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Dynatrace and JFrog announce new integration to accelerate DevOps innovation

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Combining Dynatrace’s automated and intelligent observability and DevOps orchestration with JFrog’s CI/CD helps teams deliver better software faster.

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NEWS

Preparing the perfect software

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Observability leader launches Pixie Auto-Telemetry, Errors Inbox, Network Observability, Custom Visuals, New Relic Startup Edition, and New Relic Student Edition to help engineers plan, build, deploy and run more perfect software.

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Digital.ai introduces AI-powered innovation platform

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The Digital.ai Platform features groundbreaking AI- and machine learning-based analytics to predict and prevent issues impacting software delivery reliability, efficiency, and customer experience.

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Risk from AI 'irresponsibility

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Research examines how global organizations are deploying AI and progress on ensuring AI is used ethically, transparently, securely and in their customers’ best interests.

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Extreme introduces cloud-native network visibility platform

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Extreme Network has ntroduced the Extreme 9000 series, featuring the Extreme 9920 intelligent network visibility platform.

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Paessler partners with Rhebo

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Paessler AG announces a partnership with Rhebo to provide joint customers with all-round monitoring of their IT and OT environments.

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Amido research shows 88% of retail tech decision makers (TDMs) see the potential of the likes of...
New platform module provides continuous runtime application security for production and...
NetApp has signed a definitive agreement to acquire CloudCheckr, a leading cloud optimization...
Dynatrace will deliver its observability platform for Google Cloud through the Google Cloud...
Organisations around the world say remote working increases security risks
Data Science Platform boosts infrastructure behind NetApp’s Active IQ solution, responding in...
Latest Video

How to Adopt an AIOps Strategy: CA Interview with Chris Kline

CA Technologies’ Chris Kline shares how to adopt an AIOps strategy in a DevOps world. Chris shares how AIOps enables a move away from siloed operations management and provides intelligent insights that drives automation and collaboration for continuous improvement. Since AIOps leverages big data, data analytics and machine learning to provide insight and enable a higher level of automation, no longer does IT Ops need to depend extensively on human operators for the management tasks that modern infrastructure and software require.

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