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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.
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The Digitalisation World Video magazine contains the latest Zoom interviews with experts in the industry.
Watch how AppDynamics synthetics monitoring proactively ensure application performance by - Providing availability anytime from locations around the world with browser synthetic monitoring - Using the AppDynamics intelligent cloud agents to monitor Business Transaction performance from browser to back-end, establish performance baselines, manage third party SLAs, and benchmark the competition - Measuring entire multi-page workflows simulating a complete customer journey including form data...
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Recent research from Pegasystems revealed three key components of a successful intelligent automation project. Mans af Klercker, Global Sales Business Systems Specialist at PegaSystems, discusses these with DW, as well as explaining the company’s recent Pega Process AI Platform launch.
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Gregg Ostrowski, Regional CTO at Cisco AppDynamics, explains how full stack observability offers many benefits to organisations struggling to make sense of complex, likely hybrid infrastructure, as they work towards digital transformation.
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Guy Nadivi, Senior Director, Marketing, Ayehu, and host and producer of Intelligent Automation Radio, emphasises how crucial it is that end users embrace the opportunities of intelligent automation (IA). Firstly, he looks at the consequences of not implementing IA. Secondly, he offers some advice on how to optimise IA projects.
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Paul Bevan, Navigator, Research Director: IT Infrastructure at Bloor Research, provides some great insights into the state of the AIOPS market, and its place in the overall Ops landscape, covering cloud, observability and Digital Operations Management along the way.
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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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