Systems | Development | Analytics | API | Testing

A Complete Guide To AI/ML Software Testing

There is no doubt about it: Artificial Intelligence (AI) and Machine Learning (ML) has changed the way we think about software testing. Ever since the introduction of the disruptive AI-powered language model ChatGPT, a wide range of AI-augmented technologies have also emerged, and the benefits they brought surely can’t be ignored. In this article, we will guide you to leverage AI/ML in software testing to bring your QA game to the next level.

Dockerfile Deployment on High-Performance MicroVMs is GA

Today, we are excited to announce the support of Dockerfile based deployments in general availability. You can now deploy any GitHub repository that contains a Dockerfile across all our locations worldwide. It can be used to deploy APIs, full-stack applications as well as workers with no extra cost. Building and deploying using Dockerfiles offers more flexibility: you can deploy any kind of application, framework, and runtime, including with custom system dependencies.

Contributing to Open-Source In Different Ways #podcast #opensource

Welcome to Test Case Scenario! In this episode hosted by Jason Baum, our expert guests Evelyn Coleman and Marcus Merrell, as well as special guest BekahHW, creator of the Virtual Coffee community, delve into the exciting world of open source. Join them as they discuss the ins and outs of getting involved in and contributing to open-source projects, fostering a sense of community and inclusivity, and even embarking on the challenge of 100 Days of OSS (Open Source Software).

Creating a data-driven culture with self service and data literacy

In this segment, Geraldine Wong, CDO of GXS Bank, explains how her bank's data strategy aims to promote inclusion through superior data insights and AI, but achieving this requires building a data-driven culture by providing employees the right tools, access, and knowledge about the data.

#OpenSource: Does It Help with Career Progression?

Welcome to Test Case Scenario! In this episode, join our host Jason Baum and panelists from Sauce Labs as they dive deep into the thrilling world of open source. Nikolay Advolodkin, Principal Developer Advocate, Marcus Merrell, VP Technology Strategy, and Diego Molina, Open Source Program Lead, share insights on the future of open source, discuss exciting projects, and offer valuable lessons for those venturing into the realm of open source. Get ready for an engaging conversation on the latest open-source trends, developments, and expert advice.

Designing Event-Driven Systems

Many forces affect software today: larger datasets, geographical disparities, complex company structures, and the growing need to be fast and nimble in the face of change. Proven approaches such as service-oriented (SOA) and event-driven architectures (EDA) are joined by newer techniques such as microservices, reactive architectures, DevOps, and stream processing. Many of these patterns are successful by themselves, but as this practical ebook demonstrates, they provide a more holistic and compelling approach when applied together.

Real-time Fraud Detection - Use Case Implementation

When it comes to fraud detection in financial services, streaming data with Confluent enables you to build the right intelligence-as early as possible-for precise and predictive responses. Learn how Confluent's event-driven architecture and streaming pipelines deliver a continuous flow of data, aggregated from wherever it resides in your enterprise, to whichever application or team needs to see it. Enrich each interaction, each transaction, and each anomaly with real-time context so your fraud detection systems have the intelligence to get ahead.

How to Tune Kafka Connect Source Connectors to Optimize Throughput

Kafka Connect is an open source data integration tool that simplifies the process of streaming data between Apache Kafka® and other systems. Kafka Connect has two types of connectors: source connectors and sink connectors. Source connectors allow you to read data from various sources and write it to Kafka topics. Sink connectors send data from the topics to another endpoint.