Systems | Development | Analytics | API | Testing

The Tricentis-sponsored Performance Advisory Council (PAC) is an industry-agnostic event that brings together performance engineering experts to speculate on and discuss the future of the industry. Subject matter experts, consultants, and veteran practitioners explore industry trends and best practices in this annual event.

We are thrilled to announce the release of NeoLoad 2024.1. This new version showcases our continued focus on our browser-based performance testing technology, RealBrowser, which empowers our users to quickly design, capture end-user metrics, and share insights to deliver high-quality web applications.

Integrating business intelligence (BI) into your RAD Studio application is a great way to increase product stickiness, improve customer loyalty and unlock data-led insights for your end-users. Also known as embedded analytics, having a suite of natively integrated BI tools in your software product opens up data access and insight discovery to your end-users as part of their workflow, helping them make business decisions and increasing the value of your software for their goals.

Monitoring your carbon footprint aligns your company with global efforts to address climate change and serves as a cornerstone of responsible corporate governance and cutting-edge sustainable business practices. Understanding your SAP data to its fullest is the first step on the journey towards a more sustainable future. With an advanced operational reporting solution that delivers proper data analysis, you can put your best foot forward.

Databricks is a popular platform for running Apache Spark workloads in the cloud. While Databricks makes it easy to spin up Spark clusters on demand, this flexibility can also lead to higher costs if not managed properly. In this article, we’ll explore some techniques for optimizing your Databricks clusters to reduce costs without sacrificing performance.

We want our engineering teams to move fast and be agile, yet many organizations confuse ownership of the infrastructure with ownership of the policies. The latter is what engineering teams want to rapidly iterate and develop their APIs. The former is the responsibility of the platform team. In this post, we'll talk about how to empower engineers with a secure API infrastructure strategy. This is part of a series on becoming a secure API-first company.

In this series of posts, we will look closely at how Kong Konnect Data Planes can take advantage of Autoscalers running on Amazon Elastic Kubernetes Services (EKS) 1.29 to support the throughput the demands API consumers impose on it at the lowest cost. The series comprises four parts.

Generative AI tops every list of major financial services trends for 2024. And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data.

Ever faced frustrating API documentation? Or wrestled with versioning headaches? Or battled integration nightmares? These are just some of the common challenges that plague the API development world. The good news is that there's a better way. By prioritizing five key areas – design clarity, comprehensive documentation, developer empathy, robust security, and automated workflows – you can overcome these hurdles and craft APIs that are a joy to use, maintain, and integrate with.

Keboola's availability on Google Cloud Marketplace opens up the potential of Google Gemini, allowing users to tackle advanced data tasks in just a couple of keystrokes. This integration marks the next step for AI-powered data processing and unlocks new opportunities for Keboola and Google Cloud users, language model enthusiasts, data scientists, application builders, and data engineers.