Systems | Development | Analytics | API | Testing

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Unify Streaming and Analytical Data with Apache Iceberg, Confluent Tableflow, and Amazon SageMaker Lakehouse

Earlier this year, we unveiled our vision for Tableflow to feed Apache Kafka streaming data into data lakes, warehouses, or analytical engines with a single click. Since then, many customers have been exploring, experimenting with, and providing valuable feedback on Tableflow Early Access. Our teams have worked tirelessly to incorporate this feedback and are excited to bring Tableflow Open Preview to you in the near future.

What is shift-right in testing?

Relying solely on shift-left testing to catch issues? Think again. Testing expert @Mac Clark reveals why the best teams integrate shift-right testing as an 'insurance policy' for quality software, catching what pre-release tests might miss. Here’s why it matters: Watch the latest episode of Test Case Scenario to see how industry leaders combine shift-left and shift-right approaches for unbeatable software quality.

Shopfloor Integrations: Challenges, Use Cases, and Solutions

In the new age of Industry 4.0 the shopfloor is no longer an isolated environment. It’s the heartbeat of manufacturing operations, responsible for producing, monitoring, and refining goods. But since the lines blur between operational technology (OT) on the shopfloor and information technology (IT) in the enterprise, integrating these systems has become a formidable challenge.

Secure custom domains with Caddy

If you want to run a SaaS app where your customers can each have one of their own domains pointing to your app, then you will encounter two problems: For example, let's say you wanted to provide a status page service hosted at yourapp.com that allows customers to set up their own domain (like status.acmecorp.com) to be served by your app. Let's dive into the solutions..

Securely Query Confluent Cloud from Amazon Redshift with mTLS

Querying databases comes with costs—wall clock time, CPU usage, memory consumption, and potentially actual dollars. As your application scales, optimizing these costs becomes crucial. Materialized views offer a powerful solution by creating a pre-computed, optimized data representation. Imagine a retail scenario with separate customer and product tables. Typically, retrieving product details for a customer's purchase requires cross-referencing both tables.

Node.js v22: "Jod" Binaries Available

At NodeSource, we pride ourselves on delivering the best tools and open source support for Node.js users. Staying aligned with the latest releases is a key part of that commitment. With the latest Long-Term Support (LTS) release, Node.js 22 (codenamed "Jod"), we continue to ensure our users have access to reliable, secure, and up-to-date **Node.js binaries **through our NodeSource Binary Distributions.