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Our people regularly provide input and content to industry publications and event organizers to share their latest insights.
As mentioned previously, Data as a Service (DaaS) can be used to provide a single source of authoritative (or golden) data for use in a firm’s critical applications, particularly when data is needed from multiple sources or it is ‘siloed’ in the organization.
Large-scale investment in traditional service management is now unwise. This is because technology service management, is no longer a standalone constraint to creating business value. Executives should instead focus on building a flow framework as part of an operating model that connects business product development to technology portfolio management, Agile programs, DevOps, and cloud-based consumption. This change will also result in moving the organizational focus from running development projects to managing a lifecycle of business products. Selective investment in critical capabilities that stimulate the flow of work is still required but not in the same order of magnitude.
When the first shipping container was patented in 1956 by Malcolm McLean , his intention was straightforward cost saving. He did indeed reduce the cost of loading cargo from $5.86 per ton to $0.16. But, more than this, his shipping containers became an international standard, allowing goods to be transported and warehoused across the globe – and bringing the most radical change to manufacturing since the Industrial Revolution.
There are currently more than 51,000 jobs posted on LinkedIn for DevOps.
We are excited to announce that we have been selected by the Pittsburgh Technology Council Tech50 Awards as a finalist in the Culture Leader of the Year Category.
Data as a Service (DaaS) can be used to provide a single source of authoritative (or golden) data for use in a firm’s critical applications. Here, a logical layer of the data (often in-memory for quick access) can serve up data that has been verified, defined, and described with metadata from source systems. This provides data that is readily understood and has unique and unambiguous meaning with the context in which these data is known and used.
When I was involved in my first enterprise PC roll out 25 years ago, I was always impressed by antivirus software. Here was a central counterintelligence source of attack profiles and signatures with a defence against them. It was so much cleverer than the solitaire game we all played on the PC - teaching users mouse skills, we argued.
Those of us in the IT world have been hearing about the notion of ‘containers’ popping up a lot lately. Whilst containers as a concept has been around for many years, the current surge of adoption has largely been driven by the existence of Docker (a way of containerising and running containerised software) and, more recently Kubernetes (a way of managing containers at scale). Global enterprises, as well as start-ups have started adopting containers to speed up their Business As Usual processes. We’ve had a lot of client interest in integrating containers, so you may be wondering why are they resurfacing now, what exactly are they and are they beneficial to your business?
Let’s take a closer look.