Deep Dive into Citrix Workspace Cloud: A Technical Tour

Ever wondered about reducing your cloud cost, where your company pays a huge amount every month. Day by day the cost increase exponentially. As an architect, if you can design your project where you can save cost to the company as much as 90% then you are in for a treat from your company. In this webinar, we will be looking into a real-time example where you can use different serverless technologies available in Azure to save your cloud cost.

Celigo integrator.io is the only integration platform that offers three options for integrating cloud applications: Using pre-built integrations that are offered as managed SaaS apps Creating your own integrations using intuitive wizards, menus, and field mapping guides Importing data files into supported cloud applications integrator.io was designed to allow both tech-savvy business users and operations staff to easily build integrations. Non-technical users can create simple integration flows between different applications or use the pre-built SmartConnectors to connect two applications, such as NetSuite and Salesforce, without IT support. Developers can use the sophisticated wizards and menus to quickly integrate apps using a variety of protocols.

Kubernetes adoption is growing and more companies are leveraging Terraform. At RightScale, we combine Kubernetes, Terraform, RightScale, and cloud. Find out how we are combining these solutions to create a fully automated DevOps process.

As data and analytics environments become increasingly complex, organizations can no longer afford to perform many operations manually. According to TDWI research, automation (in general) is one of the top three priorities for analytics. We see automation occurring throughout the data and analytics life cycle. Automation increasingly leverages embedded AI/ML algorithms (i.e., infused in the software) to help perform tasks such as profiling and cleansing data, identifying sensitive data, data mapping, surfacing insights, or building machine learning models.