Stories by Mark Jobbins
Pure Storage's six essential technology trends to watch in 2022
While COVID-19 marked 2020 and 2021, 2022 is set to be a year of recovery with organisations settling into new ways of working.
Exploring the move from virtual machines to containerisation
Containerisation is becoming the core technology for running business applications faster with greater reliability in the era of digital transformation.
Can Australia’s infrastructure keep up with the rise of the flexible economy?
A key challenge in the digitally-led flexible economy is the need for scalable infrastructure that can keep up with business data demands.
Why Australia must fill the technology skills gap to remain competitive
As more organisations accelerate digital transformation, the technology skills gap continues to widen — impacting Australia’s ability to compete globally.
How tech debt from legacy solutions will impact business' bottom line
Tech debt is increasing cyber risk and impacting organisational performance, with 40% of IT balance sheets accounted for, says McKinsey.
How to ensure business-critical applications are always on
Running disparate systems on a single architecture minimises complexity while modernising IT, writes Pure Storage VP and field CTO Mark Jobbins.
How to recover from a ransomware attack faster and return to business acceleration
When an organisation can recover quickly from a ransomware attack, organisations can accelerate growth safely and reliably.
Managing storage across multiple clouds
Containerised software can run reliably from one computing environment to another, making containers the ideal choice for a multi-cloud environment.
How cloud silos are holding organisations back
Cloud silos can hinder value extraction, cost minimization & fast business operations. Unifying cloud silos requires a robust data management strategy.
Why NVMe is headed for the mainstream this year
NVMe revolutionises tech industry, promising faster data access and revenue boost for enterprises in 2019.
How rethinking data storage can unleash AI’s potential
With data, AI is just a bunch of fancy code. But in order to capitalise on data’s potential, we need to look critically at how it is stored.