Systems | Development | Analytics | API | Testing

To define it simply, we can say- Functional testing ensures every part of an application does exactly what it’s supposed to do. It’s about verifying that the software’s functions and features behave as expected from an end-user’s perspective. And unlike other types of testing, such as performance or load testing, functional testing focuses on the functionality itself rather than factors like speed or stability under load.

ThoughtSpot prioritizes the high availability and minimal downtime of our systems to ensure a seamless user experience. In the realm of modern analytics platforms, where rapid and efficient processing of large datasets is essential, swift metadata access and management are critical for optimal system performance. Any delays in metadata retrieval can negatively impact user experience, resulting in decreased productivity and satisfaction.

Understanding the difference between local and remote branches is crucial for working with Git effectively.

In this tutorial, learn how to use Gretel to generate synthetic data with BigQuery DataFrames, a Python client for BigQuery.

In software testing, it is our job to understand how applications behave in their real-world environment. With observability, teams gain a better view: not just detecting issues but understanding why they’re occurring in the first place. In testing observability, unlike traditional monitoring, which typically signals when things go wrong, observability focuses on why and where it happened so the team can optimize system health.

In the fast-moving world of software development, traditional testing methods are frequently inadequate since quality and agility are paramount. Although necessary, manual testing services can be labor-intensive and prone to human error. Organizations are using test automation services more often to assure perfect user experiences and speed product delivery.

Today, WSO2 launched updates to the open source API management platform for building and managing full lifecycle APIs with new releases of its core WSO2 API Manager offering and WSO2 API Platform for Kubernetes (WSO2 APK).

We understand how complex app distribution can be, especially when juggling multiple tools for mobile app testing and store releases. This is what prompted us to build Release Management back in 2022. Originally tightly coupled to Bitrise CI, we're excited to announce that Release Management can now be used with any CI tool. This means all mobile teams can use Release Management, and we're offering it with a generous free tier, regardless of their CI tool.

Today we are excited to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP) for PDF document analysis, “Document Analysis with Command R and FAISS”, leveraging Cohere’s Command R Large Language Model (LLM), the Cohere Toolkit for retrieval augmented generation (RAG) applications, and Facebook’s AI Similarity Search (FAISS).

When it comes to building AI models, the process is often oversimplified as “just get a GPU and start building.” While securing access to GPUs can be a challenge, gaining access to GPU clusters is only the beginning of the journey. The real complexity lies in effectively leveraging GPU capabilities to deliver meaningful business impact.