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Are you running your organization's Apache Kafka on-premise? If you are and you’re still reading this article, it’s more than likely that Kafka is or will be a keystone of your data infrastructure. But it’s also likely your teams are tired of the cost and complexity required to scale it, meaning your honeymoon with Kafka is coming to an end. So what does the imminent migration mean?

To kick off our series on debugging for software developers, we tell you how to build breakpoints step by step using Xcode and breakpoint Android Studio to isolate key information about your app’s performance, and save crucial time during the process.

We have three big announcements to our community today, and I wanted to talk to you about them: One, Allegro Trains is changing its name, two, we’re adding a completely new way to use Trains, and three, we’re announcing a bunch of features that make Trains an even better product for you! Read all about it on our blog at Clear.ml, our new website for our open source suite of tools.

Apps are essentially technology products—products that aim to solve a problem for users. Design is a salient feature in all apps; it is how users understand, interact, and use a product. The less intuitive an app is in terms of design, the harder it is for its target audience to learn to use it. Poor design ultimately costs products their user-base. No one will return to an app that is hard to use, nor recommend an app that is difficult to understand and learn.

Artificial intelligence and machine learning are relentlessly revolutionizing marketplaces and ushering in radical, disruptive changes that threaten incumbent companies with obsolescence. To maintain a competitive edge and gain entry into new business segments, many companies are racing to build and deploy AI applications.

One of the best ways to stay current in the fast-evolving field of artificial intelligence and machine learning is by following thought leaders, evangelists, and influencers in the industry. In this article, we’ve selected 10 of the most influential thought leaders (listed alphabetically) that are helping drive the field forward.

GKE is a Google Cloud service that offers a managed Kubernetes cluster, the nodes of the clusters are running on Google Cloud VM instances, the control plane and network is fully managed by GKE. GKE offers a sandboxing feature (https://cloud.google.com/kubernetes-engine/docs/concepts/sandbox-pods ), based on gVisor (https://gvisor.dev/docs/ ) it protects the host kernel from untrusted code.

2020 was quite a year of innovation for Qlik analytics. We delivered key new augmented analytics capabilities with big updates to Insight Advisor, we integrated intelligent alerts fully into Qlik Sense in less than a year, we continued to expand our visualization capabilities to make it easier to showcase your data in exciting and compelling ways, and we made it even easier to execute analytics in the cloud.

The key differences between Amazon Kinesis and Kafka are: Introducing data streamers! These services validate and route messages from one application to another, managing workload and message queues effectively. The result? Users process messages through a centralized processor and handle large data streams more efficiently. Amazon Kinesis and Apache Kafka are two data stream services.