ADS for Cloud applications

Industry’s first cloud-native platform for application delivery, security, and analytics simplifies application architectures across public, private and hybrid clouds.

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Full network lifecycle management

Kaseya is introducing a new release of its Traverse Hybrid Cloud and Data Centre monitoring solution. Version 9.4 introduces advanced automation to provision monitoring of new cloud infrastructure, network devices or applications for full network lifecycle management.

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Providing complete management of applications and infrastructure

New software proactively identifies application performance issues tied to databases and on-premise infrastructure.

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Nuvias launches optimisation and visibility service

New managed service powered by Riverbed offers performance benefits to end users and creates a value-add revenue stream for Nuvias partners.

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Anaplan adds data integration and visualisation choices

Partnerships with industry leaders Informatica and Tableau enhance planning and performance management capabilities with new data integration and visualization options for business users.

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Sphero has simplified its data protection strategy with Rubrik’s Cloud Data Management Platform....
Combined offering brings leading spend optimisation for software, hardware, SaaS, PaaS and IaaS...
Research from CircleCI reveals a disconnect between leaders and developers, impacting business...
Delivering enterprise class multi cloud and cloud native networks.
Two-thirds of European IT departments do not fully understand the needs of their organisations.
Businesses must accelerate the shift to comprehensive Continuous Software Testing in order to...
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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