why?

I am keen to speak to analysts and consultants in order to form a market overview, but also CIOs whose preferences are either for the new, or indeed the conventional, technology. The deadline is Wednesday 22nd September.

For either article please get in touch in the first instance by email.

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New storage articles for Computer Weekly

I am working on two new feature articles for Computer Weekly. There is some overlap between the two topics, so I am posting them both here.

The topics are:

Key questions to ask suppliers about storage-as-a-service consumption models

5 things you need to know about cloud file services

For the first piece, this is a brief for CIOs and their teams sourcing cloud storage. We will come up with a ranked list of questions IT teams should ask vendors. These could include:

  • payment models
  • how usage is calculated
  • how does pricing change as demand goes up or down
  • how can I upgrade systems
  • minimum contract commitments
  • what is the maximum (or minimum) storage capacity the vendor can offer?

There might be other points that could be added to the list. I cannot use vendor quotes directly but can look at research, and take analyst comments.

For the second piece, we are aiming to distinguish between fully featured cloud file services, including those from the “big three” and file and sync type services such as Box or Dropbox.

The piece will set out the benefits and limitations of cloud-based file services and explain how they are used. And the article will identify the main vendors, both pure play and those that are part of a wider cloud (storage) offering.

The deadline for leads and content is 1700hrs, Tuesday 17th August. These articles will be published in September. If you can help, please submit any ideas or content by email .

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Upcoming article for Computer Weekly: disaster recovery for small businesses

In this piece, we will look at best practice for SMEs when it comes to disaster recovery.

The piece will look at the importance of an initial plan, how to assess risks and create a relevant RTO and RPO for the organisation, the DR options offered by cloud storage and applications, and the growing role played by disaster recovery as a service.

Contacts and supporting information needs to reach me by Friday 23rd July. If you can help, please submit any ideas or content by email .

I am especially interested in hearing from SMEs about how their DR planning works.

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Upcoming feature: NVMe over Fabric: the latest state of play

For Computer Weekly, I am writing an explainer on NVM over fabrics.

The piece will cover:

  • what’s driving IT departments to deploy NVMe over fabrics
  • what are they
  • how and why are they used
  • what are their benefits and downsides
  • an overview of who makes what (including point NVMe over fabrics manufacturers, array makers etc.)

I am looking for background information, use cases, case studies and overviews of the market. I am happy to consider vendor information, but can’t promise to use direct quotes.

The deadline for submissions is 12 noon London time, Thursday 24 June.

Please submit any ideas or content by email .

Many thanks

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Upcoming article: Real Time Analytics

I am currently researching a feature on real time analytics for Computer Weekly. This will form the introduction to an eBook, to appear in a few weeks’ time.

The piece will cover current trends in real time analytics. What is driving their use, which technologies are involved, how are they deployed, and above all, what are the business benefits?

The piece will establish what real time means, in terms of analytics, and how organisations structure their data collection, analysis and management processes, around the idea of a constant stream of data. And it will also examine the barriers that need to be overcome, to make all this work.

I am keen to hear from potential contributors — analysts, integrators and consultants, and potentially vendors (at the chief data scientist/CIO/CTO level – no sales people please) and from organisations using real time data.

If you have a suggested interviewee, please drop me an email with a few bullet points setting out their points of view, and availability for interviews from June 1st.

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Upcoming data storage articles for Computer Weekly

I am looking for input for two upcoming articles for the data storage section of Computer Weekly.Article 1: How has backup changed, post the pandemic?

In this article we will look at how the changes in working patterns during the pandemic, including home working, have changed backup requirements, practices, and technology.

Areas we will look at include:

  • Backing up remote and employee-owned devices
  • Backing up SaaS applications and cloud instances
  • The impact on maintenance of IT, especially data centres
  • How remote / home working impacts restore and recovery processes

This is not an exhaustive list, and I am open to other suggestions, as well as examples.

The deadline for leads or information is 1700hrs, Friday 14th May.

Article 2: Storage metrics explained

What are the main storage metrics used in the industry? What do they mean, and how do we use them? This explainer piece will set out the most important terminology. We are also interested in new and emerging metrics, maybe those driven by new types of storage technology.

The deadline for leads or information is 1700hrs, Tuesday 18th May.

To submit information or interview leads for each article please use these links to send an email:

Pandemic and backup tech

Storage metrics

Many thanks.

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Upcoming article: Computational storage: One year on

For Computer Weekly, I will be taking another look at computational storage.

Just over a year ago, I wrote this piece setting out some of the basics of the technology.

For this follow up article, we will revisit the advantages of computational storage, the technologies it draws on, and the reasons organisations might use it.

We are particularly interested in any trends around the technology. Is take up or acceptance increasing? Have the drivers and use cases changed? And how has the market matured – have new vendors emerged, or existing vendors, expanded their offerings?

In addition to information about vendor offerings, and commentary from consultants or analysts, I’m keen to see any real-world case studies of computational storage deployments that have gone live within the last year. Ideally, these should be UK based, or internationally known organisations.

The deadline for submitting leads is 1700 London time on Thursday 15 April. As ever, the best format submissions is by email