Systems | Development | Analytics | API | Testing

Container technologies are always evolving — and we're not talking Tupperware here. Over the past years, service mesh has emerged as a crucial component for managing complex, distributed systems. As organizations increasingly adopt Kubernetes for orchestrating their containerized applications, understanding how to effectively implement and utilize a service mesh within this environment becomes paramount.

Continuous integration and continuous delivery (CI/CD) have become essential for delivering high-quality software at speed - automating testing processes ensures that new code changes are thoroughly validated before reaching production. However, managing these automated tests across multiple CI/CD tools can be challenging. This blog post explores how Xray Enterprise can be seamlessly integrated with popular CI/CD tools to enhance your automated testing workflows.

Uncertainty is the new norm for today’s brand advertisers and advertising agencies. Google has once again changed its stance on third-party cookies, keeping them for at least the time being. With the future of cookies still uncertain, many advertisers have already been preparing to use alternative targeting strategies, such as first-party data and contextual targeting.

Ephemeral environments transform software development by providing temporary, isolated spaces for testing and deploying microservices without affecting production. Given its robust orchestration capabilities, Kubernetes excels at creating these temporary environments, allowing teams to efficiently manage and scale containerized applications. By integrating tools like Helm and Kustomize, developers can maintain a codified version of their app and its dependencies.

For large batch queries, BigQuery’s new TreeAH vector index delivers significant latency and cost reductions.

In this landmark year at Qlik, we celebrated three decades of innovation, strategic foresight, and unwavering commitment to transforming data into actionable insights. Our journey, from our humble beginnings to becoming a pivotal force in the analytics and data integration domain, reflects a deep-seated dedication to empowering our customers through technology.

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.

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.

In business, speed is key. When facing rapid change, adapting slowly eats into an organization’s revenue, opportunities, and market share. This has led organizations to deploy business process automation technologies to streamline processes, roll out products faster, and deliver services of a higher quality. However, organizations often stitch together disparate automation tools, leading to disjointed IT ecosystems and bloated licensing costs.

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.