Chris Kappen, VP of Operations at Epicosity, joins the Agency Spotlight to share how their agency's client reporting process, as well as their ability to surface and act on the right performance insights, has changed since implementing Databox.

Join Galo Gimenez, Distinguished Technologist and Platform Architect at HP, Inc to explore how they leveraged API Management for successful implementation of Microservices and APIs to enable new levels of IT agility, scale, and innovation.

Organisations moving to agile and DevOps practices face the challenge of testing their software without slowing down their deployment process. With limited time to manually test during a continuous pipeline, automated testing coupled with CI/CD infrastructure like Jenkins is the preferred method of ensuring quality at speed. With Jenkins, ReadyAPI can help teams deliver continuous API quality — right inside their pipeline.

The Talend API Tester is designed to easily create and manage API Requests and build test Scenarios to ensure your API is working accurately. Scenarios are ordered sets of requests that allow you to simulate real-life usage of an API. Combined with the validation feature, it helps ensure that the behavior is stable over time and complies with rules.

Developers and Testers, have you ever had a tool you wanted to use but couldn’t? Managers, Architects, and Support Teams, are you tired of having to support so many tools you can’t keep them all straight? Introducing the “Test Infrastructure as a Freeway” approach - which can bridge this dichotomy and make both end-users and infrastructure support teams feeling valued.

We know that people learn in different ways - whether it’s visually or through language. People also like to create a narrative and share a story. The best way to do both of these things is in long-form documents, not dashboards. That’s why you’ll see a big focus on long-form stories in Yellowfin release 8.

It’s no secret that your digital performance determines success in today’s day and age. It’s our responsibility as testers and ops engineers to ensure that when we deploy into production, we deploy confidently, knowing we’ve tested for all possible points of failure. Then when, inevitably, something goes wrong in production, we’re able to find and fix the issue with as low of an MTTR that we can reasonably achieve.

The cloud is a powerful tool for managing heterogeneous workloads, but data is rarely in one place. Cloudera is introducing the first unified experience for Data Engineering and Machine Learning in the cloud running on Kubernetes.

Federated Learning is an algorithmic solution that allows you to build Machine Learning models and keep the data at its source. You can then share those models with servers in the data center and can improve privacy and reduce communication costs.

Short demo video to demonstrate how you can transfer contacts from Salesforce to Redshift easily and fast with the elastic.io Integration platform as a service (iPaaS)