In the first three articles in this four-post series, my colleague Jason English and I explored DataOps observability, the connection between DevOps and DataOps, and data-centric FinOps best practices. In this concluding article in the series, I’ll explore DataOps resiliency – not simply how to prevent data-related problems, but also how to recover from them quickly, ideally without impacting the business and its customers.

Yellowfin has been a trusted business intelligence (BI) tool for BMC Remedy users for many years, previously embedded inside Remedy under the "Smart Reporting" name. One key benefit of this long relationship is the enhanced data security that Yellowfin can offer BMC Remedy customers when accessing important business data through Remedy.

Processes are the foundation of your organization. They lay the groundwork for how your business operates, from product development and customer service to procurement and financial operations—and everything in between. Even work that isn’t formally defined in a process is likely a part of one. If you’ve ever tried to map or document a business process, you’ve probably learned that there’s no straightforward way to get it done.

Software testing is an essential part of software development, and test data management (TDM) plays a crucial role in ensuring the quality of a software product. As testing becomes more complex and data-intensive, managing test data effectively is becoming increasingly challenging. In this article, we will explore the importance of test data management and how it can be streamlined with the help of Katalon.

The rapid growth in software delivery as a solution for all business needs for organizations has intensified the demand for efficient and comprehensive software testing processes. Ensuring the quality, reliability, and security of software products is of paramount importance as they become increasingly integrated into various aspects of our lives.

This years I/O can be easily summed up by just one phrase: “AI”. AI absolutely everywhere. Sundar Pichai started, mentioned numerous times and ended the Keynote by mentioning AI. Some of the main announcements around AI for developers included the general availablity of “Bard” supporting 20 programming languages and use of the “PaLM 2” based models with some like “Gecko” small enough to run on mobile devices.

Developer productivity is a complex subject for which there is no magic bullet. However, economic pressure, increased market competition and shorter delivery circles force many organisations to improve their efficiency and to open up new models of operations. Measuring, maintaining and eventually improving engineering productivity in an increasingly hybrid workplace are important discussions many organisations are having right now.

TL;DR: M2 machines are up to 33% faster than M1 machines! For macOS and iOS builds, we see build time improvements of ~50% compared with the Mac Pro.

Hitachi Vantara has once again been recognized as a leader and fast mover in the 2023 GigaOm Radar for Unstructured Data Management: Infrastructure-Focused Solutions, marking the third consecutive year we have achieved this honor. The report emphasizes the growing complexity of unstructured data management and highlights the importance of having a solution that can seamlessly handle data movement at scale automatically.

As firms embrace digital transformation, it is crucial to build continuous delivery methodologies that allow for the speedy deployment of software applications. An organization that uses continuous delivery fosters quicker innovation and expedites the delivery of products and services to customers. Building standardized tooling and pipes for a bi-modal operating model is one of the best practices in a continuous delivery company.