Agencies typically have older procurement systems or too many systems. In either case, they are data entry intensive and error-prone, negatively impacting the procurement process and outcomes. The Office of Federal Procurement Policy’s Procurement Acquisition Lead Time memo from 2021 specifically calls for government modernization by “leveraging technology to modernize operations and help the workforce move from low- to high-value activities.”

BT Group's Smart Event Mesh: Centralized Event Streaming With Decentralized Customer Experience, Automation, and a Foundation Built on Confluent. BT Group is a British multinational telecommunications holding company headquartered in London, England. It has operations in around 180 countries and is one of the largest telecommunications companies in the world, providing a range of products and services including fixed-line, broadband, mobile, and TV.

For many Gen AI-based applications, usage-based billing is crucial. It is especially important if you are using third-party models that charge you for tokens used. You want to ensure that your cost of tokens used is covered by your customers, in addition to charging for your own value add. In this tutorial, we will build a quick Chat Bot API using OpenAI’s ChatGPT, and then use Moesif and Stripe to meter the number of tokens used and report the usage to Stripe to be charged.

As software development evolves, test automation plays an increasingly significant role in improving efficiency and quality. This is particularly true in the field of Continuous Integration and Continuous Deployment (CI/CD), where CI CD test automation has become a crucial component. Recent data from the CDF highlights the impact of these practices. Developers using CI/CD tools are consistently outperforming their peers, with at least a 15% higher likelihood of being top performers.

Legacy enterprises can often resist software testing modernization. An established brand presence and loyal customer base intensify the pressure to introduce new features and technology and can act as barriers to change.

Black box testing can help! Black box testing refers to a whole treasure trove of software testing techniques that help us achieve excellent test coverage while narrowing the number of cases and saving time. Read on to understand what black box testing is (exactly) and the techniques your team can use to impact your next cycle. You’ll also find some real-world examples along with the techniques.

The Apache Flink community released Apache Flink 1.20 this week. In this blog post, we'll highlight some of the most interesting additions and improvements. You’ll find a comprehensive rundown of all of the updates in the official release announcement. Recent Flink releases have emphasized improving Flink’s usability, not only for developers, but also for those operating Flink clusters, and this theme continues in this latest release.

Data fabric technology can help in a significant way, which is why it’s becoming a go-to method of choice for data management. Data fabric technology integrates information scattered across disparate sources and creates a unified data model through a virtual data layer. Data fabrics let you leave your existing data architecture intact, pulling directly from your current data sources and updating them in real time. So why is a data fabric approach the solution to your complex data challenges?