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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Adding new monitored elements is a long and complicated process. Even the most highly trained and experienced teams find it difficult to sustain consistent observation and service levels across the SAP installation with its accompanying dissimilar system elements. By Heiko Mannherz, Chief Innovation Officer, Avantra.
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Securing the right observability tools will help enterprises get control over their software and spot problems before they become a more widespread issue. By Stela Udovivic, Director of Product Marketing, VMware Tanzu
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The good, the bad, and how to avoid the ugly By Ricardo Negrete, Sr. Director Services and Technology, Virtana.
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One of the more delicate debates in the DevOps world is what observability has to do with monitoring. By Chris Tozzi,, Sumo Logic.
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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. By Shaun McGirr, AI Evangelist, Dataiku
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