What is the role of data governance in cybersecurity? How do bad developer behaviors affect data quality? How will generative AI impact data management and security? This week, we revisit the Developers Behaving Badly Report with Lauren Maffeo, Senior Service Designer at Steampunk!

Uncover the power of WSO2 APK's Distributed Tracing capabilities in our latest screencast! Dive into the world of seamless API management with insights from popular tracing systems like Jaeger, Zipkin, Azure Application Insights, and OTLP gRPC. Learn the why and how of configuring distributed tracing in APK, enabling you to diagnose and resolve performance issues, errors, and exceptions efficiently.

Nuclio is a high-performance serverless framework focused on data, I/O, and compute intensive workloads. It is well integrated with popular data science tools, such as Jupyter and Kubeflow; supports a variety of data and streaming sources; and supports execution over CPUs and GPUs. The Nuclio project began in 2017 and is constantly and rapidly evolving; many start-ups and enterprises are now using Nuclio in production. In this video, Tomer takes you through a quick demo of Nuclio, triggering functions both from the UI and the CLI.

There is now an updated search experience for finding datasets, analytics application, and ML models running on Qlik Cloud tenants so that users can access insights quickly and easily.

The transactional outbox pattern leverages database transactions to update a microservice's state and an outbox table. Events in the outbox will be sent to an external messaging platform such as Apache Kafka. This technique is used to overcome the dual-write problem which occurs when you have to write data to two separate systems such as a database and Apache Kafka. The database transactions can be used to ensure atomic writes between the two tables. From there, a separate process can consume the outbox and update the external system as required.

Fueled by vast data volumes and powerful computing, AI is revolutionizing work. To capture the value of Generative AI for business, companies need to customize LLMs with their enterprise data. But feeding sensitive data into externally hosted LLMs poses security and exposure risks, and self-hosting LLMs carry a heavy operational burden from maintaining complex environments.

Learn how Fivetran’s automated data movement platform allows you to accelerate building Gen AI applications for customer service in Google Cloud with BigQuery and Vertex AI. Kelly Kohlleffel steps you through creating four connectors to BigQuery, including a relational database connector plus Jira, Slack, and Zendesk connectors. Then you’ll see how easy it is to quickly build two Gen AI apps, one for search and one for chat, using Vertex AI and the new customer service datasets in BigQuery.