Articles

Apache APISIX, the Apache-led API Gateway, comes out of the box with many plugins to implement your use case. Sometimes, however, the plugin you’re looking for is not available. While creating your own is always possible, it’s sometimes necessary. Today, I’ll show you how to route users according to their location without writing a single line of Lua code.

Why Geo-Routing?

Geo-routing is to forward HTTP requests based on a user’s physical location, inferred from their IP. There are many reasons to do that, and here is a couple of them.

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In a previous post, I showed you how to use AWS CDK to automate the deployment and configuration of your Apache Airflow environments using Managed Workflows for Apache Airflow (MWAA) on AWS. In this quick how-to guide, I will share how you can use Terraform to do the same thing.

You will need:

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Doris is an interactive SQL data warehouse based on MPP architecture, mainly used to solve near real-time reporting and multidimensional analysis. Doris’s efficient import and query are inseparable from the sophisticated design of its storage structure.

This article mainly analyzes the implementation principle of the storage layer of the Doris BE module by reading the code of the Doris BE module, and expounds and decrypts the core technology behind the efficient writing and query capabilities of Doris. It includes Doris column storage design, index design, data read and write process, compaction process, version management of Tablet and Rowset, data backup, and other functions.

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You might have heard about the K8ssandra project and want to start contributing, or maybe you want to start using all of its features. If you aren’t familiar with K8ssandra (pronounced like “Kate Sandra”), you can read this overview before digging into the developer activities in this post.

In a nutshell, K8ssandra is an open-source distribution of Apache Cassandra™ for Kubernetes, which includes a rich set of trusted open-source services and tooling. K8ssandra comes with handy features that are baked-in and pluggable, which allows for flexible deployment and configuration.

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IT modernization and innovative new technologies change the healthcare industry significantly. This blog series explores how data streaming with Apache Kafka enables real-time data processing and business process automation. Real-world examples show how traditional enterprises and startups increase efficiency, reduce cost, and improve the human experience across the healthcare value chain, including pharma, insurance, providers, retail, and manufacturing. This is part five: Open API and Omnichannel. Examples include Care.com and Invitae.

Blog Series – Kafka in Healthcare

Many healthcare companies leverage Kafka today. Use cases exist in every domain across the healthcare value chain. Most companies deploy data streaming in different business domains. Use cases often overlap. I tried to categorize a few real-world deployments into different technical scenarios and added a few real-world examples:

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With the amount of data produced on a daily basis continuing to rise, so too do the number of data points that companies collect. Apache Iceberg was developed as an open table format to help sift through large analytical datasets.

This Refcard introduces you to Apache Iceberg by taking you through the history of its inception, dives into key methods and techniques, and provides hands-on examples to help you get introduced to the Iceberg community.
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IT modernization and innovative new technologies change the healthcare industry significantly. This blog series explores how data streaming with Apache Kafka enables real-time data processing and business process automation. Real-world examples show how traditional enterprises and startups increase efficiency, reduce cost, and improve the human experience across the healthcare value chain, including pharma, insurance, providers, retail, and manufacturing. This is part five: Machine Learning and Data Science. Examples include Recursion and Humana.

Blog Series – Kafka in Healthcare

Many healthcare companies leverage Kafka today. Use cases exist in every domain across the healthcare value chain. Most companies deploy data streaming in different business domains. Use cases often overlap. I tried to categorize a few real-world deployments into different technical scenarios and added a few real-world examples:

Source de l’article sur DZONE

The Jersey project is very well documented so it makes it easy to learn REST with Java. In this article I’m going to build two projects. The first project will be a very simple HTML page that presents a form to the user and then submits it to a REST project residing on the same server. The second project will be the REST part.

For this article I used the following tools:
1. Netbeans 7
2. Apache Tomcat 7
3. Jersey
4. Java

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Twitch, YouTube, Instagram, Facebook — virtually every major brand nowadays uses live streaming to connect and engage their audience. For enterprises and developers building cloud-native applications, this growing trend creates a need for streaming technologies that can reliably handle the rush of massive amounts of data, while also being flexible and easy to manage for developers.

One such technology is Apache Pulsar® — an open-source, distributed messaging and streaming platform that’s easy to deploy, simple to scale, and packed with developer-friendly APIs. So the next question is: how can you stream from Pulsar to Apache Cassandra®, the powerful NoSQL database designed to support data-heavy applications in the cloud?

Join our beginner-friendly Pulsar workshop on YouTube and learn how to connect Pulsar with Cassandra for streaming! In this post, we’ll set the scene with an introduction to Pulsar and guide you through four hands-on exercises where you’ll use these free, cloud-native technologies: Katacoda, Kesque, GitPod, and DataStax Astra DB. Each exercise will also be linked to the step-by-step instructions on the DataStax Developers GitHub wiki.

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Ever looked for a comprehensive intro to Maven that is fun and entertaining at the same time? Then have a look at this brand-new episode of the « Marco Codes » YouTube channel: Maven Tutorial – Nice & Easy.

In this video, you’ll learn how to use Maven like a professional: installations, using the mvn wrapper, using Maven together with IDEs, and of course the Maven basics. From pom.xml concepts to running commands (clean install) to understanding Maven repositories and multi-module projects, by the end of it, there won’t be many questions left when it comes to Maven.

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