Systems | Development | Analytics | API | Testing

Kong announces Red Hat OpenShift Service on AWS (ROSA), AWS Graviton Processor, and Bottlerocket OS Readiness

Kong connects APIs and microservices natively within clouds, data centers, and Kubernetes platforms using intelligent automation. Built on an open source core, Kong’s solutions enable digital innovation by allowing organizations to reliably and securely manage the full lifecycle of APIs for legacy as well as modern architectures, including container runtimes and serverless technologies.

Qlik and Confluent Together Deliver Real-Time Data Streaming To Kafka

Qlik Data Integration enable you to automatically produce real-time transaction streams into Kafka. Take advantage of modern analytics and microservices, enabling streaming analytics as well as streaming ingestion into data lakes and data warehouse platforms. And unlock the potential of data from legacy systems with microservices environment integrations.

Creating a Successful Data Journey Through Enhanced Customer Experience

When I first became an industry analyst, I was fascinated with vendor focus on key capability sets and engineering. The market shifted between acquisition cycles, new start ups, and development cycles for a go-to market strategy based on differentiated tools and capability sets. All of this jockeying for position based on feature sets created strong technology stacks that paved the way for a platform approach and eventual modernization and the transition to cloud.

Join the Industry 4.0 Trend

The fourth industrial revolution is here! Industry 4.0 reinvents the way manufacturing companies complete day-to-day tasks by digitizing production processes. The latest technological advancements can lower operating costs, lessen product waste, reduce production line downtime, improve quality protocols, and allow manufacturers to make better use of factory resources.

Qlik Helps Deliver Greater Value From Databricks Lakehouse

To build a high-performing data lake, you need a solution for handling the labor-intensive manual engineering tasks that have traditionally slowed data delivery to a crawl. In other words, you need automated data integration, transformation, and cataloging. And that’s exactly what Qlik provides, when you use Qlik Data Integration with Databricks.