Enterprise Infrastructure and Applications in the Hybrid Cloud Architecture

Enterprise Infrastructure and Applications in the Hybrid Cloud, will focus on common challenges that companies face when building a Hybrid cloud solution that marries rich infrastructure technologies and complex application environments with cloud and on-premises components.
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Spotlight

OTHER ON-DEMAND WEBINARS

How to Declutter Your Company Data Forever

Discover, Map, Classify any data anywhere and start to properly govern your data for all purposes.Most modern data challenges revolve around visibility and order of data. Once you have full visibility into your data and you have properly mapped it everything becomes easierWatch the on-demand webinar to find out how declutter your data forever using: ic-text-arrow-2 Discover structured and unstructured data in the cloud and on-premises.
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Why Dynatrace scored highest in 5 of 6 Gartner APM Critical Capabilities Use Cases

In Gartner’s most recent Critical Capabilities for Application Performance Monitoring report, Dynatrace scored highest in five of six Critical Capabilities Use Cases. So how did we do it? We believe Dynatrace took a radically different approach to monitoring and reinvented our platform, designed to meet the needs of today’s dyna
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Securing Your Assets in the Cloud: Best Practices for Businesses

Listen to this on-demand webinar with Mike Saurbaugh, head of security for Corning Federal Credit Union and securitycurrent research director, alongside noted IT security analyst Richard Stiennon and JD Sherry, Trend Micro Vice President of Technology and Solutions, and learn best practices for securing your assets in the cloud.
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How to Modernize Data Lake Technologies with Cloud-Based Solutions

Data lakes based on Hadoop technologies have proved themselves valuable in mission-critical use cases such as data warehousing, advanced analytics, multichannel marketing, complete customer views, digital supply chains, and the modernization of data management.Most Hadoop users are committed to the data lake method of managing data, but they are limited by Hadoop shortcomings in key areas such as cluster maintenance, administration cost, resource management, metadata management, and support for SQL and other relational technologies. Many view cloud-based solutions as the optimal replacement for their data lake, but they are not ready to make such a significant change. The truth is: they don't have to, as the two technologies can coexist.
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