Data engineers, data scientists and other data professional leaders have been racing to implement gen AI into their engineering efforts. But a successful deployment of LLMs has to go beyond prototyping, which is where LLMOps comes into play. LLMOps is MLOps for LLMs. It’s about ensuring rapid, streamlined, automated and ethical deployment of LLMs to production. This blog post delves into the concepts of LLMOps and MLOps, explaining how and when to use each one.

Apache Kafka® cluster administrators often need to solve problems like how to onboard new teams, manage resources like topics or connectors, and maintain permission control over these resources. In this post, we will demonstrate how to use Confluent for Kubernetes (CfK) to enable GitOps with a CI/CD pipeline and delegate resource creation to groups of people without distributing admin permission passwords to other people in the organization.

At Ghost Inspector, we pride ourselves on creating tools that simplify the testing process, making it possible for anyone to build a test without coding skills. With our wide-ranging usability options, even our seasoned users sometimes wonder if they’ve fully tapped into Ghost Inspector’s capabilities. So we’ve put together this guide to detail Ghost Inspector’s more nuanced and advanced features.

Automating a process can be complex, especially when it’s a long-running process with many steps and complex business rules, cross-cutting multiple departments and systems in an enterprise. To automate a process like this from end to end, you’ll need a process automation strategy and software. Assuming you’ve ticked both of those boxes, the next step is putting those things to work, which is the focus of this post.

REST APIs are emerging as a simple and secure way to access sensitive government data, serving as conduits that enable seamless access and manipulation of data across various government systems. Government agencies face the pressing need to modernize their IT infrastructure to improve service delivery, enhance operational efficiency, and ensure the security of data exchanges.

This blog post describes support for materialized views for the Iceberg table format in Cloudera Data Warehouse. Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. It has been designed and developed as an open community standard to ensure compatibility across languages and implementations.

The process of building, code signing, and publishing mobile apps can be tedious and time-consuming, especially when working in a large team and also needing to share builds with QA engineers. That’s why Codemagic offers a cloud-based CI/CD service for mobile apps that automates the whole workflow with minimal time-effort on configuration. But what if you want to use Codemagic’s features locally or in another CI/CD environment, such as GitHub Actions?

In the present digital period, Artificial Intelligence (AI) is impacting the future of various aspects of Quality Assurance (QA). This evolution has resulted in strategies for ensuring quality is effectively integrated into development processes.

AI was the hot topic of 2023 and will continue to reign in 2024: ChatGPT first launched at the end of 2022 and became a massive hit in just a few months. Google released Bard shortly after, and then, new AI tools just kept popping up, prompting marketers to learn how to leverage them to become more efficient and productive.

Comma-Separated Values (CSV) files are at the cornerstone of data management. They offer a simplistic yet versatile format to organize and exchange data. CSV files are predominantly used in data analysis, machine learning, and database migrations. Their ability to encapsulate large datasets in a plain-text format makes them instrumental for these use cases.