Tag: storage management

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Upcoming article: AIOps and storage management

In this Computer Weekly article we will look at AI ops tools, and what they do.

The piece will focus on the main storage vendors (Dell, HPE, Hitachi, Huawei, IBM, NetApp, and Pure). It is largely a follow on to this piece from a while back.

For each vendor we will be covering:

  • What the vendor’s AI ops tools are called
  • What they work with the vendor’s storage product range
  • How they work and the functionality they offer

This is a short article, and I am looking for written contributions, or specific links to vendor material, no later than 1700hrs GMT on Friday 22 November.

To contribute to this piece, please contact me by email.

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Computer Weekly features: August 2022

I am working on the features below for Computer Weekly (for late August/early September publication). Deadlines for contributions noted against each article.

Data classification policy

How do you write a data classification policy, and more importantly, what should it cover?

In this feature we will look at:

  • What do we understand by data classification?
  • What is it used for? (eg for, backups, compliance, storage management and budgeting)
  • What does such a policy take into account?
  • What are the benefits of data classification?
  • What are the key elements of a data classification policy, and how would you start drafting one?

Deadline for contributions: Friday 5th August

How do we measure cloud storage TCO?

What are the key things to take into account when working out cloud storage costs as a total cost of ownership?

This piece will drill down into the main cost areas for cloud storage services. These could include capacity, storage tiers, AZs and egress costs, though that is not an exhaustive list. The piece will also compare these costs with the costs of on-premises storage technology.

In addition, we will look at which workloads are the most (cost) effective in the cloud, both for long term and “boost” usage and which, for now, are not.

Deadline for contributions: Friday 12th August.

Cloud bursting 

This piece is an “explainer setting out when, why and how firms will “burst” their workloads to the cloud. The piece will cover:

  • What is cloud bursting?
  • What are the benefits of cloud bursting?
  • What type of workloads can benefit from cloud bursting?
  • What are the limits / obstacles to cloud bursting?
  • What workloads are never (or almost never) likely to use cloud bursting?
  • How difficult is cloud bursting?

Deadline for contributions: Friday 19th August.

For all these articles please contact me by email in the first instance, if you are contributing to a specific article please note that in the subject line. If you are responding on behalf of more than one client, please use separate emails. Many thanks.

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Upcoming feature: Storage for AI, ML and analytics

For Computer Weekly my next feature will look at the specific demands placed on storage architecture by artificial intelligence, machine learning, and analytics.

The piece will ask:

What different approaches to providing storage are there for these technologies? 

What limits, performance considerations and bottlenecks exist with the different approaches?

What ways of providing storage for analytics are we likely to see in future?

The article will cover both on-premises and cloud-based storage, where relevant. I’m keen to include some real-world use cases if possible.

I am open to comment from industry professionals, consultants, analysts and CIOs working with AI. ML and analytics.

Deadline for leads: 1700hrs BST, Tuesday 23 June. As ever, please email in the first instance.