Monitor and troubleshoot with Anypoint Runtime Manager 2.0

With Anypoint Runtime Manager 2.0, launching early next month, MuleSoft customers can monitor, troubleshoot, analyze and manage applications and APIs securely deployed in a public or private cloud or on-premises, in a sandbox, staging or production environment from a single pane of glass.
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Spotlight

OTHER ON-DEMAND WEBINARS

2018 Cloud Trends: State of the Cloud Report

flexerasoftware

The 2018 State of the Cloud Report includes new insights on cloud adoption trends based on the responses of nearly 1,000 IT professionals. We highlight the most interesting cloud trends that will help you evolve your cloud strategy, deliver on your 2018 cloud goals, and mobilize your internal stakeholders for cloud initiatives. against others of similar size, develop your 2017 cloud strategy and goals, and mobilize your internal stakeholders for cloud initiatives.
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Shared Block Storage in the Cloud is Nothing New

Shared block storage powers databases, containers, machine learning, and file systems—exactly the kind of business-critical workloads you want to run on a well-proven system.Watch our webinar to see how Cloud Volumes ONTAP has been providing shared block storage in the public cloud for years.
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Dive Deep into VMware Cloud Foundation with Our On-Demand Webinar

vmware

The simple, agile and secure hybrid cloud platform makes deploying and running a hybrid cloud a breeze by providing integrated software solutions, complete with cloud infrastructure and cloud management services that enable enterprise applications to run in public and private environments. For those looking for a crash course on VMware Cloud Foundation, our latest on-demand webinar offers just that.
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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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