Systems | Development | Analytics | API | Testing

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How To Weave Multicloud Data Fabric: Roadmap Session On Lumada Edge Intelligence

Like most enterprises, you are generating huge volumes of structured, semi- and unstructured data at edge devices, core data centers and even public clouds. How can you more easily manage your data across all your repositories and avoid delaying your applied use of analytics? Our answer is to weave a multicloud data fabric for you that simplifies connecting data repositories from the edge to the core and to the cloud. This helps you gain quicker business insights with a scalable and cost-effective approach. Join this session to get an in-depth view of our upcoming Lumada Data Services product vision and strategy.

To Manage All Your Data Pipelines, Let's Follow The Lumada Dataflow Studio Roadmap

You’re building data pipelines to help your business users innovate with data. But with the shift to self-service, the data management practices need to evolve. And in addition to building your own pipelines, you’ll also need to manage hundreds or even thousands of users’ pipelines. What now? - See for yourself Hitachi’s vision for Pentaho Data Integration and Lumada Dataflow Studio. You’ll learn how Lumada Dataflow Studio helps you address today’s and tomorrow’s challenges in data preparation, orchestration and monitoring.

Eliminate Object Locator Flakiness with Katalon's New Self-healing Feature

In Web UI testing, testers have to deal with increasing new page objects and changing identifiers when the web application grows. No matter if you are a manual or an automation tester, updating object locators for the Application Under Test (AUT) is a required step when changes are made. This helps ensure regression testing flows without friction and all key functionalities are not affected.

Introducing our new Java Spring Error Monitoring SDK

We’re excited to announce that we’ve strengthened our solution for Java Spring. Spring developers can now integrate Rollbar into their Java Spring Boot and Spring Web MVC applications even more quickly and easily. With our new SDK, instrumentation and getting real-time actionable error alerts takes just a few minutes. Spring has consistently been one of the most popular Java frameworks and we want to make sure we’re consistently offering the best possible solution for it.

It Takes Two to Kafka: AWS MSK + DataOps

I ordered a ride share recently from a beach; the app struggled to find a car, so I had to make several requests. After the fourth or fifth attempt, my bank alerted me to possible fraudulent activity on my credit card via SMS. Each time I ordered a ride, the service put a pending charge on my card. After I texted back that it was just me, the bank reactivated my account. Though the process was annoying, I felt reassured my bank could detect possible fraudulence that quickly.

Good Catch: Cloud Cost Monitoring

Aside from ensuring each service is working properly, one of the most challenging parts of managing a cloud-based infrastructure is cost monitoring. There are countless services to keep track of—including storage, databases, and computation—each with their own complex pricing structure. Monitoring cloud costs is quite different from other organizational costs in that it can be difficult to detect anomalies in real-time and accurately forecast monthly costs.