A bug in software can be disruptive, elusive, maddening, and invasive. Indeed, a developer often needs the tenacity of Edison to find and fix an issue. But grit isn't the only asset a developer requires. One also needs information to debug code: What are the symptoms and effects of the issue? What is its frequency? Pervasiveness? Provenance? The evidence and artifacts of a bug — a core dump, stack trace, log, or test case — are invaluable.

Developing, distributing, and monitoring a drug or medical device is an extensive process. It involves the coordination of people, systems, and substantial amounts of data. Production slowdowns negatively impact the product lifecycle, adding unnecessary costs and keeping valuable products from the patients who need them. The need for automation is evident.

How the Fivetran Managed Data Lake Service stands out in a crowded market.

AppSignal's Node.js package now offers out-of-the-box support for the AMQPlib package, enabling monitoring of inbound and outbound messages from popular Advanced Message Queuing Protocol (AMQP) brokers like RabbitMQ. In this article, we'll show you how to set up and use AppSignal to monitor your AMQP broker's performance.

Eastern Europe has long been a key player in software development outsourcing, with established countries like Poland, Ukraine, Bulgaria, and Romania leading the way. The region continues to expand its market presence, with projections indicating a growth to a market volume of $1.25 billion by 2029. This trend highlights Eastern Europe’s ability to provide high-quality, affordable software development services. Several factors contribute to Eastern Europe’s strong position in this field.

Enterprises are continually seeking innovative ways to optimize their pricing models and drive revenue growth. Usage-based billing, where customers pay based on their actual consumption, has emerged as a compelling strategy. Unlike traditional flat-fee models, usage-based billing aligns more closely with customer needs and behaviors, offering flexibility and scalability that are crucial in a competitive market.

The addition of the Stream API was a significant enhancement in Java, introducing a powerful way to handle collections with functional-style operations. In Java 9, several improvements were made to this feature, adding more capabilities and refining its functionality. This tutorial will explore both the original Stream API and the enhancements introduced in Java 9, focusing on practical examples to illustrate their usage.