Digital Newsletter
Each week our editor Phil Alsop rounds up the most popular articles, videos and expert opinions. We compile this into a Digital Newsletter and send it straight to your inbox every week.
Digital Magazines
We'll let you know each time a new edition of Data Centre Solutions is released so that you're always kept up-to-date with the latest and greatest news and press releases.
Video Magazines
The Data Centre Solutions Video magazine contains the latest Zoom interviews with experts in the industry.
John Gentry, Chief Technology Officer and SVP Business Development, Virtana, discusses how AIOPS provides end users with a ‘know before you go’ confidence in terms of how/when/where to move apps into the cloud (or not).
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Jon Cairns, VP, Technical Services at Nexthink, focuses on the challenges IT departments faced during the pandemic when it came to providing an optimised digital experience for a working-from-home workforce and how the lessons learned can better inform the provision and acceptance of technology rollouts into the future.
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Ted Redkar, Chief Product Officer, LogicMonitor, talks about achieving end-to-end observability in the age of digital transformation and technological convergence.
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Pierre Aeschlimann, Principal Strategist, Digital Transformation and Value Realization, Ivanti, talks through the AIOPS fundamentals, emphasising the importance of discovery and dependency mapping (DDM), configuring the data sources, discovering the ITSM pain points and opportunities and the use of agile processes to implement solutions.
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Companies that choose not to consider the AIOps-powered VSM approach are missing a significant opportunity, argues Gaurav Rewari, CTO and GM of AI and VSM at Digital.ai.
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Shaun McGirr, AI Evangelist, Dataiku, says that the standard application of AI to IT operations is to mitigate the “overload of red alerts”: too much noise, not enough signal. This is a valid concern as IT estates grow larger, but the emphasis on individual overload does nothing to address the underlying process issue. Machine Learning needs to be used in the right place and with the right data.
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Docker is an open platform for developers and system administrators to build, ship and run distributed applications. With Docker, IT organizations shrink application delivery from months to minutes, frictionlessly move workloads between data centers and the cloud and can achieve up to 20X greater efficiency in their use of computing resources. Inspired by an active community and by transparent, open source innovation, Docker containers have been downloaded more than 700 million times and Docker is used by millions of developers across thousands of the world?s most innovative organizations, including eBay, Baidu, the BBC, Goldman Sachs, Groupon, ING, Yelp, and Spotify. Docker?s rapid adoption has catalyzed an active ecosystem, resulting in more than 180,000 ?Dockerized? applications, over 40 Docker-related startups and integration partnerships with AWS, Cloud Foundry, Google, IBM, Microsoft, OpenStack, Rackspace, Red Hat and VMware.
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