Systems | Development | Analytics | API | Testing

Two years after Seagate first shared their AI and MLOps success story, the data storage leader is now revealing how far they've come since then. In this blog post, you’ll see how the team manages thousands of AI models in production with only a few team members. This is thanks to their AI factory, whichdoes the heavy lifting of automated processes like monitoring, testing, mocking and more.

Collaboration across IT is increasingly critical to having a smooth and effective software release cadence. As software complexity grows, it becomes more difficult for individual team members to have a thorough understanding of all the different elements that comprise a successful software application.

Generative AI is quickly becoming ubiquitous in the software development space, with tools like Anthropic’s Claude offering rapid methodologies for code iteration, testing, and deployment. As new solutions, such as MCP (Model Context Protocol), are created to make integration more seamless, enterprises are adopting these AI solutions to optimize their development processes, a familiar challenge repeatedly arises: cost.

A new AI-assistive chat experience powered by Gemini in BigQuery data canvas can help with everything from data exploration to visualization.

You stare at last quarter’s sales data in your spreadsheets, but when your CEO asks “What should we do differently next month?” you freeze. The numbers are there, but they don’t tell a story. They don’t point to clear actions. Despite all the data you collect, you still make the most important decisions based on gut feeling. Sounds familiar? You’re not alone.

The complexity of current software, which involves the web, mobile, and numerous operating systems & browsers, presents a substantial testing challenge. Consistent functionality and performance across all platforms necessitate a thorough testing strategy. Automation testing services play an important part in solving this problem by allowing for efficient and complete testing across several settings.

Managing API versions is essential for keeping cross-platform applications stable and user-friendly. Here's what you need to know: Why Versioning Matters: It ensures compatibility across platforms like mobile, web, and IoT, each with unique update cycles.

In today's evolving healthcare landscape, seamless data exchange between stakeholders is critical for improving patient care, reducing administrative burdens, and ensuring compliance with regulatory mandates. The payer organization plays a pivotal role in facilitating this exchange between members, payers, and providers. This blog explores a structured approach to payer data exchange and explores the key components enabling interoperability.

At Keploy, we wanted our tool to be part of the Github pipeline so that developers could be guaranteed that modifications made in pull requests could be safely merged and deployed. The only problem we had was ~ is it possible. The reason for this question is because Keploy uses eBPF to track network calls, which requires sudo capabilities. So the question becomes, will GitHub grant users sudo rights for a program they construct and execute on their systems?