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Observability is not one size fits all

Roles for data in your application development and infrastructure. By Iain Chidgey, Vice President EMEA, Sumo Logic

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Generalists vs specialists: Different approaches to IT monitoring

When a company is considering a network monitoring solution they must take into consideration the skill sets and capabilities of their own IT team to make sure they find the right solution that fits their needs. By Martin Hodgson, Head of UK & Ireland, Paessler AG.

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Limiting the use of Machine Learning & Artificial Intelligence for better results

Machine learning (ML) has been often touted as the big thing that can solve nearly every problem. ML hype has washed over all walks of life - from business to academia. However, it has caused tunnel vision as businesses try to apply machine learning to context where other solutions would work better. By Juras Juršėnas, Chief Operations Officer at Oxylabs.io

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The revolution in IT service management is a big bonus for boardrooms

Powerful new allies have emerged for boardrooms looking to streamline IT service management and reduce costs. By Mark Twomey, CEO, Xcession.

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Lessons from the kitchen: An introduction to Value Stream Management

The need for value stream visibility is not a nice-to-have, it is a business necessity whether you are running a kitchen or leading a digital transformation. By Andrew Davis, Copado.

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The new era of digital experience management

Throughout the past year, the series of lockdowns and continued uncertainty have brought new focuses under the spotlight. Indeed, the pandemic has not only led to a preoccupation with public health, but has also dramatically altered the way people work, live and interact, with digital experiences brought to the fore front. Naturally, this has influenced customer behaviour. By Ash Finnegan, digital transformation officer, Conga.

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Ziften’s endpoint protection platform uses proprietary machine learning in all phases of the...
Findings reveal DevOps, DevSecOps, and AIOps adoption increased while mainframe security remains a...
Syniverse has published the findings of research conducted by Omdia into the concerns and...
To accelerate enterprises’ readiness to further connect and support AI and non-AI workloads,...
Greater Anglia turns to Toshiba’s AI solutions to enhance train timetabling and improve customer...
Boost your data in three steps. By Benjamin Ross, Director, Delphix.
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Docker on IoT devices

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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